- Comp-neuro - lists.cnsorg.org

Apply to the Allen Institute's OpenScope program
by Anton Arkhipov 24 Jul '23

24 Jul '23

Dear Colleagues, Applications are now accepted for the Allen Institute's OpenScope program. Please apply! The OpenScope program, supported by the NIH BRAIN grant U24NS113646, provides the neuroscience community access to the Allen Brain Observatories. The program was inspired by astronomical observatories, which allow a community of scientists to access platforms too large or expensive for most laboratories. Through OpenScope, anyone can propose experiments for Allen Institute staff to run on Allen Institute pipelines. If selected, the proposed experiments are performed with the Allen Institute's verified, reproducible, and open protocols for cutting-edge behavioral training, in vivo Neuropixels electrophysiology, or two-photon calcium imaging. Data produced from the experiments is then shared with applicants, and, eventually, the broader community. How to apply? The program uses a double-blinded proposal review. Individuals or teams draft and submit a proposal, with an applicant commitment to perform data analysis and pursue publication. * RFP released July 10, 2023 * 2pg Letter of Intent Due: September 12th 2023 * 6pg Full Proposal Due: November 7th 2023 * For more details: https://alleninstitute.org/division/mindscope/openscope/ * If any questions or to discuss projects, please reach out to openscope(a)alleninstitute.org<mailto:openscope@alleninstitute.org> New for 2023: Community Proposal Research Questions and Experimental Methods are proposed and voted on by the community in an open, collaborative process. The resulting data is immediately available to the community for anyone to analyze and publish. * Posted on Allen Brain Map Community Forum: https://community.brain-map.org/ * Opportunity announced in June 2023 * Research Question Phase: June-July 2023 * Methods & Analysis Phase: July-September 2023 * Final Vote by the community in November 2023 during SFN Best wishes, Anton. Anton Arkhipov Investigator Allen Institute, Seattle, WA

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ICANN 2023 - Call for Participation
by Sebastian Otte 24 Jul '23

24 Jul '23

32nd International Conference on Artificial Neural Networks ICANN 2023 https://e-nns.org/icann2023 !!! EARLY BIRD REGISTRATION ENDS ON JULY 25 !!! Conference Dates: 26th to 29th of September 2023 ======================================================================= The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2023 the School of Engineering of Democritus University of Thrace, Greece, will organize ICANN 2023. This will be held at Astoria Capsis Hotel at Heraklion city, Crete, Greece from 26th to 29th of September 2023. The conference will be organized as a HYBRID event. CONFERENCE TOPICS ICANN 2023 is a conference featuring tracks in Brain Inspired Computing, Machine Learning, and Artificial Neural Networks, with strong cross-disciplinary interactions and applications. A non-exhaustive list of topics includes: Machine Learning: Deep Learning, Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models, Recurrent Networks, Ethics of AI Brain Inspired Computing: Cognitive Models, Computational Neuroscience, Self-Organization, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Cognitive Neuroscience, Brain Informatics, Perception and Action, Spiking Neural Networks Neural Applications for: Bioinformatics, Biomedicine, Intelligent Robotics, Neurorobotics, Language Processing, Speech Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neuromorphic Computing and Edge AI, Evolutionary Neural Networks SPECIAL SESSIONS ICANN 2023 will host three special sessions: - Neurorobotics (track NRR 2023) - Recent Advances in Spiking Neural Networks (track ARNN 2023) - The challenge of errors, stability, robustness, and accuracy in deep neural networks (track ESRA in DNN 2023) BEST PAPER AWARDS ENNS will sponsor a maximum of four best paper awards. All awards will be presented during the final ceremony. TRAVEL GRANTS The European Neural Network Society sponsors a number of Student Travel Grants covering part of the costs for attending ICANN. Details are provided on the conference website. ORGANIZATION General Chairs Iliadis Lazaros, Democritus University of Thrace, Greece Plamen Angelov, Lancaster University, UK Program Chairs Antonios Papaleonidas, Democritus University of Thrace, Greece Elias Pimenidis, UWE Bristol, UK Chrisina Jayne, Teesside University, UK Honorary Chairs Stefan Wermter, University of Hamburg, Germany Vera Kurkova, Czech Academy of Sciences, Czech Republic Nikola Kasabov, Auckland University of Technology, New Zealand Organizing Chairs Antonios Papaleonidas, Democritus University of Thrace, Greece Anastasios Panagiotis Psathas, Democritus University of Thrace, Greece George Magoulas, University of London, Birkbeck College, UK Haralambos Mouratidis, University of Essex, UK Award Chairs Stefan Wermter, University of Hamburg, Germany Chukiong Loo, University of Malaysia, Malaysia Communication Chairs Sebastian Otte, University of Tübingen, Germany Anastasios Panagiotis Psathas, Democritus University of Thrace, Greece

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Mathematical Bridges for the Brain: Krembil Computational Neuroscience Symposium (October 2--3, 2023; Toronto, Canada)
by De Pitta, Maurizio 24 Jul '23

24 Jul '23

Dear colleagues, Please mark your calendars for this fall's Krembil Computational Neuroscience Hub Symposium on "Mathematical Bridges for the Brain: Theory and Practice in Neural Health and Disease," which will happen on October 2--3, 2023, hosted by the Krembil Research Center in Toronto, Canada. The Symposium has been thoughtfully crafted to showcase cutting-edge computational approaches that bridge across various brain scales, ranging from cellular to systems neuroscience, with a particular focus on translational and clinical applications. By bringing together prominent experts from the intersection of mathematics, engineering, clinical, and experimental neurosciences, we aim to delve into the depths of the latest computational methods in understanding brain pathophysiology. Speakers include: Emery Brown (Harvard/MIT) Maurizio De Pitta (Krembil / Basque Center for Applied Mathematics) Brent Doiron (UChicago) Salvador Dura-Bernal (SUNY) Lorraine Kalia (Krembil, UHN) Rahul Krishnan (UToronto) Milad Lankarany (Krembil/UToronto) Jérémie Lefebvre (UOttawa/Krembil) Wilten Nicola (UCalgary) Annabelle Singer (Georgia Tech/Emory) In keeping with the long-standing tradition of the KCNhub, the Symposium is not just a platform for academic exchange; it also presents a wonderful opportunity for networking and forging connections with fellow computational neuroscientists and digital medicine enthusiasts Please visit the Eventbrite site for further details on the program and registration https://www.eventbrite.ca/e/krembil-computational-neuroscience-kcn-symposiu… Due to the limited number of seats available, registration is free but mandatory. Looking forward to seeing you in Toronto this fall. On behalf of the Organizing Committee. Maurizio De Pitta ----- Maurizio DE PITTA Principal Investigator Neuron-Glia Interactions Lab (NGILab) Krembil Research Institute, 4KD-509 60 Leonard Ave, Toronto, ON M5T 0S8, CA +1.416.603.5800 ext. 3290 This e-mail may contain confidential and/or privileged information for the sole use of the intended recipient. Any review or distribution by anyone other than the person for whom it was originally intended is strictly prohibited. If you have received this e-mail in error, please contact the sender and delete all copies. Opinions, conclusions or other information contained in this e-mail may not be that of the organization. If you feel you have received an email from UHN of a commercial nature and would like to be removed from the sender's mailing list please do one of the following: (1) Follow any unsubscribe process the sender has included in their email (2) Where no unsubscribe process has been included, reply to the sender and type "unsubscribe" in the subject line. If you require additional information please go to our UHN Newsletters and Mailing Lists page. Please note that we are unable to automatically unsubscribe individuals from all UHN mailing lists. Patient Consent for Email: UHN patients may provide their consent to communicate with UHN about their care using email. All electronic communication carries some risk. Please visit the UHN website and search “Using email to Communicate with Your UHN Health Care Team” to learn about the risks of electronic communication and how to protect your privacy. You may withdraw your consent to receive emails from UHN at any time. Please contact your care provider, if you do not wish to receive emails from UHN.

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Neuronal data scientist position
by Nikolas Karalis 23 Jul '23

23 Jul '23

If you are a data scientist, programmer, or engineer, with a keen interest in helping to understand the brain, consider joining our team Neuronal Circuits & Brain Dynamics <http://neuronaldynamics.eu/> at the Paris Brain Institute <https://institutducerveau-icm.org/en/> (ICM). We study the principles of neuronal circuit organization and brain dynamics. Our work focuses on unraveling the fascinating mysteries of how the brain generates internal states and how neuromodulators, such as dopamine and serotonin, influence neuronal activity and communication between brain regions during behavior. To achieve our goals, we perform large-scale recordings from thousands of neurons simultaneously using multimodal recordings, including electrophysiological or optical imaging approaches. We employ state-of-the-art techniques, including behavioral, optogenetic, imaging, electrophysiological, and genetic approaches in mice to record and manipulate the brain activity during behavior. Using this unprecedented data, we will be able to understand information flow in the brain in ways that would be unimaginable only a few years ago. However, the scale and complexity of this data provide major challenges and unique opportunities. We are looking for computationally-orientated researchers to join our team as temporary or permanent staff members, to help us develop methods to interact and analyze our multi-dimensional neurophysiological and behavioral data, and to develop innovative analysis approaches and efficient processing pipelines, to accelerate the progress of our research on our path to understanding the brain. As a data analyst in our group, you will interact closely with experimentalists and contribute crucially to the research. Our team values diversity and welcomes researchers from all backgrounds and profiles. If your profile aligns with our research needs, we encourage you to get in touch with us. Profile - Outstanding analytical and quantitative skills - Interest in neuronal dynamics and computation, behavior, and neural circuits - Ability to analyze multi-dimensional and multi-modal data - PhD or MSc in neuroscience, data science, computer science, applied mathematics, physics, or equivalent combination of degree and experience - Experience with computational statistics, data modeling and analysis, signal processing, and modern machine-learning methods - Solid programming skills and ability to write high-quality, reusable code in Python or Matlab - Experience with software development (e.g., version control, unit testing, databases) is preferable Main responsibilities - Organize data management pipeline - Analyze neurophysiological and behavioral data - Develop analysis methods and software tools to facilitate the analysis of multi-modal and multi-dimensional neurophysiological data - Implement cutting-edge data science approaches (statistical, computational, and ML) for complex neuroscience problems - Create robust and efficient data pipelines to extract, transform, and visualize data - Develop, test, and implement scientific software (e.g., for reproducible analysis pipelines and data storage) - Interact with experimentalists to design experiments and implement analyses - Analyze current technologies, algorithms, models, and methods - As part of your role, you will have the opportunity to collaborate with other teams, attend trainings, mentor students, have independent projects, and present at major relevant conferences (Cosyne, NeurIPS) *We offer* competitive compensation and benefits within an interactive, interdisciplinary working environment, where cutting-edge science thrives and a dynamic, international research community awaits. If you would like to know more, visit our website: neuronaldynamics.eu and read about our team's mission and values <https://www.neuronaldynamics.eu/team/mission-values>. *Why join our team* - We are a young and vibrant group of scientists, fueled by curiosity and passion for understanding the brain. We work as a team and use or invent cutting-edge neurotechnologies to answer fundamental questions in neuroscience. - Our team is committed to the training, mentorship, and career development of the next generation of neuroscientists. To achieve that, we foster an inclusive and supportive environment, where we can learn and advance science while having fun in the process. - Our work is multi-disciplinary, and so is our team. Irrespective of your background and project, our research environment will expose you to a diverse range of experimental and computational aspects of systems and circuits neuroscience. We thus encourage everyone to apply, especially those from underrepresented minorities. - Working in our team will provide you with invaluable experience across all stages of research, as well as publishing and communicating research results. - Our team is affiliated with Inserm <https://www.inserm.fr/> and is located in the Paris Brain Institute (ICM) <https://institutducerveau-icm.org/>. - Our vibrant community at the ICM and throughout Paris promotes broad collaboration and learning opportunities. *How to apply* If you are eager to join our vibrant research community and contribute to groundbreaking discoveries, we warmly welcome your application. The position is available immediately, with the potential for a permanent contract based on performance. Please send a statement of your past work and future research interests, your CV, and contact information for 1-3 references to the address: contact(a)neuronaldynamics.eu -- Nikolas Karalis Neuronal Circuits & Brain Dynamics Lab <http://neuronaldynamics.eu/> - Paris Brain Institute

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Research technician position
by Nikolas Karalis 23 Jul '23

23 Jul '23

We are seeking a passionate and dedicated research technician to join our team Neuronal Circuits & Brain Dynamics <http://neuronaldynamics.eu/> at the Paris Brain Institute <https://institutducerveau-icm.org/en/> (ICM). Our work focuses on unraveling the fascinating mysteries of how the brain generates internal states and how neuromodulators, such as dopamine and serotonin, influence neuronal activity during behavior. To achieve our goals, we employ state-of-the-art techniques, including behavioral, optogenetic, imaging, electrophysiological, and genetic approaches in mice. *Profile* - We are searching for a science enthusiast who recognizes the importance of the foundational work that keeps a lab thriving. - Responsibility, attention to detail, and high motivation. - Exceptional organizational and communication skills are a must. - As a valuable team member, you will tackle lab-related issues independently, fostering a friendly and dedicated work environment. - Your record-keeping and computer skills will be essential, as will your fluency in English. Fluency in French is a plus. - While prior experience in specific neuroscience techniques (such as stereotaxic surgeries, behavior, and histology) is advantageous, it is not mandatory, as training will be provided. - However, candidates should have completed relevant technical training or hold a university degree in biological sciences (or equivalent). - Applicants with an M.Sc. or Ph.D. are encouraged to apply. - A desire to learn new techniques and apply them with high standards, coupled with a strong work ethic and reliability, will be crucial. - Experience in neuroscience techniques such as stereotaxic surgeries, behavioral experimentation, and histological processing is highly desired. *Main Responsibilities* - As a research technician, you are at the epicenter of our research activities and you will serve as a point of reference of the lab know-how across generations of lab members. - As a hands-on research technician, your primary responsibilities will include organizing the laboratory, maintaining basic lab infrastructure, performing routine tasks, regularly updating lab databases, ensuring the lab runs efficiently, and contributing to the team's research efforts. - Collaborating closely with the team, you will contribute to ongoing research projects and you will conduct behavioral and optogenetic experiments, carry out stereotaxic surgeries, and handle histological processing, including tissue slicing, immunostaining, and fluorescent microscopy. - You will be responsible for learning, developing, and passing on Standard Operating Procedures (SOPs) for the techniques utilized in our lab. - Additionally, in coordination with the head of the animal facility, you will supervise and ensure adherence to animal welfare guidelines, as well as maintain project permits and annual reports. - This role provides the opportunity to lead and participate in research projects to the extent of your desire. *We offer* competitive compensation and benefits within an interactive, interdisciplinary working environment, where cutting-edge science thrives and a dynamic, international research community awaits. As part of your role, you will receive extensive training in traditional and cutting-edge neuroscience techniques related to mice. If you are eager to join our vibrant research community and contribute to groundbreaking discoveries, we warmly welcome your application. The position is available immediately, with the potential for a permanent contract based on performance. If you would like to know more, visit our website: neuronaldynamics.eu and read about our team's mission and values <https://www.neuronaldynamics.eu/team/mission-values>. *Why join our team* - We are a young and vibrant group of scientists, fueled by curiosity and passion for understanding the brain. - We work as a team and use or invent cutting-edge neurotechnologies to answer fundamental questions in neuroscience. - Our team is committed to the training, mentorship, and career development of the next generation of neuroscientists. To achieve that, we foster an inclusive and supportive environment, where we can learn and advance science while having fun in the process. - Our work is multi-disciplinary, and so is our team. Irrespective of your background and project, our research environment will expose you to a diverse range of experimental and computational aspects of systems and circuits neuroscience. We thus encourage everyone to apply, especially those from underrepresented minorities. - Our team is affiliated with Inserm <https://www.inserm.fr/> and is located in the Paris Brain Institute (ICM) <https://institutducerveau-icm.org/>, where we have access to state-of-the-art facilities and resources. - Our vibrant community at the ICM and throughout Paris promotes broad collaboration and learning opportunities. *How to apply* If you are eager to join our vibrant research community and contribute to groundbreaking discoveries, we warmly welcome your application. The position is available immediately, with the potential for a permanent contract based on performance. Please send a statement of your past work and interests, your CV, and contact information for 1-3 references to the address: contact(a)neuronaldynamics.eu -- Nikolas Karalis Neuronal Circuits & Brain Dynamics Lab <http://neuronaldynamics.eu/> - Paris Brain Institute

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Postdoctoral researcher position
by Nikolas Karalis 23 Jul '23

23 Jul '23

We invite applications for postdoctoral researchers to join our team Neuronal Circuits & Brain Dynamics <http://neuronaldynamics.eu/> at the Paris Brain Institute <https://institutducerveau-icm.org/en/> (ICM) to study the principles of neuronal circuit organization and brain dynamics. If you are an ambitious and driven researcher, interested in experimental or computational systems and circuits neuroscience, and seeking an environment that fosters intellectual and professional growth, we invite you to consider joining our team. Together, we'll make a lasting impact on science and pave the way for your successful research career. Our team values diversity and welcomes researchers from all backgrounds and profiles. If your project ideas align with our research focus, we encourage you to get in touch with us. *Research Topics* We are interested in how neuronal circuits are organized and how the collective action of neurons gives rise to the emergent complex brain dynamics and behavior. We focus on how neurochemicals and bodily signals influence the brain. - We study how the simultaneous release of neuromodulators <https://www.neuronaldynamics.eu/research/research-topics/neuromodulators> influences the activity of neurons and the coordination of brain regions - We also study how bodily signals, such as breathing <https://www.neuronaldynamics.eu/research/research-topics/breathing>, serve as fundamental elements of the oscillatory circuit architecture - We employ our approach to study the brain dynamics during behavior and sleep <https://www.neuronaldynamics.eu/research/research-topics/sleep-memory-conso…> and their involvement in the transformation of fleeting experiences into long-term memories To answer these fundamental questions about the nature and function of the brain, we combine a range of cutting-edge neurotechnologies <https://www.neuronaldynamics.eu/research/techniques> that enable us to observe and control the activity of the brain. We aim to identify and explore the fundamental principles of neural circuit organization and apply our understanding for the improvement of the human condition. Pure experimental, as well as computational/theoretical, or hybrid projects are available, depending on your interest and skills. *Profile* We are particularly interested in researchers with one or more of the following: - Background in neuroscience, physics, mathematics, computer science, or biology - Experience with rodent neuroscience - *Experience with in vivo* or slice electrophysiology, or 1P/2P imaging - Experience with behavioral experimentation Quantitative spirit and proficiency in data analysis and programming are essential for success in our lab. We strongly encourage applications from individuals that have been traditionally underrepresented in the sciences. *Opportunities* As a postdoctoral researcher in our group: - You will be an integral part of shaping our research direction and team culture. You will engage in exciting and meaningful research and will have access to all the tools necessary to push the boundaries of scientific exploration, with our cutting-edge techniques and state-of-the-art facilities. - You will have the opportunity to mentor graduate and master's students. This role enhances your leadership and communication skills while you contribute to the growth of the next generation of scientists. By guiding and collaborating with these aspiring researchers, you contribute to the collective knowledge and expertise of the team. Mentoring fosters a supportive and enriching atmosphere that reduces the mental strain of working alone on a project, as you can share ideas, problem-solve together, and gain fresh perspectives. - You will have ample opportunities to develop vital skills for your future academic career, such as mentoring, grant writing, presenting your work, publishing papers, and leading projects to completion. In parallel, you will gain invaluable first-hand experience in setting up and managing a young research team. - We encourage participation in conferences and workshops, where you can present your research findings to the wider scientific community. *Why join our team* - We are a young and vibrant group of scientists, fueled by curiosity and passion for understanding the brain. We work as a team and use or invent cutting-edge neurotechnologies to answer fundamental questions in neuroscience. - Our team is committed to the training, mentorship, and career development of the next generation of neuroscientists. To achieve that, we foster an inclusive and supportive environment, where we can learn and advance science while having fun in the process. - Our work is multi-disciplinary, and so is our team. Irrespective of your background and project, our research environment will expose you to a diverse range of experimental and computational aspects of systems and circuits neuroscience. We thus encourage everyone to apply, especially those from underrepresented minorities. - Working in our team will provide you with invaluable experience across all stages of research and you will have the opportunity to engage in experiment design and execution, method development, software design, and data analysis, as well as publishing and communicating research results. - Our team is affiliated with Inserm <https://www.inserm.fr/> and is located in the Paris Brain Institute (ICM) <https://institutducerveau-icm.org/>, where we have access to state-of-the-art facilities and resources. - Our vibrant community at the ICM and throughout Paris promotes broad collaboration and learning opportunities. If you would like to know more, visit our website: neuronaldynamics.eu and read about our team's mission and values <https://www.neuronaldynamics.eu/team/mission-values>. *How to apply* If you are eager to join our vibrant research community and contribute to groundbreaking discoveries, we warmly welcome your application. Please send a statement of your past work and future research interests, your CV, and contact information for 1-3 references to the address: contact(a)neuronaldynamics.eu -- Nikolas Karalis Neuronal Circuits & Brain Dynamics Lab <http://neuronaldynamics.eu/> - Paris Brain Institute

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OHBM 2023 Educational Course on Whole-Brain Models
by Taha Morshedzadeh 21 Jul '23

21 Jul '23

Whole-brain, Connectome-based Models of Brain Dynamics: From Principles to Applications OHBM 2023 Montréal, Canada Do you want to learn how to model the human brain as a complex network of interacting regions? Do you want to discover how network science can help you understand the brain's structure, function, and dynamics? If so, join us for this Educational Course on Whole-Brain Network Modelling: Concepts, Methods, and Applications, part of the OHBM 29th Annual Meeting. This course will introduce you to the principles and methods of whole-brain network modelling, a cutting-edge approach that combines data from structural and functional neuroimaging, systems and cognitive neuroscience, dynamical systems and network science, neurology and psychiatry, computational neuroscience, and machine learning. You will learn how to use network models to simulate the brain's activity, explore its emergent properties, and test hypotheses about its mechanisms and disorders, and to lastly build subject-specific models that could be used for personalized mental health care. In the hands-on sessions, you will also have the opportunity to model electroencephalography (EEG), magnetoencephalography (MEG), and blood oxygen level dependent (BOLD) data, in projects that are designed to address ongoing critical research questions in computational neuroscience. You will be guided through the material by the instructors and the TAs in learning and performing the modelling and analysis tasks. This course is designed for researchers who have some background in neuroimaging and computational neuroscience, but who want to extend their knowledge and skills in whole-brain network modelling. It will also be useful for anyone who is curious about this exciting and rapidly growing field. Register now and join us for this Educational Course on Whole-Brain Network Modelling: Concepts, Methods, and Applications: https://griffithslab.github.io/OHBM-whole-brain-modelling-course/ Time: Saturday, Jul 22: 8:00 AM - 5:00 PM Organizers: Davide Momi, Joana Cabral, John Griffiths Speakers: Viktor Jirsa, Joana Cabral, Sorenza Bastiaens, Michael Breakspear, James Mac Shine, Laura Suárez, Borana Dollomaja, Leon Stefanovski Venue: Room #516DE - Palais des congrès de Montréal, Montréal, Canada. 29th Organization for Human Brain Mapping Conference (OHBM) Conference. Registration: Directly through OHBM, more info at this link: ww6.aievolution.com/hbm2301/index.cfm?do=ev.viewEv&ev=1192

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Postdoc position Cluster for advanced study of collective behavior at University of Konstanz
by Ahmed Elhady 21 Jul '23

21 Jul '23

Dear Colleagues, We are seeking a PostDoc with a quantitative background who has finished (or about to finish) a doctoral degree in a quantitative field preferably but not limited to physics. The candidate should show enthusiasm for tackling theoretical foundations of behavior. The PostDoc will join our interdisciplinary and international team studying social foraging in animal groups. The researcher will be based in the integrative biophysics group at the University of Konstanz and Max Planck Institute of Animal Behavior, located in Konstanz, Germany. The integrative biophysics group led by Dr. Ahmed Elhady is focused on theoretical and computational understanding of mechanisms underlying foraging. The group has an extensive network of local and international collaborators. Through those collaborations, the PostDoc researcher will have access to a large number of data sets depicting foraging behaviors in locusts, rodents, non-human primates (marmosets) and human performing similar social foraging tasks. The PostDoc project can potentially address the following questions: 1. What are the quantitative foraging decision strategies employed by a particular animal species during social foraging? 2. How does those decision strategies compare across animal species in a quantitative evolutionary manner? 3. How did evolutionary processes quantitatively shape foraging behaviours? 4. How can one extend social foraging theory to account for different group size and different spatial environmental constraints? For a glimpse of our research work , please check this talk given by the group leader Ahmed Elhady : https://www.youtube.com/watch?v=bRNnsgka0d0 For questions about the position and / or research of the integrative biophysics group, please do not hesitate to contact me via email : ahmed.el-hady(a)uni-konstanz.de The postdoc position will be embedded within the highly collaborative environment of the cluster for advanced study of collective behavior at the University of Konstanz. The expected starting date is 01/12/2023 and deadline for application is 15/09/2023. For more information and application , please visit the website :https://stellen.uni-konstanz.de/jobposting/4418ec7f80f7b2371d7a0e963fab434a58c726cd0 All the best regards, Ahmed Dr. Ahmed Elhady Group leader Integrative biophysics group Cluster for Advanced Study of Collective Behavior Max Planck Institute of Animal Behavior Universitätsstraße 10, 78464 Konstanz Room ZT 907 Postbox 687 Tel.: +49 7531 88-4742

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Registration open: FSL Course 2023 - Sept 11th-22nd
by Rezvan Farahibozorg 20 Jul '23

20 Jul '23

Dear all, We are pleased to announce that registration is now open for FSL Course 2023, which will be held *fully online*, 11th - 22nd September 2023. You can find details and registration info here: https://open.win.ox.ac.uk/pages/fslcourse/website/ To strike a balance between broad accessibility and the benefits of in-person interaction, the FSL Course intends to follow an approximately alternating pattern of fully in-person and fully online courses. The only option to attend the course in 2023 will be this online course. Both new and existing users of FSL are welcome on the course, as it aims to cover both basic and more advanced features of FSL. The course covers the theory and practice of functional, structural, diffusion and resting state brain image analysis, with recorded lectures and live practical sessions where attendees learn how to carry out analysis for themselves on real data, with access to experienced tutors available throughout each session. To accommodate different time zones, there will be two parallel courses repeating the same content. Each session will consist of a self-paced practical, with guidance available from our expert tutors via Zoom (or equivalent), and all FSL software and course data pre-installed and ready to go on a cloud-enabled virtual desktop. All lectures will be pre-recorded and available as video podcasts, and speakers will be available for questions and discussions. You would need your own computer/laptop/tablet that can do video conferencing and host the remote desktop client, as well as a reasonable internet connection that is good enough for video conferencing. If your institute is at a low/middle income country, you will also be able to request a discount, as instructed on the registration page. We hope to see you at the course! The FSL Course team

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Computational Neuroscience Postdoc Positions
by Neymotin, Samuel (NKI) 19 Jul '23

19 Jul '23

Postdoctoral scientist positions are available at the Nathan Kline Institute (NKI) for Psychiatric Research (https://www.nki.rfmh.org<https://www.nki.rfmh.org/>) to work on computational neuroscience research funded by recently awarded NIH and DoD grants. Our NIH-funded projects investigate the brain's dynamic circuit motifs underlying internal vs. external-oriented processes in the auditory and interconnected areas, using circuit modeling of the thalamocortical system. In this project, the postdoc will build data-driven biophysical models constrained by data collected from electrophysiology labs at NKI and Columbia (Noelle O’Connell, Charlie Schroeder, Dan Javitt) & The Feinstein Institutes for Medical Research (Stephan Bickel), and then use the models to predict optimal neuromodulation strategies for inducing/suppressing circuit patterns, testable in vivo. Related projects include investigating the origin of electrophysiology patterns observed in the auditory system of animal models of schizophrenia (biomarkers including mismatch negativity and altered oscillatory patterns), and using modeling to predict their circuit-level origins and potential treatments. Recent related publications (https://www.biorxiv.org/content/10.1101/2022.02.03.479036v2.abstract , https://www.eneuro.org/content/9/4/ENEURO.0281-21.2022.abstract , https://www.sciencedirect.com/science/article/pii/S0006322319318517) Our DoD project involves developing computational models of the hippocampal and entorhinal cortex circuitry used in spatial navigation, higher level decision making circuits, and integrating the models with agents learning to solve navigation tasks using neurobiologically-inspired learning rules. This project includes mathematicians and robotics researchers at UTK and CMU. Recent related publications (https://www.frontiersin.org/articles/10.3389/fncom.2022.1017284/full , https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0265808) Applicants should have a strong background in: multiscale modeling using NEURON/NetPyNE, Python software development, neural/electrophysiology data analysis, machine learning, and writing/presenting research. To apply, email a CV and cover letter to Sam Neymotin (samnemo(a)gmail.com) The position requires presence at NKI (New York), with part telecommuting. ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation.

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CFP COMPLEX NETWORKS 2023 Menton Riviera France November 28 - 30, 2023
by Fabian Braesemann 19 Jul '23

19 Jul '23

12 th International Conference on Complex Networks & Their Applications Menton Riviera<https://www.menton-riviera-merveilles.co.uk/>, France November 28 - 30, 2023 COMPLEX NETWORKS 2023<https://complexnetworks.org/> You are cordially invited to submit your contribution until September 02, 2023. SPEAKERS ● Michael Bronstein<https://www.cs.ox.ac.uk/people/michael.bronstein/> University of Oxford UK ● Kathleen Carley<https://www.cylab.cmu.edu/directory/bios/carley-kathleen.html> Carnegie Mellon University USA ● Manlio De Domenico<https://manliodedomenico.com/> University of Padua Italy ● Danai Koutra<http://web.eecs.umich.edu/~dkoutra/> University of Michigan USA ● Romualdo Pastor-Satorras<http://www.fen.upc.edu/~romu/> Univ. Politècnica de Catalunya Spain ● Tao Zhou<https://scholar.google.com/citations?user=MXgWgmEAAAAJ&hl=en> USTC China TUTORIALS ● Tiago de Paula Peixoto<https://skewed.de/tiago> CEU Vienna Austria ● Maria Liakata<https://www.turing.ac.uk/people/researchers/maria-liakata> Queen Mary University of London UK PUBLICATION Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. ● Papers will be included in the conference proceedings edited by Springer ● Extended abstracts will be published in the Book of Abstracts (with ISBN) Extended versions will be invited for publication in special issues of international journals: o Applied Network Science<https://appliednetsci.springeropen.com/> edited by Springer o Advances in Complex Systems<https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific o Complex Systems <https://www.complex-systems.com/about/> o Entropy<https://www.mdpi.com/journal/entropy> edited by MDPI o PLOS one<https://journals.plos.org/plosone/> o Social Network Analysis and Mining<https://link.springer.com/journal/13278> edited by Springer SUBMISSION https://complexnetworks.org/submission/ TOPICS Topics include, but are not limited to: * Models of Complex Networks * Structural Network Properties and Analysis * Epidemics * Community Structure * Motifs * Network Mining * Network embedding * Machine learning with graphs * Dynamics and Evolution Patterns of Complex Networks * Link Prediction * Multilayer Networks * Controllability * Synchronization * Visual Representation * Large-scale Graph Analytics * Social Reputation, Influence, and Trust * Information Spreading in Social Media * Rumour and Viral Marketing in Social Networks * Recommendation Systems * Financial and Economic Networks * Mobility * Biological and Technological Networks * Mobile call Networks * Bioinformatics * Earth Sciences Applications * Resilience and Robustness of Complex Networks * Networks for Physical Infrastructures * Networks, Smart Cities and Smart Grids * Political networks * Supply chain networks * Complex networks and information systems * Complex networks and CPS/IoT * Graph signal processing * Cognitive Network Science * Network Medicine * Network Neuroscience * Quantifying success through network analysis * Temporal and spatial networks * Historical Networks * Graph-Based Natural Language Processing GENERAL CHAIRS Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA) --- Dr Fabian Braesemann Departmental Research Lecturer in AI & Work Oxford Internet Institute University of Oxford Publicity Co-Chair 12th International Conference on Complex Networks & Their Applications 28 - 30 November, 2023, French Riviera, France fabian.braesemann(a)oii.ox.ac.uk<mailto:fabian.braesemann@oii.ox.ac.uk> +44 7731 700 704 Google Scholar<https://scholar.google.at/citations?user=L2AXGNwAAAAJ&hl=en> | LinkedIn<https://uk.linkedin.com/in/fabian-braesemann-210645138> Oxford Internet Institute University of Oxford 1 St Giles Oxford, OX1 3JS

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1st CFP IV Latin American Workshop on Computational Neuroscience (LAWCN 2023) - Institution University of Envigado, Colombia - 28 - 30 Nov 2023
by Jaime Andres Riascos Salas 18 Jul '23

18 Jul '23

CALL FOR PAPERS Paper Submission Deadline: August 1, 2023 IV LATIN AMERICAN WORKSHOP ON COMPUTATIONAL NEUROSCIENCE (LAWCN) November 28-30, 2023 Institution University of Envigado, Envigado, Colombia. www.lawcn.co Contact: lawcn(a)iue.edu.co Overview The IV Latin-American Workshop on Computational Neuroscience (LAWCN 2023) provides an international forum to bring students, academic researchers, and professionals from diverse backgrounds to present cutting-edge research on four major topics: Computational Neuroscience, Neuroscience, Neuroengineering, and Artificial Intelligence. Since the first edition, LAWCN has contributed to revealing knowledge about the brain in an enthusiastic atmosphere for sharing ideas, creating networks, and fostering collaboration among Latin countries and the world. The current edition is organized by the research group "Grupo de Investigación Tecnologías Emergentes Sostenibles e Inteligentes GITESI" from the Engineering Faculty of the Institution University of Envigado (IUE), in collaboration with the Colegio Colombiano de Neurociencias (COLNE), the most representative association of neuroscience researchers and students in Colombia. The workshop will take place in the city of Envigado (Antioquia - Colombia) from November 28 to 30, 2023. This is the first LAWCN edition outside of Brazil, expanding its presence to Latin America, seeking for enhancing the collaboration network among the countries of our region but keeping the worldwide approach. Envigado is in the Metropolitan Area of the Aburrá Valley, close to Medellín, the second-largest city in Colombia, and the capital of the department of Antioquia. Envigado is known for maintaining the traditions of the Paisa Region and for its architecture. It also has one of the highest standards of living in Colombia. Also, Envigado was recognized recently as one of the UNESCO Global Network of Learning Cities (UNESCO GNLC). In keeping with the tradition of the previous edition of this meeting, the IV LAWCN has four main topics: A- Computational Neuroscience B- Neuroscience C- Neuroengineering D- Artificial intelligence and related topics. See the full list of topics at https://www.lawcn.co/event/submissions.html. Prospective authors are invited to contribute to the conference by electronically submitting papers in English, Portuguese, or Spanish, according to the model found on the event website. Best papers that are related to Computer Science will be published as a book volume in Springer-Verlag Communications in Computer and Information Science (CCIS; ISSN 1865-0929) series. Also, authors can submit their papers for the Special Issue "Interdisciplinary Approaches for Human Cognition: Expanding Perspectives on the Mind" to be published in the International Journal in Psychological Research (IJPR; https://revistas.usb.edu.co/index.php/IJPR/index ISSN 2011-7922). Papers will be evaluated based on the quality and significance of the theoretical and practical contributions. The Workshop will consist mainly of the following activities. * A presentation of up to 8 key researchers of international and national renown. * A round table to widely discuss gender diversity in Neuroscience. * Oral presentations of accepted papers by their authors. * Poster session. Conference chairs * Jaime A. Riascos, Institution University of Envigado(IUE), Colombia * Lina Becerra, Colegio Colombiano Neurociencias (COLNE), University del Valle, University Pontificia Javeriana, Colombia Organization * Dante Barone Federal University Rio Grande do Sul (UFRGS), Brazil * Vinicius Cota Federal University São João do Rei (UFSJ), Brazil * Marta Molinas NTNU, Norway * Edwin Moncada Institution University of Envigado, Colombia * Jonier Rendón Institution University of Envigado, Colombia * Efraín Buriticá Universidad del Valle - COLNE * Pablo Reyes Pontificia Universidad Javeriana - Colne * Hernán Villota Institution University of Envigado, Colombia * Daniel Betancourt Institution University of Envigado, Colombia * Catalina Alvarado Pontificia Universidad Javeriana * Paula Herrera Universidad Tecnológica de Pereira Keynote Speakers * Prof. PhD. Norberto García Caraisco (USP, Brazil) * Prof. PhD. Salvador Dura-Bernal (SUNY, USA) * Prof. PhD. Jose Luis Contreras-Vidal (NSF IUCRC BRAIN Center, USA) * Prof. PhD. Fabien Lotte (INRIA, Francia) * Prof. PhD. Jose M. Azorin (Universidad Miguel Hernández de Elche, Spain) * Profa. PhD. Marta Molinas (NTNU, Noruega) * Profa. PhD. Catalina Alvarado (Pontificia Universidad Javeriana, Colombia) * Profa. PhD. Paula Herrera (Universidad Tecnológica de Pereira, Colombia) Roundtable * Lina Becerra, Colegio Colombiano Neurociencias (COLNE), University del Valle, University Pontificia Javeriana, Colombia Important dates. Paper submission deadline: August 1st, 2023 Notification of acceptance (paper): September 30, 2023 Camera-ready (paper): October 31, 2023, Abstract submission deadline: September 1st, 2023 Notification of acceptance (abstract): September 30, 2023 Camera-ready (abstract): October 31, 2023. Workshop: November 28-30, 2023 (IUE, Envigado, Colombia) More Information: www.lawcn.co Best regards and see you in Envigado, Colombia!!! -- Jaime A. Riascos Salas Assistant professor - IUE

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Ph.D. position in Theoretical and Applied Neuroscience - Deadline 4th of August.
by Russo, Eleonora 17 Jul '23

17 Jul '23

One Ph.D. position available within the National Ph.D. Program in “Theoretical and Applied Neuroscience”. The Ph.D. will be held in the Brain Dynamics Lab<https://www.santannapisa.it/en/institute/biorobotics/brain-dynamics-laborat…> at the Biorobotics<https://www.santannapisa.it/en/institute/biorobotics> Institute of Sant'Anna School of Advanced Studies, Pisa (Italy). Information about the call can be found here<https://www.unicam.it/bandi/2023/bando-47966-del-5-luglio-2023>. The deadline for applying to the position is the 4th of August. The project description can be found here<https://www.unicam.it/sites/default/files/bandi/2023/07/All1-Topic%20list_P…> under ‘Code 4.5’. Project title: Functional modeling of brain dynamics: investigation of cognitive functions through the lens of dynamical systems. Keywords: neural coding, neuronal manifolds, modeling, dynamical system reconstruction, RNN, statistical mechanics Host Institution: Sant'Anna School of Advanced Studies, BioRobotics Institute Reference person/supervisor: Russo Eleonora; eleonora.russo(a)santannapisa.it Research topic description: Understanding the dynamical system governing neuronal activity is crucial for unraveling how the brain performs cognitive functions. Historically, various forms of recurrent neural networks (RNNs) have been suggested as simplified models of the cortex. Recently, owing to remarkable advancements in the field of machine learning, RNNs' inherent ability to capture temporal dependencies has been leveraged to develop tools for approximating unknown dynamical systems directly by training on observed time-series data. Concurrently, improvements in electrophysiological recording techniques have enabled the simultaneous recording of hundreds of neurons in animals performing complex behavioral tasks. These parallel developments present a unique opportunity to characterize comprehensively population dynamics and parametrize the neuronal manifold, thereby constructing functional models of cognitive functions. The objective of this research project is to further refine RNN-based algorithms, tailoring them to investigate neuronal dynamics, and applying them to experimental data. Research team and environment The Ph.D. student will carry out his/her studies at the BioRobotics Institute of Sant'Anna School of Advanced Studies. The project will expose the student to a highly interdisciplinary context, in tight collaboration with theoretical and experimental neuroscientists. At the BioRobotics Institute, the research groups involved will be the Brain Dynamics Lab, the Computational Neuroengineering Lab, and the Bioelectronics and Bioengineering Area. During the second year of the Ph.D., the student might be able to spend a period abroad. Preferred Research Skills and Competences The ideal candidate has computational and programming skills (ideally, knowledge of Matlab and/or Python), a strong interest in neuroscience, and a background in physics/math/biomedical engineering. The ideal candidate must also be able to carry out his/her work in a diligent, independent, and highly collaborative manner. Best wishes, Eleonora --------------------------------------------------------------------------------------------------------------------- Eleonora Russo, Ph.D. Assistant Professor at Sant’Anna School of Advanced Studies, The BioRobotics Institute, P.za Martiri della Liberta', 33 56127 Pisa, Italy

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Multiple PhD positions in Cognitive Neuroscience at SISSA - application deadline 28 August
by Alessandro Treves 17 Jul '23

17 Jul '23

Up to 5 PhD positions in Cognitive Neuroscience are available at SISSA, Trieste, starting October 2023. SISSA is an elite postgraduate research institution for Maths, Physics and Neuroscience, located in Trieste, Italy. SISSA operates in English, and its faculty and student community is diverse and strongly international. The Cognitive Neuroscience Department (https://phdcns.sissa.it/) hosts 7 research labs that study the neuronal bases of time and magnitude processing, visual perception, motivation and intelligence, language and reading, tactile perception and learning, and neural computation. The Department is highly interdisciplinary; our approaches include behavioural, psychophysics, and neurophysiological experiments with humans and animals, as well as computational, statistical and mathematical models. Students from a broad range of backgrounds (physics, maths, medicine, psychology, biology) are encouraged to apply. The selection procedure is now open. The application deadline is 28 August 2023. To learn how to apply, please visit https://phdcns.sissa.it/admission-procedure . Please contact the PhD Coordinator Mathew Diamond (diamond(a)sissa.it) and/or your prospective supervisor for more information and informal inquiries. Best wishes, Eugenio Piasini -- Eugenio Piasini International School for Advanced Studies (SISSA) Via Bonomea 265, 34136 Trieste - Italy https://people.sissa.it/~epiasini

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Hybrid Workshop "Cortical Prostheses - Interdisciplinary Research Towards Artificial Vision for the Blind" (September 19-22, 2023)
by David Rotermund 14 Jul '23

14 Jul '23

We would like to invite you to participate in our excellence workshop *‘Cortical Prostheses – Interdisciplinary Research Towards Artificial Vision for the Blind’*. It will take place *September 19-22, 2023 at the Hanse-Wissenschaftskolleg in Delmenhorst (near Bremen, Germany)*. As you might know quite well from your own experience, it is a huge problem to interface with the brain and to successfully introduce artificial, meaningful signals into on-going neural information processing. On the other hand, exciting possibilities in medical and fundamental research are waiting to be explored and to be realized. In particular, it becomes more and more obvious that making communication with the brain more efficient requires a much more profound understanding about 'normal' visual information processing in healthy subjects. This workshop will address major topics and challenges in this field: ** Advances in neurotechnology** *** Advances in the understanding of visual information processing** *** Novel methods for combining theory and technology* Our workshop will bring together experimentalists, technologists, medical scientists, and theoreticians who are the experts in getting meaningful signals into neuronal circuits actively engaged in information processing. Speakers include *Diego Ghezzi, Pieter Roelfsema, Eduardo Fernandez Jover, Bogdan Raducanu, Arto V. Nurmikko, Umut Guclu, Christopher Pack, Michael Herzog, Avi Caspi, Shelley I. Fried, Udo Ernst, Fabian Sinz, Carlos Ponce, Theo Doll, Ione Fine, Daniel Yoshor, Michael Beyeler, Björn Lüssem, Schander Andreas, Michael Schmid, and Dirk Jancke.** *** There are two options for attending the workshop: *a.) On-site at the Hanse-Wissenschaftskolleg in Delmenhorst (limited number of available slots)*, allowing for in-depth discussions and presentation of your own work in a poster session. The registration fee is 100 Euros and covers participation and catering during the workshop. The deadline for registering for on-site participation is the Sunday, July 23rd. The registration is a two step process: You inform us that you are interested in registering via the webform on https://www.uni-bremen.de/i-see/hwk-workshop or via an email to ajanssen(a)neuro.uni-bremen.de. You will then be contacted by the HWK for finalizing the registration process. b.) *Via Zoom at no cost*. You also need to register via the webform on https://www.uni-bremen.de/i-see/hwk-workshop, and we will send you your access code shortly before the start of the workshop. For more details and information how register please visit: https://www.uni-bremen.de/i-see/hwk-workshop Please feel free to forward the following information to anyone in or outside of your group who you think may be interested in attending our workshop. -- *Dr. David Rotermund* *University of Bremen* Institute for Theoretical Physics Faculty 01 Physics/Electrical Engineering Hochschulring 18, D-28359 Bremen Cognium, room 2450 Tel. +49 421 218-62003 Fax +49 421 218-62014 davrot(a)neuro.uni-bremen.de www.neuro.uni-bremen.de <https://www.neuro.uni-bremen.de> www.isee.uni-bremen.de <https://www.isee.uni-bremen.de>

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Professorship (W3) for “Computational Cognitive Science” at Technical University of Darmstadt, Center for Artificial Intelligence & Centre for Cognitive Science
by Constantin Rothkopf 14 Jul '23

14 Jul '23

The Department of Human Sciences at the Technical University of Darmstadt invites applications for the position of a Professorship (W3) for “Computational Cognitive Science” starting as soon as possible. The position holder will be a member of the Hessian Center for Artificial Intelligence - hessian.AI ( https://hessian.ai/) and provides research at the Center and will also be a member of the Centre for Cognitive Science ( https://www.cogsci.tu-darmstadt.de/) We are looking for an outstanding scientist who will represent the topic area of Computational Cognitive Science in research and teaching. The scientific focus of the position is on the computational and algorithmic modeling of behavioral data to understand the human mind. Exemplary research topics include, but are not limited to: + computational level models of perception, cognition, decision making, action, and learning as well as extended behavior and social interactions in humans, + algorithmic models that are able to simulate, predict, and explain human behavior, + model-driven behavioral research on human cognition. Successful candidates should demonstrate an outstanding scientific profile, with high-impact research contributions in the area of computational modeling of human behavior. A research profile that is able to interact with current developments in machine learning and artificial intelligence is desired. Candidates are expected to teach these topics in our undergraduate as well as graduate-level programs in Cognitive Science. Furthermore, a proven track record of successful collaboration in international research teams, with industry, or across research disciplines is a plus. The professorship is expected to strengthen the Hessian Center for Artificial Intelligence and TU Darmstadt’s Human Science department’s research focus on Cognitive Science, which belongs to one of the three distinguished research fields of Technical University of Darmstadt (Information + Intelligence). The current faculty at both the Hessian Center for Artificial Intelligence and the Centre for Cognitive Science maintain numerous vibrant collaborations and are jointly involved in several cluster projects, including “The third Wave of AI” and “The Adaptive Mind”. Depending on the candidate’s profile there is the opportunity to participate in joint research projects currently running at TU Darmstadt. This in particular includes the state funded cluster projects “The Adaptive Mind (TAM)” ( https://www.theadaptivemind.de/) and “The Third Wave of Artificial Intelligence (3AI)” ( https://hessian.ai/projects/3ai-the-third-wave-of-ai/) In addition to excellent scientific credentials, we seek a strong commitment to teaching in the department’s Bachelor and Masters programs in Cognitive Science. Experience in attracting third-party funding as well as participation in academic governance is expected. Technical University of Darmstadt is an autonomous university with broad excellence in research, an interdisciplinary profile, and clear focus areas in engineering sciences and information and communication technology. The professorship is a full professorship on a permanent basis. A prerequisite for applying is that additional academic achievements must be present; in general, the doctorate should be more than three years old at the time of application. The position will be remunerated in line with the German “W-Besoldung” and subject to negotiations between the applicant and the university management in accordance with his/her experience and qualifications. The regulations for employment are specified under §§ 67 and 68 HessHG (Hessisches Hochschulgesetz). Technical University of Darmstadt intends to increase the number of female employees and encourages female candidates to apply. In case of equal qualifications, applicants with a degree of disability of at least 50 or equal will be given preference. Technical University of Darmstadt is certified as a family-friendly university and offers a dual career program. Please submit applications with the usual attachments (CV including research and teaching achievements, list of publications, scans/copies of diplomas) as well as a research and teaching statement, quoting the code number 380, to the Chair of the Department of Human Sciences, Prof. Dr. Josef Wiemeyer (dekanat(a)humanw.tu-darmstadt.de) For further information or questions please contact Prof. Constantin Rothkopf, PhD, email constantin.rothkopf(a)tu-darmstadt.de. By submitting your application, you agree that your data may be stored and processed for the purpose of filling the vacancy. You can find our privacy policy on our webpage. Application deadline: October 1st, 2023.

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CARLsim 6.1 Spiking Neural Network Simulator Release Introduces Axonal Plasticity
by Jeffrey L Krichmar 14 Jul '23

14 Jul '23

Dear Colleagues, We are pleased to announce the 6.1 release of CARLsim. CARLsim is an efficient, easy-to-use, GPU-accelerated library for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail. CARLsim allows execution of networks of Izhikevich spiking neurons with realistic synaptic dynamics on both generic x86 CPUs and standard off-the-shelf GPUs. The simulator provides a PyNN-like programming interface in C/C++, which allows for details and parameters to be specified at the synapse, neuron, and network level. CARLsim, which is in its 6th major iteration, is open-source and publicly available. With the release of CARLsim 6.1, we introduce axonal plasticity to simulate the biological phenomenon of experience dependent plasticity to the conductance velocity of axonal signaling. Axonal plasticity appears to be important for synchronization, skill learning, and many other potential applications. More information about the implementation and an example application can be found in our recent IJCNN paper, "Experience-Dependent Axonal Plasticity in Large-Scale Spiking Neural Network Simulations", which can be found at: https://www.socsci.uci.edu/~jkrichma/CARLsim61-IJCNN2023.pdf CARLsim 6.1 is available on GitHub: https://github.com/UCI-CARL/CARLsim6 Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma https://www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-…

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Call for Applications: Join the PLOS Complex Systems Editorial Board
by Hocine Cherifi 13 Jul '23

13 Jul '23

View this email in your browser <https://view.e.plos.org/?qs=6649e38711d4711c96cd7e869e54766a9daa683b66a5c2a…> [image: PLOS Complex Systems] <https://click.e.plos.org/?qs=579dc46496e4bc9e96d4e5d02cfb8efd0a166171d7b75d…> *Introducing our new journal **PLOS Complex Systems* *Learn more <https://click.e.plos.org/?qs=e2b3e6764225066938b02c620482dfff92f76aa0ce26be…>* *PLOS Complex Systems* will publish research of broad significance that untangles the complex systems at the heart of the world we live in. Open Science options at every stage of research communication facilitate new connections that inspire ideas and accelerate progress across disciplines while cross-fertilizing knowledge that enable solutions to fundamental challenges facing our society today. *Explore now* <https://click.e.plos.org/?qs=e2b3e6764225066938b02c620482dfff92f76aa0ce26be…> *Interested in joining the PLOS Complex Systems Editorial Board?* Are you a researcher who believes in breaking boundaries to advance science communication? That research should be open, transparent and fair? If so, you might be a fit for our Editorial Board. *Find out more <https://click.e.plos.org/?qs=e2b3e6764225066957c8972275e7a4bc811c051fda1c66…>* *Meet the Editor-in-Chief* [image: Hocine Cherifi] *Hocine Cherifi* Hocine Cherifi is a distinguished Full Professor of Computer Science at the University of Burgundy in Dijon, France. His primary research interests lie in the fields of Computer Vision Data Science and Complex Networks, and he has made significant contributions to his areas of expertise: as an author of over 250 scientific papers and conference proceedings, assuming leadership roles in more than 20 international conference organizations, and having served on over 100 program committees. *0000-0001-9124-4921* <https://click.e.plos.org/?qs=e2b3e67642250669054c3c2f989934906bf6ecbd83a2a3…> *Stay up-to-date* *Receive regular PLOS Complex Systems news and updates by signing up to our email list.* *Get updates <https://click.e.plos.org/?qs=e2b3e67642250669178bc3cc94ee091d549c4486538890…>*

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Deadline approaching - Bernstein Conference 2023 in Berlin
by Alexander Lammers 13 Jul '23

13 Jul '23

***Deadline approaching - Bernstein Conference 2023 in Berlin*** ___ The Bernstein Conference Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries. www.bernstein-conference.de<http://www.bernstein-conference.de> ___ Important Dates * Abstract submission for posters: July 19, 2023, 15:00 CEST * Travel grant applications: July 19, 2023 * Early registration: July 19, 2023 * Bernstein Conference: September 26 - 29, 2023 ___ Registration Registration for the Bernstein Conference is open now. Register until July 19, 2023, and profit from reduced conference fees. All information: https://bernstein-network.de/bernstein-conference/registration/ ___ Abstract Submission We invite the computational neuroscience community to submit their abstracts. The abstract submission for posters is open until July 19, 2023, 15:00 CEST. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Abstract submission: https://bernstein-network.de/bernstein-conference/abstract-submission/ ___ Travel Grants Students, PhD candidates, and postdocs can apply for travel grants. Travel grant application: https://bernstein-network.de/bernstein-conference/early-career-scientists/t… ___ Invited Speaker Opening Lecture Marlene Cohen (University of Chicago, USA) Invited Talks Tiago Branco (Sainsbury Wellcome Center, UK) Stefano Fusi (Columbia University, USA) Ann Kennedy (Northwestern University, USA) Julija Krupic (University of Cambridge, UK) Wiktor Mlynarski (LMU Munich, Germany / Institute of Science and Technology, Austria) Adrien Peyrache (McGill University, Canada) Kanaka Rajan (Icahn School of Medicine at Mount Sinai, USA) Christopher Summerfield (University of Oxford and Deepmind, UK) Julia Veit (Albert-Ludwigs-Univesität Freiburg, Germany) ___ Conference Committee Robert Gütig (Conference Chair) Tatjana Tchumatchenko (Program Chair) Srdjan Ostojic (Program Vice Chair) Anna Levina (Workshop Chair) Maria Eckstein (Workshop Vice Chair) & Athena Akrami, Ann Hermundstad, Mehrdad Jazayeri, Christian Leibold, Ashok Litwin-Kumar, Ida Momennejad, Nicole Rust, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ___ Contact For any further questions, please contact: bernstein.conference(a)fz-juelich.de<mailto:bernstein.conference@fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens, Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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CFP FRCCS 2024 Montpellier, France May 29 – 31, 2024
by Hocine Cherifi 12 Jul '23

12 Jul '23

Fourth* F*rench* R*egional* C*onference on* C*omplex* S*ystems May 29 – 31, 2024 Montpellier, France *FRCCS 2024* <https://iutdijon.u-bourgogne.fr/ccs-france/> After successfully hosting the conference in Dijon in 2021, Paris in 2022, and Le Havre in 2023, the fourth edition of the French Regional Conference on Complex Systems (FRCCS 2024) will be held in Montpellier, France. This international conference organized by CSS France <https://www.cssfrance.org/> serves as a platform to foster interdisciplinary exchanges among researchers from various scientific disciplines and diverse backgrounds, including sociology, economics, history, management, archaeology, geography, linguistics, statistics, mathematics, and computer science. FRCCS 2024 provides a valuable opportunity for participants to meet in France, exchange and promote ideas, facilitating the cross-fertilization of recent research work, industrial advancements, and original applications. Moreover, the conference emphasizes research topics with a high societal impact, showcasing the significance of complexity science in addressing complex societal challenges. Join us in Montpellier as we collectively strive to better understand complexity and its implications for society. You are cordially invited to submit your contribution until *February 21, 2024.* Finalized work (published or unpublished) and work in progress are welcome. Two types of contributions are accepted: · *Papers* about *original research* (up to 12 pages) · *Extended Abstract* about published or unpublished research (3 to 4 pages). *Publication* o Contributions will be included in the conference proceedings (With ISBN) o *Selected submissions of unpublished work will be invited for publication in special issues (fast track procedure) **of the journals:* o Applied Network Science, <https://appliednetsci.springeropen.com/> edited by Springer o Complexity, <https://www.hindawi.com/journals/complexity/?utm_source=google&utm_medium=c…> edited by Hindawi *Topics include, but are not limited to: * · *Foundations of complex systems * - Self-organization, non-linear dynamics, statistical physics, mathematical modeling and simulation, conceptual frameworks, ways of thinking, methodologies and methods, philosophy of complexity, knowledge systems, Complexity and information, Dynamics and self-organization, structure and dynamics at several scales, self-similarity, fractals - *Complex Networks * - Structure & Dynamics, Multilayer and Multiplex Networks, Adaptive Networks, Temporal Networks, Centrality, Patterns, Cliques, Communities, Epidemics, Rumors, Control, Synchronization, Reputation, Influence, Viral Marketing, Link Prediction, Network Visualization, Network Digging, Network Embedding & Learning. - *Neuroscience, **Linguistics* - Evolution of language, social consensus, artificial intelligence, cognitive processes & education, Narrative complexity - *Economics & Finance* - Game Theory, Stock Markets and Crises, Financial Systems, Risk Management, Globalization, Economics and Markets, Blockchain, Bitcoins, Markets and Employment - *Infrastructure, planning, and environment * - critical infrastructure, urban planning, mobility, transport and energy, smart cities, urban development, urban sciences - *Biological and (bio)medical complexity * - biological networks, systems biology, evolution, natural sciences, medicine and physiology, dynamics of biological coordination, aging - *Social complexity* o social networks, computational social sciences, socio-ecological systems, social groups, processes of change, social evolution, self-organization and democracy, socio-technical systems, collective intelligence, corporate and social structures and dynamics, organizational behavior and management, military and defense systems, social unrest, political networks, interactions between human and natural systems, diffusion/circulation of knowledge, diffusion of innovation - *Socio-Ecological Systems* - Global environmental change, green growth, sustainability & resilience, and culture - *Organisms and populations * - Population biology, collective behavior of animals, ecosystems, ecology, ecological networks, microbiome, speciation, evolution - *Engineering systems and systems of systems* - bioengineering, modified and hybrid biological organisms, multi-agent systems, artificial life, artificial intelligence, robots, communication networks, Internet, traffic systems, distributed control, resilience, artificial resilient systems, complex systems engineering, biologically inspired engineering, synthetic biology - *Complexity in physics and chemistry* - quantum computing, quantum synchronization, quantum chaos, random matrix theory) *GENERAL CHAIRS* Roberto Interdonato CIRAD, UMR TETIS, Montpellier Bruno Pinaud LABRI University of Bordeaux

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CNS 2023 Workshop on Low-dimensional manifolds of neural dynamics
by Richard Gast 12 Jul '23

12 Jul '23

Dear members of the computational neuroscience community, If you are attending CNS 2023 this year and are interested in recent experimental and computational results on the relationship between behavior, neural computations, and low-dimensional neural dynamics, consider joining our workshop on "*Low-dimensional manifolds of neural dynamics and their role in brain function*" at the last day of the conference! Our line-up: - Juan Alvaro Gallego - Lea Duncker - Brian DePasquale - Bill Podlaski - Adrian Valente - Ann Kennedy More information can be found here: https://cns2023.sched.com/event/1Kd7M/w13-low-dimensional-manifolds-of-neur… We are looking forward to seeing you in Leipzig, Richard Gast and Helmut Schmidt -- *Richard Gast, PhD* Research associate at the Laboratory for Theoretical Neuroscience and Behavior Morton 5-630 Department of Neuroscience Feinberg School of Medicine Northwestern University phone: +18728026786 mail: richard.gast(a)northwestern.edu twitter: @rich_gast website: www.richardgast.me

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CNS 2023 Tutorial on Dynamical Systems Methods in Neuroscience
by Richard Gast 12 Jul '23

12 Jul '23

Dear members of the computational neuroscience community, I would like to draw your attention to a tutorial that Hil G.E. Meijer, Bastian Pietras, and I will offer at the first day of CNS 2023: "T09 - Applied Dynamical Systems Methods in Neuroscience''. In this tutorial, we will explain basic dynamical systems concepts and analysis methods at the example of single neurons, neural networks, and mean-field equations of neural networks. The main goals of the tutorial are (i) to provide the audience with an intuition of how neural systems can be studied via mathematical models and dynamical systems concepts, (ii) to explain how we can analyze parameter dependencies of these mathematical models via parameter continuation and bifurcation analysis, and (iii) to provide numerical recipes, and software solutions to carry out these analysis methods. For more details on the tutorial, have a look at our website: https://cns2023.sched.com/event/cbd810bd0ffd6a59869a5f89fbf17b58 If you are planning to participate in the hands-on sessions, I advise you to follow the preparation instructions on that website! See you in Leipzig, -- *Richard Gast, PhD* Research associate at the Laboratory for Theoretical Neuroscience and Behavior Morton 5-630 Department of Neuroscience Feinberg School of Medicine Northwestern University phone: +18728026786 mail: richard.gast(a)northwestern.edu twitter: @rich_gast website: www.richardgast.me

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CNS*2023 Tutorial: "Modeling astrocytes and neuron-astrocyte interactions"
by Giulio Bonifazi 12 Jul '23

12 Jul '23

Dear Colleagues, We are delighted to announce a full-day tutorial session on “Modeling astrocytes and neuron-astrocyte interactions" at the upcoming CNS*2023 meeting in Leipzig, Germany. This tutorial will cover a range of topics related to astrocyte modelling including calcium signaling, volume control, synaptic activity, and network-level interactions with neurons. Here are the details of our tutorial session: Title: "Modeling astrocytes and neuron-astrocyte interactions”. Date: Saturday, July 15th. Location: Schumann Room (Kongresshalle am Zoo). For more information about the speakers, sessions, and the exact schedule, please visit our tutorial website at https://sites.google.com/view/astrotutorial. If you plan to attend, please remember to select our tutorial from the virtual program guide on Sched at https://sched.co/1Kd3X (Tutorial session T04). Thank you for your attention, and we hope to see you in Leipzig! Best regards, Giulio Bonifazi Ph.D. Student University of the Basque Country (UPV/EHU) gbonifazi001(a)ikasle.ehu.eus <mailto:gbonifazi001@ikasle.ehu.eus>

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2023 SPARC FAIR Codeathon: apply and choose a project!
by Elisabetta Iavarone 12 Jul '23

12 Jul '23

Dear all, The Common Fund SPARC program, has an upcoming Codeathon that may be of interest for the comp-neuro community. The third annual virtual SPARC Codeathon will take place from *August 5-7*. This global prize competition is currently recruiting participants to make SPARC data and resources <https://sparc.science/> more Findable, Interoperable, Accessible, and Reusable (FAIR). Any interested participant can join projects spanning data visualization, simulation tool development, python workflow creation, and more to compete for $50,000 in prizes. Follow this link to learn more and sign up today! https://bit.ly/Codeathon-SPARC Elisabetta Iavarone, On behalf of the SPARC FAIR Codeathon team

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Applications open: 2023 SPARC FAIR Codeathon
by INCF 12 Jul '23

12 Jul '23

2023 SPARC FAIR Codeathon When: 05/08/2023 to 07/08/2023 Where: Virtual Join the third global SPARC “FAIR” Codeathon <https://sparc.science/news-and-events/events/2023sparc-codeathon>, a three-day virtual event this August 5th-7th! The SPARC Data and Resource Center, with funding from the National Institutes of Health, will host a 3-day in-the-cloud Codeathon. It is free to enter and has a total prize pool of US$50,000 (including cash prizes and manuscript publication fees). Competitors from the United States and abroad are eligible. We encourage researchers and data scientists at any stage of their scientific journey to apply. Before the event we will create up to 30 teams of five to six individuals, each with various backgrounds and expertise, led by an experienced leader. The teams will greatly benefit from anyone with the following skills: - Understanding of neuroscience and/or neurostimulation - Data visualization - Data mining, image and text analysis - Working knowledge of scripting languages (eg., Shell, Python, R) - Familiarity with methods of manipulating and/or analyzing large datasets ( AI/ML, computational modeling, etc.) - Developing bioinformatics code, pipelines or tools - Knowledge graphs - Web development Applications are due 20/07/2023. More info here <https://sparc.science/news-and-events/events/2023sparc-codeathon>. Questions? Contact fair-codeathon-support(a)sparc.science What is SPARC? The Stimulating Peripheral Activity to Relieve Conditions (SPARC) <https://commonfund.nih.gov/sparc> program is supported by the NIH Common Fund <https://commonfund.nih.gov/> to provide a scientific and technological foundation for future bioelectronic medicine devices and protocols. The goal of the SPARC program is to identify neural targets and accelerate the development of therapeutic devices that modulate electrical activity in the vagus and other nerves to help treat diseases and conditions, such as hypertension and gastrointestinal disorders, by precisely adjusting organ function.

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Postdoc position in Computational Neuroimaging of the Cerebellum (Western University, Canada)
by Jorn Diedrichsen 12 Jul '23

12 Jul '23

The Diedrichsen Lab<http://www.diedrichsenlab.org/> is looking to recruit a new postdoctoral associate with interest in studying the human cerebellum. The successful candidate will join an inter-disciplinary research group that uses behavioral, neuroimaging, and computational approaches to investigate the role of the cerebellum in motor control, cognition, and language<https://www.diedrichsenlab.org/res_cerebellarfunction.htm>. Our approach is to use Big Data and Machine Learning to gain insight about the overall functional organization of the cerebellum, which then informs targeted imaging and behavioural experiments. The enthusiastic and supportive environment will enable the candidate to develop their own research program. The lab is located in the Western Institute of Neuroscience in London, Ontario, Canada, and is part of the Sensorymotor Superlab<https://superlab.ca/about/> and the Computational Brain Sciences group<https://www.uwo.ca/bmi/cbs/> at Western. Systems and cognitive neuroscience is a key area of research strength at Western University, with more than 70 Principal Investigators and 200 trainees. High-resolution imaging at 9.5T, 7T, and 3T is available in-house. Full application details can be found here<http://www.diedrichsenlab.org/open_postdoc_cerebellum.htm>. Candidates are encourage to contact us early to arrange a meeting to discuss possible research projects. The deadline for applications is September 4th, 2023. Jörn Diedrichsen Western Research Chair Brain Mind Institute Department of Computer Science Department of Statistical and Actuarial Sciences Email: jdiedric(a)uwo.ca<mailto:jdiedric@uwo.ca> Tel: 1-519-661-2111 x86994

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CALL-FOR-REGISTRATION CNS*2023 Workshop W11: "Multiscale Personalized Brain Network Modeling: Towards Clinical Applications"
by Julie Courtiol 11 Jul '23

11 Jul '23

[image: ‎‎‎‎‎CNS*2023_Workshop_banner_EBRAINS.png] Dear comp-neuro community, Only a few days left before the highly anticipated *CNS*2023 conference* in Leipzig, Germany. Have you made up your mind about which workshop to attend? We have one in particular that we believe will ignite your curiosity and expand your horizons. Introducing our captivating workshop:* "Multiscale Personalized Brain Network Modeling: Towards Clinical Applications."* This workshop delves into the fascinating world of personalized brain network modeling and its potential applications in clinical contexts. Join us as we explore the interdisciplinary aspects of computational and clinical neuroscience, digital infrastructure, reproducible research, and ethical considerations surrounding human digital twins. We have carefully curated a program filled with insightful presentations and engaging discussions led by experts in the field. It's an incredible opportunity to gain valuable knowledge and connect with like-minded individuals who are passionate about advancing computational neuroscience. *Date: Wednesday, July 19* *Time: Full day* (check the conference program for specific session timings) To learn more about our workshop, please visit our workshop webpage: https://www.brainsimulation.org/bsw/zwei/events/single/12404-32nd-annual-co… If you are interested in attending this workshop, please indicate your interest by ticking the box on this page: https://sched.co/1Kd7G To register for the CNS*2023 event as a whole, please visit the official registration page here: *https://ocns.memberclicks.net/cns-2023 Don't miss out on this unique opportunity to expand your understanding of personalized brain network modeling. Register now for CNS*2023 and secure your spot in our workshop. Space is limited, so make sure to reserve your place as soon as possible. Indicate your interest in attending our workshop by ticking the box on this page: https://sched.co/1Kd7G We look forward to welcoming you and exploring the frontiers of computational neuroscience together at CNS*2023. ---Best regards, *Dr. Julie Courtiol* Scientific Manager, Brain Simulation Section [image: 1644242313315] Charité - Universitätsmedizin Berlin Berlin Institut of Health Brain Simulation Robert-Kosh-Platz 4 Charitéplatz 1 | 10117 Berlin | Germany julie.courtiol(a)bih-charite.de - www.brainsimulation.org Twitter: @Courtioljulie <https://twitter.com/CourtiolJulie> LinkedIn: juliecourtiol <https://www.linkedin.com/in/juliecourtiol/>

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IMBIZO APPLICATION DEADLINE IS JULY 18TH
by Tim Vogels 11 Jul '23

11 Jul '23

Dear colleagues and friends, Given that SONA (the SfN / FENS conference equivalent in Africa is starting today) and that we have a bit of representation there, we have decided to extend the DEADLINE for the next IMBIZO by one week. Apply now to join us at the most diverse neuroscience summer school at the most beautiful beach in the world! If you know anyone who would benefit from an extraordinary computational neuroscience summer school, please distribute this information to them. All the best, Tim Vogels IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO #Imbizo2024 7 January - 28 January 2024, Noordhoek Beach, Cape Town, South Africa http://imbizo.africa/ Application deadline: 18th July 2023 The #Imbizo2024 is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together international and local students under the tutelage of the world's leading experts in the field. Like its international sister courses, this four-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of computational neuroscience, including experimental underpinnings and machine learning analogues. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modelling of neurons, neural systems, behaviour, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. It also includes a week focused on neuroscience-inspired machine learning! Who should apply? This course is aimed at Masters and early-PhD level students though Honours or advanced undergraduates may also apply. Postdoctoral students who can motivate why the course would benefit them are also encouraged to apply, Students should have sufficient quantitative skills, (e.g. a background in mathematics, physics, computer science, statistics, engineering or related field). Some knowledge of neural biology will be useful but not essential. Experimental neuroscience students are encouraged to apply, but should ensure that they have a reasonable level of quantitative proficiency (i.e. at least second-year level mathematics or statistics and have done at least one course in computer programming). Essential details * Fee (which covers tuition, lodging, and meals): 1350 EUR Thanks to our generous sponsors, significant financial assistance is available to reduce and waiver fees for students, particularly for African applicants. We also hope to provide some travel bursaries for international students. If you are in need of financial assistance to attend the Imbizo, please state so clearly in the relevant section of your application. The Imbizo is planned to be hosted in person, with everyone following our COVID policy <https://imbizo.africa/covid-policy/>. If it is unsafe to hold the summer school, we will follow up with further information at the appropriate time. * Application deadline: 18th July 2023 * References submitted: 24th July 2023 * Notification of results: August 2023 Information and application https://imbizo.africa/ Questions? isicn.imbizo(a)gmail.com <mailto:isicn.imbizo@gmail.com> What is an Imbizo? \ɪmˈbiːzɒ\ | Xhosa - Zulu A gathering of the people to share knowledge. Past and future faculty: Adrienne Fairhall - Washington University Alex Pouget - University of Geneva Anne-Marie Oswald - University of Pittsburgh Annik Carson - AI Redefined Arif Hamid - University of Minnesota Medical School Aza Allsop - Yale University Bard Ermentrout - University of Pittsburgh Bianca Jones Marlin - Columbia University Blake Richards - McGill University Brent Doiron - University of Chicago Cengiz Pehlevan - Harvard University Christopher Currin - Institute of Science and Technology Austria & IndabaX South Africa Daniela Vallentin - Max Planck Institute for Biological Intelligence David Sussillo - Google Demba Ba - Harvard University Dongyan Lin - MILA Evan Schaffer - Columbia University Franck Kalume - University of Washington Grace Lindsay - New York University Guillaume Lajoie - University of Montreal & MILA Henning Sprekeler - Technical University of Berlin Ilenna Jones - Harvard University Joseph Raimondo - University of Cape Town Mackenzie Mathis - EPFL Lausanne Marjorie Xie - Columbia University Mohamed Abdelhack - Krembil Centre for Neuroinformatics Nina Kudryashova- University of Edinburgh Peter Latham - University College London Rachael Dangarembizi - University of Cape Town Roy Eyono - MILA Spiros Chavlis - IMBB-FORTH SueYeon Chung - New York University Thomas Tagoe - University of Ghana Tim Vogels - Institute of Science and Technology Austria Timothy Lillicrap - DeepMind Xaq Pitkow - Baylor College of Medicine ORGANISERS Demba Ba (Harvard University) Christopher Currin (Institute of Science and Technology Austria & IndabaX South Africa <https://indabax.co.za/>) Peter Latham (Gatsby Unit for Computational Neuroscience) Joseph Raimondo (University of Cape Town) Emma Vaughan (Imbizo Logistics) Tim Vogels (Institute of Science and Technology Austria) Sponsors The Imbizo is made possible by the generous support from the Simons Foundation <https://www.simonsfoundation.org/>, the International Brain Research Organisation (IBRO) <https://ibro.org/> as well as the Wellcome Trust, Google Deep Mind, Meta and others. Organizational Affiliates University of Cape Town, University College London, Institute of Science and Technology Austria, Harvard University, TReND in Africa <http://trendinafrica.org/>, Neuroscience Institute <http://www.neuroscience.uct.ac.za/>, Gatsby Foundation <http://www.gatsby.org.uk/>, IBRO African Center for Advanced Training in Neurosciences at UCT

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GDR Neuralnet announcement
by Pierre-Pascal LENCK-SANTINI 11 Jul '23

11 Jul '23

Hello, could you share this message to the community please? Best regards PP Lenck-Santini Dear Colleagues, we have the pleasure to invite you to our annual GDR neuralnet that will take place in Marseille, Campus du Pharo. https://neuralnet2023.sciencesconf.org/ The GDR Neuralnet is a group of French research teams that gather to discuss about how collective neuronal activity underpins the functioning of the nervous system. These labs study a range of biological and artificial neural networks using population recording techniques, analytic approaches, and computational modelling. The goal of the GDR NeuralNet annual meeting, on its 12th edition this year, is to develop and promote synergies between researchers, engineers, and other stakeholders engaged in measuring, manipulating, analyzing and interpreting neuronal activity. Venue The conference will take place on October 11-13, 2023 at the Campus Pharo of Aix-Marseille Université, in the beautiful gardens overlooking Marseille harbor. Program We are still finalizing the program but current confirmed speakers are: * Demian Battaglia * Andrea Burgalossi * Hayriye Cagnan * Matteo Carandini * Ann Clemens * Matteo Di Volo * Mark Humphries * Kate Jeffery * Liset Menendez de la Prida * Marta Moita * Martha Nari Havenith * David Robbe * Marieke Schölvinck * German Sumbre There will also be a few selected talks from submitted abstracts; we encourage submissions from young researchers or young PIs. Registration Registration is now open (take advantage of early registration price)! Bear in mind that there will be a limitation to 180 participants to the conference and places will be assigned on a first come first served basis. The deadline for both early registration and abstract submission is July 20. As usual, ahead of the conference (October 9-10th) there will be an optional and free Minischool for those who registered. The Misischool concerns management tools of large datasets, spike sorting and calcium imaging. It will take place at the Inmed in Luminy (parc national des callanques). https://neuralnet2023.sciencesconf.org/resource/page/id/17 For more information visit: https://neuralnet2023.sciencesconf.org/ Pierre-Pascal Lenck-Santini, Ph.D. , (He/him/his) INMED INSERM/Aix-Marseille Université -- UMR 1249 Parc scientifique de Luminy 163 avenue de Luminy BP13 - 13273 Marseille cedex 09 - France - Tel : +33 (4) 91 82 81 66 https://brainsalsa.fr/

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Announcing SNUFA 2023 workshop: 7-8 November
by Friedemann Zenke 11 Jul '23

11 Jul '23

We are happy to announce SNUFA 2023: 7-8 November (online)--your friendly focus meeting on spiking neural networks. Abstract submission is now open! See https://snufa.net/2023 for details. Invited speakers this year: Rodolphe Sepulchre, Melika Payvand, Gabriel Ocker, Jeff Krichmar. As usual, the workshop brings together computational neuroscience, machine learning, and neuromorphic engineering researchers to present their work and discuss how to translate these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We aim at a manageable number of talks with ample time for discussions. SNUFA 2023 is brought to you by Charlotte Frenkel, Emre Neftci, Dan Goodman, and Friedemann Zenke -- https://snufa.net/2023

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PhD position - Comp. Neuro. - Navigation using episodic memory
by Vinita Samarasinghe 10 Jul '23

10 Jul '23

*Doctoral Position in Computational Neuroscience* Are you curious about how the human brain stores memories? Have you wondered how we manage to navigate through space? Our dynamic research group uses diverse computational modeling approaches,includingbiological neural networks, cognitive modeling, and machine learning/artificial intelligence, to study learning and memory. Currently, we are actively seeking a *talented graduate student* to join our team, someone who will expand our computationalmodeling framework Cobel-RL (https://doi.org/10.3389/fninf.2023.1134405)and use it to study how episodic memory might be used to learn to navigate.* * *Your Profile: * Candidates must * have a mastersdegreein neuroscience, physics, computer science, mathematics, psychology,or a related field * be able to work independently * have experience in mathematical modeling * have excellent programming skills, * have excellent communication skills in English, and * work well in a team. We are committed to providing a supportive work environment for female researchers and those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to meet with them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare will be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. This position is *65% at TV-L E13*, starts as soon as possible and is funded for *3 years*. Please send your application, including CV, transcripts and research statement electronically, as a single PDF file, to samarasinghe(a)ini.rub.de. In addition, at least two academic references mustbe sent independently to the above email address. The deadline for applications is 20.08.2023. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. Please feel free to get in touch with me if you have any questions. -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email:samarasinghe@ini.rub.de

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Tutorial CNS 2023, T11: Simulation of spiking and BOLD signals using the ANNarchy simulator
by Julien Vitay 10 Jul '23

10 Jul '23

Dear colleagues, we would like to draw your attention to the hands-on tutorial entitled "T11: Simulation of spiking and BOLD signals using the ANNarchy simulator” of the upcoming CNS conference held in Leipzig ( https://www.cnsorg.org/cns-2023) The tutorial will take place on Saturday, July 15th in the afternoon session. The ANNarchy neuro-simulator targets the efficient simulation of rate-coded and spiking models on shared memory systems (multi-core, GPU). This tutorial will first introduce the definition of spiking neural networks in ANNarchy through its equation-oriented interface. The tutorial can be done on your laptops using the provided Jupyter notebooks or remotely on colab. The second part will demonstrate how to record BOLD signals from a spiking simulation using various balloon models and optimize the underlying hyperparameters. Registration for the tutorials at CNS 2023 is required and can be done at: https://ocns.memberclicks.net/cns-2023-registration The tutorial description can be found here: https://cns2023.sched.com/event/1NDRl Useful links: - Source code: https://github.com/ANNarchy/ANNarchy - Documentation: https://annarchy.github.io/ - White paper of the ANNarchy neural simulator: https://www.frontiersin.org/articles/10.3389/fninf.2015.00019/full - BOLD monitoring in ANNarchy: https://www.frontiersin.org/articles/10.3389/fninf.2022.790966/full Best regards Fred Hamker, Helge Ülo Dinkelbach, Julien Vitay -- Professur Künstliche Intelligenz Fakultät für Informatik Technische Universität Chemnitz Straße der Nationen 62 09111 Chemnitz Germany

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T12: Vast parameter space exploration using L2L on EBRAINS
by Michiel van der Vlag 10 Jul '23

10 Jul '23

Did you ever wonder how to best go about exploring the parameters space of a dynamic brain model or how you can optimize a task learning network. Or maybe you just want to know how to work with the research infrastructure from the Human Brain Project called EBRAINS and send jobs to a supercomputer from this cloud environment? We cordially invite you to join our tutorial to learn all about EBRAINS and a scalable HPC solution for learning to learn (L2L), discussing machine learning optimization techniques applied on brain simulations. Synopsis: https://cns2023.sched.com/event/1NCef/t12-vast-parameter-space-exploration-… Organizers: Alper Yegenoglu and Michiel van der Vlag. Hope to see you there! Kind regards, -- Michiel Alexander van der Vlag Forschungszentrum Jülich GmbH Institute for Advanced Simulation (IAS) Jülich Supercomputing Centre (JSC) SDL Neuroscience 52425 Jülich, Germany phone: +49-2461-61-8911

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Two postdoc positions in Computational Cognitive Neuroscience / Psychology / Cognitive Neuroscience
by Martin Hebart 10 Jul '23

10 Jul '23

Dear all, The Computational Cognitive Neuroscience lab <https://hebartlab.com> of Martin Hebart is looking for two postdocs (initially for two years, with a possibility for an extension), who work in Computational Cognitive Neuroscience, Psychology, Computer Science, or a related field. The positions are part of the LOEWE Start Professorship of Martin Hebart, as well as the ERC Starting Grant COREDIM "Uncovering the core dimensions of visual object representations". Our lab aims at uncovering fundamental principles of visual and semantic processing in the human brain, with a focus on the visual system. To this end, we have access to a wide range of exciting large-scale datasets, including (1) human neuroimaging, human and macaque neurophysiological, and behavioral datasets as part of the THINGS initiative ( https://things-initiative.org) as well as (2) recent densely-sampled ultrahigh field functional and structural MRI data to reveal the relationship between the fine-grained cortical anatomy, the human structural connectome, and brain function in occipitotemporal cortex. The exact implementation of the projects is flexible but should be tied to the overall goals of the projects. The project of postdoc position 1 should be focused on using and ideally integrating the diverse datasets acquired as part of the THINGS initiative, including the possibility of developing or testing computational models of vision and language. The project of postdoc position 2 should be focused either on the functional neuroanatomy of the human visual system or on the relationship between visual and semantic features in occipitotemporal cortex. The positions are located at University of Giessen, with close collaboration with the Max Planck Institute of Human Cognitive and Brain Sciences in Leipzig, Germany. Our lab provides a supportive environment that strives towards helping postdocs advance in their career. We provide expertise and state-of-the-art resources for the successful completion of the postdoc positions. University of Giessen offers a vibrant community of vision scientists, and there are close collaborations with Marburg (15min distance by train) and Frankfurt (40min distance). The proximity to Frankfurt provides ideal mobility for national and international candidates. For details, please read the job announcements. Please apply using the online form: Postdoc position 1 <https://www.uni-giessen.de/karriere/stellenangebote/ausschreibungen/wissens…> Postdoc position 2 <https://www.uni-giessen.de/karriere/stellenangebote/ausschreibungen/wissens…> For more information, please reach out to Martin Hebart ( martin.hebart(a)psychiat.med.uni-giessen.de) Best wishes, Martin

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Endowed Professorship "Machine Learning for Clinical Neuroscience"
by Philipp Berens 10 Jul '23

10 Jul '23

Dear all, we are currently advertising an Endowed professorship "Machine Learning for Clinical Neuroscience" (https://www.academics.com/jobs/w3-stiftungsprofessur-fuer-maschinelles-lern…) at the University of Tübingen. We are looking for candidates that perform innovative research on the application and development of new machine learning methods in clinical neuroscience, in particular for early detection and prediction of disease progression. This can include work on topics such as explainability, safety and robustness of machine learning methods in clinical settings. It would be great if candidates had worked with multimodal data with clinical relevance (e. g. MRI, fMRI, EEG, electrophysiology, omics data, data from sensors of wearables) as well as cohort data (UKBiobank, NAKO, etc.). Tübingen offers a first-rate environment at the intersection of neuroscience and AI/ML research with the Excellence Cluster for Machine Learning in Science, the Tübingen AI Center, the Max Planck Institutes for Intelligent Systems and Biological Cybernetics, the Hertie Institute for Clinical Brain Research and many other institutions! We are looking forward to your application by July 20th. Best Philipp -- Professor of Data Science, Director Hertie Institute for AI in Brain Health Medical Faculty of the University of Tübingen www.berenslab.org

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Workshop on Neuro-Inspired Topology and Machine Learning at CNS 2023
by Neymotin, Samuel (NKI) 08 Jul '23

08 Jul '23

We invite the computational neuroscience community to join us at our workshop on Neuro-inspired topology and machine learning at CNS 2023, on July 19th, 2023 in Leipzig, Germany. Workshop Description: Mathematics, machine learning, and computational neuroscience have long been intertwined. Mathematical tools such as graph theory, information theory and dynamical systems have been used to model neural activity. Similarly, modern machine learning approaches have been inspired by neuroscience and have been used to better understand brain connectivity and dynamics. These three research facets play off of each other to advance each field individually and concurrently. The goal of this workshop is to bring computational neuroscientists, mathematicians, and computer scientists together to communicate research around their expertise. Additionally, it will serve as a venue to discuss avenues of future research impacting computational neuroscience and mathematics while advancing machine learning and artificial intelligence methods. Speakers include: Max Bazhenov, Vasileios Christopoulos, Claudia Clopath, Salvador Dura-Burnal, Daniela Egas-Santander, Celia Hacker, Erik Hermansen, Bill Lytton, Robert McDougal, Aitor Morales-Gregorio, Manish Saggar, Brittany Story, and Nick Tolley Full details including schedule are available here: https://sites.google.com/view/nitmlcns2023/home The organizers, Brittany Story, Vasileios Maroulas, Sam Neymotin ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation.

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Comp. Neurosci. postdoc - NY
by Neymotin, Samuel (NKI) 07 Jul '23

07 Jul '23

Postdoctoral scientist positions are available at the Nathan Kline Institute (NKI) for Psychiatric Research (https://www.nki.rfmh.org/) to work on computational neuroscience research funded by NIH and DoD grants. Applicants should have a PhD in computational neuroscience (or a related field), strong background in multiscale modeling using NEURON/NetPyNE, Python software development, neural/electrophysiology data analysis, machine learning, and writing/presenting research. Applicants should send the following information to the computational neuroscience lab PI (Sam Neymotin; samuel.neymotin(a)nki.rfmh.org) 1. Curriculum vitae (.pdf, required) 2. Cover letter describing your research interests, relevant experience, and career goals 3. At least one academic writing sample 4. Referrer's Contact Information/Recommendation Letter Applications will be considered and interviews offered (for qualified applicants) as they are received. ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation.

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Workshop on neuronal optimality and trade-offs at CNS*2023
by Jedlicka, Peter 07 Jul '23

07 Jul '23

Dear all, Join us at CNS*2023 in Leipzig on July 18th and 19th for the workshop W06: Optimality, evolutionary trade-offs, Pareto theory and degeneracy in neuronal modelling<https://www.treestoolbox.org/CNS2023_pareto_workshop/program.html>. Nervous systems, like any evolved structure, encounter unavoidable trade-offs between multiple tasks. They must fulfil their fundamental computational functions whilst consuming as little energy as possible and remaining robust to potential environmental changes. These tasks are often in direct opposition to one another, and a general quantification of the relative importance of individual optimisation targets is non-trivial. The problem is complicated by the degeneracy seen across neurons and circuits, where multiple different combinations of components can lead to similar functional behaviours. Pareto optimality might provide a useful framework to analyse neurobiological systems from biophysically detailed cells to large-scale network structures that combine high-dimensional parameter spaces with high-dimensional objective spaces. Pareto, or multi-objective, optimality can, for example, help to identify geometrically simple subspaces of neuronal models that cannot be improved upon for all relevant objectives. This workshop aims to discuss applications of Pareto optimality to the trade-offs encountered by diverse nervous systems. The talks and discussions will also address the trade-off between functional effectiveness and energetic efficiency and the concept of metabolically efficient information processing. Registration for the workshops at CNS 2023 is required and can be done at: https://ocns.memberclicks.net/cns-2023-registration Speakers include: Astrid Prinz, Anna Levina, Timothy O'Leary, Marcel Oberländer, Arnd Roth, Rishikesh Narayanan, Suhita Nadkarni, Albert Gidon, Zahid Padamsey, Wiktor Mlynarski, Dylan Festa Full details are available at: https://www.treestoolbox.org/CNS2023_pareto_workshop/index.html and https://cns2023.sched.com/event/1O0MO/w06-optimality-evolutionary-trade-off… Hope to see you there! Alex Bird, Philipp Norton, Peter Jedlicka, and Susanne Schreiber -- Prof. Dr. Peter Jedlicka Computer-Based Modelling in the field of 3R Animal Protection Faculty of Medicine Justus Liebig University Giessen Rudolf-Buchheim-Straße 6 35392 Gießen Phone: ++49 (0)641 9941387 Fax: ++49 (0) 641 9941359 Email: Peter.Jedlicka(a)informatik.med.uni-giessen.de 3R Centre of Justus Liebig University Giessen Interdisciplinary Centre for 3Rs in Animal Research (ICAR3R) Frankfurter Straße 104 35392 Giessen (Germany) www.ICAR.de<https://www.uni-giessen.de/de/fbz/fb11/institute/computerbasiertes-modellin…>

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2 Fully funded PhD positions in testing of AI-based systems at Università della Svizzera italiana (Switzerland)
by Nargiz Humbatova 07 Jul '23

07 Jul '23

Dear All, The TAU (Testing AUtomated) research group at the Software Institute <https://www.si.usi.ch/> of Università della Svizzera italiana (USI) <https://www.usi.ch/> investigates novel testing techniques to improve the robustness and security of systems based on deep learning. We offer two PhD positions in the following topics: 1. Search-based test case generation for vulnerability exposure in deep learning based systems and creation of a robustness assessment benchmark. The position is funded by the Horizon <https://research-and-innovation.ec.europa.eu/funding/funding-opportunities/…> European project Sec4AI4Sec <https://search.usi.ch/en/projects/3018/cybersecurity-for-ai-augmented-syste…> which aims to support security testing of AI-based systems; 2. Automated partition of a complex input space into a topographical map consisting of regions that maximise the likelihood of fault exposure when test cases are sampled from unexplored or boundary map regions. This position is funded by the SNSF <https://snf.ch/en> project TopoScope <https://search.usi.ch/en/projects/3030/toposcope-a-topographical-approach-t…>, aiming at redefining the testing activities as the exploration of a topographical map of the input space. We are scouting excellent applicants for these two PhD positions. Successful candidates will work at the Software Institute of Università della Svizzera italiana (USI) in Lugano, Switzerland, under the supervision of Prof. Paolo Tonella <http://inf.usi.ch/faculty/tonella> and the co-supervision of Dr. Nargiz Humbatova <http://usi.to/pio> and Dr. Jinhan Kim. At USI, PhD salaries are highly competitive (around 50 kCHF), in accordance with the Swiss standards. Ideally, the selected candidates are expected to start on October 1st, 2023, but later starts can also be considered. The duration of the PhD contract will be 4 years. How to apply? Applications for PhD positions should include a curriculum vitae and the exam transcripts. PhD candidates should hold an MSc degree in Computer Science by Fall 2023. Applications can be sent to paolo.tonella(a)usi.com. The call will remain open until all positions are filled, but *priority will be given to earlier applications*. Best Regards, Nargiz

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Master of Science "Modeling for Neuronal and Cognitive Systems" at Université Côte d'Azur - Apply until the 20th of July!
by Chloe Bourgeois 07 Jul '23

07 Jul '23

The M.Sc. program "Modeling for Neuronal and Cognitive Systems" at Université Côte d'Azur is still recruiting its new students! This international Master of science is interdisciplinary and related to computational approaches in neuroscience/cognitive science. Check our website for eligibility criteria and more info about the program: https://univ-cotedazur.eu/msc/modeling-for-neuronal-and-cognitive-systems Applications must be submitted via the online platform ecandidat<https://ecandidat-uca1.univ-cotedazur.fr/#!accueilView>, until the 20th of July 2023. Thanks for sharing this announcement as widely as possible. Contact: msc-mod4neucog(a)univ-cotedazur.fr<mailto:msc-mod4neucog@univ-cotedazur.fr> Kind regards, -- Chloé Bourgeois Responsable Administrative Institut NeuroMod<https://neuromod.univ-cotedazur.eu/> 2004 Route des Lucioles 06902 Sophia-Antipolis Tel. : +33 (0)4 89 73 24 99

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CNS 2023 Tutorial on Dynamical Systems Methods
by Richard Gast 06 Jul '23

06 Jul '23

Dear members of the computational neuroscience community, I would like to draw your attention to a tutorial that Hil G.E. Meijer, Bastian Pietras, and I will offer at the first day of CNS 2023: "Applied Dynamical Systems Methods in Neuroscience''. In this tutorial, we will explain basic dynamical systems concepts and analysis methods at the example of single neurons, neural networks, and mean-field equations of neural networks. The main goals of the tutorial are (i) to provide the audience with an intuition of how neural systems can be studied via mathematical models, (ii) to explain how we can analyze parameter dependencies of these mathematical models, and (iii) to provide numerical recipes, and software solutions to carry out these analysis methods. For more details on the tutorial, have a look at our website: https://cns2023.sched.com/event/cbd810bd0ffd6a59869a5f89fbf17b58 If you are planning to participate in the hands-on sessions, I advise you to follow the preparation instructions on that website! See you in Leipzig, Richard Gast

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SUBMIT YOUR WORK TO COMPLEX NETWORKS 2023 BEFORE SEPT. 02, 2023
by Hocine Cherifi 06 Jul '23

06 Jul '23

*12* *th **International Conference on Complex Networks & Their Applications* Menton Riviera <https://www.menton-riviera-merveilles.co.uk/>, France November 28 - 30, 2023 COMPLEX NETWORKS 2023 <https://complexnetworks.org/> You are cordially invited to submit your contribution until *September 02, 2023*. *SPEAKERS* · Michael Bronstein <https://www.cs.ox.ac.uk/people/michael.bronstein/> University of Oxford UK · Kathleen Carley <https://www.cylab.cmu.edu/directory/bios/carley-kathleen.html> Carnegie Mellon University USA · Manlio De Domenico <https://manliodedomenico.com/> University of Padua Italy · Danai Koutra <http://web.eecs.umich.edu/~dkoutra/> University of Michigan USA · Romualdo Pastor-Satorras <http://www.fen.upc.edu/~romu/> Univ. Politècnica de Catalunya Spain · Tao Zhou <https://scholar.google.com/citations?user=MXgWgmEAAAAJ&hl=en> USTC China *TUTORIALS* · Tiago de Paula Peixoto <https://skewed.de/tiago> CEU Vienna Austria · Maria Liakata <https://www.turing.ac.uk/people/researchers/maria-liakata> Queen Mary University of London UK *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. · *Papers *will be included in the conference *proceedings edited by Springer* · *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science <https://appliednetsci.springeropen.com/> edited by Springer o Advances in Complex Systems <https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific o Complex Systems <https://www.complex-systems.com/about/> o Entropy <https://www.mdpi.com/journal/entropy> edited by MDPI o PLOS <https://journals.plos.org/plosone/> one <https://journals.plos.org/plosone/> o Social Network Analysis and Mining <https://link.springer.com/journal/13278> edited by Springer *SUBMISSION* https://complexnetworks.org/submission/ *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Epidemics o Community Structure o Motifs o Network Mining o Network embedding o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Controllability o Synchronization o Visual Representation o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems o Financial and Economic Networks o Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics o Earth Sciences Applications o Resilience and Robustness of Complex Networks o Networks for Physical Infrastructures o Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks o Graph-Based Natural Language Processing *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA)

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Announcing the fourth Canadian Computational Neuroscience Spotlight!
by Scott Rich 05 Jul '23

05 Jul '23

Dear Comp-Neuro mailing list members, We are pleased to announce the fourth edition of the Canadian Computational Neuroscience Spotlight (CCNS) <https://www.crowdcast.io/c/ccnsv4> will take place this fall, October 5 and 6. The meeting will once again take place entirely virtually using the Crowdcast platform, and parlay the savings from this virtual setting into no registration fees for attendees. CCNS was created in the immediate aftermath of the initial COVID-19 lockdowns, which caused the cancellation of multiple conferences within the Canadian neuroscience community. As one of the first brand-new meetings created with the virtual space in mind <https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008…>, CCNS distinguished itself by exploiting the online setting to engage an international audience, increase content accessibility through no registration fees and permanently available replays, and place an added spotlight on trainee contributions. Two successful follow-up editions of the meeting took place in 2021 and 2022. CCNSv4 will highlight three fantastic keynote speakers: Dr. Rick Adams <https://www.ucl.ac.uk/mental-health/mental-health-awareness-week/meet-dr-ri…>, Dr. Jeremie Lefebvre <https://www.uottawa.ca/brain/people/lefebvre-jeremie>, and Dr. Sarah Muldoon <https://www.buffalo.edu/cas/math/people/faculty/muldoon.html>. The keynote talks will be complemented by interactive workshop sessions led by our organizing committee. The remainder of the program will highlight trainee contributions, both through spotlighted talks and parallel sessions. The preliminary program can be seen after registration through the Crowdcast platform <https://www.crowdcast.io/c/ccnsv4>, and further details will be added to our homepage (ccnsmeeting.ca) in the coming weeks. Trainees interested in presenting are encouraged to first register for the conference via Crowdcast (crowdcast.io/c/ccnsv4 <https://www.crowdcast.io/c/ccnsv4>) and then complete this Google Form <https://docs.google.com/forms/d/e/1FAIpQLSeev-EA5ccwKapzRV43xD4NfDYGyDeAiWp…>. Submissions received by 5 p.m. EDT on September 1 will be considered for longer “spotlight” presentations. We anticipate all submissions that reasonably fall under the broad banner of “computational neuroscience” will be accepted unless demand far exceeds our expectations. A final schedule for the meeting, including the schedule of trainee talks, will be made available no later than September 18. Please feel free to reach out to the organizing committee if you have any questions about this meeting, and we look forward to seeing you at CCNSv4! Sincerely, The CCNS Organizing Committee: Scott Rich <http://scottrich.strikingly.com/>, Ph.D. Research Fellow, SickKids Research Institute. Andreea Diaconescu <https://cognemo.com/>, Ph.D. Independent Scientist, Krembil Center for Neuroinformatics at CAMH. John Griffiths <https://t.co/AlUQymEUae?amp=1>, Ph.D. Independent Scientist, Krembil Center for Neuroinformatics at CAMH. Milad Lankarany <https://sites.google.com/view/lnsbsp/home>, Ph.D. Scientist, Krembil Research Institute.

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Invitation for Hands-on Tutorial on PyNN at CNS*2023 Inbox
by CHITARANJAN MAHAPATRA 05 Jul '23

05 Jul '23

*Dear all,* *We are delighted to announce that a half-day tutorial titled "Hands-on Tutorial on PyNN: A Simulator-Independent Language for Building Neuronal Network Models" will be held at the 32nd Annual Computational Neuroscience Meeting (CNS*2023 conference) in Leipzig, Germany. We invite all registered participants to join the tutorial, which will take place on the first day of the meeting, 15 July 2023, just before the main event.* *Computational neuroscientists have developed a diversity of software platforms for simulating neural network models at different scales. However, each simulator has its own programming or configuration language, leading to considerable difficulty in porting models from one simulator to another. A common programming interface to multiple simulators would help to reduce or eliminate the problems of simulator diversity while retaining the benefits. PyNN is such an interface, making it possible to write a simulation script once, using the Python programming language, and run it without modification on any supported simulator (currently including NEURON, NEST, Brian, and the SpiNNaker and BrainScaleS neuromorphic hardware systems).* *Prerequisites:* *Basic familiarity with the Python programming language* *Useful links:* *Main website: https://ebrains.eu/service/pynn/ <https://ebrains.eu/service/pynn/>* *Documentation: http://neuralensemble.org/docs/PyNN/ <http://neuralensemble.org/docs/PyNN/>* *Download: https://pypi.org/project/PyNN/ <https://pypi.org/project/PyNN/>* *Organizers:* *Chitaranjan Mahapatra (Neuroinformatics Group, Paris-Saclay Institute of Neuroscience, CNRS, Paris-Saclay University, France)* *Shailesh Appukuttan (Neuroinformatics Group, Paris-Saclay Institute of Neuroscience, CNRS, Paris-Saclay University, France)* *Andrew Davison (Neuroinformatics Group, Paris-Saclay Institute of Neuroscience, CNRS, Paris-Saclay University, France)* *Speakers/Instructors:* *Chitaranjan Mahapatra, Speaker (Paris-Saclay Institute of Neuroscience, France)* *Nitin Anisetty, Instructor (Indian Institute of Technology Bombay, India)* *We also invite all tutorial participants to create a free EBRAINS account using an institutional email address. By doing so, you will gain complete access to EBRAINS tools and services.* *Best regards,* *Chitraranjan* ------------------------------------------------------------------------------------------------- Chitaranjan Mahapatra

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Tutorial "Using open tools to build efficient workflows for data access, management and analysis" at CNS*2023
by Michael Denker 05 Jul '23

05 Jul '23

We would like to take the opportunity to invite you to our hands-on tutorial titled "Using open tools to build efficient workflows for data access, management and analysis" which will be held in the morning tutorial session on July 15, 2023 of this year's CNS*2023 conference in Leipzig, Germany (https://www.cnsorg.org/cns-2023) The tutorial is open to all registered participants, and assumes only basic experience with the Python programming language. Tutorial materials will be made available during the session. In order to interactively follow the tutorials online, we suggest to create a free EBRAINS account (https://www.ebrains.eu/page/sign-up) in advance. Synopsis: Neuroscientists today face challenges in managing the growing volume and complexity of data generated through rapid technological and methodological advancements and sophisticated experimental paradigms. Data management tools and methods provide indispensable solutions for researchers to efficiently handle, organize, and analyze datasets, facilitating model validation, refinement, and simulation, while fostering collaborations. This tutorial presents examples combining multiple tools synergistically into a complete digitized workflow to help researchers manage and control data and analysis processes. - GIN is a platform for version-controlled (git and git-annex) data management and collaboration. It supports any file types and folder structure, provides web and command-line access, provides an option for local installation, and services including format validation and data publication (DOI). - odML is an open, lightweight, and flexible format that provides a common schema (with implementations in XML, JSON, and YAML) to collect, organize and share metadata in a human- and machine-readable way. - NIX is a lean data model and file format for storing fully annotated scientific datasets, i.e., the data together with rich metadata (odML) and their relations in a consistent, comprehensive format. - Neo provides programmatic data objects for working with and representing electrophysiological data and can read data from many proprietary formats. In combination with NIX, Neo makes electrophysiological data interoperable with generic analysis scripts, tools, and services. - Elephant provides a large portfolio of standard and advanced methods for analyzing data from neuronal spike trains or time series data, such as LFPs. The Neo data model makes them easily accessible to scientists and applications. - Alpaca enables simple capture of human-readable provenance of the data processing workflow. Organizers: - Reema Gupta, Faculty of Biology, Ludwig-Maximilians-Universität München - Moritz Kern, Institute of Neuroscience and Medicine (INM-6/10), Jülich Research Centre - Michael Denker, Institute of Neuroscience and Medicine (INM-6/10), Jülich Research Centre - Thomas Wachtler, Faculty of Biology, Ludwig-Maximilians-Universität München

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Fully funded PhD fellowships in computational neurosciences (Benoit Cottereau’s team, Cerco, CNRS UMR 5549 in Toulouse and IPAL IRL 2955 in Singapore) on spatial cognition with spiking neural networks
by COTTEREAU Benoît 05 Jul '23

05 Jul '23

Fully funded PhD fellowships in computational neurosciences (Benoit Cottereau’s team, Cerco, CNRS UMR 5549 in Toulouse and IPAL IRL 2955 in Singapore) on spatial cognition with spiking neural networks Starting date: Second semester of 2023 Supervisors: Benoit Cottereau, research director at CNRS (Contact: benoit.cottereau(a)cnrs.fr<mailto:benoit.cottereau@cnrs.fr>), in close collaboration with Robby Tan, associate professor at National University of Singapore (NUS) Keywords: Computational neurosciences, Spatial cognition, Artificial intelligence (AI), Vision, Spiking neural networks, Event-based cameras. Fully funded PhD fellowships are available to work at the CNRS (Cerco laboratory in Toulouse and also IPAL in Singapore) under the supervision of Benoit Cottereau (CNRS research director), in close collaboration with Robby Tan (assistant professor at NUS, Singapore). The aim of the project is to develop computational models of spatial cognition in humans (e.g., for depth/motion perception or navigation). In order to reproduce the very low energy consumption of visual information processing in biological systems, these models will be based on spiking-neural networks (SNNs) and will process data collected from event-based cameras. These models will be evaluated with respect to biological data (their responses will be compared to those observed in neural recordings and/or in behavioural experiments). The candidates should be willing to work in an international environment which involves Singapore and France, have a good level in English, very good programming skills and be interested in neurobiology. Some knowledge in neurosciences/ cognitive sciences would be a plus. The research will mainly take place in Toulouse, a student city (Toulouse is the second university hub in France) with high quality of life located in the south west of France (close to the Pyrenees, the Mediterranean Sea and the Spanish border). Long stays in Singapore (a multicultural and attractive city of south-east Asia) are also planned. Each of the three positions will be fully funded during the three years of the PhD, with standard French salaries. Applications should be sent to benoit.cottereau(a)cnrs.fr<mailto:benoit.cottereau@cnrs.fr>, including a CV and 2 names of references. **************************************************************************************************** Benoit R. Cottereau, PhD, HDR, CNRS Research director (DR2) at the Brain and Cognition Research Center (CerCo, CNRS, UMR 5549, Toulouse): http://cerco.cnrs.fr/page-benoit-cottereau/ Director of the SV3M team (Spatial Vision in Man, Monkey and Machine): http://cerco.cnrs.fr/en/sv3m-spatial-vision-in-man-monkey-machine/ Supervisor of the Integrative Neurosciences master program of Toulouse III University e-mail: benoit.cottereau(a)cnrs.fr phone: (+33)-5-62744520

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Postdoctoral Researcher position at Goettingen Campus Institute for Dynamics of Biological Networks, University of Goettingen
by von Behren, Christina 04 Jul '23

04 Jul '23

Dear Scientists, The Göttingen Campus Institute for Dynamics of Biological Networks (CIDBN)<https://www.uni-goettingen.de/de/608362.html> invites applications for a position of Postdoctoral Researcher in Computational Biophysics (all genders welcome) The position will be full-time (currently 39,8 hours/week), German pay grade 13 TV-L, starting as soon as possible. The CIDBN Department "Physics of Biological Systems", headed by Prof. Fred Wolf, offers a fixed-term contract until June 30, 2025 with the perspective of an extension commensurate with building a competitive track record at the frontier of computational biophysics and neural circuit theory. Information is processed in brain circuits through the coordinated action of large-scale circuits of neurons and synapses. Ultimately, it is the nano-scale molecular architecture of neuronal synapses that can make or break the power of neural circuit computation. Progress in a broad suite of nanoscopy techniques is currently uncovering the molecular-level design of synapses subserving functions such as working memory or sensory coding. The spatio-temporal operation of these nano-machines and the efficiency of their design, however, remain to be understood and are core research aims of the Göttingen Collaborative Research Centre (CRC) 1286 "Quantitative Synaptology"<https://www.sfb1286.de/?lang=en>. We are inviting applications from theoretical biophysicists, molecular systems biologists, or computational scientists with an ambition to pioneer computational studies of synaptic functional design. We offer a stimulating environment of theoretical neuroscientists, neural data-scientists, and cutting-edge experimentalists associated with CRC 1286. In addition, the institute provides dedicated support for high-performance computing. We are dedicated to supporting the growth of original research personalities at the frontier of computational science and neural circuit theory. The successful applicant will hold an excellent PhD in physics, applied mathematics, computer science, or equivalent, and have a strong interest in high-performance computing in neuroscience or cellular systems biology. We expect excellent analytical and coding skills, interest in working in a transdisciplinary team as well as excellence in scientific writing and reasoning. Experience in non-equilibrium statistical physics, stochastic dynamics, membrane biophysics, ion-channel and biochemical kinetics, buffered Ca-diffusion, and Ca-exocytosis coupling would be advantageous. The Göttingen Campus is a leading center of neuroscience in Europe hosting numerous internationally renowned research institutions, including the University, the University Medical Center, two life science Max Planck Institutes, the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience Göttingen. The CIDBN is a newly founded transdisciplinary institute whose mission is to foster frontier research at the border of the exact and biological sciences. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference. Please send your e-mail application in one single PDF-document, including a letter of motivation, your curriculum vitae with a list of publications, copies of your certificates and contact information of two references to cidbn(a)uni-goettingen.de<mailto:cidbn@uni-goettingen.de> (subject: Postdoc CIDBN). The position remains open until filled. Georg-August-Universität Göttingen Göttingen Campus Institute for Dynamics of Biological Networks Heinrich-Düker-Weg 12, 37073 Göttingen. If you have any questions, please contact Prof. Fred Wolf via e-mail: fred.wolf(a)ds.mpg.de<mailto:fred.wolf@ds.mpg.de>. Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Hinweisblatt zur Datenschutzgrundverordnung (DSGVO) https://www.uni-goettingen.de/hinweisdsgvo <https://www.uni-goettingen.de/hinweisdsgvo%20> Best regards, Christina von Behren ------ Goettingen Campus Institute for Dynamics of Biological Networks Bernstein Center for Computational Neuroscience Goettingen University of Goettingen Heinrich-Dueker-Weg 12 37073 Goettingen Germany Tel.: +49-(0)551-39-26674

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PLOS Complex Systems is coming!
by Hocine Cherifi 04 Jul '23

04 Jul '23

View this email in your browser <https://view.e.plos.org/?qs=dee8047ee42f8224301af96522f8b69a270a53ce74ede07…> [image: PLOS] <https://click.e.plos.org/?qs=e061474313b570c1a547d4ee8221ae589c93c76242c1d0…> *Announcing PLOS Complex Systems* *A new home for complex systems research that transcends disciplines* Dr Cherifi, We’re proud to announce *PLOS Complex Systems*, a forthcoming new journal to complement our existing portfolio and continue our mission to support research communities around the globe. *PLOS Complex Systems* <https://click.e.plos.org/?qs=e061474313b570c1405def8d96d43bf81f83b9b03ed88c…> will publish research of broad significance that untangles the complex systems at the heart of the world we live in. Open Science options at every stage of research communication facilitate new connections that inspire ideas and accelerate progress across disciplines while cross-fertilizing knowledge that enable solutions to fundamental challenges facing our society today. Find out more <https://click.e.plos.org/?qs=e061474313b570c1405def8d96d43bf81f83b9b03ed88c…> [image: Hocine Cherifi] *“I am thrilled to be part of the launch of *PLOS Complex Systems*, a significant step forward in understanding the intricacies of our world. This journal has the power to break down disciplinary boundaries and encourage researchers to approach problems holistically. Together, we have the opportunity to shape the future of complex systems research and make a lasting impact on scientific understanding and societal progress.”* *- Hocine Cherifi, Editor-in-Chief* Want to learn more?Find out more about the scope of *PLOS Complex Systems*, our Editor-in-Chief, and other relevant journal information on our website. Start here <https://click.e.plos.org/?qs=e061474313b570c1405def8d96d43bf81f83b9b03ed88c…>

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Postdoc at NYU
by Grace Lindsay 03 Jul '23

03 Jul '23

The Lindsay Lab is hiring a postdoc! Work in the lab focuses on using artificial neural networks as models of the brain. A potential postdoc should be interested in working on a project that could fit into either of the first two research areas listed here: https://lindsay-lab.github.io/research/ (specifically, modeling attention in artificial neural networks or testing tools of neural analysis on artificial neural networks). To apply, send a CV, half page project proposal & contact info for 3 references to grace.lindsay(a)nyu.edu with subject "Postdoc Application" -- Grace Lindsay Assistant Professor, Psychology & Data Science New York University gracewlindsay.com lindsay-lab.github.io *Models of the Mind: How Physics, Engineering and Mathematics Have Shaped Our Understanding of the Brain* <https://gracewlindsay.com/2021/02/10/models-of-the-mind-how-physics-enginee…>

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PhD candidate on machine learning for normative modeling of functional brain activity -1 fte 4 years
by Mostafa Kia 03 Jul '23

03 Jul '23

Dear Colleagues, We are excited to announce an excellent opportunity for an enthusiastic Ph.D. candidate to join our team at the computation psychiatry group at the Department of cognitive science and artificial intelligence, Tilburg University. We are currently seeking a candidate to undertake normative modeling on big MEG/EEG data, a captivating research area with vast potential for precision psychiatry. As a Ph.D. candidate in this role, you will have the chance to apply state-of-the-art machine learning techniques on big MEG/EEG data, contributing to the advancement of our understanding of the biological underpinnings of mental disorders. Your research will focus on responsible normative modeling, allowing for valuable insights and potential applications of machine learning for precision psychiatry. We are looking for a candidate who possesses a strong background in machine learning, probabilistic data modeling, and neuroimaging. Proficiency in data analysis techniques, programming skills, and experience with MEG/EEG data will be advantageous. For more information regarding this vacancy, please consult the original call at https://www.academictransfer.com/en/329751/phd-candidate-on-machine-learnin… . Best regards, Seyed Mostafa Kia <https://research.tilburguniversity.edu/en/persons/seyed-mostafa-kia>, PhD Assistant Professor Department of Cognitive Science & Artificial Intelligence <http://www.csai.nl/> Tilburg School of Humanities and Digital Sciences Warandelaan 2, 5037 AB, Tilburg, The Netherlands

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PhD position Bioengineering and Robotics: Early vision function in silico networks of LIF neurons | PSPC Labs Genoa, ITALY
by Silvio P. Sabatini 01 Jul '23

01 Jul '23

Applications are invited for one full-time PhD studentship for a period of 3 years, at the Department of Informatics, Bioengineering, Robotics, and System Engineering (DIBRIS), University of Genoa, Italy. The position will start on Nov 1st, 2023 on the following research project: **Early vision function in silico networks of LIF neurons** One approach to understanding implications of the initial stages of visual processing is ideal observer analysis, which evaluates the information available to support psychophysical discriminations at various stages of the early visual representation. Computational approaches primarily rely on simple generative models, which do not take into account the distinctive properties of individual elementary channels, as well as the active nature of the input sensory pattern. Accordingly, many details remain underrated, as well as their implications on functional vision not fully understood. The project's goal is to develop an “artificial observer” composed of an active event-based camera feeding a neuromorphic multi-layer network of leaky integrate and fire (LIF) neurons. The system should provide the inference engines for relating visual representations to performance on perceptual judgement tasks. Multiple and varying parameters captured under complex, real-life conditions should be comparatively assessed in silicon and human observers. The research will be conducted at the Bioengineering/PSPC labs of DIBRIS. Applicants are expected to: (1) have a Master’s degree in Bioengineering, Computer Science, Physics or related disciplines, (2) have a keen interest in Vision Science and in Artificial Intelligence, (3) have good programming skills in at least one language (MATLAB, C/C++, Python, C#), (4) work well in group problem solving situations, (5) have intermediate communication skills (oral and written in English). Experience in neural modeling is a plus. Prospective students, please contact Silvio P. Sabatini ( silvio.sabatini(a)unige.it) providing your CV and qualifications, the name and contact details of two references, and a description of your research interests. *Online application is possible till *July 10th , 2023 (12:00 a.m. CET)** Full details on the call and the application procedure are available at: https://unige.it/en/students/phd-programmes https://biorob.phd.unige.it/how-to-apply Regards, -- -- --------------------------------------------------------------------- Silvio P. SABATINI, PhD [PSPC Research Group] DIBRIS - University of Genova | e_mail: silvio.sabatini(a)unige.it Via Opera Pia, 13 | phone: +39 010 33 52092 I-16145 Genova (ITALY) | fax: +39 010 33 56533 URL: http://pspc.unige.it --------------------------------------------------------------------- "Imagination is more important than knowledge..." [Albert Einstein]

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DPG - Bad Honnef Physics School on "Physics of Viruses" this September
by Viola Priesemann 28 Jun '23

28 Jun '23

Dear all, we are organizing a Bad Honnef Physics School on "Physics of Viruses" from September 10th till 15th 2023. - This school will cover all aspects of the physics of viruses, from their molecular architecture and assembly through to virus transmission, spread and evolution. We have put together a diverse program with world-renowned speakers, which also includes tutorials and time for discussions and networking. The physics center in Bad Honnef is a fantastic venue for such events and participation fees are very affordable (200 EUR, 100 EUR for DPG-members, covering board and lodging for one week at the Physikzentrum at Bad Honnef, which is close to Bonn and beautifully located at the Rhine). We very much look forward to interacting with interested master students, PhD-students, postdocs and even more senior researchers! You may also bring a poster on your own work and/or contribute a short presentation. More information and the schedule for the school can be found here : https://www.dpg-physik.de/veranstaltungen/2023/physics_of_viruses?set_langu…. Space is limited, so please secure your spot at the school as soon as possible. We very much look forward to welcoming you in Bad Honnef! Best regards, Ulrich Schwarz and Sarah Köster PS: PIs, please forward this email to your group members! https://www.dpg-physik.de/veranstaltungen/2023/physics_of_viruses?set_langu… ---------------------- Tel. +49 (2224) 9232-0 Fax +49 (2224) 9232-50 E-Mail: dpg(a)dpg-physik.de www.dpg-physik.de www.linkedin.com/company/dpgphysik www.facebook.com/DPGPhysik www.instagram.com/DPGPhysik www.youtube.com/DPGPhysikTV Deutsche Physikalische Gesellschaft e. V. Geschäftsstelle, Hauptstraße 5, 53604 Bad Honnef Hauptgeschäftsführer: Dr. Bernhard Nunner Eingetragen beim Vereinsregister des Amtsgerichts Siegburg unter Registernummer VR 90474

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NEURON, NetPyne, and TREES at OCNS 2023 in Leipzig
by McDougal, Robert 27 Jun '23

27 Jun '23

Join us at CNS 2023 in Leipzig on July 15th for the tutorial T01: Building mechanistic multiscale models with NEURON, NetPyNE, and TREES. NEURON is a simulator for neurons and networks of neurons with strong support for morphologically detailed models. TREES is a toolbox for working with morphologies, and NetPyNE is an abstraction layer on top of NEURON to facilitate the specification of large network models. We will talk about both basic and new features. This tutorial will be highly interactive, focusing on cloud-based examples for the NEURON and NetPyNE portions. Registration for the tutorials at CNS 2023 is required and can be done at: https://ocns.memberclicks.net/cns-2023-registration Speakers include: Bill Lytton, Robert McDougal, Thomas Künzel, Hermann Cuntz, Adam Newton, and Salvador Dura-Bernal. Full details are available at: https://cns2023.sched.com/event/150df23f7af1dcca6e55694eba15bf83 Hope to see you there!

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Apply now for the Computational Neuroscience Imbizo 2024 - form closes 11th July
by Christopher Currin 27 Jun '23

27 Jun '23

Dear all, The DEADLINE for the next IMBIZO is approaching very quickly. Don’t let this opportunity slip by if you are hoping to join the most diverse neuroscience summer school at the most beautiful beach in the world! If you know anyone who would benefit from an extraordinary computational neuroscience summer school, please distribute this information as widely as you can: IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO #Imbizo2024 7 January - 28 January 2024, Noordhoek Beach, Cape Town, South Africa http://imbizo.africa/ Application deadline: 11th July 2023 The #Imbizo2024 is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together international and local students under the tutelage of the world's leading experts in the field. Like its international sister courses, this four-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of computational neuroscience, including experimental underpinnings and machine learning analogues. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modelling of neurons, neural systems, behaviour, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. It also includes a week focused on neuroscience-inspired machine learning! Who should apply? This course is aimed at Masters and early-PhD level students though Honours or advanced undergraduates may also apply. Postdoctoral students who can motivate why the course would benefit them are also encouraged to apply, Students should have sufficient quantitative skills, (e.g. a background in mathematics, physics, computer science, statistics, engineering or related field). Some knowledge of neural biology will be useful but not essential. Experimental neuroscience students are encouraged to apply, but should ensure that they have a reasonable level of quantitative proficiency (i.e. at least second-year level mathematics or statistics and have done at least one course in computer programming). Essential details * Fee (which covers tuition, lodging, and meals): 1350 EUR Thanks to our generous sponsors, significant financial assistance is available to reduce and waiver fees for students, particularly for African applicants. We also hope to provide some travel bursaries for international students. If you are in need of financial assistance to attend the Imbizo, please state so clearly in the relevant section of your application. The Imbizo is planned to be hosted in person, with everyone following our COVID policy <https://imbizo.africa/covid-policy/>. If it is unsafe to hold the summer school, we will follow up with further information at the appropriate time. * Application deadline: 11th July 2023 * References submitted: 14th July 2023 * Notification of results: August 2023 Information and application https://imbizo.africa/ Questions? isicn.imbizo(a)gmail.com What is an Imbizo? \ɪmˈbiːzɒ\ | Xhosa - Zulu A gathering of the people to share knowledge. Incl. past FACULTY and TAs such as... Adrienne Fairhall - Washington University Alex Pouget - University of Geneva Anne-Marie Oswald - University of Pittsburgh Annik Carson - AI Redefined Arif Hamid - University of Minnesota Medical School Aza Allsop - Yale University Bard Ermentrout - University of Pittsburgh Bianca Jones Marlin - Columbia University Blake Richards - McGill University Brent Doiron - University of Chicago Cengiz Pehlevan - Harvard University Christopher Currin - Institute of Science and Technology Austria & IndabaX South Africa Daniela Vallentin - Max Planck Institute for Biological Intelligence David Sussillo - Google Demba Ba - Harvard University Dongyan Lin - MILA Evan Schaffer - Columbia University Franck Kalume - University of Washington Grace Lindsay - New York University Guillaume Lajoie - University of Montreal & MILA Henning Sprekeler - Technical University of Berlin Ilenna Jones - Harvard University Joseph Raimondo - University of Cape Town Mackenzie Mathis - EPFL Lausanne Marjorie Xie - Columbia University Mohamed Abdelhack - Krembil Centre for Neuroinformatics Nina Kudryashova- University of Edinburgh Peter Latham - University College London Rachael Dangarembizi - University of Cape Town Roy Eyono - MILA Spiros Chavlis - IMBB-FORTH SueYeon Chung - New York University Thomas Tagoe - University of Ghana Tim Vogels - Institute of Science and Technology Austria Timothy Lillicrap - DeepMind Xaq Pitkow - Baylor College of Medicine ORGANISERS Demba Ba (Harvard University) Christopher Currin (Institute of Science and Technology Austria & IndabaX South Africa <https://indabax.co.za>) Peter Latham (Gatsby Unit for Computational Neuroscience) Joseph Raimondo (University of Cape Town) Emma Vaughan (Imbizo Logistics) Tim Vogels (Institute of Science and Technology Austria) Sponsors The Imbizo is made possible by the generous support from the Simons Foundation <https://www.simonsfoundation.org/>, the International Brain Research Organisation (IBRO) <https://ibro.org/> as well as the Wellcome Trust, Google Deep Mind and others. Organizational Affiliates University of Cape Town, University College London, Institute of Science and Technology Austria, TReND in Africa <http://trendinafrica.org/>, Neuroscience Institute <http://www.neuroscience.uct.ac.za/>, Gatsby Foundation <http://www.gatsby.org.uk/>, IBRO African Center for Advanced Training in Neurosciences at UCT

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Open research training: Open Seeds mentoring & training program is open for application until July 2023
by Mayya Sundukova 26 Jun '23

26 Jun '23

Dear all, The next cohort of Open Seeds OLS-8 is open for application! Open Seeds is a Mentoring & Training Programme run by OLS, designed for people interested in applying open principles in their work and becoming Open Science ambassadors in their communities. The program is free but requires registration in OpenReview and an application with a project where you would like to apply open skills. More information: https://openlifesci.org/ The deadline to apply is on July 7th, with a decision made in August and the cohort starting in mid-September 2023. On the 28th of June OLS will run an open webinar “Application Clinic (Q&A)” where interested participants can ask the OLS team any questions about their applications to the program. If you have not thought about a project and application, this can be an excellent opportunity to learn more about the program and get inspired https://www.eventbrite.co.uk/e/application-clinic-call-qa-tickets-660976427… . Help us share about the Open Seeds OLS-8 call in your network. More about Open Seeds Purpose: Training for individuals and teams interested in furthering their Open Science skills in any area of research and community projects. Process: Online 16-week with online cohort calls and mentor-based individual support to help participants in integrating open science practices in their work and in the long term become Open Science ambassadors in their community. Open leaders from Open Seeds OLS programme are - taught essential knowledge required to create, lead, and sustain an Open Science project. - connected with members across different communities, backgrounds, and identities by creating space in this program for them to share their experiences and expertise. - empowered to become effective Open Science ambassadors in their communities. *Examples of projects you can bring:* Please see our previous cohorts for a full list of projects that have been developed in OLS: OLS1 <https://openlifesci.org/ols-1/projects-participants/>, OLS-2 <https://openlifesci.org/ols-2/projects-participants/>, OLS-3 <https://openlifesci.org/ols-3/projects-participants/>, OLS-4 <https://openlifesci.org/ols-4/projects-participants/>, OLS-5 <https://openlifesci.org/ols-5/projects-participants/>, OLS-6 <https://openlifesci.org/ols-6/projects-participants/> and OLS-7 <https://openlifesci.org/ols-7/projects-participants/> - Researchers and data scientists: applying open, reproducible and FAIR principles to their current research, data management plan, collaborative workflow design, tooling and roadmapping, the publication of research outcome, a side project they are working on, an app they are building for social good, a prototype they want to further enhance etc. - Business team members: collaborative projects with the researcher, public engagement, dissemination of research output, community engagement, survey and feedback collection, infrastructure design, resource hosting services etc. - Support staff members: data management, reproducible workflow, FAIRification of research components (training, data, web source etc.), support documents for their colleagues, participatory & citizen science - Community/project managers: community-building skills, community development project, collaborative research, training and education opportunity etc. To learn more about the program and process of application, you can check the recording of the application launch call from the previous cohorts on the OLS YouTube channel: https://youtu.be/shM2mVyLjxU For additional details, feel free to reach out to the Open Life Science team at: team(a)openlifesci.org. We are also on social media: - Twitter: https://twitter.com/openlifesci - Linkedin: https://www.linkedin.com/company/openlifesci/ - Youtube channel with open educational resources: https://www.youtube.com/@OpenLifeSci <https://www.youtube.com/@OpenLifeSc>. We look forward to welcoming you in the next cohort. Best wishes, OLS Team

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Call for community review: 2 new neuroscience SBPs
by INCF 26 Jun '23

26 Jun '23

Two calls for community review: 1. Digital SWC Reconstructions Describing Neuron Morphology (SWC) 2. SPARC Data Structure Feedback from the community is an important part of our review process; it helps us ensure that the standard has community support and is useful and practical to the community. By commenting, you contribute to improving the standard for current and future users! 1. Digital SWC Reconstructions Describing Neuron Morphology (SWC) SWC files (file extension of .swc) are text-based (ASCII text) files that describe three-dimensional neuronal or glial morphology. These digital reconstructions represent morphology as a vectorized tree structure, made of a series of connected nodes. An SWC file contains a series of text-based rows where each neuron node is described by a single row of only seven space-separated values. The format is simple and intuitive; a parser of or writer to the format could be implemented by anyone with knowledge of any programming language. With an open archive and freely available structure editor, the SWC system facilitates community-wide pooling of data for building biophysically realistic neuronal models and studying the morphological variation between neurons, contributing to a greater neuroscientific cooperation and openness. Review by Aug 15 Learn more: incf.org/commentaries/swc <https://www.incf.org/commentaries/swc> 2. SPARC Data Structure Financially backed by the NIH Common Fund, SPARC is a large-scale project which aims to deepen our knowledge of nerve-organ interactions. With an initial focus on bioelectronic medicine, the SPARC consortium created the SPARC data structure (SDS), a file and metadata organizational scheme inspired by the Brain Imaging Data Structure (BIDS). This data structure has proven capable of handling complex datasets from multiple and heterogeneous species, measurement techniques, and spatial scales. One of the primary purposes of SDS is to increase the integrity of scientific research by promoting FAIR and open science practices, particularly by facilitating the generation of well-annotated, organized, standardized, and shared biomedical datasets. Review by Aug 15 Learn more: incf.org/commentaries/sparc <https://www.incf.org/commentaries/sparc> Thanks for your help! /The INCF Team

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Computational Neuroscience Postdoc position in New York
by Salvador Dura-Bernal 25 Jun '23

25 Jun '23

A Postdoc position is now available in the Dura-Bernal Lab<http://dura-bernal.org/> at the State University of New York (SUNY) Downstate Health Sciences University (Brooklyn, New York), working on a new exciting multidisciplinary project entitled "Restoring motor function after spinal cord injury using multiscale modeling to decode neural latent dynamics from motor cortex EEG." The position is funded by New York State (NYS) Department of Health (DOH) Spinal Cord Injury Research program. The project aims to improve brain-machine interface decoders by combining multiscale modeling of motor cortex circuits, analysis of low-dimensional neural manifolds associated with behavior, and realistic simulation of EEG signals. See our recent Cell Reports publication describing the multiscale motor cortex model and behavior-related neural manifolds: www.cell.com/cell-reports/fulltext/S2211-1247(23)00585-5<http://dura-bernal.org/www.cell.com/cell-reports/fulltext/S2211-1247(23)005…> For more details and how to apply visit: http://dura-bernal.org/postdoc-2023<https://t.co/aGDh79EjyE> (Please share!) ________________________________ The contents of this email message and any attachments are confidential and are intended solely for the addressee. The information may also be legally privileged. This transmission is sent in trust, for the sole purpose of delivery to the intended recipient. If you have received this transmission in error, any use, reproduction or dissemination of this transmission is strictly prohibited. If you are not the intended recipient, please immediately notify sender by reply email or by (718) 270-HELP.

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Registration for the Bernstein Conference 2023 in Berlin is open now
by Alexander Lammers 23 Jun '23

23 Jun '23

***Registration for the Bernstein Conference 2023 in Berlin is open now*** ___ The Bernstein Conference Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries. www.bernstein-conference.de<http://www.bernstein-conference.de> ___ Important Dates * Bernstein Conference: September 26 - 29, 2023 * Abstract submission for posters: July 19, 2023, 15:00 CEST * Travel grant applications: July 19, 2023 * Early registration: July 19, 2023 ___ Registration Registration for the Bernstein Conference is open now. Register until July 19, 2023, and profit from reduced conference fees. All information: https://bernstein-network.de/bernstein-conference/registration/ ___ Abstract Submission We invite the computational neuroscience community to submit their abstracts. The abstract submission for posters is open until July 19, 2023, 15:00 CEST. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Abstract submission: https://bernstein-network.de/bernstein-conference/abstract-submission/ ___ Travel Grants Students, PhD candidates, and postdocs can apply for travel grants. Travel grant application: https://bernstein-network.de/bernstein-conference/early-career-scientists/t… ___ Invited Speaker Keynote Marlene Cohen (University of Chicago, USA) Invited Talks Tiago Branco (Sainsbury Wellcome Center, UK) Stefano Fusi (Columbia University, USA) Ann Kennedy (Northwestern University, USA) Julija Krupic (University of Cambridge, UK) Wiktor Mlynarski (LMU Munich, Germany / Institute of Science and Technology, Austria) Adrien Peyrache (McGill University, Canada) Kanaka Rajan (Icahn School of Medicine at Mount Sinai, USA) Christopher Summerfield (University of Oxford and Deepmind, UK) Julia Veit (Albert-Ludwigs-Univesität Freiburg, Germany) ___ Conference Committee Robert Gütig (Conference Chair) Tatjana Tchumatchenko (Program Chair) Srdjan Ostojic (Program Vice Chair) Anna Levina (Workshop Chair) Maria Eckstein (Workshop Vice Chair) & Athena Akrami, Ann Hermundstad, Mehrdad Jazayeri, Christian Leibold, Ashok Litwin-Kumar, Ida Momennejad, Nicole Rust, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ___ Contact For any further questions, please contact: bernstein.conference(a)fz-juelich.de<mailto:bernstein.conference@fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens, Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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1 PhD position on: New methods for realistic and comfortable experiences in AR
by Agostino Gibaldi 22 Jun '23

22 Jun '23

We are inviting applications for one fully funded PhD position (3 years) in the Department of Informatics, Bioengineering, Robotics, and Systems Engineering <https://dibris.unige.it/en>, at the University of Genoa (IT), in collaboration with Magic Leap <https://www.magicleap.com/en-us/>. The research theme focuses on realistic and comfortable experiences in Augmented Reality (more info in the attached call for position). Interested applicants are welcome to reach out for more information about the theme and the position. The official call can be found here: https://unige.it/dottorati-di-ricerca You can apply from June 09 at 03.00 pm (italian time) to July 10 at 12.00 noon (italian time) at this page: https://unige.it/en/students/phd-programmes Best, Agostino Gibaldi, PhD Human Vision Scientist Magic Leap *New methods for realistic and comfortable* *experiences in AR – University of Genoa* *Curriculum: *Industry 4.0 *Hosting Institution: *University of Genoa *Department: *Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS) *Tutors:* Silvio P. Sabatini, Andrea Canessa, Gerrit Maus, Agostino Gibaldi *Description:* Optical see-through (OST) augmented reality head-mounted displays (HMD) have emerged as a key asset in several application fields. In OST HMDs the direct view of the world is mostly preserved and there is no perspective conversion in viewpoint and field of view, as with video see-through (VST) systems. This aspect confers a clear advantage over VST solutions, particularly when used to interact with close objects. Although there have been significant improvements to performance and comfort of OST HMDs, limitations associated with human perception still remain to be addressed. In order to provide the user with a realistic, natural and comfortable visual experience, a thorough and accurate knowledge of eye characteristics and HMD geometry must be assumed. These quantities are usually calibrated on a per-device and per-user basis, or modeled from scientific literature. A deviation of the actual values from the expected ones can result in incorrect camera placement, spatial distortions and non-uniformities, thus triggering discomfort in VR/AR. The goal of this research project is to develop methods and techniques to assess and mitigate discomfort and perceptual inconsistencies between real and augmented visual content in OST HMDs. A joint experimental and modeling approach will be followed in order to: 1. investigate methods to evaluate different sources of discomfort/mismatch; 2. develop subjective and objective methods to quantify the originated discomfort; 3. investigate strategies to mitigate the sources of discomfort/mismatch in AR/VR devices. *Requirements:* Applicants are expected to: 1) have a keen interest in Vision Science and in Augmented Reality, 2) have good programming skills in at least one language (Matlab, C/C++, Python, C#), 3) work well in group problem solving situations, 4) have intermediate communication skills (oral and written) in English or better. Experience in Unity 3D is a plus. *References:* [1] Konrad, R., Angelopoulos, A., & Wetzstein, G. (2020). Gaze-contingent ocular parallax rendering for virtual reality. ACM Transactions on Graphics (TOG), 39(2), 1-12 [2] Lambooij, M. T., IJsselsteijn, W. A., & Heynderickx, I. (2007). Visual discomfort in stereoscopic displays: a review. Stereoscopic Displays and Virtual Reality Systems XIV, 6490, 183-195. [3] Gibaldi A., Liu Y., Kaspiris-Rousellis C., Mahadevan M., Vlaskamp B.NS, Maus G.W. Vertical vergence and screen alignment with see-through head-mounted displays. ECVP 2023. *Company name and link (for industrial projects):* Magic Leap Inc. (www.magicleap.com) *Number of positions available: 1* *Main Research Sites* *1.* DIBRIS, via Opera Pia 13, 16145 Genoa, Italy, *2.* Macic Leap Inc., Andreasstrasse 5, 8050 Zürich, Switzerland *Contacts:* Email: silvio.sabatini(a)unige.it, gmaus(a)magicleap.com *Funding Scheme:* This doctorate grant is co-funded by PNRR program DM-117

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[job post] Open PhD positions on neuromorphic perception and control for soft robots
by Chiara Bartolozzi 22 Jun '23

22 Jun '23

We are looking for three PhD fellows interested in developing neuromorphic systems for robots. They will team up to look at the different aspects involved in developing neuromorphic circuits and computation for sensing, perception, and actuation for soft biomimetic robots. We will aim at coupling soft materials, sensory transduction, neuromorphic circuits and computation, and soft actuation, towards the design of robots that can seamlessly and gently interact with their environment. Each PhD will have their own multi-disciplinary research goals and will be co-supervised by leading scientists in the complementary disciplines: Neuromorphic distributed intelligence for soft robots – Computation with spiking neural networks for haptic perception and closed loop control of soft robots – Supervisors: C. Bartolozzi<https://edpr.iit.it/> & B. Mazzolai<https://bsr.iit.it/> Neuromorphic distributed intelligence for soft robots – Design of neuromorphic circuits on flexible substrates for sensing and computation – Supervisors: C. Bartolozzi<https://edpr.iit.it/> & L. Beccai<https://sbrp.iit.it/> Online neuromorphic perception and actuation for robots – Italian Institute of Technology – Supervisors: C. Bartolozzi<https://edpr.iit.it/>, S. Soldado-Magraner<https://bri.ucla.edu/people/saray-soldado-magraner/> & E. Donati<https://services.ini.uzh.ch/people/elisa> Location: Italian Institute of Technology, via San Quirico 19D, Genova, Italy https://iit.it Enrolment: DRIM PhD School @ University of Genova https://drim.i-rim.it/en/ Official call (with guidelines for applications): https://unige.it/en/students/phd-programmes PhD themes description: https://drim.i-rim.it/wp-content/uploads/2023/05/Research-Themes-Hostile-an… - checkout Themes 3,4<https://drim.i-rim.it/wp-content/uploads/2023/05/Research-Themes-Hostile-an…>,5 Deadline for application: June 30th

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CFP - IROS 2023 Workshop on World Models and Predictive Coding in Cognitive Robotics
by nagai.yukie＠mail.u-tokyo.ac.jp 21 Jun '23

21 Jun '23

Dear colleagues, **************************** Call for Posters and Participation Workshop on World Models and Predictive Coding in Cognitive Robotics 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023) **************************** We are inviting contributions to our IROS 2023 workshop. We would like to invite workshop attendees to submit an extended abstract explaining their current work related to world models and predictive coding in cognitive robotics. [ Website ] https://world-model.emergent-symbol.systems/ Contact email: taniguchi(a)em.ci.ritsumei.ac.jp (Tadahiro Taniguchi, Ritsumeikan University) [ Important Dates ] Paper submission deadline: 5th August 2023 Notification of acceptance: 19th August 2023 Camera-ready submission: 10th September 2023 Workshop day: 5th October 2023 [ Call for Contributions ] We encourage researchers to submit 1-2 page extended abstracts or a preprint of relevant work. There is no page limitation for the preprint. Accepted abstracts will be posted on the workshop website and will not appear in the official IEEE proceedings. The reviewing process is single-blind and will be carried out by the workshop organizers. Please submit your extended abstract via the Google form: https://forms.gle/Sw7UtX1ihtq4vpgA9 (The URL is also provided on the website) Accepted papers will have the opportunity to present their work/ideas in a poster session. Additionally, a few select submissions will have the chance to give a short talk, while others will give a flash talk. [ Special Issue ] Furthermore, a selected number of papers from the poster sessions will be invited to submit their novel work to the Special Issue proposed in the journal "Advanced Robotics.” [ Awards ] The Best Cognitive Robotics Paper Award, supported by the Technical Committee of Cognitive Robotics, will be awarded to the best paper. The recipient of the award will receive a prize of $300. [ Objectives ] This workshop will explore new frontiers in robotics, focusing on world models, predictive coding, probabilistic generative models, and the free energy principle. The ultimate goal of cognitive and developmental robotics is to create autonomous robots capable of actively exploring their environment, acquiring knowledge, and continuously learning skills. Crucially, to develop robots that learn through interactions with their environment, their learning processes should emulate human cognitive development and learning, which are based on engagement with the physical and social world. This workshop specifically focuses on world models and predictive coding in cognitive robotics. World models have recently garnered significant interest in artificial intelligence, as cognitive systems utilize these models to improve future sensory predictions and optimize their policies or controllers. In neuroscience, predictive coding posits that the brain constantly anticipates its inputs and adjusts its models to manage dynamics and control behavior in its environment. Both concepts may underlie the cognitive development of robots and humans capable of continuous or lifelong learning. The workshop aims to provide a platform for researchers and practitioners in cognitive robotics to exchange ideas and explore new avenues for the development of autonomous cognitive and developmental robots. This enriching experience will contribute to the growth and advancement of the field of cognitive robotics. [ Invited Speakers ] (planned) Tetsuya Ogata (Waseda University, Japan) Pablo Lanillos (Donders Institute for Brain, Cognition, and Behaviour, Netherlands) Giulio Sandini (Italian Institute of Technology, Italy) Takamitsu Matsubara (NAIST, Japan) Beren Millidge (Conjecture, UK) Danijar Hafner (UC Berkeley, United States) [ Organizers ] Tadahiro Taniguchi, Ritsumeikan University Emre Ugur, Bogazici University Masahiro Suzuki, The University of Tokyo Dimitri Ognibene, Università degli Studi di Milano-Bicocca Lorenzo Jamone, Queen Mary University of London Yukie Nagai, The University of Tokyo Tatsuya Matsushima, The University of Tokyo Tetsunari Inamura, Tamagawa University Best regards, Yukie, on behalf of the organizers — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Feelings: https://cognitive-feeling.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org

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Spanish Return of Talent Programme
by Serafim Rodrigues 21 Jun '23

21 Jun '23

Dear All, Please find below a brief summary of the *“Return of Talent Programme”* launched by the FUNDACIÓN RAMÓN ARECES. The deadline for submission of applications is* 15th October 2023.* v *OVERVIEW OF THE CALL* The aim of this call is to promote an innovative programme for the return of scientists already established abroad, so that they can develop a *relevant* *research project (in any scientific area) for a period of five years in a Spanish public research institution*. v *FUNDING CONDITIONS & DURATION* *DURATION:* *5 years* (the initial duration is 1 year, extendable annually for 4 successive additional years after a favorable evaluation by the Foundation's Scientific Council). *Note:** It must start, at the latest, 12 months after the Call results are published.* *FUNDING:* *1 grant** for the amount of 1.250.000 €* - *1st year:* 40 %. - *2nd and 3rd year:* 20% each year. - *4th and 5th year:* 10% each year. v *ELIGIBILITY & REQUIREMENTS* - *Applicant researchers:* ü *Spanish nationality*. ü *Have been residing and working on scientific projects outside Spain for a period of no less than 5 years* at the time of application. *Note:** time spent abroad (“estancias puntuales en el extranjero”) will not be considered as a period of residence, nor will the provision of services as a volunteer or any other form that does not involve financial remuneration.* ü *To have led or lead a scientific project as PI*. ü *Have a proposal from a Spanish public hospital or research center to carry out a research project.* ü Submit, together with the host institution, a significant research project, with its corresponding objectives, chronology and assessment indicators. ü Submit a declaration of intention to continue the professional activity in Spain at the end of the Programme (provided that the minimum conditions for this are met), in a joint declaration with the host institution. - *Host institutions:* ü *Spanish public hospitals or research centres. IMPORTANT NOTE: Please check the eligibility of your institution before applying.* ü Submit, together with the candidate, a five-year research project at the Spanish center with defined objectives, an established chronology and clear indicators for assessing its progress. ü Specify the contributions that the receiving center will make to support the candidate's project (human and material resources). ü To identify which facilities and laboratory will be specifically dedicated to the Programme (with the name). v *FURTHER INFORMATION* - Results to be published *before the end of 2023*. - Please access the following link for further information on the call: https://www.fundacionareces.es/fundacionareces/es/programa-de-retonorno-del… - Applications must be sent online: https://www.fundacionareces.es/areaprivada/areaprivada/index.html#/login If you are interested, please get in touch with us as we are seeking talent in the area of Mathematical, Computational and Experimental Neuroscience. Sincerely Serafim -- Serafim Rodrigues Ikerbasque Research Professor Mathematical, Computational and Experimental Neuroscience (MCEN) Group Leader *BCAM - *Basque Center for Applied Mathematics Alameda de Mazarredo, 14 E-48009 Bilbao, Basque Country - Spain Tel. +34 946 567 842 srodrigues(a)bcamath.org | www.bcamath.org/srodrigues | www.ikerbasque.net/serafim-rodrigues Old Mathematicians never die They just "tend to infinity" -Anonymous *(**matematika mugaz bestalde)*

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Postdoctoral position Lyon
by DI VOLO MATTEO 21 Jun '23

21 Jun '23

A post-doctoral position is open in computational neurosciences at the Neurobiology of Executive Function lab at the Stem Brain Research Institute in Lyon (https://www.sbri.fr/).The research project aims to understand the neural mechanisms of learning during decision making. The project includes the development of a biophysical model of neuronal networks and neural mass models [1] for decision making and adaptive behaviour. The model will be developed in synergy with data analyses of monkeys electrophysiology data during task performances [2]. The successful candidate will be part of a team with experts in computational/theoretical neurosciences and will benefit from the availability of state of the art recordings at SBRI [2] and, more in general, of the rich neuroscience environment in Lyon. We welcome applicants with diverse scientific backgrounds, including, neuroscience, mathematics, physics, and engineering. We are especially interested in applicants with good programming skills (e.g. Python, C++). If interested, please take contact with Matteo di Volo: matteo.divolo(a)univ.lyon1.fr<mailto:matteo.divolo@univ.lyon1.fr> -- Matteo di Volo Junior Professor Lyon 1 University Stem and Brain Research Institute INSERM https://sbri.fr/public-profile/124/single-member/

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New PhD position at Charité Berlin
by Roshan Rane 21 Jun '23

21 Jun '23

Dear Comp-neuro group, we offer a PhD / PostDoc position (4 years, 100%) at Charité - Universitätsmedizin (Berlin, Germany) in “Machine / Deep Learning in Neuroimaging for Psychiatric Research” in the framework of the TRR 265 "Losing and regaining control over drug intake". Please see the job advertisement below and forward to potential candidates. The advertisement is posted at: https://www.linkedin.com/jobs/view/3625491271/ ____________________________________________________ Job opening: PhD / PostDoc Position (100%, 4 years) “Machine / Deep Learning in Neuroimaging for Psychiatric Research” We are seeking a highly motivated and talented individual to join our research team as a PhD student / Postdoc who would apply machine learning to substance addiction research. The successful candidate will have the opportunity to develop innovative and explainable machine/deep learning algorithms that can identify patterns and predictors of alcohol addiction and cannabis use disorder using structural brain MRI, Ecological Momentary Assessments (EMA), and psychometric questionnaires. A key aspect of this research will be accounting for confounding variables, such as age or comorbidities, to ensure robust and reliable results. This project is part of the TRR265 research consortium (https://www.trr265.org/en) The position will be in the lab of Prof. Dr. rer. nat. Kerstin Ritter (https://psychiatrie-psychotherapie.charite.de/en/research/translation_and_n…) Salary grade: TV-L E13 (100%) Starting date: August 01, 2023, for ~ 4 years Soft application deadline: June 25th, 2023 The position would remain open until filled. Qualifications: - Master’s degree with excellent grades in Computer Science, Data Science, Statistics, Physics, Computational Neuroscience or a related field - Experience with data analysis, visualization, and developing machine learning algorithms - Strong programming skills in Python and PyTorch, and experience working with linux servers and GitHub - Some prior experience with publishing research papers and working independently on open research questions - Excellent written and oral communication skills Ideal additional qualifications: - Familiarity with developing explainable deep learning algorithms and benchmarking model performance - Prior experience with psychiatric research - Prior experience with neuroimaging - Familiarity with analyzing healthcare data such as ecological momentary assessments and psychometric questionnaires -Prior experience with publishing open-source research code To apply, please submit: CV with contact information of 2-3 references Short motivation letter (max 1 page) mentioning the skills you can bring to this project Master’s / PhD degree transcript (if available) Please send your application asap to Roshan Rane (roshan.rane(a)bccn-berlin.de <mailto:roshan.rane@charite.de>) and Kerstin Ritter (kerstin.ritter(a)charite.de <mailto:kerstin.ritter@charite.de>). _____________________________________________ Looking forward to your applications! ---- With warm regards, Roshan Rane

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Call for abstracts: Brain Informatics 2023 in Hoboken New Jersey
by Feng Liu 20 Jun '23

20 Jun '23

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR Abstracts The 16th International Conference on Brain Informatics (BI'23) August 1 - 3, 2023 Hoboken & New York – USA The key theme: Brain Science meets Artificial Intelligence Conference homepage: wi-consortium.org/conferences/bi2023/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *** IMPORTANT DATES *** - 30 Jun 2023: Abstract/workshop proposal Submission Deadline *** Confirmed Keynote Speakers *** - Professor Emery N. Brown Member of the National Academy of Sciences Member of the National Academy of Engineering Member of the National Academy of Medicine MIT, Massachusetts General Hospital, USA - Professor Bin He Fellow of International Academy of Medical and Biological Engineering (IAMBE) Fellow of American Institute of Medical and Biological Engineering (AIMBE) Fellow of Biomedical Engineering Society (BMES), and IEEE Member of the National Academy of Inventors Carnegie Mellon University, USA - Professor John Ngai Director of NIH BRAIN Initiative NIH BRAIN Initiative, USA - Professor Helen Mayberg Member of the National Academy of Sciences Member of the National Academy of Medicine Member of the National Academy of Inventors Member of the American Academy of Arts and Sciences Mount Sinai Medical Center, USA - Professor Vinod Goel Author of monographs: “Sketches of thought” and “Reason and Less: Pursuing Food, Sex, and Politics” York University, Canada - Professor Amy Kuceyeski Director of Computational Connectomics (CoCo) at Weill Cornell Medicine Cornell University, USA - Dr. Grace Hwang Program Director, NINDS, NIH *** Local information *** *The location of the BI2023 in the beautiful campus of Stevens Institute of Technology in Hoboken, New Jersey, located on the west bank of Hudson River overlooking Manhattan. Stevens is close to a group of finest universities such as Princeton University (1.5 hours drive), Columbia University (25 min drive), New York University (20 min drive) and Yale University (1h 40 min drive). *Convenient transportation: (1) Nearby there are three major airports: Newark, JFK, and LaGuardia with direct flights to all major cities in the world. (2) 15 minutes to Time Square by bus. *An economic accommodation option: $100 dorm room option is available in the newly completed University Complex Center Building with a view of Manhattan (limited spaces) ***About the conference*** The International Conference on Brain Informatics (BI) series has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The 16th International Conference on Brain Informatics (BI'23) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. *** Topics and Areas *** The key theme of the conference is "Brain Science meets Artificial Intelligence". The BI'23 solicits high-quality original research and application papers (full paper and abstract presentation submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing Abstract Presentation Submission: Submission link: http://wi-consortium.org/conferences/bi2023/paper%20submissions%20and%20pub… Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 1500 words. Note: The abstract will not be included in the conference proceedings to be published by Springer. Special Issues & Books: Workshop organizers can be invited to contribute a book publication in the Springer-Nature Brain Informatics & Health Book Series ( https://www.springer.com/series/15148) or a special issue at the Brain Informatics Journal. *** Workshop & Special Sessions *** Proposal Submissions: BI'23 will be hosting a series of workshops and special sessions featuring topics relevant to the brain informatics community on the latest research and industry applications. Papers & Presentations: A workshop/special session typically takes a half day (or full day) and includes a mix of regular and invited presentations including regular papers, abstracts, invited papers as well as invited presentations. The paper and abstract submissions to workshops/special sessions will follow the same format as the BI conference papers and abstracts. Proposal Guidelines: Each proposal should include: 1) workshop/special session title; 2) length of the workshop (half/full day); 3) names, main contact, and a short bio of the workshop organizers; 4) brief description of the workshop scope and timeline; 5) prior history of the workshop (if any); 6) potential program committee members and invited speakers; 7) any other relevant information.

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CFP COMPLEX NETWORKS 2023 Menton Riviera France November 28 - 30, 2023
by Hocine Cherifi 19 Jun '23

19 Jun '23

12 th International Conference on Complex Networks & Their Applications Menton Riviera, France November 28 - 30, 2023 COMPLEX NETWORKS 2023 You are cordially invited to submit your contribution until September 02, 2023. SPEAKERS - ● Michael Bronstein University of Oxford UK - ● Kathleen Carley Carnegie Mellon University USA - ● Manlio De Domenico University of Padua Italy - ● Danai Koutra University of Michigan USA - ● Romualdo Pastor-Satorras Univ. Politècnica de Catalunya Spain - ● Tao Zhou USTC China TUTORIALS - ● Tiago de Paula Peixoto CEU Vienna Austria - ● Maria Liakata Queen Mary University of London UK PUBLICATION Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. - ● Papers will be included in the conference proceedings edited by Springer - ● Extended abstracts will be published in the Book of Abstracts (with ISBN) Extended versions will be invited for publication in special issues of international journals: o Applied Network Science edited by Springer o Advances in Complex Systems edited by World Scientific o Complex Systems o Entropy edited by MDPI o PLOS one o Social Network Analysis and Mining edited by Springer SUBMISSION https://complexnetworks.org/submission/ TOPICS Topics include, but are not limited to: o Models of Complex Networks o Structural Network Properties and Analysis o Epidemics o Community Structure o Motifs o Network Mining o Network embedding o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Controllability o Synchronization o Visual Representation o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems o Financial and Economic Networks o Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics o Earth Sciences Applications o Resilience and Robustness of Complex Networks o Networks for Physical Infrastructures o Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks o Graph-Based Natural Language Processing GENERAL CHAIRS Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA) Join us at COMPLEX NETWORKS 2023 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

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Research Associate/PhD (m/f/d) at the Division of Psychological Methods and Statistics, Oldenburg, Germany
by Jörge Minula 19 Jun '23

19 Jun '23

Dear Members, I would like to bring to your attention a PhD position available at the Division of Psychological Methods and Statistics, University of Oldenburg, Germany. For more information about the position and how to apply, please refer to the detailed description provided in the email below. Best regards, Jörge Minula ------------------------------------------------------------------------------------ School VI of Medicine and Health Sciences comprises the fields of human medicine, medical physics and acoustics, neurosciences, psychology and health services research. Together with the four regional hospitals, School VI forms the University Medicine Oldenburg. Furthermore, there is close cooperation with the University Medicine of the University of Groningen. In the organization unit for Psychological Methods and Statistics of the Department of Psychology there is a vacancy for a *Research Associate/PhD (m/f/d) **starting October 2023 *for a limited period of 3 years. There is the possibility of personal scientific qualification (doctorate/post-doctoral thesis). The position is suitable for part-time work. At the Division of Psychological Methods and Statistics we develop and apply multivariate statistical modeling techniques and technologically advanced instrumentation for research in behavioral and health sciences. By means of these tools, applicable to modeling neurometric (EEG, DTI, fMRI, fNIRS) and psychometric data, collected within and outside the lab, we aim to understand individual differences and intraindividual fluctuations in typical and disordered sensory, cognitive and emotional processing and their behavioral outcomes across the lifespan – from neonatal age to late adulthood. The methodological and substantive topics we work at are diverse, but they inspire each other. We are committed to implementing Open Science techniques to foster reproducibility in our research and beyond. The position advertised here will work on structural and functional neuroimaging with the aim of developing advanced methods (complex dynamic networks) for measuring neuromarkers of cognitive sequelae after preterm birth. Tasks include: - Collaboration in teaching (4 LVS) - Research with close links to the research priorities of the working group and the above elaborated topic - Writing scientific papers - Presenting results at scientific conferences - Engaging with Open Science practices and contributing to the Department's Open Science Interest Group ( https://uol.de/stellen?stelle=69636) Recruitment requirements: - Completed scientific university studies (Diploma / Master) in the field of Psychology, Cognitive Neuroscience and related disciplines - Neuroimaging data analysis experience - Robust and broad knowledge of multivariate statistics, including Structural Equation Modeling - Knowledge of standard machine learning tools - Very good programming skills on R and Python Advantageous are: - Knowledge in clinical, personality, social and / or cognitive neuroscience - Very good scientific presentation skills - Prior experience with Open Science practices We offer: - A friendly and diverse work environment - A close mentoring toward an academic career - Payment in accordance with collective bargaining law (special annual payment, company pension scheme, asset-related benefits) incl. 30 days annual leave - Support and guidance during your induction phase - A family-friendly environment with flexible working hours (flexitime) and the possibility of pro-rata mobile work - Benefits from the university's health promotion programme - An extensive free further education programme as well as our own scientific promotion of young academics (https://uol.de/medizin/nachwuchs ) - Salary: E13 TV-L, 100% ( https://lohntastik.de/od-rechner/tv-gehaltsrechner/TV-L/E-13/1) The University of Oldenburg aims to increase the proportion of women in the academic field. Therefore, women are strongly encouraged to apply. According to § 21 para. 3 NHG, female applicants should be given preferential consideration if their qualifications are equivalent. Applicants with disabilities are given preference in the event of equal suitability. For further information, please contact Prof. Dr. Andrea Hildebrandt ( https://uol.de/psychologie/statistik/prof-dr-andrea-hildebrandt) How to apply: Follow the description at https://uol.de/stellen?stelle=69636

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PhD/postdoc position (fully funded) in resource-efficient probabilistic inference
by Luigi Acerbi 16 Jun '23

16 Jun '23

Dear all, I am looking for a postdoc or PhD student in *Resource-Efficient Probabilistic Machine Learning*, to join our group <https://www.helsinki.fi/en/researchgroups/machine-and-human-intelligence> at the Department of Computer Science, University of Helsinki, with applications in model fitting of complex computational models in cognitive science and AI. The position is full-time, funded for 4 years (PhD) or 2+2 years (postdoc) and will be filled as soon as possible, with a starting date in autumn 2023. The starting salary will depend on the position (PhD or postdoc) and previous qualifications and experience. Applications will be considered until the position is filled. *For the full ad:* https://www.helsinki.fi/en/researchgroups/machine-and-human-intelligence/ph… *Brief project description:* The main goal of the project is to extend and improve on our VBMC framework for efficient probabilistic inference with moderately-to-very expensive models, published in multiple papers (e.g., Acerbi, NeurIPS 2018 <https://arxiv.org/abs/1810.05558>; Acerbi, NeurIPS 2020 <https://arxiv.org/abs/2006.08655>), available in MATLAB <https://github.com/acerbilab/vbmc> and recently released for Python <https://github.com/acerbilab/pyvbmc>. We aim to perform Bayesian inference for parameters of complex, expensive state-of-the-art models in fields such as cognitive science and AI. An example is the AI-inspired model of human gameplay from Wei Ji Ma's group (van Opheusden et al., Nature 2023 <https://nature.com/articles/s41586-023-06124-2>). The project includes funding for research visits to international collaborators such as Wei Ji Ma <https://www.cns.nyu.edu/malab/> at New York University and Michael Osborne <https://www.robots.ox.ac.uk/~mosb/> at the University of Oxford. We also have many local collaborators, such as Antti Honkela <https://www.cs.helsinki.fi/u/ahonkela/> for applications of sample-efficient inference to privacy, and our team is highly involved in the thriving & highly collaborative community of probabilistic ML/AI researchers — PhDs, postdocs, PIs — in the Finnish Center for Artificial Intelligence FCAI <https://fcai.fi/>, on top of many ongoing national and international collaborations in cognitive science and computational neuroscience. Best wishes, Luigi -- Luigi Acerbi, Ph.D. Assistant Professor of Machine and Human Intelligence Department of Computer Science, University of Helsinki Lab: http://www.helsinki.fi/machine-and-human-intelligence

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Systems Vision Science Symposium – Program available
by Pavlovic, Maria 15 Jun '23

15 Jun '23

Systems Vision Science Symposium Aug. 22-24, 2023 in Tübingen, Germany The program is now available here: https://summerschool.lizhaoping.org/contributions-for-symposium/ We still have limited space available <https://summerschool.lizhaoping.org/contributions-for-symposium/> registration to the symposium is accepted until space is filled! Presentation topics by the invited speakers will be ® Topics in Systems Vision Science ® The power of two: New perspectives on binocular vision ® Central versus peripheral vision We are pleased to announce our symposium's keynote speaker: Marty Sereno. The keynote speech will be on August 22, 2023 Invited speakers of the Systems Vision Science Summer School and Symposium include: Assaf Breska, Peter Dayan, Andrea van Doorn, Wolfgang Einhäuser-Treyer, Karl Gegenfurtner, Ziad Hafed, Tadashi Isa, Jan Koenderink, Kristine Krug, Hanspeter Mallot, Laurence Maloney, Pascal Mamassian, Antje Nuthmann, Daniel Osorio, Andrew Parker, Jenny Read, Alexander Schütz, Manuel Spitschan, Kristina Visscher, Li Zhaoping. Our symposium takes place at the end of our Systems Vision Science summer school Aug. 14-24, 2023. Please direct inquiries to svs.summerschool(a)tue.mpg.de <mailto:svs.summerschool@tue.mpg.de> -------------------------------- Organizing team: Li Zhaoping Ulf Lüder Maria Pavlovic Junhao Liang Max Planck Institute for Biological Cybernetics University of Tuebingen <http://www.lizhaoping.org> www.lizhaoping.org

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Postdoctoral Fellow Position in Brain Imaging Computing, Lehigh University, USA
by Yu Zhang 15 Jun '23

15 Jun '23

*Postdoctoral Research Fellow Position in Brain Imaging Computing* *Lehigh University, USA* The Brain Imaging and Computation Laboratory (BIC Lab) at Lehigh University has an opening position for Postdoctoral Research Fellow in brain imaging computing. *Position description:* The research projects will focus on developing and applying a variety of machine learning/deep learning methods for brain imaging analysis and prediction. The successful applicants will contribute to research and development in artificial intelligence (AI)-driven neural biomarker discovery using multimodal neuroimaging techniques (e.g., MRI and EEG) for precision medicine of various brain diseases. *Qualifications:* Successful applicants will have a Bachelor’s or Master’s degree in Electrical Engineering, Biomedical Engineering, Computer Science, or other related fields, and strong motivation to do high-quality research in novel brain imaging computing with machine learning. Additionally, strong quantitative skills and a programming background (Python and/or Matlab) are important. Previous research experiences in related fields and scientific publications in journals/conferences are preferred. *Lehigh University:* Lehigh University is a premier research university in the United States, consistently ranked in the top tier of national research universities each year. It is a coeducational, nondenominational, private university that offers a distinctive academic environment for undergraduate and graduate students from across the globe. The University campus is located in Pennsylvania’s scenic Lehigh Valley, with a driving distance of 1 hour to Philadelphia and 2 hours to New York City. *Application:* Interested candidates should send their CV and a cover letter describing research accomplishments and interests to Dr. Yu Zhang at yuzi20(a)lehigh.edu The application materials will be reviewed immediately once received. The starting date for this position is immediate but negotiable. Best regards, Yu Zhang, PhD Assistant Professor Department of Bioengineering Department of Electrical and Computer Engineering Lehigh University Webpage: http://yuzhangresearch.weebly.com/ Email: yuzi20(a)lehigh.edu

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Please share: Call for investigator-led session abstracts!
by INCF 14 Jun '23

14 Jun '23

Hello! INCF is looking for applications to investigator-led sessions at INCF Assembly 2023! Please forward this email or share the following posts with your community through your social media channels, newsletters, or other communication streams: *1. Retweet this post! <https://twitter.com/INCForg/status/1668994420090306561?s=20>* *2. Share this post on Twitter!* *📢Call to present at INCF Neuroinformatics Assembly 2023!📢* *Want to speak in investigator-led talks on FAIR neuroscience? INCF is calling for abstracts! 🧠* *📅 Abstract deadline: Jun 23Submit y* *our abstract today: bit.ly/INCFAssembly2023ILPA <http://bit.ly/INCFAssembly2023ILPA>* *#FAIR #neuroscience #OpenScience* *3. Share this post on your social media channel of choice!* *📢Call to present at INCF Neuroinformatics Assembly 2023!📢* *Want to speak in investigator-led talks on FAIR neuroscience? INCF is calling for abstracts!* *INCF's annual Assembly is a unique venue where neuroscience researchers, tool developers, standards developers, and infrastructure providers can meet with potential collaborators and hear about the latest advancements in neuroinformatics and FAIR neuroscience.* *Abstract deadline: Jun 23* *Submit your abstract today: bit.ly/INCFAssembly2023ILPA <http://bit.ly/INCFAssembly2023ILPA>* Thanks for your help, and see you at Assembly! /The INCF Team

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Bernstein Conference 2023 - Deadline for contributed talks coming up
by Bernstein Communication 14 Jun '23

14 Jun '23

Deadline for contributed talks for the Bernstein Conference 2023 in Berlin is coming up +++ The Bernstein Network Computational Neuroscience invites proposals for contributed talks of the Bernstein Conference 2023 in Berlin. +++ ____ Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. www.bernstein-conference.de ____ IMPORTANT DATES * Bernstein Conference: September 26 - 29, 2023 * Deadline for submission of abstracts to be considered for contributed talks: June 21, 2023 * Deadline for poster abstract submission: July 19, 2023 ____ ABSTRACTS We invite the computational neuroscience community to submit their abstracts: Submitted abstracts can either be considered as contributed talks or posters. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Further information can be found here: https://bernstein-network.de/bernstein-conference/abstract-submission/ ____ INVITED SPEAKERS Keynote Marlene Cohen (University of Chicago, USA) Invited Talks Tiago Branco (Sainsburry Wellcome Center, UK) Stefano Fusi (Columbia University, USA) Ann Kennedy (Northwestern University, USA) Julija Krupic (University of Cambridge, UK) Wiktor Mlynarski (Institute of Science and Technology, Austria / LMU Munich, Germany) Adrien Peyrache (McGill University, Canada) Kanaka Rajan (Icahn School of Medicine at Mount Sinai, USA) Christopher Summerfield (University of Oxford and Deepmind, UK) Julia Veit (Albert-Ludwigs-Univesität Freiburg, Germany) ____ CONFERENCE COMMITTEE Robert Gütig (Conference Chair) Tatjana Tchumatchenko (Program Chair) Srdjan Ostojic (Program Vice Chair) Anna Levina (Workshop Chair) Maria Eckstein (Workshop Vice Chair) & Athena Akrami, Ann Hermundstad, Mehrdad Jazayeri, Christian Leibold, Ashok Litwin-Kumar, Ida Momennejad, Nicole Rust, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens, Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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decision neuroscience postdoc at UL
by Tobias U. Hauser 14 Jun '23

14 Jun '23

Dear all We have a postdoc position at the Max Planck UCL Centre for Computational Psychiatry and Ageing Research and the Wellcome Centre for Human Neuroimaging to fill this summer. The eligible candidate should have a strong background in fMRI and decision making. They will join the developmental computational psychiatry group, working on innovative topics, such as structure learning, complex decision making and mental health. The focus will be on conducting fMRI research with the possibility to do computational modelling. If you are interested, please see the advert here: https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?nPostingId=5227&n… Deadline is the 18th June, approaching quickly! Please reach out in case of questions. Best Tobias -- Play smartphone games and help us understand the brain: www.brainexplorer.net Dr Tobias U. Hauser Sir Henry Dale Fellow, Principal Research Fellow Developmental Computational Psychiatry lab Max Planck UCL Centre for Computational Psychiatry & Ageing Research Wellcome Centre for Human Neuroimaging University College London 10-12 Russell Square London WC1B 5EH +44 207 679 5264 (internal: 45264) t.hauser(a)ucl.ac.uk https://ucl.zoom.us/j/7601915601 www.tobiasuhauser.com www.devcompsy.org

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Open postdoctoral, Ph.D., and research assistant positions in Computational Neuroscience at UCLA
by MARIO DIPOPPA 13 Jun '23

13 Jun '23

Dear colleagues, We seek outstanding applicants who are interested in developing theoretical models to investigate fundamental questions in Computational and Theoretical Neuroscience. The selected candidates will be working on questions addressing how brain computations emerge from the dynamics of the underlying neural circuits and how the neural code is shaped by computational needs and biological constraints of the brain. To tackle these questions, we employ a multidisciplinary approach that combines state-of-the-art modeling techniques and theoretical frameworks, which include but are not limited to data-driven circuit models, biologically realistic deep learning models, abstract neural network models, machine learning methods, and analysis of the neural code. Our research team, the Theoretical and Computational Neuroscience Laboratory, is on the main UCLA campus and enjoys close collaborations with the world-class neuroscience community there. The lab, led by Mario Dipoppa, is a cooperative and vibrant environment where all members are offered excellent scientific training and career mentoring. We have multiple open positions at different levels. For all these positions, we offer competitive salaries and benefits. Postdoctoral positions. We are looking for candidates, who are eager to solve fundamental questions with a creative mindset. Candidates should have a strong publication track record in Computational Neuroscience or a related quantitative field, including but not limited to Computer Science, Machine Learning, Engineering, Bioinformatics, Physics, Mathematics, and Statistics. Candidates holding a Ph.D. degree interested in joining the laboratory as postdoctoral researchers should submit a CV including a publication list, a copy of a first-authored publication, a research statement describing past research and career goals (max. two pages), and contact information for two academic referees. Ph.D. positions. We are looking for candidates with a profound curiosity for exploring novel research directions in Computational Neuroscience. Candidates should have a strong academic track record in a quantitative field. Candidates interested in joining the laboratory as Ph.D. students should first enroll in one of the graduate programs at UCLA. Informal inquiries on the appropriate graduate program are welcome by email. Candidates should attach a CV and a description of their research interest in their inquiries. Research assistant positions. We are looking for candidates with a keen interest in gaining research experience in Computational Neuroscience, pursuing their own projects, and supporting those of other team members. Candidates should have a bachelor's or master's degree in a quantitative discipline and strong programming skills, ideally in Python. Candidates interested in joining the laboratory as research associates should send a CV, a research statement describing past research and career goals (max. one page), and contact information for two academic referees. UCLA is an Affirmative Action / Equal Opportunity Employer (AA/EOE). We strive to promote an inclusive and collaborative work environment. We welcome applications from diverse backgrounds and perspectives. Individuals from underrepresented groups are strongly encouraged to apply. We strongly encourage candidates to apply early as applications will be reviewed until the positions are filled. The positions are available immediately with a flexible starting date. Please submit the application material as a single PDF file with your full name in the file name to mdipoppa(a)g.ucla.edu. Informal inquiries are welcome. For more details visit www.dipoppalab.com. All the best, Mario Dipoppa -- *Mario Dipoppa, PhD* Assistant Professor *University of California, Los Angeles* *Department of Neurobiology* *David Geffen School of Medicine* *https://www.dipoppalab.com <https://www.dipoppalab.com>* *mdipoppa(a)g.ucla.edu <mdipoppa(a)g.ucla.edu>*

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computational neuroscience postdoc position
by Neymotin, Samuel (NKI) 12 Jun '23

12 Jun '23

A postdoctoral scientist position is available at the Nathan Kline Institute (NKI) for Psychiatric Research (https://www.nki.rfmh.org<https://www.nki.rfmh.org/>) to work on computational neuroscience research funded by recently awarded grants. Our NIH-funded project investigates the brain's dynamic circuit motifs underlying internal vs. external-oriented processes in the auditory and interconnected areas, using circuit modeling of the thalamocortical system. In this project, the postdoc will build data-driven biophysical models constrained by data collected from electrophysiology labs at NKI (Noelle O’Connell, Charlie Schroeder) & The Feinstein Institutes for Medical Research (Stephan Bickel), and then use the models to predict optimal neuromodulation strategies testable in vivo. Applicants should have a strong background in: multiscale modeling using NEURON/NetPyNE, Python software development, neural/electrophysiology data analysis, machine learning, and writing/presenting research. To apply, email a CV and cover letter to Sam Neymotin (samuel.neymotin(a)nki.rfmh.org) NKI is an equal opportunity employer. The position requires presence at NKI(Orangeburg, New York), with part-time telecommuting possible. ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation.

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Computational neuroscience, AI and SI: deadlines June 26 and July 26 - National PhD in AI
by Matteo Ferrante 12 Jun '23

12 Jun '23

*Call:* Are you fascinated by the intriguing intersection of Computational Neuroscience and Artificial Intelligence? Do you find yourself captivated by groundbreaking concepts such as neurotech, neuromorphic computing, and many-person neuroscience, among others? Are you intrigued by the vast potential of artificial intelligence in the realm of biomedical data modeling? If yes, we invite you to consider applying for one of the three exciting PhD positions available at the University of Rome Tor Vergata. In our enriching research and training program, you can delve into a wide spectrum of innovative domains ranging from Neurotech to Biomedical imaging and simulation, novel drug delivery systems and neuromodulation technology, physiological systems modeling, the future of AI-based radiation oncology planning, and HCP, among others. The possibilities for exploration, growth, and discovery are limitless, with opportunities to engage in both computational and experimental work tailored to align with your unique profile and interests. *Activities:* We are looking for enthusiastic, result-oriented graduates or postgraduates who are eager to immerse themselves in these pioneering research fields. Join our interdisciplinary team (https://fismed.uniroma2.it/) to contribute to a dynamic environment that thrives on collaboration, teamwork, and intellectual curiosity. As part of our team, you will engage in a range of activities from grant-writing and drafting of scientific publications to occasionally teaching at the university level. Moreover, you'll get the opportunity to collaborate at national and international levels and tackle challenging research problems that span across the physical, mathematical, computational, basic and clinical sciences. We are proud recipients of funding from renowned organizations such as the European Commission (Horizon 2020 and Horizon Europe, EIC), the Italian National Ministry of Health, The Italian Association for Cancer research (AIRC), the US Department of Defense (DOD), and the National Institutes of Health (NIH), as well as private institutions and foundations. *Profile:* You hold a Master's degree in Computational Neuroscience, Artificial Intelligence, Applied Physics, Computer Science, Computer/Electrical Engineering, or a related discipline. You have a robust understanding of dynamical systems theory, computational neuroscience and/or AI. Desirable but not necessary: experience with neuroscience data, control systems, neural differential equations, and other related fields. You have a strong background in mathematics and Python programming skills, and are familiar with advanced machine learning libraries. You are passionate about research and exploration in the field. *Application:* To apply, send a brief motivation letter and a Curriculum Vitae to Prof. Nicola Toschi (toschi(a)med.uniroma2.it) and cc Dr. Andrea Duggento (andrea.duggento(a)uniroma2.eu) More information about our PhD programme at: https://www.phd-ai.it/en/359-2/ We look forward to your expression of interest and potential contribution to the exciting world of Computational Neuroscience and AI! -- Prof. Nicola Toschi https://scholar.google.com/citations?hl=en&user=kyI6AJ8AAAAJ&view_op=list_w… Professor of Medical Physics Medical Physics Section - Department of Biomedicine and Prevention University of Rome "Tor Vergata" Via Montpellier 1 - 00133 Rome (IT) toschi(a)med.uniroma2.it Research Staff, Associate Investigator A.A. Martinos Center for Biomedical Imaging - Harvard Medical School/MGH 149 13th street, 02129 Boston (MA), USA nicola(a)nmr.mgh.harvard.edu

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International SiNAPSA Neuroscience Conference (SNC'23) - September 28th to 30th 2023
by Nina Omejc 09 Jun '23

09 Jun '23

** *Dear colleagues,* * We kindly invite you to participate at the 10th biennial international SiNAPSA Neuroscience Conference (SNC'23), which will take place from September 28th to 30thin the heart of Ljubljana, Slovenia. The conference will cover a wide range of topics in the field of neuroscience, medicine, psychology, and related disciplines. It will feature the latest research contributions that enhance our understanding of brain function and the treatment of neurological disorders. Do not miss the opportunity to engage in knowledge exchange, gain novel insights, and establish connections with esteemed colleagues and leading experts. SNC'23 is supported by the International Brain Research Organization (IBRO), the International Centre for Genetic Engineering and Biotechnology (ICGEB), and the neuroscience societies of neighbouring countries. Distinguished plenary speakers such as Prof. Martin Turner, Prof. Apkar Vania Apkarian, Prof. Jasna Križ, Prof. Daniele Perani and Prof. Aleksej Verkhratsky will enrich the conference program. Furthermore, several events, including the Ljubljana Clinical Neurophysiology Symposium 2023 and the Educational Workshop on Pain <http://www.sinapsa.org/SNC23/workshop/programme>will accompany the main programme <https://www.sinapsa.org/snc23/media/schedule/Schedule-SNC23.pdf>. Junior scientists also have the opportunity to apply for a travel grant <http://www.sinapsa.org/SNC23/call-for-travel-grants>. For further information regarding submissions of poster presentation abstracts, registration, and the programme, please visit our website at https://www.sinapsa.org/SNC23 <https://www.sinapsa.org/SNC23>or contact us at snc23(a)sinapsa.org <mailto:snc23@sinapsa.org>. Important dates: * Abstract submission deadline - June 17th * Deadline for travel grant application - June 17th * Early registration deadline - August 24th Kind regards, Nina Omejc, on behalf of the SNC’23 Programme and Organising Committees *

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[Meetings] Live Demo at IEEE Sensors 2023 conference
by Calogero Maria Oddo 09 Jun '23

09 Jun '23

Dear Colleagues, hereafter, please find a reminder about the possibility to submit Live Demo proposals at the IEEE Sensors 2023 conference. This is an opportunity to demonstrate novel sensing technologies resulting, as an example, from research projects. The IEEE Sensors 2023 conference will be held in Vienna from October 29 to November 1, 2023: https://2023.ieee-sensorsconference.org/ As always, it will be a major discussion forum for new ideas, technologies and applications concerning the topic of sensors. In addition to the presentation of oral and poster papers, an interactive session is available to present prototypes and demonstrators of new ideas: https://2023.ieee-sensorsconference.org/live-demos The operational deadlines are as follows: Paper/Demo proposal: June 18, 2023 Notification of acceptance: August 9, 2023 Final submission: August 30, 2023 Best regards, Calogero Oddo -- Calogero M. Oddo, PhD Associate Professor of Bioengineering https://www.santannapisa.it/en/calogero-maria-oddo https://scholar.google.com/citations?user=y1rffgkAAAAJ&hl=en Head of the Neuro-Robotic Touch Laboratory The BioRobotics Institute and Department of Excellence in Robotics & AI Interdisciplinary Research Center Health Science Sant'Anna School of Advanced Studies, Pisa, Italy https://www.santannapisa.it/en/education/phd-biorobotics http://www.santannapisa.it/en/neuro-robotic-touch-laboratory email: calogero.oddo(a)santannapisa.it<mailto:calogero.oddo@santannapisa.it> While it suits me to email now, I do not expect a reply outside of your own working hours.

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PhD position (deadline June 19th): Learning and Control with Spiking Neural Networks at the Donders Centre for Cognition
by Keemink, S.W. (Sander) 09 Jun '23

09 Jun '23

Are you interested in how our brain is able to so precisely control the body, and adapt to new situations? Would you like to dive deep into current theories for how this works, and develop new ones? Are you either highly interested in modelling the brain, and/or in applying the resulting theories to practical problems? Then this is a PhD position you should apply for. To successfully control the body our brain needs to generate stable states (i.e. keep a hand somewhere), but also full dynamic behaviours (i.e. a full arm swing). The brain does this highly efficiently through networks of spiking neurons - the efficiency and success of which is yet to be reproduced in AI. Crucially, neural activity during dynamic tasks is often observed to lie on lower-dimensional manifolds. Why this is useful, and how networks generate and adapt such activity manifolds, is the subject of many theoretical models but still very much an open question. In this NWO-funded 4-year PhD project, using tools from both AI and neuroscience, you will develop neural networks which produce such low-dimensional manifolds and then use these to learn efficient and effective control. This project is expected to yield more capable AI systems and further our understanding of brain computations. Dependent on your background and interests, the project can either go deep into applying the resulting models to AI control problems, or reproduce and predict neuroscience experiments. You will be supervised by Dr. Sander Keemink and Prof. Marcel van Gerven, and advised by Dr. Nasir Ahmad. The project is hosted at the AI department of the Donders institute, where there are additional opportunities to collaborate with experts in neuroscience, robotics, AI, and other related disciplines. Profile: * You have obtained a Master's degree in Computational Neuroscience, Artificial Intelligence, Applied Physics, Computer Science, Computer/Electrical Engineering, or a related discipline. * You have a strong understanding of dynamical systems theory, and computational neuroscience and/or AI (knowledge of spiking neural networks is a big plus). * Desirable but not essential: experience with neuroscience data, control systems, and/or neural differential equations. * You have an excellent background in mathematics and Python programming skills, and you are familiar with advanced machine learning libraries. * You have a passion for research. Application: For more details, and application form, see here: https://www.ru.nl/en/working-at/job-opportunities/phd-candidate-learning-an… -- Sander Keemink Assistant professor (https://www.ru.nl/en/people/keemink-s) Department of Artificial Intelligence Donders Institute for Brain, Cognition and Behaviour Radboud University, Nijmegen, The Netherlands

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CFP COMPLEX NETWORKS 2023 Menton Riviera France November 28 - 30, 2023
by Hocine Cherifi 09 Jun '23

09 Jun '23

*12* *th **International Conference on Complex Networks & Their Applications* Menton Riviera <https://www.menton-riviera-merveilles.co.uk/>, France November 28 - 30, 2023 COMPLEX NETWORKS 2023 <https://complexnetworks.org/> Please submit your contribution until *September 02, 2023*. *SPEAKERS* · Michael Bronstein <https://www.cs.ox.ac.uk/people/michael.bronstein/> University of Oxford UK · Kathleen Carley <https://www.cylab.cmu.edu/directory/bios/carley-kathleen.html> Carnegie Mellon University USA · Manlio De Domenico <https://manliodedomenico.com/> University of Padua Italy · Danai Koutra <http://web.eecs.umich.edu/~dkoutra/> University of Michigan USA · Romualdo Pastor-Satorras <http://www.fen.upc.edu/~romu/> Univ. Politècnica de Catalunya Spain · Tao Zhou <https://scholar.google.com/citations?user=MXgWgmEAAAAJ&hl=en> USTC China *TUTORIALS* · Tiago de Paula Peixoto <https://skewed.de/tiago> CEU Vienna Austria · Maria Liakata <https://www.turing.ac.uk/people/researchers/maria-liakata> Queen Mary University of London UK *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. · *Papers *will be included in the conference *proceedings edited by Springer* · *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science <https://appliednetsci.springeropen.com/> edited by Springer o Advances in Complex Systems <https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific o Complex Systems <https://www.complex-systems.com/about/> o Entropy <https://www.mdpi.com/journal/entropy> edited by MDPI o PLOS <https://journals.plos.org/plosone/> one <https://journals.plos.org/plosone/> o Social Network Analysis and Mining <https://link.springer.com/journal/13278> edited by Springer *SUBMISSION* https://complexnetworks.org/submission/ *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Epidemics o Community Structure o Motifs o Network Mining o Network embedding o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Controllability o Synchronization o Visual Representation o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems o Financial and Economic Networks o Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics o Earth Sciences Applications o Resilience and Robustness of Complex Networks o Networks for Physical Infrastructures o Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks o Graph-Based Natural Language Processing *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA) Join us at COMPLEX NETWORKS 2023 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

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Open call for postdoctoral applications in areas of Artificial Intelligence, Machine Learning and Cognitive Robotics
by Ajaz Bhat 09 Jun '23

09 Jun '23

Apologies for any cross-posting! Dear all We at the Universiti Brunei Darussalam (UBD) are inviting open applications for postdoctoral positions in various areas including Artificial Intelligence, Machine Learning, Cognition and Cognitive Robotics. As a postdoctoral fellow, you may work on a research theme of your own or join one of my existing research projects. You will also be able to apply for joint grant proposals within UBD. If you are interested in areas of Artificial Intelligence, Machine Learning, Cognition and Cognitive Robotics, please email me your interests and CV at ajaz.bhat [AT] ubd.edu.bn. For more details on the postdoctoral scheme and benefits, please visit https://research.ubd.edu.bn/?page_id=3797 Ajaz A. Bhat, PhD Programme Leader for AI and Robotics, Applied AI and Data Science School of Digital Science (SDS), Universiti Brunei Darussalam (UBD) Web: https://expert.ubd.edu.bn/ajaz.bhat

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Three studentships in biomimetic embodied AI
by Thomas Nowotny 08 Jun '23

08 Jun '23

Dear Comp-Neuro community, We are offering 3 PhD studentships in our unique be.AI doctoral training centre in biomimetic embodied AI (http://www.sussex.ac.uk/ccnr/be_ai) at the University of Sussex in Brighton. Apply online: https://www.sussex.ac.uk/study/phd/apply Full details at https://www.sussex.ac.uk/study/fees-funding/phd-funding/view/1403-Leverhulm…. Kind regards, Thomas -- Prof. Thomas Nowotny Head of AI Research Group CCNR, Sussex Neuroscience Phone: +44-1273-678593 Engineering and Informatics, Fax: +44-1273-877873 University of Sussex, Falmer, Brighton BN1 9QJ sussex.ac.uk/informatics/tnowotny<http://sussex.ac.uk/informatics/tnowotny> <../../owa/redir.aspx?C=9e11bb0e527242938402b42d9b5498ea&URL=http%3a%2f%2fsussex.ac.uk%2finformatics%2ftnowotny> I support the University of Sussex Community Pledge, as I continue to help those around me during the pandemic. Small acts of collaboration, kindness and integrity can make a big difference. www.sussex.ac.uk/community-pledge<http://www.sussex.ac.uk/community-pledge>

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Modellers Workshop for the Brain Dynamics Toolbox (Final Call)
by Stewart Heitmann 08 Jun '23

08 Jun '23

Final call for the Modeller’s Workshop for the Brain Dynamics Toolbox. This is an online course for researchers, students and instructors who wish to build custom dynamical models using the Brain Dynamics Toolbox. The course has a practical focus on programming bespoke models and visualising the dynamics. Topics include Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. Study time is 8 hours. Course Website https://bdtoolbox.teachable.com/p/modellers-workshop Toolbox Website https://bdtoolbox.org Important Information The course is limited to 25 students. Enrolments close Sun 11th Jun 2023.

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Professorship in AI at Bristol University
by Conor Houghton 07 Jun '23

07 Jun '23

The Faculty of Engineering in Bristol University is looking to appoint a professor in AI; this opening isn't specific to computational neuroscience but candidates from the AI / ML part of computational neuroscience or cognitive science would certainly be considered, the Neural Computation group in Bristol are involved in the search and will be part of any discussion about who to appoint. Neural Computation is an important part of the machine learning community in Bristol, we are involve in teaching AI and are recognized as contributing a lot to the research profile of the university in this area. We are very keen that strong candidates for our community consider applying! https://www.bristol.ac.uk/jobs/find/details/?jobId=313360&jobTitle=Professo… The deadline is 25 June. All the best Con ______________________________ Conor Houghton Computer Science, Bristol University. Merchant Vulturers Building, Woodland Road BS8 1UB, Bristol conorhoughton.github.io pronouns: he / him [cid:a899a289-67ea-4622-b7b1-ad158d51af85]

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CFP COMPLEX NETWORKS 2023 Menton Riviera France November 28 - 30, 2023
by Hocine Cherifi 07 Jun '23

07 Jun '23

*12* *th **International Conference on Complex Networks & Their Applications* Menton Riviera <https://www.menton-riviera-merveilles.co.uk/>, France November 28 - 30, 2023 COMPLEX NETWORKS 2023 <https://complexnetworks.org/> You are cordially invited to submit your contribution until *September 02, 2023*. *SPEAKERS* · Michael Bronstein <https://www.cs.ox.ac.uk/people/michael.bronstein/> University of Oxford UK · Kathleen Carley <https://www.cylab.cmu.edu/directory/bios/carley-kathleen.html> Carnegie Mellon University USA · Manlio De Domenico <https://manliodedomenico.com/> University of Padua Italy · Danai Koutra <http://web.eecs.umich.edu/~dkoutra/> University of Michigan USA · Romualdo Pastor-Satorras <http://www.fen.upc.edu/~romu/> Univ. Politècnica de Catalunya Spain · Tao Zhou <https://scholar.google.com/citations?user=MXgWgmEAAAAJ&hl=en> USTC China *TUTORIALS* · Tiago de Paula Peixoto <https://skewed.de/tiago> CEU Vienna Austria · Maria Liakata <https://www.turing.ac.uk/people/researchers/maria-liakata> Queen Mary University of London UK *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. · *Papers *will be included in the conference *proceedings edited by Springer* · *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science <https://appliednetsci.springeropen.com/> edited by Springer o Advances in Complex Systems <https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific o Complex Systems <https://www.complex-systems.com/about/> o Entropy <https://www.mdpi.com/journal/entropy> edited by MDPI o PLOS <https://journals.plos.org/plosone/> one <https://journals.plos.org/plosone/> o Social Network Analysis and Mining <https://link.springer.com/journal/13278> edited by Springer *SUBMISSION* https://complexnetworks.org/submission/ *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Epidemics o Community Structure o Motifs o Network Mining o Network embedding o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Controllability o Synchronization o Visual Representation o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems o Financial and Economic Networks o Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics o Earth Sciences Applications o Resilience and Robustness of Complex Networks o Networks for Physical Infrastructures o Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks o Graph-Based Natural Language Processing *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA)

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Autumn School at Ulster University
by O'Donnell, Cian 06 Jun '23

06 Jun '23

The Intelligent Systems Research Centre (ISRC) from Ulster University, Derry~Londonderry campus is delighted to announce that the international Computational Neuroscience, Neurotechnology and Neuro-inspired AI (ISRC-CN3) Autumn School will be held again for the third time this year. The school will be organised in a hybrid mode, providing facilities for both in-person and online attendees. Supported by the IEEE Computational Intelligence Society, IEEE Brain and other sponsors, this year's Autumn School will run from the 25th October to 31st October, inclusively. The topics covered in the seven-day ISRC-CN3 Autumn School include: * mathematical foundations in neuroscience * computational modelling of neural-glial systems, neuromodulators and cognition * neural data science * neurotechnology * neuromorphic computing and self-repaired intelligent machines * spiking neural networks and applications * cognitive robotics * ethics in neurotechnology and AI * entrepreneurship in neurotechnology and AI This ISRC-CN3 Autumn School is unique not only in the range and types of topics covered but it will also be delivered in an integrated way, from pedagogical to advanced levels. The school is primarily targeted at PhD student level but we also welcome applications from MSc students, postdoctoral researchers, academic faculty, and industrial researchers. Registration is made highly affordable, and bursaries may be available. Academic researchers at the ISRC and invited external speakers will contribute to the delivery of this seven-day School, which will consist of lectures, labs and group projects. Attendees will have the opportunity to present their group work on the final day, and awards will be given to the top presenters. Partial travel bursary will be provided to selected attendees. For more information and application, please visit the website at: https://www.ulster.ac.uk/faculties/computing-engineering-and-the-built-envi… Application for the Autumn School is now opened for both in-person and online attendees. The deadline for in-person application is 20th July 2023 and online application is 15th September. For further information, queries, or sponsorship (and its benefits), please do not hesitate to contact Dr Saugat Bhattacharyya (s.bhattacharyya(a)ulster.ac.uk<mailto:s.bhattacharyya@ulster.ac.uk>). This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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Invitation for Hands-on Tutorial on PyNN at CNS*2023
by CHITARANJAN MAHAPATRA 04 Jun '23

04 Jun '23

*Dear all,* *We are delighted to announce that a half-day tutorial titled "Hands-on Tutorial on PyNN: A Simulator-Independent Language for Building Neuronal Network Models" will be held at the 32nd Annual Computational Neuroscience Meeting (CNS*2023 conference) in Leipzig, Germany. We invite all registered participants to join the tutorial, which will take place on the first day of the meeting, 15 July 2023, just before the main event.* *Computational neuroscientists have developed a diversity of software platforms for simulating neural network models at different scales. However, each simulator has its own programming or configuration language, leading to considerable difficulty in porting models from one simulator to another. A common programming interface to multiple simulators would help to reduce or eliminate the problems of simulator diversity while retaining the benefits. PyNN is such an interface, making it possible to write a simulation script once, using the Python programming language, and run it without modification on any supported simulator (currently including NEURON, NEST, Brian, and the SpiNNaker and BrainScaleS neuromorphic hardware systems).* *Prerequisites:* *Basic familiarity with the Python programming language* *Useful links:* *Main website: https://ebrains.eu/service/pynn/ <https://ebrains.eu/service/pynn/>* *Documentation: http://neuralensemble.org/docs/PyNN/ <http://neuralensemble.org/docs/PyNN/>* *Download: https://pypi.org/project/PyNN/ <https://pypi.org/project/PyNN/>* *Organizers:* *Chitaranjan Mahapatra (Neuroinformatics Group, Paris-Saclay Institute of Neuroscience, CNRS, Paris-Saclay University, France)* *Shailesh Appukuttan (Neuroinformatics Group, Paris-Saclay Institute of Neuroscience, CNRS, Paris-Saclay University, France)* *Andrew Davison (Neuroinformatics Group, Paris-Saclay Institute of Neuroscience, CNRS, Paris-Saclay University, France)* *Speakers/Instructors:* *Chitaranjan Mahapatra, Speaker (Paris-Saclay Institute of Neuroscience, France)* *Nitin Anisetty, Instructor (Indian Institute of Technology Bombay, India)* *We also invite all tutorial participants to create a free EBRAINS account using an institutional email address. By doing so, you will gain complete access to EBRAINS tools and services.* *Best regards,* *Chitraranjan* ------------------------------------------------------------------------------------------------- Chitaranjan Mohapatra

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NEST Conference 2023 - registration deadline: 5 June 2023
by Hans Ekkehard Plesser 02 Jun '23

02 Jun '23

Dear all, This year's NEST Conference will again take place as a virtual conference on Thursday/Friday 15/16 June 2023. You can still register until Monday next week, June 5. More information on the program and how to register can be found on the conference website: https://nest-simulator.org/conference We are looking forward to seeing you all in June! Hans Ekkehard Plesser and the conference organizing committee -- Prof. Dr. Hans Ekkehard Plesser Head, Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

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Spanish Agency of Research (AEI): ATRAE: Seeking Leading Researchers 1 Million Euros/per position
by Serafim Rodrigues 02 Jun '23

02 Jun '23

Dear all, The Spanish Agency of Research (AEI) has recently announced a competitive call for the attraction of senior researchers to Spanish institutions. Up to 25 positions. 1M€ per position. Gross salary 80.000 – 90.000 per year, and permanent position after the grant period 3 for 4 years. https://twitter.com/AgEInves/status/1654139691644403723?s=20 https://www.aei.gob.es/convocatorias/buscador-convocatorias/ayudas-incentiv… Conditions: PhD before Jan 1st, 2016 and have been professionally associated with foreign research organisations for at least 5 years in the period between Jan 1st 2016 and the starting date for the submission of applications. The Basque Center for Applied Mathematics (BCAM, Basque Country) would like to take this opportunity to invite leading researchers (for example ERC level candidates) to apply to BCAM. Interested researchers please contact us. Sincerely Serafim -- Serafim Rodrigues Ikerbasque Research Professor Mathematical, Computational and Experimental Neuroscience (MCEN) Group Leader *BCAM - *Basque Center for Applied Mathematics Alameda de Mazarredo, 14 E-48009 Bilbao, Basque Country - Spain Tel. +34 946 567 842 srodrigues(a)bcamath.org | www.bcamath.org/srodrigues | www.ikerbasque.net/serafim-rodrigues Old Mathematicians never die They just "tend to infinity" -Anonymous *(**matematika mugaz bestalde)*

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Final call for submissions: CogFeel Workshop at ALIFE 2023 (extended deadline: June 06)
by Jie Mei 02 Jun '23

02 Jun '23

*Apologies for cross-posting* We have decided to extend the submission deadline of the CogFeel Workshop from May 26 to June 06. Workshop information: Venue: ALIFE 2023, Sapporo, Japan Submission deadline: June 06 Notification of acceptance: June 13 Workshop date: July 25th, 2023 Title: Cognitive feelings: Towards multi-disciplinary approaches for realizing artificial systems with cognitive capacities Website: https://sites.google.com/view/cogfeel-alife-2023/ Workshop organizers: Jie Mei, International Research Center for Neurointelligence, The University of Tokyo Hiroki Kojima, National Center of Neurology and Psychiatry and The University of Tokyo Yuichi Yamashita, National Center of Neurology and Psychiatry Yukie Nagai, International Research Center for Neurointelligence, The University of Tokyo Summary: In recent years, an increasing number of cross-disciplinary approaches have been proposed to deepen our understanding of living systems and their interactive, evolutionary, and adaptive aspects. However, we have not fully achieved the emergence of intelligence and mind in artificial systems. To facilitate discussions on how cognitive capacities of artificial living systems could be improved and potentially propose a framework for exploring the origin, emergence and evolution of perception and emotions, we are organizing a workshop (CogFeel @ ALIFE 2023: https://sites.google.com/view/cogfeel-alife-2023) in conjunction with the 2023 Conference on Artificial Life (ALIFE 2023). We reinforce the role of cognitive feelings (i.e., feelings about one’s mental processes, encompassing senses of knowing, confidence, reality, and fluency, etc.) as an integrated component contributing to developmental individuality and diversity. We also recognize the difficulty in implementing (subjective) feelings in artificial systems which requires the differentiation whether these systems possess feelings or just behave as so. For a comprehensive perspective on how individual- and population-level diversity in cognitive and behavioral capacities emerges, in this workshop, we encourage discussions on methods and findings in disciplines including but not limited to: - Robotics, - Computational and behavioral neuroscience, - Psychology, - Virtual/augmented reality, and - Artificial intelligence, etc. We welcome submissions on topics within the fields of (neuro)robotics, computational and behavioral neuroscience, psychology, virtual/augmented reality, and artificial intelligence. We also encourage contributions from other relevant disciplines. Submissions should be in the form of extended abstracts (maximum 2 pages) or research articles (maximum 8 pages). We are planning to organize a special issue in partnership with a top academic journal where extended versions of selected contributions will be published. Please submit your contribution to cogfeelalife2023(a)gmail.com. We look forward to seeing you at the CogFeel Workshop!

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PhD / PostDoc position (4 years, 100%) in "ML / DL in Neuroimaging for Psychiatric Research" at Charité - Universitätsmedizin, Berlin
by Kerstin Ritter 01 Jun '23

01 Jun '23

Dear all, we offer a PhD / PostDoc position (4 years, 100%) at Charité - Universitätsmedizin (Berlin, Germany) in “Machine / Deep Learning in Neuroimaging for Psychiatric Research” in the framework of the TRR 265 "Losing and regaining control over drug intake". Please see the job advertisement below and forward to potential candidates. ____________________________________________________ Job opening: PhD / PostDoc Position (100%, 4 years) “Machine / Deep Learning in Neuroimaging for Psychiatric Research” We are seeking a highly motivated and talented individual to join our research team as a PhD student / Postdoc who would apply machine learning to substance addiction research. The successful candidate will have the opportunity to develop innovative and explainable machine/deep learning algorithms that can identify patterns and predictors of alcohol addiction and cannabis use disorder using structural brain MRI, Ecological Momentary Assessments (EMA), and psychometric questionnaires. A key aspect of this research will be accounting for confounding variables, such as age or comorbidities, to ensure robust and reliable results. This project is part of the TRR265 research consortium (https://www.trr265.org/en) The position will be in the lab of Prof. Dr. rer. nat. Kerstin Ritter (https://psychiatrie-psychotherapie.charite.de/en/research/translation_and_n…) Salary grade: TV-L E13 (100%) Starting date: August 01, 2023, for ~ 4 years Soft application deadline: June 25th, 2023 The position would remain open until filled. Qualifications: - Master’s degree with excellent grades in Computer Science, Data Science, Statistics, Physics, Computational Neuroscience or a related field - Experience with data analysis, visualization, and developing machine learning algorithms - Strong programming skills in Python and PyTorch, and experience working with linux servers and GitHub - Some prior experience with publishing research papers and working independently on open research questions - Excellent written and oral communication skills Ideal additional qualifications: - Familiarity with developing explainable deep learning algorithms and benchmarking model performance - Prior experience with psychiatric research - Prior experience with neuroimaging - Familiarity with analyzing healthcare data such as ecological momentary assessments and psychometric questionnaires -Prior experience with publishing open-source research code To apply, please submit: CV with contact information of 2-3 references Short motivation letter (max 1 page) mentioning the skills you can bring to this project Master’s / PhD degree transcript (if available) Please send your application asap to Roshan Rane (roshan.rane(a)charite.de) and Kerstin Ritter (kerstin.ritter(a)charite.de) _____________________________________________ Looking forward to your applications! Thank you, best wishes, Kerstin (Ritter) _______________________________________________ Prof. Dr. rer. nat. Kerstin Ritter (née Hackmack) Juniorprofessor for Computational Neuroscience Department for Psychiatry and Psychotherapy Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany Charitéplatz 1, 10117 Berlin, Germany kerstin.ritter(a)charite.de

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Fw: New conference on subcortical sensory circuits, 2023, EMBL, Germany
by Maria Leite 30 May '23

30 May '23

[Apologies if you receive multiple copies of this Call for Participation] Dear colleagues, we invite you to participate in the Conference on Subcortical sensory circuits: visual, auditory, somatosensory, and beyond Date: November 28- December 1, 2023 Location: EMBL ATC, Heidelberg, Germany Conference website: https://www.embl.org/about/info/course-and-conference-office/events/ssc23-0… This conference will focus on different subcortical circuits involving various sensory modalities and revisit their increasingly complex and interconnected contributions to perception, behavior, and cognition. The meeting will take place at EMBL Headquarters in Heidelberg, Germany, and features many exciting speakers such as keynotes Karel Svoboda, Allen Institute, USA and Sabine Kastner, Princeton University, USA. Abstract Submission: Nearly half of the talks will be selected from the submitted abstracts. The submission can be made by visiting the conference website and the deadline is September 5. Registration: The registration for the conference is already open. Financial Support: Financial assistance in the form of fee waivers and travel grants is available.

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Survey of user experiences in modeling
by Anton Arkhipov 30 May '23

30 May '23

Dear Colleagues, Our NIH BRAIN Initiative-sponsored project (1U24NS124001) is conducting an annual survey of the needs and experiences of users in neuroscience modeling. Would you be so kind to help us by filling out this brief survey? https://www.surveymonkey.com/r/2023NeuralModelingSoftware It will take only 5 minutes, and the results will help guide future development of software and documentation for the community. Whether you use our tools or not, an expert or novice in modeling, we’d love to hear from you! Thank you so much. If you have any questions, please feel free to reach out by email. Best regards, Anton. Anton Arkhipov Investigator E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> [Text Description automatically generated] alleninstitute.org<https://alleninstitute.org> brain-map.org

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Postdoc positions in ML/Neuro at Tübingen University
by Jakob Macke 26 May '23

26 May '23

Dear colleagues, We have several openings for Postdoctoral Researchers to work at the intersection of Machine Learning and Computational Neuroscience funded by the ERC Consolidator Grant “DeepCoMechTome: Using deep learning to understand computations in neural circuits with Connectome-constrained Mechanistic Models“. The goal of DeepCoMechTome is to develop simulation-based machine learning tools that will make it possible to build neural network models that are both biologically realistic and computationally powerful. Some relevant prior work can be found in https://www.biorxiv.org/content/10.1101/2023.03.11.532232v1. We are looking for candidates with a strong quantitative background and PhD in a relevant discipline, ideally in computational neuroscience, machine learning or numerical simulation, a genuine interest in collaborative work at the interface of machine learning and neuroscience, and strong programming skills (ideally Python and relevant deep learning frameworks). Our research group (https://www.mackelab.org <https://www.mackelab.org/>) develops methods in machine learning and artificial intelligence to accelerate scientific discovery, with a particular focus on neuroscience. We aim to provide an interdisciplinary, collaborative and supportive work environment which emphasizes diversity and inclusion. We are embedded in Tübingen’s internationally renowned research community in artificial intelligence and computational neuroscience, including the Cyber Valley Initiative, the Tübingen AI Center, the ELLIS initiative, the Excellence Cluster Machine Learning, the Bernstein Center for Computational Neuroscience, the Hertie Institute for AI in Brain Health and dedicated MSc Programs in Machine Learning and Computational Neuroscience. We are situated in the AI Research Building, in close proximity to the Max Planck Institutes for Intelligent Systems and Biological Cybernetics, and participate in the two International Max Planck Research Schools (IMPRS) `Intelligent Systems’ and`Mechanisms of Mental Function and Dysfunction’. The University of Tübingen is committed to equal opportunity, diversity and inclusion. In case of equal qualification and experience, physically challenged applicants are given preference. The University of Tübingen aims at increasing the share of women in science and highly encourages female scientists to apply. We also explicitly encourage scientists from outside Germany to apply. Please submit your application materials to mls-jobs(a)inf.uni-tuebingen.de <mailto:mls-jobs@inf.uni-tuebingen.de>, including a CV with publication list, a statement of research interests (max. two pages), contact details of two referees, and a link to a code repository (or work samples). Application deadline is June 20, 2023. Candidates are encouraged to send their application material early, as we will start reviewing applications before the deadline. Initial fixed-term contracts will be for 3 years at level E13 TV-L with possible extensions, starting date is flexible. Part-time positions are possible. Hiring is carried out by the Central Administration. For further details and instructions, see www.mackelab.org/jobs <http://www.mackelab.org/jobs>. Best, Jakob Macke Prof. Dr. Jakob Macke Machine Learning in Science; Cluster of Excellence "Machine Learning”, University of Tübingen Adjunct Senior Research Scientist, Department of Empirical Inference; Max Planck Institute for Intelligent Systems Tübingen Director, Bernstein Center for Computational Neuroscience www.mackelab.org <http://www.mackelab.org/>

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Fully funded PhD Opportunity: Brain Dynamics and Motor Skill Learning in Surgery - deadline 8 June 2023
by aomurtag 25 May '23

25 May '23

An exciting PhD studentship position available in the Engineering department at Nottingham Trent University, United Kingdom, for highly competitive candidates with excellent qualifications. Application deadline: 8th of June 2023. Project title: Brain Dynamics and Motor Skill Learning in Surgery The project involves the use of EEG and fNIRS recordings from task performing human subjects and Matlab programming and signal analysis in order to discover patterns related to cognitive load and motor skill. For more information: NTU link: https://lnkd.in/gfbiYQRM Find-a-phd link: https://lnkd.in/gQgPrUiE Application instructions: https://lnkd.in/grUFevV5

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Call for Abstracts for the Bernstein Conference 2023 in Berlin - Contributed talks and posters
by Bernstein Communication 25 May '23

25 May '23

Call for Abstracts for the Bernstein Conference 2023 in Berlin - Contributed talks and posters +++ The Bernstein Network Computational Neuroscience invites proposals for Contributed Talks of the Bernstein Conference 2023 in Berlin. +++ ____ Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. www.bernstein-conference.de ____ IMPORTANT DATES * Bernstein Conference: September 26 - 29, 2023 * Deadline for submission of abstracts to be considered for Contributed Talks: June 21, 2023 * Deadline for poster abstract submission: July 19, 2023 ____ ABSTRACTS We invite the computational neuroscience community to submit their abstracts: Submitted abstracts can either be considered as contributed talks or posters. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Further information can be found here: https://bernstein-network.de/bernstein-conference/abstract-submission/<https://bit.ly/BC_submission> ____ INVITED SPEAKERS Keynote Marlene Cohen (University of Chicago, USA) Invited Talks Tiago Branco (Sainsburry Wellcome Center, UK) Stefano Fusi (Columbia University, USA) Ann Kennedy (Northwestern University, USA) Julija Krupic (University of Cambridge, UK) Wiktor Mlynarski (Institute of Science and Technology, Austria / LMU Munich, Germany) Adrien Peyrache (McGill University, Canada) Kanaka Rajan (Icahn School of Medicine at Mount Sinai, USA) Christopher Summerfield (University of Oxford and Deepmind, UK) Julia Veit (Albert-Ludwigs-Univesität Freiburg, Germany) ____ CONFERENCE COMMITTEE Robert Gütig (Conference Chair) Tatjana Tchumatchenko (Program Chair) Srdjan Ostojic (Program Vice Chair) Anna Levina (Workshop Chair) Maria Eckstein (Workshop Vice Chair) & Athena Akrami, Ann Hermundstad, Mehrdad Jazayeri, Christian Leibold, Ashok Litwin-Kumar, Ida Momennejad, Nicole Rust, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de -- Dr. Dorthe Kaufhold Scientific Management and Coordination Bernstein Network Computational Neuroscience | Bernstein Coordination Site Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9a | 79104 Freiburg, Germany phone: +49 761 203-9589 mail: bernstein.communication(a)fz-juelich.de<mailto:bernstein.communication@fz-juelich.de> web: www.bernstein-network.de<http://www.bernstein-network.de> Twitter: BernsteinNeuro Mastodon: BernsteinNetwork(a)mastodon.world<mailto:BernsteinNetwork@mastodon.world> LinkedIn: Bernstein Network Computational Neuroscience, Germany ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens, Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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PhD position - Model-predictive control of brain plasticity for optimal non-invasive brain stimulation
by Caroline Lea-Carnall 25 May '23

25 May '23

We are looking for a PhD student to come and work with us at the University of Manchester. Please get in touch via the link below if you are interested! About the Project Neuroplasticity is the mechanism that underpins the brain’s ability to learn or recover from traumatic events, but also its deterioration underlies several Neurodegenerative diseases and mental illnesses. It is an umbrella term that encompasses multiple processes occurring at different spatial and temporal scales (1, 2). The most commonly discussed type of plasticity is long-term potentiation (LTP) which is defined as an increase in efficacy between synapses of two neurons. Experiments designed to measure LTP are often done in cell slices or cultures using patch-clamp techniques. However, we often want to promote (and measure) plasticity in humans in-vivo but it is not clear how changes in synaptic efficacy manifest in macroscopic non-invasive imaging measurements such as magnetic resonance imaging (MRI), magnetic resonance spectroscopy (MRS), or electroencephalography (EEG) that are available for use in humans. This project aims to link our detailed cellular-level knowledge of plasticity processes with systems-level observations in humans and is focused on answering the following 2 questions: 1. How can we modulate plasticity non-invasively in the brain? 2. How can we measure plasticity in vivo? To answer these questions you will combine mathematical/computational modelling of biophysically realistic large-scale neural networks that exhibit plasticity with cutting-edge neuroimaging techniques to test the model predictions. The model will be adapted so that its output can be compared to the three major imaging techniques described above and you will determine how changes in connectivity between and within brain regions in the model predict changes in our imaging metrics. There will be a particular focus on developing an EEG marker of plasticity as this currently does not exist. Finally, you will test the model predictions in an imaging study combining brain stimulation, EEG, MRI and MRS in a proof-of-concept experiment in humans. This will provide us with a deeper understanding of how to modulate and measure plasticity that can be deployed in the future for medical applications of brain stimulation such as in Parkinson’s disease, depression and pain control. Link to project: https://www.findaphd.com/phds/project/epsrc-dtp-model-predictive-control-of…

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PhD and postdoc positions to investigate the biophysical basis of neural computation with machine learning
by pedro goncalves 24 May '23

24 May '23

Dear all, Our lab was recently founded at the Neuro-Electronics Flanders (NERF), Belgium. We are currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning. In this context, we are looking for a PhD and a postdoc interested in using computational tools to investigate how the complex biophysics of single neurons gives rise to the dynamics of neural populations. These projects will make use of our previously developed machine learning methods, and depending on the selected candidates' interests, can involve further method development. More details about the positions and the lab can be found at http://jobs.vib.be/j/57438 http://jobs.vib.be/j/57439 Best wishes, Pedro Gonçalves --------------- Pedro Gonçalves Principal Investigator at NERF, a joint research initiative by imec, VIB, and KU Leuven https://goncalveslab.sites.vib.be/en

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Information theory workshop at CNS*2023 -- call for contributed talks
by Joseph Lizier 23 May '23

23 May '23

Dear all, We are pleased to announce that the Workshop on Methods of Information Theory in Computational Neuroscience<https://bit.ly/cns2023itw> will be held once again at the 32nd Annual Computational Neuroscience Meeting (CNS*2023<http://www.cnsorg.org/cns-2023> conference), in Leipzig, Germany. The workshop will be held during sessions over the final two days of the main conference, July 18 and 19, 2023. Our confirmed speakers so far include the following: * Jürgen Jost, Max Planck Institute for Mathematics in the Sciences, Leipzig * Sarah Marzen, Claremont Colleges, USA * Demian Battaglia, University of Strasbourg * Marilyn Gatica, University of Nottingham * Pedro Mediano, Imperial College London * Nadine Spychala, Univeristy of Sussex * Andreas C. Schneider, Max Planck Institute for Dynamics and Self-Organization, Göttingen * ... more TBA! We would like to <https://abzinger.github.io/202307-CNS2023-ITW.html#call> call for further contributions<https://bit.ly/cns2023itwcall> of talks. If you are interested in contributing a talk, please send a title and abstract to Abdullah Makkeh (abdullah.alimakkeh(a)uni-goettingen.de<mailto:abdullah.alimakkeh@uni-goettingen.de>). Earlier submissions and those from female/minority speakers will be prioritised. Please pay attention to the registration for CNS*2023 (deadlines and fees) as workshop registration at least is required for attendance, and see our website https://bit.ly/cns2023itw for more details. We hope you will join us there! Organising Committee: Abdullah Makkeh (co-chair) Michael Wibral (co-chair) Joseph Lizier Pedro Mediano

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CfP: The 16th International Conference on Brain Informatics (BI'23)
by Feng Liu 22 May '23

22 May '23

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS The 16th International Conference on Brain Informatics (BI'23) August 1 - 3, 2023 Hoboken & New York – USA The key theme: Brain Science meets Artificial Intelligence Conference homepage: wi-consortium.org/conferences/bi2023/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *** IMPORTANT DATES *** - 24 May 2023: Full Paper Submission Deadline - 01 Jun 2023: Abstract Submission Deadline *** Confirmed Keynote Speakers *** - Professor Emery N. Brown Member of the National Academy of Sciences Member of the National Academy of Engineering Member of the National Academy of Medicine MIT, Massachusetts General Hospital, USA - Professor Bin He Fellow of International Academy of Medical and Biological Engineering (IAMBE) Fellow of American Institute of Medical and Biological Engineering (AIMBE) Fellow of Biomedical Engineering Society (BMES), and IEEE Member of the National Academy of Inventors Carnegie Mellon University, USA - Professor John Ngai Director of NIH BRAIN Initiative NIH BRAIN Initiative, USA - Professor Helen Mayberg Member of the National Academy of Sciences Member of the National Academy of Medicine Member of the National Academy of Inventors Member of the American Academy of Arts and Sciences Mount Sinai Medical Center, USA - Professor Vinod Goel Author of monographs: “Sketches of thought” and “Reason and Less: Pursuing Food, Sex, and Politics” York University, Canada - Professor Amy Kuceyeski Director of Computational Connectomics (CoCo) at Weill Cornell Medicine Cornell University, USA - Dr. Grace Hwang Director, NINDS, NIH *** Local information *** *The location of the BI2023 in the beautiful campus of Stevens Institute of Technology in Hoboken, New Jersey, located on the west bank of Hudson River overlooking Manhattan. Stevens is close to a group of finest universities such as Princeton University (1.5 hours drive), Columbia University (25 min drive), New York University (20 min drive) and Yale University (1h 40 min drive). *Convenient transportation: (1) Nearby there are three major airports: Newark, JFK, and LaGuardia with direct flights to all major cities in the world. (2) 15 minutes to Time Square by bus. *An economic accommodation option: $100 dorm room option is available in the newly completed University Complex Center Building with a view of Manhattan (limited spaces) ***About the conference*** The International Conference on Brain Informatics (BI) series has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The 16th International Conference on Brain Informatics (BI'23) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. *** Topics and Areas *** The key theme of the conference is "Brain Science meets Artificial Intelligence". The BI'23 solicits high-quality original research and application papers (full paper and abstract presentation submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing ***Journal Opportunities*** High quality BI conference papers may be nominated to submit an extended version for a fast track review and publication at the Brain Informatics Journal (https://braininformatics.springeropen.com/) an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. Real-time Journal's Impact Factor: 8.5. *** Paper Submission and Publications *** Submission link: http://wi-consortium.org/conferences/bi2023/paper%20submissions%20and%20pub… 9-12 pages are encouraged for the regular papers including figures and references in Springer LNCS Proceedings format ( https://www.springer.com/us/computer-science/lncs/conference-proceedings-gu…) Overlength pages will be charged 200$ per page. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all workshop & special sessions' full length papers) will be published by Springer as a volume of the Springer-Nature LNAI Brain Informatics Book Series ( https://link.springer.com/conference/brain) Abstract Presentation Submission: Submission link: http://wi-consortium.org/conferences/bi2023/paper%20submissions%20and%20pub… Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 1500 words. Note: The abstract will not be included in the conference proceedings to be published by Springer. Special Issues & Books: Workshop organizers can be invited to contribute a book publication in the Springer-Nature Brain Informatics & Health Book Series ( https://www.springer.com/series/15148) or a special issue at the Brain Informatics Journal. *** Workshop & Special Sessions *** Proposal Submissions: BI'23 will be hosting a series of workshops and special sessions featuring topics relevant to the brain informatics community on the latest research and industry applications. Papers & Presentations: A workshop/special session typically takes a half day (or full day) and includes a mix of regular and invited presentations including regular papers, abstracts, invited papers as well as invited presentations. The paper and abstract submissions to workshops/special sessions will follow the same format as the BI conference papers and abstracts. Proposal Guidelines: Each proposal should include: 1) workshop/special session title; 2) length of the workshop (half/full day); 3) names, main contact, and a short bio of the workshop organizers; 4) brief description of the workshop scope and timeline; 5) prior history of the workshop (if any); 6) potential program committee members and invited speakers; 7) any other relevant information

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Open position: Postdoctoral position in Human Visual Psychophysics with fMRI/MRI, Tuebingen, Germany
by Pavlovic, Maria 22 May '23

22 May '23

Postdoctoral position in Human Visual Psychophysics with fMRI/MRI, (m/f/d) (TVöD-Bund E13, 100%) The Department of Sensory and Sensorimotor Systems (PI Prof. Li Zhaoping) at the Max Planck Institute for Biological Cybernetics and at the University of Tübingen is currently looking for highly skilled and motivated individuals to work on projects aimed towards understanding visual attentional and perceptual processes using fMRI/MRI. The framework and motivation of the projects can be found at: <https://www.lizhaoping.org/zhaoping/AGZL_HumanVisual.html> https://www.lizhaoping.org/zhaoping/AGZL_HumanVisual.html. The projects can involve, for example, visual search tasks, stereo vision tasks, visual illusions, and will be discussed during the application process. fMRI/MRI technology can be used in combination with other methods such as eye tracking, TMS and/or EEG methodologies, and other related methods as necessary. The postdoc will be working closely with the principal investigator and other members of Zhaoping's team when needed. Responsibilities: * Conduct and participate in research projects such as lab and equipment set up, data collection, data analysis, writing reports and papers, and presenting at scientific conferences. * Participate in routine laboratory operations, such as planning and preparations for experiments, lab maintenance and lab procedures. * Coordinate with the PI and other team members for strategies and project planning. * Coordinate with the PI and other team members for project planning, and in supervision of student projects or teaching assistance for university courses in our field. Requirements: * Ph.D. in neuroscience, psychology, computer science, physics or a related natural science or engineering field. * Publications in peer-reviewed journals. * Highly skilled in techniques of human visual psychophysics such as eye tracking, MATLAB programming for experiments, experimental data taking, data analysis, and paper writing. * Highly skilled in fMRI experiments and data analysis. * Experience in project management is highly desired. * Strong command of English; knowledge of German is a plus. Who we are: We use a multidisciplinary approach to investigate sensory and sensory-motor transforms in the brain (www.lizhaoping.org <http://www.lizhaoping.org> ). Our approaches consist of both theoretical and experimental techniques including human psychophysics, fMRI imaging, EEG/ERP, and computational modelling. One part of our group is located in the University, in the Centre for Integrative Neurosciences (CIN), and the other part is in the Max Planck Institute (MPI) for Biological Cybernetics as the Department for Sensory and Sensorimotor Systems. You will have the opportunity to learn other skills in our multidisciplinary group and benefit from interactions with our colleagues in the university, at MPI, as well as internationally. This job opening is for the CIN or the MPI working group. The position (salary level TVöD-Bund E13, 100%) is for a duration of two years. Extension or a permanent contract after two years is possible depending on situations. We seek to raise the number of women in research and teaching and therefore urge qualified women to apply. Disabled persons will be preferred in case of equal qualification. Your application: The position is available immediately and will be open until filled. Preference will be given to applications received by July 31th, 2023. We look forward to receiving your application that includes (1) a cover letter, including a statement on roughly when you would like to start this position, (2) a motivation statement, (3) a CV, (4) names and contact details of three people for references, (5) if you have them, transcripts from your past and current education listing the courses taken and their grades, (6) if you have them, please also include copies of your degree certificates, (7) you may include a pdf file of your best publication(s), or other documents and information that you think could strengthen your application. Please use pdf files for these documents (and you may combine them into a single pdf file) and send to jobs.li(a)tuebingen.mpg.de <mailto:jobs.li@tuebingen.mpg.de> , where also informal inquiries can be addressed. Please note that applications without complete information in (1)-(4) will not be considered, unless the cover letter includes an explanation and/or information about when the needed materials will be supplied. For further opportunities in our group, please visit <https://www.lizhaoping.org/jobs.html> https://www.lizhaoping.org/jobs.html _________________________________ Maria Pavlovic Assistant to Prof. Zhaoping Li Office Hours: 07.00-13.00 Max Planck Institute for Biological Cybernetics Max-Planck-Ring 8 D-72076 Tuebingen phone +49 7071 601 609 fax +49 7071 601 619 <mailto:maria.pavlovic@tuebingen.mpg.de> maria.pavlovic(a)tuebingen.mpg.de <http://www.lizhaoping.org/> www.lizhaoping.org

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Modellers Workshop for the Brain Dynamics Toolbox
by Stewart Heitmann 21 May '23

21 May '23

Enrolments for the Modeller's Workshop are now open Master the art of programming differential equations in Matlab with the Brain Dynamics Toolbox. This online course is for researchers, students and instructors who wish to use the toolbox to build their own dynamical models. Every step of the process is demonstrated in a short video lecture with a practical focus on programming techniques. Topics include programming Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. Study time is 8 hours. Course Website https://bdtoolbox.teachable.com/p/modellers-workshop Toolbox Website https://bdtoolbox.org Important Information The course is limited to 25 students. Enrolments close Sun 11th Jun 2023. Textbook Heitmann & Breakspear (2022) Handbook for the Brain Dynamics Toolbox: Version 2022. ISBN 978-0-6450669-2-0. Disclaimer The information contained in this communication from the sender is confidential. It is intended solely for use by the recipient and others authorized to receive it. If you are not the recipient, you are hereby notified that any disclosure, copying, distribution or taking action in relation of the contents of this information is strictly prohibited and may be unlawful. This email has been scanned for viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business. Providing a safer and more useful place for your human generated data. Specializing in; Security, archiving and compliance. To find out more visit the Mimecast website.

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Faculty positions (all ranks) in computational neuroscience at Claremont McKenna College
by Ran.Libeskind-Hadas＠claremontmckenna.edu 21 May '23

21 May '23

Claremont McKenna College’s new Kravis Department of Integrated Sciences (KDIS) seeks faculty members in computational neuroscience who are interested in teaching and mentoring undergraduates. CMC is a liberal arts college that places a strong emphasis on creative pedagogies and involving undergraduates in research. The KDIS faculty will contribute to building an innovative and transformational undergraduate science program organized around three challenges: Health (Genomics, Systems Biology, and Health), Brain (Brain, Learning, and Decision Sciences), and Planet (Climate, Energy, and the Environment). The KDIS faculty will have a key role in developing and implementing a program that will serve as an incubator for new approaches and foster a culture of inclusion, creativity, and continuous improvement. For more information on the department, the college, and applying for our positions, please see our posting on Academic Jobs Online: https://academicjobsonline.org/ajo/jobs/24816

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Postdoc position in computational neuroscience / decision making, CRM Barcelona
by Klaus Wimmer 19 May '23

19 May '23

Post-doctoral Position in Computational Neuroscience Wimmer Lab, Centre de Recerca Matemàtica, Barcelona, Spain We are currently seeking a postdoctoral researcher to join the Computational Neuroscience Group at the Center for Research in Mathematics (CRM) in Barcelona, Spain (https://www.crm.cat/computational-neuroscience/) Under the supervision of Klaus Wimmer, this position offers an exciting opportunity to combine computational modeling, psychophysics, and EEG to study the computational mechanisms underlying flexible evidence integration in perceptual decision making. Candidates should possess a strong computational background, a keen interest in neuroscience, and hold a PhD in computational neuroscience, cognitive neuroscience, physics, mathematics, or a related field. Experience in designing psychophysical experiments, neuroimaging, and/or developing computational models, computational neuroscience and machine learning is required. The successful candidate will benefit from the vibrant scientific environment of Barcelona, particularly in Theoretical and Systems Neuroscience. Our lab is part of a collaborative network of neuroscience research groups in Barcelona (http://www.barccsyn.org) APPLICATION: Interested applicants are encouraged to promptly email kwimmer(a)crm.cat<mailto:kwimmer@crm.cat> with their CV and motivation letter. STARTING DATE: The position is available immediately, and applications will be reviewed on a rolling basis until the position is filled. Best regards, Klaus Wimmer CONFIDENTIALITY AND PRIVACY NOTICE: This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction. We inform you that the personal data contained in this document, and in particular your contact information and professional position, are protected in accordance with current legislation on the protection of personal data. Centre de Recerca Matemàtica (CRM) will process the data only for the purpose of managing the relationship you have with us. The data will be kept while the purpose for which it was collected remains. You can exercise at any time your rights to access, rectification and erasure of your personal data, as well as the right to object and restriction of processing. For this, you must contact CRM by email to dpo(a)crm.cat.

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Postdoctoral Position at the Paris Brain Institute (ICM), Paris, France
by BACCI Alberto 19 May '23

19 May '23

!!! JOB ALERT !!! Postdoctoral Position at the Paris Brain Institute (ICM), Paris, France A Postdoctoral position is available at the ICM - Paris Brain Institute in the group of Alberto Bacci. The ICM is in the heart of Paris, France, part of the Pitié-Salpétrière Hospital, and has a vibrant, multidisciplinary, and internationally recognized neuroscience community. The Project: Our research mainly focuses on the cellular physiology of various elements of cortical microcircuits, the properties and plasticity of their synaptic connections and their contribution to the generation of various cognition-relevant network activities . Through our collaborators, we also study cortical circuit deficits in several animal model of brain disease. The lab uses a combination of single and multiple-cell electrophysiology, 2-photon imaging and electrophysiology in vivo, pharmacology, anatomy, immunocytochemistry, optical manipulations of specific neuron types and computational approaches (through established collaborations). Check our lab website for details and publications: http://baccilab.org/ The successful candidate will work on inhibitory circuits of the prefrontal cortex of mice. In particular, s/he will study the properties and plasticity of synapses connecting a rich diversity of prefrontal cortical neuron subtypes. The successful candidate will also perform and analyze electrophysiological recordings in vivo, using high-density probes. This project is funded by an ERA-Net NEURON international consortium and is focused on the rich diversity of GABAergic interneurons and how they affect the functional states of prefrontal cortical networks in healthy and diseased states. Your Profile: . Applicants must have a background in neuroscience. They must hold (or are expected to complete soon) a Ph.D. or equivalent degree in biology, medicine, physics or bioengineering. . Excellent verbal and written communication skills in English are required. . Experience with in vivo electrophysiology, imaging and/or computational neuroscience is required. . Coding knowledge is required. Applications must consist of a single pdf file and must be sent to alberto.bacci(a)icm-institute.org (subject line must be: Postdoc Application Bacci; DS) Please include: Curriculum Vitae (CV) 1 page summary of previous research Brief statement of current research interest Contact information of at least two referees Highly motivated candidates are encouraged to apply. Applications will be reviewed until the position is filled. Contact Information: Alberto Bacci, Ph.D. ICM - Institut du Cerveau | Paris Brain Institute Sorbonne Université CNRS UMR 7225 - INSERM U1127 Groupe Hospitalier Pitié Salpêtrière 47 Boulevard de l'Hopital 75013 Paris France phone: +33 1 5727 4062 email: alberto.bacci(a)icm-institute.org http://baccilab.org/

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SPARC FAIR Codeathon August 5-7, 2023: projects submission open
by Elisabetta Iavarone 17 May '23

17 May '23

Dear all, The SPARC Data and Resource Center (DRC) invites you to submit your project ideas for the three-day in-the-cloud SPARC FAIR codeathon occurring later this summer (August 5-7, 2023), with a total prize pool of US$50,000! The DRC is developing key technology to enable not only open sharing of FAIRly produced data, but also surfacing relationships and connections that bridge organs, experimental approaches and other relevant information to bring focus to the peripheral and autonomic nervous system. In this codeathon, we are looking for exciting projects which use SPARC data and/or SPARC tools <https://sparc.science/>and resources in novel ways, particularly in helping to visualize, enhance, demonstrate, or measure the findability, accessibility, interoperability, or reusability (FAIRness) of the data. Visit our website ( https://sparc.science/news-and-events/events/2023sparc-codeathon) for more details and explore examples of previous codeathon projects here <https://sparc.science/resources/software?type=codeathon>. <https://sparc.science/help/2022-sparc-fair-codeathon#fair-codeathon-faqs> This interactive event is open to participants at every skill level (including PIs!) from any country. Right now, we want your ideas for codeathon projects. Please submit your SPARC Codeathon proposals by June 8, 2023 to the submission site <https://forms.gle/JnK4pjoNPxU69WoP7>. The codeathon is free to participate in, participants need only have access to their own computer and reliable internet access. Elisabetta Iavarone, On behalf of the SPARC FAIR Codeathon team

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Upcoming course from INCF: Introduction to Neuroinformatics
by INCF 16 May '23

16 May '23

Please share this with your networks! Upcoming INCF Short Course: Introduction to Neuroinformatics Location: University of Washington, Seattle, WA, USA Dates: October 2-4 Application deadline: Jun 15 50% discount for INCF members! The course will teach neuroscientists and researchers from related fields about neuroinformatics: the science & engineering of brain data. The topics covered will range from theoretical background to methodological innovations in the field and their applications, as well as socio-technical issues related to data sharing, applications of neuroinformatics to clinical questions, and compliance with sharing mandates. Learn more: bit.ly/INCFcourse2023 Register here: bit.ly/INCFcourse2023reg

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Workshop: Neural fields equations, from Wilson-Cowan to neural engineering, Paris, June 19-20th 2023
by Antoine 16 May '23

16 May '23

Workshop: Neural fields equations, from Wilson-Cowan to neural engineering Paris, France, June 19-20th 2023 https://nfwparis2023.sciencesconf.org <https://nfwparis2023.sciencesconf.org/> We are pleased to announce the workshop: "Neural fields equations, from Wilson-Cowan to neural engineering" to be held at Laboratoire Jacques-Louis Lions, in the center of Paris, on June 19-20th 2023. An abstract is provided below. Invited speakers: - Stephen Coombes (University of Nottingham, UK) - Romain Veltz (Inria Center of University Côte d'Azur, FR) - Axel Hutt (Inria MIMESIS, FR) - Marcelo Bertalmio (Spanish National Research Council, ES) - Frédéric Chavane (Institute de neurosciences de la Timone, FR) - Alain Destexhe (CNRS-NeuroPSI, FR) - Alessio Franci (University of Liège, BE). Registration is free but mandatory. Few selected talks will be added to the program, based on abstract submission (deadline: June 1st). Workshop abstract: The modeling of collective behavior within a neuronal population, initiated by the pioneering work of Wilson and Cowan, has been a great source of inspiration in the computational neuroscience community. Indeed, the focus on the overall neuronal activity of a brain structure, rather than on the detailed evolution of the electric response of single neurons, allows to adequately model a vast range of brain functions and opens the door to a mathematical understanding of the processes involved. Moreover, the spatio-temporal version of this model, known as neural fields, allows one to consider spatial heterogeneity within a cerebral structure, at the price of more demanding analysis tools. Neural fields have been used in the investigation of a wide range of applications, including the modeling of sensory cortices, cognition, human-robot interaction, self-organizing maps, visual hallucinations, and deep brain stimulation. Despite great advances made on the mathematical understanding of these models, research on these models still progresses in several directions, including: - finer analysis of their behavior in a non-local regime - parameter identification based on experimental data - controllability analysis, e.g., to understand how to affect the dynamics via external stimulation - observability analysis, e.g., to determine the optimal sensor-placement strategy allowing to reconstruct the overall dynamics The aim of this workshop is to gather researchers from different fields (neuroscience, physics, mathematics, control engineering, computer science) to discuss the most recent advances on Wilson-Cowan and neural fields models and instill new collaboration opportunities on this topic. We look forward to seeing you there ! The organizers: Antoine Chaillet, Luca Greco, Dario Prandi

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Late-breaking poster abstract submission for the 32nd Annual Computational Neuroscience Meeting (CNS*2023)
by Rubchinsky, Leonid L 14 May '23

14 May '23

We are inviting abstracts for the late-breaking poster-only presentations at the 32nd Annual Computational Neuroscience Meeting (CNS*2023) in Leipzig, Germany, July 15-19, 2023. Late-breaking poster presentation abstracts can be submitted between May 17 and June 15. Note that one of the authors must register as a sponsoring author for the main meeting before abstract submission. Submitted abstracts are used for creating the program and for publication. Please follow the formatting guidelines on the submission site. Registration: https://ocns.memberclicks.net/cns-2023-registration Abstract submission: https://www.cnsorg.org/cns-2023-abstract-submission CNS*2023 information: https://www.cnsorg.org/cns-2023 With kind regards, Leonid Rubchinsky OCNS Vice President *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Purdue University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin(a)iupui.edu http://www.math.iupui.edu/~lrubchin ***********************

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PhD or Postdoctoral Researcher in Bio-inspired, Model-Based Reinforcement Learning
by Grewe Benjamin Friedrich 12 May '23

12 May '23

PhD or Postdoctoral Researcher in Bio-inspired, Model-Based Reinforcement Learning Location: Institute of Neuroinformatics and ETH AI Center, ETH Zurich, Switzerland Start Date: As early as July 1, 2023 The Grewe lab (www.grewelab.org <http://www.grewelab.org/>) at the Institute of Neuroinformatics (www.ini.uzh.ch <http://www.ini.uzh.ch/en.html>) and the ETH AI Center (ai.ethz.ch) at ETH Zurich invites applications for a PhD or Postdoctoral position in the area of bio-inspired, model-based reinforcement learning. We are particularly interested in candidates who can contribute to our ongoing research endeavors to understand and model the complex and dynamic patterns of neuronal activity inspired by how the brain operates and solves tasks. Research Background: Our lab's research focuses on understanding how the brain alters its internal neuronal activity patterns that encode information across large neuronal ensembles to facilitate learning. We are particularly interested in the mechanisms underlying changes in network information processing related to learning a model of the external world. Given the inherent complexity, unreliability, and multidimensionality of neuronal activity patterns in the brain, this is a challenging endeavor. To better understand learning in the brain we employ in in vivo brain recording methods in mice (eg. mini-scopes) to characterise learning-induced changes in neuronal ensemble activity (RL in mice). Simultaneously, we develop biologically-inspired multi-layer (deep) artificial neuronal network models (ANNs) that mimic the information processing and storage capabilities observed in real biological networks (e.g. to solve an RL problem). We place significant emphasis on reverse-engineering neuronal network function at a very abstract level and on understanding the fundamental principles that determine learning-induced changes in neuronal networks (biological and artificial). Role Description: As a PhD or Postdoctoral fellow, you will be tasked with developing and implementing innovative bio-inspired, model-based reinforcement learning algorithms. Your role will involve close collaboration with a multidisciplinary team of neuroscience and machine learning researchers at the Institute of Neuroinformatics and the ETH AI Center respectively. Key Responsibilities: Design and implement bio-inspired, model-based reinforcement learning algorithms. Conduct/simulate RL experiments and analysis to test and refine these algorithms. Collaborate with a multidisciplinary team to advance our collective research goals. Present research findings at internal and external meetings and conferences. Contribute to the broader academic community through peer review and other service roles. Essential Qualifications: MSc or Ph.D. in Theoretical Neuroscience, Computer Science, Artificial Intelligence, or a closely related field (e.g. Physics). Some background in reinforcement learning, ideally model-based methods. Familiarity with bio-inspired neuronal network approaches to machine learning. Proven track record demonstrated by publications in reputable journals (PD only). Excellent written and verbal communication skills in English. Desirable Qualifications: Experience with computational or theoretical neuroscience and bio-inspired deep learning methods. Proficiency in programming languages commonly used in AI research (e.g., Python, R, Matlab). Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Salary: The salary for this position will be in accordance with the standard ETH PhD/postdoc salaries. https://ethz.ch/en/the-eth-zurich/working-teaching-and-research/welcome-cen… Application Process: Interested applicants should submit a detailed CV, a cover letter explaining their interest in the position and contact information for three references to bgrewe(a)ethz.ch ------------------------------------------------------ Benjamin F. Grewe Professor of Systems and Circuits Neuroinformatics Institute of Neuroinformatics UZH/ETH Zurich Dept. of Electrical Engineering and Information Technology, ETH Winterthurerstrasse 190 CH-8057 Zurich, Switzerland Email: Bgrewe(a)ethz.ch

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Post-doctoral position
by Maison, Stephane F.,AUD, PhD 11 May '23

11 May '23

Research Fellow – Harvard Medical School - Mass Eye & Ear Infirmary – Boston, Massachusetts USA A NIH-funded postdoctoral position is immediately available in the Department of Otolaryngology - Head & Neck Surgery at the Massachusetts Eye & Ear - Harvard Medical School. Salary and benefits are consistent with NIH guidelines and institution policies based on applicant's experience. We are seeking highly motivated candidates who recently graduated with a PhD in hearing science, audiology, neuroscience, or biomedical engineering. The applicant should be motivated, independent, and productive. Experience with human testing and programming is preferred (e.g., Matlab, Python). The fellow will receive an appointment at Massachusetts Eye and Ear and Harvard Medical School. Our research interests focus on identifying biomarkers of cochlear synaptopathy in patients with a large range of sensorineural etiologies. Please reach out to Stephane Maison with CV, references, and cover letter to stephane_maison(a)meei.harvard.edu<mailto:stephane_maison@meei.harvard.edu>. Thank you. The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Mass General Brigham Compliance HelpLine at https://www.massgeneralbrigham.org/complianceline <https://www.massgeneralbrigham.org/complianceline> . Please note that this e-mail is not secure (encrypted). If you do not wish to continue communication over unencrypted e-mail, please notify the sender of this message immediately. Continuing to send or respond to e-mail after receiving this message means you understand and accept this risk and wish to continue to communicate over unencrypted e-mail.

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Registration, abstracts, & investigator-led abstracts open for INCF Neuroinformatics Assembly 2023!
by INCF 11 May '23

11 May '23

***Please share with your networks*** Join us for Assembly, hosted once again on the Gather platform! We are currently looking for speakers for two investigator-led sessions, poster presenters, and of course Assembly registrants. Our annual Assembly is a unique venue where neuroscience researchers, tool developers, standards developers, and infrastructure providers can meet with potential collaborators and hear about the latest advancements in neuroinformatics and FAIR neuroscience. Submit an abstract (poster) <https://neuroinformatics.incf.org/abstract-submission> Submit an abstract (investigator-led session) <https://neuroinformatics.incf.org/ip-submission> Our program this year stretches from September 19 to September 21, and is centered around workshops proposed by our community. Sessions comprise presentations, investigator-led talks, round-table discussions, tutorials, and hands-on workshops. Register for Assembly <https://neuroinformatics.incf.org/register> See the program <https://neuroinformatics.incf.org/2023/program> Learn more <https://neuroinformatics.incf.org/> You don’t have to be an INCF member to participate, but this is a good occasion to become one - registration for Assembly is heavily discounted for members! Become a member <https://www.incf.org/join-incf/individuals> Important dates: May 11: Abstract submission opens May 11: Registration opens Jun 23: Deadline for abstract submission Sep 18-20: Neuroinformatics Assembly 2023

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Computational Neuroscience School, July 11- July 25, IISER Pune, India
by suhita 11 May '23

11 May '23

Dear comp-neuro team, Will you please add this information to the newsletter? Thanks Suhita Nadkarni Associate Professor Division of Biology Indian Institute of Science Education and Research, Pune India Tel.: +91 20 2590 8113 suhita(a)iiserpune.ac.in http://www.iiserpune.ac.in/~suhita ————————————————————————— Computational Neuroscience School, July 11- July 25, IISER Pune, India APPLICATION DEADLINE EXTEDED TO MAY 20TH, 2023 Computational Approaches to Memory and Plasticity, or CAMP for short, is an intensive 15-day course, where students will be trained in theoretical and computational modeling of memory and plasticity in the brain, spanning different scales of space, time and complexity. This summer school has been running since 2014 at the National Centre for Biological Sciences (NCBS) Bengaluru. This year, IISER Pune will host CAMP@IISERPune. This year’s flavor of CAMP will be — Dynamical Systems in Neuroscience. The course will have lectures, hands-on tutorials, and project work to launch students into the exciting field of computational neuroscience. A total of 35 Indian and international students will be selected for this course. For further details about the school, schedule, and application, please visit this website https://camp.iiserpune.ac.in/

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Call for 2 PhD positions within the MatCo project in the Brain Language Lab at Freie Universität Berlin
by Jäger, Anna-Thekla 11 May '23

11 May '23

The Brain Language Lab is currently seeking two exceptional candidates to join their team as PhD students for the ERC Advanced Grant "Material Constraints Enabling Human Cognition (MatCo)" Project at Freie Universität Berlin. To learn more about this exciting opportunity, please refer to the detailed job offer below. We kindly ask you to share this opportunity with anyone who may be interested and qualified. Assistant Researcher (m/f/d) (PhD student) Freie Universitaet Berlin - Philosophy and Humanities Brain Language Laboratory Third-Party funded project MatCo The ERC Advanced Grant “Material Constraints Enabling Human Cognition (MatCo)” at the Freie Universität Berlin aims to build network models of the human brain that mimic neurocognitive processes involved in language, communication and cognition. A main strategy is to use neural network models constrained by neuroanatomical and neurophysiological features of the human brain in order to explain aspects of human cognition. To this end, neural network simulations are performed and evaluated in neurophysiological and neurometabolic experiments. This neurocomputational and experimental research targets novel explanations of human language and cognition on the basis of neurobiological principles. More information about the project can be found here: www.fu-berlin.de/matco<http://www.fu-berlin.de/matco> Job description: • Simulation studies with neural network models of language and cognition • Preparation, implementation and evaluation of neurocognitive experiments onlanguage and cognition (ECoG, EEG, fMRI) • Tractography analyses and use of their results for optimizing neural models Requirements: • Completed university degree (MA, MSc or equivalent) in a relevant field (e. g., linguistics, psychology, cognitive neuroscience, medicine, informatics) Desirable: • Research experience with biologically constrained neural networks and with network simulations of cognitive processes • Experience in empirical experimental language research • Research experience in the fields of syntax, semantics or pragmatics • Very good programming skills • Good German skills • Very good English skills (minimum level C1) More information and formal job advertisements can be found at www.brainlang.fu-berlin.de/jobs; in case of further questions, please contact Prof. Dr. Friedemann Pulvermüller: friedemann.pulvermuller(a)fu-berlin.de. Applications should be sent by e-mail, together with significant documents, indicating the reference code, in PDF format (preferably as one document) no later than the 8th of June 2023 to Prof. Dr. Friedemann Pulvermüller: admin(a)brainlang.fu-berlin.de or postal to Freie Universität Berlin Department of Philosophy and Humanities Brain Language Laboratory Third-Party funded project MatCo Prof. Dr. Friedemann Pulvermüller Habelschwerdter Allee 45 14195 Berlin (Dahlem) With an electronic application, you acknowledge that FU Berlin saves and processes your data. FU Berlin cannot guarantee the security of your personal data if you send your application over an unencrypted connection. Freie Universität Berlin is an equal opportunity employer Best regards, Anna-Thekla Jäger on behalf of the Brain Language Lab

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Call for 13 PhD positions in the Neuroscience PhD Program at Universita’ degli Studi di Padova – Padova Neuroscience Center
by Samir Suweis 11 May '23

11 May '23

The PhD program in Neuroscience at Universita’ degli Studi di Padova is a unique opportunity for young researchers to join a vibrant, active and interdisciplinary community of international faculty hosted at the Padova Neuroscience Center and to perform cutting-edge research in Neuroscience. The call offers 13 fully funded PhD positions with more than 50 research lines in diverse neuroscience fields, like Circuits & Systems, Cognitive, Affective, Behavioral, Computational, Neuroimaging, Translational and Clinical Neuroscience. Call opens on May 9, 2023, and will close on June 8, 2023, at 1:00 pm (CET). For more information, check the link https://pnc.unipd.it/admission/ <https://pnc.unipd.it/admission/> Best ***************** Samir Suweis www.liphlab.com Tel: +39 049 827 71 74

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Research Engineering Fellow to support the research of the Cerebral Palsy Alliance Research Institute.
by Alistair McEwan 11 May '23

11 May '23

Dear all, we are seeking engineers or similar for a cerebral palsy focussed research in Sydney Australia. University of Sydney Career Site (myworkdayjobs.com)<https://usyd.wd3.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/job/Rese…> [https://usyd.wd3.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/assets/l…]<https://usyd.wd3.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/job/Rese…> Research Engineering Fellow<https://usyd.wd3.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/job/Rese…> usyd.wd3.myworkdayjobs.com The School of Biomedical Engineering<https://www.sydney.edu.au/engineering/schools/school-of-biomedical-engineer…> is seeking a talented Research Engineering Fellow to support the research of the Cerebral Palsy Alliance Research Institute. Our technology work spans the lifetime from early detection and intervention to assistive devices for mobility, communication and cognition. We work across healthcare including Westmead hospital based research in neonatal intensive care, neurodevelopmental clinics, gait laboratories, speech therapy and disability services throughout NSW, Australia and in support of international research projects in this area. We seek to train and engage engineers in the areas of child development and physical and occupational therapies using the emerging technologies of robotics, bionics, virtual reality and machine learning. In this role you will: * facilitate and contribute to the fabrication of functional prototypes and experimental devices with emphasis on reliability and the provision of care * design and fabricate test apparatus, jigs, and other devices in support of the research programs * design electrical circuits, software, user interfaces and machine learning systems as required for achievement of the experimental objectives of the laboratory * participate in the coordination of experimentation (preparation, setup, execution, and post-procedure follow-up) and design experimental protocols * assist in the training, supervision and mentoring of Honours students About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Research Engineering Fellow who has: * a PhD or higher degree in a relevant area of engineering such as biomedical engineering, machine learning, artificial intelligence, computer science, statistics, data analytics, applied mathematics or applied physics * experience in human experimental design, familiarity with human ethics, motion and audio signal processing, predictive modelling, statistical methods, and thorough documentation * a demonstrated understanding of the disability sector and goal-directed human centered design thinking approach * experience in Computer Aided Design (CAD), ideally SolidWorks, and a basic working knowledge of electrical circuits, embedded software, user interfaces * an ability to resolve matters that may arise as part of research and the challenges relating to innovation of new ideas and concepts Experience working in the health domain with clinical data and a demonstrated track record of supporting high quality academic publications is highly desirable. This is an academic position, of which the commencement level will be determined based on the candidate’s skills, experience and knowledge. An appointment at Academic Level A, will hold the title of Postdoctoral Research Associate - Engineering. An appointment at Academic Level B, will hold the title of Research Fellow - Engineering. [https://usyd.wd3.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/assets/l…]<https://usyd.wd3.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/job/Rese…> Research Engineering Fellow<https://usyd.wd3.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/job/Rese…> usyd.wd3.myworkdayjobs.com  -- Alistair McEwan<https://sydney.edu.au/engineering/people/alistair.mcewan.php> | Cerebral Palsy Chair of Technology and Engineering Engineering and Computer Science, Biomedical Engineering<https://www.sydney.edu.au/engineering/schools/school-of-biomedical-engineer…>, Cerebral Palsy Alliance<https://cerebralpalsy.org.au/> Brain and Mind Centre<https://sydney.edu.au/brain-mind/>, Charles Perkins Centre<https://sydney.edu.au/charles-perkins-centre/>, Sydney Nano Institute<http://sydney.edu.au/nano/> J13 | The University of Sydney | NSW | 2000 +61 2 9351 7256 | +61 4489 29554 alistair.mcewan(a)sydney.edu.au<mailto:alistair.mcewan@sydney.edu.au> https://www.linkedin.com/in/alistair-mcewan-0044781/ Cardiovascular Initiative<https://sydney.edu.au/research/centres/cardiovascular-initiative.html> @USYD_cvi https://arctcibe.org/ @InnovativBioEng

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Endowed professorship "AI-based Modeling in Neurology"
by Philipp Berens 10 May '23

10 May '23

Dear all, we are currently advertising an Endowed professorship "AI-based Modeling in Neurology" (https://www.academics.com/jobs/endowed-professor-w3-of-ai-based-modeling-in…) at the University of Tübingen. We are looking for candidates that perform innovative research on artificial intelligence (AI) methods for modelling the healthy and diseased brain from a translational and clinical perspective. This can include the development and use of brain simulations to better understand healthy brain function and the effects of neurological diseases (e.g. epilepsy, Alzheimer's, Parkinson's) and integrating simulations and clinical neurodata (e.g. functional MRI imaging, EEG, electrophysiology) with the help of machine learning. Tübingen offers a first-rate environment at the intersection of neuroscience and AI/ML research with the Excellence Cluster for Machine Learning in Science, the Tübingen AI Center, the Max Planck Institutes for Intelligent Systems and Biological Cybernetics, the Hertie Institute for Clinical Brain Research and many other institutions! We are looking forward to your application by May 19th. Best Philipp -- Professor of Data Science, Director Hertie Institute for AI in Brain Health Medical Faculty of the University of Tübingen www.berenslab.org

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Job Opening: Full time Research Assistant in cognitive & systems neuroscience
by Theresa Desrochers 09 May '23

09 May '23

The Desrochers Lab (Brown University, Providence, RI, USA) is looking for a full-time Research Assistant. The goal of the lab is to understand the neural bases of cognitive and behavioral sequences through research that integrates human and animal experimental models. Tasks for this position will mostly focus on a single project in the lab, and could be a great opportunity for a post-bac looking for a project doing cognitive & systems neuroscience. Detailed description and application here: https://brown.wd5.myworkdayjobs.com/en-US/staff-careers-brown/job/Sidney-E-… ~Theresa -- Theresa M. Desrochers, Ph.D. Rosenberg Assistant Professor of Brain Science Department of Neuroscience Department of Psychiatry and Human Behavior (courtesy) Carney Institute for Brain Science Brown University http://neuroscience.brown.edu/desrochers

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Lecture notes: "The Shallow and the Deep"
by Michael Biehl 08 May '23

08 May '23

Dear All. A slightly extended, revised and prettified version of my lecture notes "*The shallow and the deep - a biased introduction to neural networks* * and old school machine learning*" can be downloaded at https://hdl.handle.net/11370/e08667bd-2e84-4956-b9d3-45b9e957634d This pre-publication version is freely available for non-commercial use and teaching purposes. The copyright remains with the author. --------------------------------------------------- Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science & Artificial Intelligence P.O. Box 407, 9700 AK Groningen, NL https://www.cs.rug.nl/~biehl

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Virtual CA2 Symposium - May 19th
by Tristan Stöber 08 May '23

08 May '23

Dear friends and colleagues, get ready to discuss the latest CA2 insights with us! Serena Dudek and I are thrilled to invite you to a virtual symposium on May 19th, celebrating the Hippocampus Special Issue on CA2! It's FREE of charge. For more info and registration, check out the link below [1]. Talks by Zafar Bashir, Michael Bienkowski, Liset M. de la Prida, Emma Diethorn (Gould lab), Serena M. Dudek, Ute Häussler, Hongshen He (McHugh lab), Ricardo Insausti, Eude Lepicard (Piskorowski/Chevalyre lab), Maud Muller (Piskorowski/Chevalyre lab), Katy Pannoni (Farris lab), Radha Raghuraman (Sajikumar lab) and me. With Georgia Alexander, Shannon Farris and Azahara Oliva as chairs. Looking forward to see you all there. Please spread the word. Best, Tristan Stöber [1] https://shorturl.at/CUX07

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NEST Conference 2023 — Abstract Submission Deadline Extended to 21 May
by Hans Ekkehard Plesser 05 May '23

05 May '23

Dear all, The abstract submission deadline for the NEST Conference 2023 has been extended to 21 May. We are looking forward to your contributions! The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. This year's conference will again take place as a virtual conference on Thursday/Friday 15/16 June 2023. We are inviting contributions to the conference, including talks, "posters" and workshops on specific topics. For more information on how to submit your contribution, register and participate, please visit the conference website https://nest-simulator.org/conference Important dates 21 May 2023 — Deadline for submission of contributions 26 May 2023 — Notification of acceptance 5 June 2023 — Registration deadline 15 June 2023 — NEST Conference 2023 starts We are looking forward to seeing you all in June! Hans Ekkehard Plesser and the conference organizing committee -- Prof. Dr. Hans Ekkehard Plesser Head, Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

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CALL FOR PAPERS, Deadline May 26; CogFeel Workshop at ALIFE 2023
by Jie Mei 05 May '23

05 May '23

- Venue: ALIFE 2023, Sapporo, Japan - Date: July 25th, 2023 - Title: Cognitive feelings: Towards multi-disciplinary approaches for realizing artificial systems with cognitive capacities - Website: https://sites.google.com/view/cogfeel-alife-2023/ - Workshop organizers: - Jie Mei, International Research Center for Neurointelligence, The University of Tokyo - Hiroki Kojima, National Center of Neurology and Psychiatry and The University of Tokyo - Yuichi Yamashita, National Center of Neurology and Psychiatry - Yukie Nagai, International Research Center for Neurointelligence, The University of Tokyo *Apologies for cross-posting* Dear colleagues, In recent years, an increasing number of cross-disciplinary approaches have been proposed to deepen our understanding of living systems and their interactive, evolutionary, and adaptive aspects. However, we have not fully achieved the emergence of intelligence and mind in artificial systems. To facilitate discussions on how cognitive capacities of artificial living systems could be improved and potentially propose a framework for exploring the origin, emergence and evolution of perception and emotions, we are organizing a workshop (CogFeel @ ALIFE 2023: https://sites.google.com/view/cogfeel-alife-2023) in conjunction with the 2023 Conference on Artificial Life (ALIFE 2023). We reinforce the role of cognitive feelings (i.e., feelings about one’s mental processes, encompassing senses of knowing, confidence, reality, and fluency, etc.) as an integrated component contributing to developmental individuality and diversity. We also recognize the difficulty in implementing (subjective) feelings in artificial systems which requires the differentiation whether these systems possess feelings or just behave as so. For a comprehensive perspective on how individual- and population-level diversity in cognitive and behavioral capacities emerges, in this workshop, we encourage discussions on methods and findings in disciplines including but not limited to: - Robotics, - Computational and behavioral neuroscience, - Psychology, - Virtual/augmented reality, and - Artificial intelligence, etc. We welcome submissions on topics within the fields of (neuro)robotics, computational and behavioral neuroscience, psychology, virtual/augmented reality, and artificial intelligence. We also encourage contributions from other relevant disciplines. Submissions should be in the form of extended abstracts (maximum 2 pages) or research articles (maximum 8 pages). We are planning to organize a special issue in partnership with a top academic journal where extended versions of selected contributions will be published. Deadline: May 26, 2023. Please submit your contribution to cogfeelalife2023(a)gmail.com. Regards, Jie Mei

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PhD Studentship in Computational Neuroscience and Neurostimulation
by Volker Steuber 05 May '23

05 May '23

PhD Studentship in the Centre for Future Societies Research at the University of Hertfordshire Application Deadline 19 May 2023 Bursary of a minimum of £17,668 per annum, including a full tuition fee waiver for three years. https://www.herts.ac.uk/.../centre.../phd-studentships-2023<https://www.herts.ac.uk/research/centres/centre-for-future-societies-resear…> [https://www.herts.ac.uk/__data/assets/image/0019/257320/uherts_40436287737.…]<https://www.herts.ac.uk/research/centres/centre-for-future-societies-resear…> PhD Studentships 2023<https://www.herts.ac.uk/research/centres/centre-for-future-societies-resear…> University of Hertfordshire www.herts.ac.uk Project title: Low-cost, accessible neurostimulation, experiments and simulations Supervisors: Dr Nada Yousif, Professor Volker Steuber Originality: The proposed project would for the first time combine experimental cerebellar stimulation and computational modelling, to show the feasibility of low-cost, accessible non-invasive neurostimulation for treating movement disorders. Significance: The cerebellum is a critical structure for movement. We have previously shown that it is central in controlling pathological activity in epilepsy (Kros et al., Annals of Neurology 2015) and essential tremor (Yousif et al., PloS Comput Biol, 2017). Deep brain stimulation (DBS) has been used for decades to treat tremor (Benabid et al, 1998) and more recently epilepsy (Zangiabadi et al., Frontiers Neurology, 2019). However, DBS is a highly invasive surgical technique targeting the thalamus, a structure inaccessible by non-invasive neurostimulation. Rigour: The project would involve, 1) a detailed biophysical computational model of the cerebellum, based on our previous work, but extended to involve connected structures such as the thalamus; 2) experiments with human participants involving non-invasive electrical stimulation of the cerebellum during normal movement tasks to inform, validate and test the model. Together, this will lead to theoretically based, novel stimulation paradigms for a closed-loop system. Potential Contribution to Knowledge: We propose that cerebellar stimulation could provide a method of replacing DBS and inhibiting pathological brain activity, and that a model based closed-loop system would provide an optimal approach. Volker Steuber Professor of Computational Neuroscience Biocomputation Research Group School of Physics, Engineering and Computer Science University of Hertfordshire College Lane, Hatfield, AL10 9AB, UK biocomputation.herts.ac.uk<http://biocomputation.herts.ac.uk>

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DEADLINE EXTENDED (May15th): Call for contribution and registration to the Systems Vision Science Symposium: Aug. 22-24, 2023, in Tuebingen, Germany
by Pavlovic, Maria 03 May '23

03 May '23

Systems Vision Science Symposium Aug. 22-24, 2023 in Tübingen, Germany -------------------------------- DEADLINE EXTENDED! SUBMIT CONTRIBUTIONS UNTIL MAY 15, 2023! We have extended the deadline to submit poster contributions to the Systems Vision Science Symposium to May 15, 2023! You have also the chance to register without contribution registration without contribution to the symposium will be open until capacity or deadline for organization is reached! Our symposium takes place at the end of our Systems Vision Science summer school Aug. 14-24, 2023. Presentation topics by the invited speakers will be ® Topics in Systems Vision Science ® The power of two: New perspectives on binocular vision ® Central versus peripheral vision We are pleased to announce our symposium's keynote speaker: Marty Sereno. The keynote speech will be on August 22, 2023 Invited speakers of the Systems Vision Science Summer School and Symposium include: Assaf Breska, Peter Dayan, Andrea van Doorn, Wolfgang Einhäuser-Treyer, Karl Gegenfurtner, Ziad Hafed, Tadashi Isa, Jan Koenderink, Kristine Krug, Hanspeter Mallot, Laurence Maloney, Pascal Mamassian, Antje Nuthmann, Daniel Osorio, Andrew Parker, Jenny Read, Alexander Schütz, Manuel Spitschan, Kristina Visscher, Li Zhaoping. -------------------------------- We invite you to submit contributions in form of posters to the symposium on all topics in Systems Vision Science, which combines computational, behavioral, and neuroscience methods to discover functions and algorithms for vision in various brain regions and their implementations in neural circuits. To maximize exchanges during the symposium, each poster will be displayed throughout the symposium, which includes five poster sessions (two daytime sessions and three evening sessions), in a venue next to the lecture hall and coffee breaks to give enough time for discussions, networking and knowledge exchange. To contribute, please fill out our registration form including an abstract, which can be found here: https://summerschool.lizhaoping.org/contributions-for-symposium/ -------------------------------- This years venue capacity is 100, including invited speakers and summer school participants. Information about our summer school, which takes place just before the Systems Vision Science Symposium, can be found here: https://summerschool.lizhaoping.org/ Please direct inquiries to svs.summerschool(a)tue.mpg.de <mailto:svs.summerschool@tue.mpg.de> -------------------------------- Organizing team: Li Zhaoping Ulf Lüder Maria Pavlovic Junhao Liang Max Planck Institute for Biological Cybernetics University of Tuebingen <http://www.lizhaoping.org> www.lizhaoping.org

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NeuroBridges 2023
by Ahmed El Hady 03 May '23

03 May '23

Dear colleagues, The great tradition of NeuroBridges continues. NeuroBridges 2023 is just across the corner and the deadline for applications is May 15, 2023. Please feel free to forward the call for applications ( below) to your departments and prospective students . If you have any questions, please do not hesitate to reach out. Thank you for your support, Ahmed Elhady *NeuroBridges 2023* *A Mediterranean, Middle Eastern Summer School in Neuroscience* *Deadline to apply: May 15, 2023* *NeuroBridges 2023* is a summer school which will take place between *September 3 and September 14, 2023* in Le Centre de Conferences Internationales de Cluny, France (CCIC). The school will provide an overview of theoretical and experimental frameworks used to study a variety of *decision making* processes. It will cover different model systems from rodents to humans and a plethora of decision making mechanisms. Another objective of Neurobridges is to bring together *Mediterranean and Middle Eastern scientists*, in order to promote scientific cooperation between young researchers from these countries. The organizers of NeuroBridges are convinced that such scientific collaborations can lead to personal relations, which eventually may alleviate the political distress in the Middle East. The school is intended for graduate students and postdocs, primarily, but not only, from the Middle East and the Mediterranean region, either working in their home countries or abroad. Applicants should have some background in related fields in neuroscience or cognitive psychology. *All costs of registration and accommodation will be covered by the organizers. A limited number of travel grants will be also be available*. *NeuroBridges 2023 Faculty:* Alaa Ahmed (U. Colorado), Carlos Brody (Princeton), Iain Couzin (MPI), Roozbeh Kiani (NYU), Carole Levenes (CNRS), Drazen Prelec (MIT), Rava Azeredo da Silveira (IOB and CNRS) and Yoram Yovell (Hadassah Hebrew U. Medical Center). *NeuroBridges* is co-organized by Ahmed El Hady (MPI, Konstanz, Germany), Yonatan Loewenstein (Hebrew University of Jerusalem, Israel) and David Hansel (CNRS, Paris, France). ** *NeuroBridges 2023* is supported by the Simons Foundation, the CNRS and ELSC, and is in partnership with VVTNS (https://www.wwtns.online/) For more information and application, visit our website: https://neurobridges.net/neurobridges2023.html *Contact us:* neurobridges2023(a)gmail.com

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CfP: Deadline extended to May 15: Brain Informatics in Hoboken, NJ
by Feng Liu 02 May '23

02 May '23

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS The 16th International Conference on Brain Informatics (BI'23) August 1 - 3, 2023 Hoboken & New York – USA The key theme: Brain Science meets Artificial Intelligence Conference homepage: wi-consortium.org/conferences/bi2023/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *** IMPORTANT DATES *** - 15 May 2023: Full Paper Submission Deadline - 20 May 2023: Workshop Proposal Submission Deadline - 01 Jun 2023: Abstract Submission Deadline *** Confirmed Keynote Speakers *** - Professor Emery N. Brown Member of the National Academy of Sciences Member of the National Academy of Engineering Member of the National Academy of Medicine MIT, Massachusetts General Hospital, USA - Professor Bin He Fellow of International Academy of Medical and Biological Engineering (IAMBE) Fellow of American Institute of Medical and Biological Engineering (AIMBE) Fellow of Biomedical Engineering Society (BMES), and IEEE Member of the National Academy of Inventors Carnegie Mellon University, USA - Professor John Ngai Director of NIH BRAIN Initiative NIH BRAIN Initiative, USA - Professor Helen Mayberg Member of the National Academy of Sciences Member of the National Academy of Medicine Member of the National Academy of Inventors Member of the American Academy of Arts and Sciences Mount Sinai Medical Center, USA - Professor Vinod Goel Author of monographs: “Sketches of thought” and “Reason and Less: Pursuing Food, Sex, and Politics” York University, Canada - Professor Amy Kuceyeski Director of Computational Connectomics (CoCo) at Weill Cornell Medicine Cornell University, USA - Dr. Grace Hwang Director, NINDS, NIH *** Local information *** *The location of the BI2023 in the beautiful campus of Stevens Institute of Technology in Hoboken, New Jersey, located on the west bank of Hudson River overlooking Manhattan. Stevens is close to a group of finest universities such as Princeton University (1.5 hours drive), Columbia University (25 min drive), New York University (20 min drive) and Yale University (1h 40 min drive). *Convenient transportation: (1) Nearby there are three major airports: Newark, JFK, and LaGuardia with direct flights to all major cities in the world. (2) 15 minutes to Time Square by bus. *An economic accommodation option: $100 dorm room option is available in the newly completed University Complex Center Building with a view of Manhattan (limited spaces) ***About the conference*** The International Conference on Brain Informatics (BI) series has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The 16th International Conference on Brain Informatics (BI'23) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. *** Topics and Areas *** The key theme of the conference is "Brain Science meets Artificial Intelligence". The BI'23 solicits high-quality original research and application papers (full paper and abstract presentation submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing ***Journal Opportunities*** High quality BI conference papers may be nominated to submit an extended version for a fast track review and publication at the Brain Informatics Journal (https://braininformatics.springeropen.com/) an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. Real-time Journal's Impact Factor: 8.5. *** Paper Submission and Publications *** Submission link: http://wi-consortium.org/conferences/bi2023/paper%20submissions%20and%20pub… 9-12 pages are encouraged for the regular papers including figures and references in Springer LNCS Proceedings format ( https://www.springer.com/us/computer-science/lncs/conference-proceedings-gu…) Overlength pages will be charged 200$ per page. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all workshop & special sessions' full length papers) will be published by Springer as a volume of the Springer-Nature LNAI Brain Informatics Book Series ( https://link.springer.com/conference/brain) Abstract Presentation Submission: Submission link: http://wi-consortium.org/conferences/bi2023/paper%20submissions%20and%20pub… Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 1500 words. Note: The abstract will not be included in the conference proceedings to be published by Springer. Special Issues & Books: Workshop organizers can be invited to contribute a book publication in the Springer-Nature Brain Informatics & Health Book Series ( https://www.springer.com/series/15148) or a special issue at the Brain Informatics Journal. *** Workshop & Special Sessions *** Proposal Submissions: BI'23 will be hosting a series of workshops and special sessions featuring topics relevant to the brain informatics community on the latest research and industry applications. Papers & Presentations: A workshop/special session typically takes a half day (or full day) and includes a mix of regular and invited presentations including regular papers, abstracts, invited papers as well as invited presentations. The paper and abstract submissions to workshops/special sessions will follow the same format as the BI conference papers and abstracts. Proposal Guidelines: Each proposal should include: 1) workshop/special session title; 2) length of the workshop (half/full day); 3) names, main contact, and a short bio of the workshop organizers; 4) brief description of the workshop scope and timeline; 5) prior history of the workshop (if any); 6) potential program committee members and invited speakers; 7) any other relevant information. *** IMPORTANT DATES *** * 15 May 2023: Full paper submission deadline * 20 May 2023: Workshop proposal deadline * 1 Jun 2023: Abstract presentation submission deadline * 3 Jun 2023: Final paper and abstract acceptance notification * 20 Jun 2023: Accepted paper and abstract registration deadline * 1-3 Aug 2023: The Brain Informatics Conference

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Last week to apply for Neuromatch Academy courses 2023!
by Alberto Antonietti 01 May '23

01 May '23

Dear colleagues, 📣 Last Chance to Apply for Neuromatch Academy 2023! The deadline for applications was extended, but all applications close the next Monday, May 8th! We are especially looking for expert Teaching Assistants (TAs) for project and lead TAs roles! Duties are described here: https://academy.neuromatch.io/roles Benefits of joining as a TA include: * Opportunity to develop teaching, problem-solving, and communication skills * Formal TA training * Paid position School dates: July 10th - July 28th, 2023. Apply here to become student or teaching assistant: https://academy.neuromatch.io *NMA - Computational Neuroscience* Flagship course covering contemporary computational neuroscience modeling and analysis techniques. Content: https://compneuro.neuromatch.io *NMA - Deep Learning* In-depth advanced materials, ideal for graduate students and postdocs wishing to add computational techniques to their neuroscience research, or for individuals looking to dive into the Deep Learning world. Content: https://deeplearning.neuromatch.io *CMA - Computational Tools for Climate Science (17-28th July)* The newest course, a wide-reaching, inclusive and approachable program aimed to introduce computational methods for climate science. Check out the CMA website: https://academy.climatematch.io Access the *Application Portal* and apply before the *deadline (May 8th)* ! Apply here to become student or teaching assistant: https://academy.neuromatch.io *What is Neuromatch Academy?* Neuromatch Academy (NMA) teaches computational techniques crucial for success in academia and industry. It serves thousands of students each year with hundreds of teaching assistants (TA). Students learn by solving problems in small groups and by running group projects; they learn in many languages in an incredibly supportive environment. *What’s in a course?* Our courses are intensive 3-week programs involving hands-on tutorials developed by experts in the field. Accepted students are placed into TA-led pods (groups) using the Neuromatch algorithm, which matches students with common interests who are in the same timezone and their preferred language for instruction. Students also receive personalized support as they work through hands-on tutorials and collaborate on course projects. [Please note that course participation requires active attendance and attention of the students for 3 weeks.] *Why should you apply to NMA?* This program provides a dynamic learning experience that fuses neuroscience and computational techniques. Collaborate with a global community of experts and peers, hone your problem-solving skills, and build a supportive network that celebrates inclusivity and accessibility in science education. Don't miss out on this unique opportunity to advance your knowledge and skills. Apply to unlock your potential and propel your career forward! *What does it cost?* Neuromatch Academy’s mission is to make education affordable to everybody, no matter their financial background. We do this by pricing our courses significantly lower than other summer schools, adjusting for national economic factors, and allowing students to pay what they can when those adjustments are insufficient. Please see the website https://academy.neuromatch.io for additional information and volunteer opportunities! Warm Regards, Neuromatch Academy team -- Alberto Antonietti, Ph.D. Assistant Professor Nearlab - NeuroEngineering And medical Robotics Laboratory Department of Electronics, Information and Bioengineering Politecnico di Milano http://www.nearlab.polimi.it/

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NeuroBridges 2023 Deadline approaching
by Ahmed El Hady 01 May '23

01 May '23

*NeuroBridges 2023* *A Mediterranean, Middle Eastern Summer School in Neuroscience* *Deadline to apply: May 15, 2023* *NeuroBridges 2023* is a summer school which will take place between *September 3 and September 14, 2023* in Le Centre de Conferences Internationales de Cluny, France (CCIC). The school will provide an overview of theoretical and experimental frameworks used to study a variety of *decision making* processes. It will cover different model systems from rodents to humans and a plethora of decision making mechanisms. Another objective of Neurobridges is to bring together *Mediterranean and Middle Eastern scientists*, in order to promote scientific cooperation between young researchers from these countries. The organizers of NeuroBridges are convinced that such scientific collaborations can lead to personal relations, which eventually may alleviate the political distress in the Middle East. The school is intended for graduate students and postdocs, primarily, but not only, from the Middle East and the Mediterranean region, either working in their home countries or abroad. Applicants should have some background in related fields in neuroscience or cognitive psychology. *All costs of registration and accommodation will be covered by the organizers. A limited number of travel grants will be also be available*. *NeuroBridges 2023 Faculty:* Alaa Ahmed (U. Colorado), Carlos Brody (Princeton), Iain Couzin (MPI), Roozbeh Kiani (NYU), Carole Levenes (CNRS), Drazen Prelec (MIT), Rava Azeredo da Silveira (IOB and CNRS) and Yoram Yovell (Hadassah Hebrew U. Medical Center). *NeuroBridges* is co-organized by Ahmed El Hady (MPI, Konstanz, Germany), Yonatan Loewenstein (Hebrew University of Jerusalem, Israel) and David Hansel (CNRS, Paris, France). ** *NeuroBridges 2023* is supported by the Simons Foundation, the CNRS and ELSC, and is in partnership with VVTNS (https://www.wwtns.online/) For more information and application, visit our website: https://neurobridges.net/neurobridges2023.html *Contact us:* neurobridges2023(a)gmail.com

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PhD position on dynamic RSA, CIMeC, Uni Trento, Italy
by Moritz Wurm 28 Apr '23

28 Apr '23

Dear all, We are seeking for a highly motivated PhD student to join the Action Recognition and Concepts Group <https://www.cimec.unitn.it/en/929/action-recognition-and-concepts-group> at CIMeC (Center for Mind/Brain Sciences), University of Trento, Italy. The research project will focus on a MEG-based dynamic extension to representational similarity analysis (dynamic RSA <https://doi.org/10.1101/2022.09.02.506366>) that we have recently developed in our lab to investigate predictive representations of temporally extended unfolding events. The successful candidate should have a background in cognitive neuroscience (preferably M/EEG or fMRI, MVPA/RSA) and strong programming skills (preferably Matlab). Deadline to apply is May 31. Please get in touch with me (moritz.wurm(a)unitn.it <mailto:moritz.wurm@unitn.it>) as soon as possible if you are interested or have questions. Find more information on CIMeC’s doctoral program here <https://www.unitn.it/drcimec/>. All the best, Moritz Wurm -- Moritz Wurm, PhD Center for Mind/Brain Sciences (CIMeC), University of Trento Corso Bettini 31, 38068 Rovereto (TN), Italy moritz.wurm(a)unitn.it +39 0461-28 8632 https://sites.google.com/site/moritzfwurm

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Assistant Professor position at Maastricht University
by Jolivet, Renaud (MACSBIO) 28 Apr '23

28 Apr '23

My department - Systems Biology at Maastricht University - has an opening for an Assistant Professor in Plant Systems, Computational or Synthetic Biology (https://www.academictransfer.com/en/327187/assistant-professor-plant-system…) This is part of a cluster hire for a new centre and the search is broad. We are particularly interested by people who develop computational methods that can be applied to plants, but also to humans and animals, and we would be particularly interested by a candidate developing methods useful in neuroscience. Please contact me directly if interested. — Prof. Renaud B. Jolivet Chair of Neural Engineering and Computation Maastricht University ERA Forum Stakeholder Representative, European Commission Chair of the Science and Technology Committee, EBRAINS Member of the Board of Directors, Organization for Computational Neurosciences 2023 Neurotech Fellow, Foresight Institute User Team Leader, ISOLDE, CERN +41798302129 (mobile) ‭+31433881741 (office)‬ r.jolivet(a)maastrichtuniversity.nl<mailto:renaud.jolivet@unige.ch> twitter.com/RenaudJolivet<https://twitter.com/RenaudJolivet>

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PhD Position in Computational Neuroscience, NI group @ Technische Universität Berlin, Germany
by Klaus Obermayer 26 Apr '23

26 Apr '23

*Neural Information Processing Group @ Technische Universität Berlin* *PhD Position in Computational Neuroscience (salary level TV-L E13 100%)* *Modelling Neural Dynamics and the Effects of Transcranial Electrical Stimulation* *Faculty IV - Institute of Software Engineering and Theoretical Computer Science / Neural Information Processing Group* *Reference number: *IV-215/23 (starting at the earliest possible date / for 5 years) *Working field: *Participation in the projects of the our research group in the field of computational neuroscience on modelling neural dynamics and the effects of transcranial electrical stimulation; collaboration with theoretical and experimental / clinical research groups of the Collaborative Research Center 1315 „Mechanisms and Disturbances of Memory Consolidation" (https://www.sfb1315.de/, cf. project B03) and the Bernstein Center for Computational Neuroscience Berlin (https://www.bccn-berlin.de/) assistance in the maintenance of the computer infrastructure of the research group; teaching tutorials for introductory courses in programming and algorithms & architectures for non-CS students. For information about our research group see https://www.tu.berlin/en/ni. *Requirements: *Successfully completed university degree (Master, Diplom, or equivalent) in Computational Neuroscience, Computer Science, Electrical Engineering, Mathematics, Physics, or related fields; in-depth knowledge in dynamical systems, very good command of the German and English languages, the ability to teach in both German and English is required; very good programming skills and competences in the operating system UNIX; experience in modelling neural systems, teaching experience, and experience in server administration (UNIX) are desirable. Please send your application with the usual documents exclusively by e-mail to Prof. Dr. Klaus Obermayer at *klaus.obermayer(a)tu-berlin.de*, quoting the *reference number*. *Closing date* for applications for full consideration 12/05/23. Applications will be accepted until the position is filled.

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PhD position Radboud University Donders Institute
by peter.delooff＠ru.nl 26 Apr '23

26 Apr '23

Dear list, Apologies for any cross postings, but we have a PhD position available from a collaboration between the Donders Institute, RadboudUMC and Tilburg University that might be of interest to you. For additional information, please visit: https://werkenbijfivoor.nl/vacatures/details/phd-student-in-digital-phenoty… PhD Student in Digital Phenotyping and implementation with wearables in Forensic Psychiatry We are seeking a highly motivated PhD student to join our interdisciplinary team of researchers in the field of forensic psychiatry and digital phenotyping. The successful candidate will work with the team on developing several stress, sleep, and physical activity algorithms based on data from the Healthy Brain Study (HBS). The HBS is a prospective longitudinal cohort study that utilizes careful digital phenotyping in 1000 healthy participants. HBS combines bio-sampling, neuro-imaging and ecological momentary assessments to carefully assess several physiological, cognitive, affective and behavioural outcomes in both the laboratory and in real life with wearables. The PhD student will work on integrating these algorithms in an existing open source application for wearables in collaboration with patients and staff members from Forensic Psychiatry that will provide tailored, personalized insights and can be implemented in treatment settings. The PhD student will also carefully design several single case experiments to assess the efficacy and value of the open source application in (forensic) psychiatric treatment. This project is a collaboration between Donders Institute Radboud, Tilburg University, Fivoor, and de Borg and will be embedded in the infrastructure of the Donders Institute, providing a unique and stimulating learning environment for young researchers, including a high-profile graduate school and in-house methodological expert courses. All the best,

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Announcement of EITN Fall school in Computational Neuroscience
by DESTEXHE Alain 25 Apr '23

25 Apr '23

Hi All, In the name of the organizers, I'd like to announce the next edition of the EITN Fall School in Computational Neuroscience, in Paris in September 20-29, 2023. This school is intended for PhD students (although we do accept postdocs or Master students occasionally), and is structured in 4 scales of modeling: cellular, network, populations and whole-brain models. Each scale is associated with courses and tutorials on simulation tools such as Neuron, NEST, BRIAN, TVB, etc. The students form 4 groups to work on a modeling project, with the help of tutors. The course ends with the student presentations of the results obtained. This 10-day intensive course selects students on the basis of their excellence and need to follow this training. Students interested should send CV and a motivation letter to eitn(a)services.cnrs.fr (deadline end of June 2023). More details can be found at https://eitn.cnrs.fr/events/eitn-fall-school-2023 Thanks and see (some of) you soon, Alain --------------- EITN Fall School in Computational Neuroscience 2023 Paris, 20-29 September 2023 The EITN Fall School in Computational Neuroscience consists of a 10-day course in theoretical and computational neuroscience, from cellular to whole-brain levels. The course is structured in thematic days with lectures, tutorials, and project work.The course is typically aimed for PhD students, young postdocs, or master students interested to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building. The students will form thematic groups to work on predefined subjects, with the help of tutors.The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, and whole-brain models. There will be lectures and tutorials associated to these topics. Organizers: Sacha Van Albada (Julich), Albert Gidon (U Berlin), Hermann Cuntz (Ernst Strüngmann Institute, Frankfurt), Alain Destexhe (CNRS), Matteo di Volo (University Lyon 1), Spase Petkoski (Aix-Marseille Univ.), Gorka Zamora-Lopez (Universitat Pompeu Fabra) Why join? 10 days of intensive training in computational neuroscience provided by researchers from all over Europe. A complete program: • Cellular models, and models of brain signals • Circuit models and networks • Mean-field models • Whole-brain models Hands-on learning schedule based on: • Morning classes and tutorials • Group projects in the afternoon • Free time in the evenings to visit Paris How to apply? This training has a limited capacity of 20 students, therefore a selection will be performed by a scientific organizing committee. Applications are open until 30 June 2023. Send your application by email at eitn(a)services.cnrs.fr<mailto:eitn@services.cnrs.fr> → You will receive a confirmation your application has be received within 5 working days (or on the day application period closes (whichever comes the soonest). If not, please consider a technical issue and submit your application again. Contact eitn(a)services.cnrs.fr<mailto:eitn@services.cnrs.fr> for any question or assistance. Selection criteria include: • Working or studying in neuroscience or related • Experience in python programming would help • Priority is given to PhD students as the primary target of this training, although Master students and post-docs are welcome to apply as well Practical information: If selected, registration fee to attend the training is 400€ If selected, you will need to bring your own laptop with a few pre-installed programs. The tuition fee includes lunch, coffee, access to conference facilities and internet connection during the course days (Sunday not included). Location : Institut Supérieur Clorivière, 119 Bd Diderot, 75012 Paris This training is design to be attended in-person in Paris. It will not be recorded nor accessible remotely. Download flyer.pdf<http://eitn.cnrs.fr/wp-content/uploads/2023/04/Flyer.pdf> <http://eitn.cnrs.fr/wp-content/uploads/2023/04/Flyer.pdf> Preliminary list of Faculty and Speakers: Jan Antolik Nicolas Brunel Hermann Cuntz Gustavo Deco Damien Depannemaecker Alain Destexhe Matteo di Volo Gaute Einevoll Albert Gidon Moritz Helias Viktor Jirsa Marja-Leena Linne Jorge Mejias Spase Petkoski Maria Sacha Marcel Stimberg Bartosz Telenczuk Federico Tesler Sacha Van Albada Romain Veltz Gorka Zamora-Lopez <https://eitn.cnrs.fr/events/eitn-fall-school-2023>

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Last Call for nominations for the Valentin Braitenberg Award
by Alexander Lammers 25 Apr '23

25 Apr '23

Last Call for nominations for the Valentin Braitenberg Award ____________ Since 2012, the Bernstein Network Computational Neuroscience awards the Valentin Braitenberg Award every two years, which honors outstanding scientific achievements in the field of computational neuroscience. Following Braitenberg’s scientific tradition, special attention is paid to theoretical studies that reveal the functional significance of brain structures and their neuronal network dynamics. The award ceremony Further information: https://bernstein-network.de/en/network/awards-and-initiatives/valentin-bra… We welcome nominations for the Valentin Braitenberg Award for Computational Neuroscience 2023 until April 30, 2023. The award will be presented at the Bernstein Conference 2023 in Berlin. _____________ Award criteria: The major criterion for the selection of the awardee is the impact of the recipient’s research on the neurosciences. In the spirit of Valentin Braitenberg’s research, special emphasis is given to theoretical studies elucidating the functional implications of brain structures and their neuronal network dynamics. The crucial work should preferentially have been carried out in a European institution. ________________ Nominations: Nominations may be submitted by scientists working in the field of Computational Neuroscience and should include the following documents: * One-page laudation, in which the scientific work of the candidate is honored with regard to the award’s criteria * CV and list of publications Please send the nomination documents via e-mail to Dr. Alexandra Stein, a.stein(a)fz-juelich.de<mailto:a.stein@fz-juelich.de>, (Head of Bernstein Coordination Site). _________________ Former award winners: * Eve Marder * Wulfram Gerstner * David Willshaw * Alexander Borst * Moshe Abeles Dr. Alexander Lammers Press and Public Relations Bernstein Network Computational Neuroscience Bernstein Coordination Site Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9a | 79104 Freiburg | Germany Phone: +49 761 203-96787 Mail: a.lammers(a)fz-juelich.de<mailto:a.lammers@fz-juelich.de> Web: www.bernstein-network.de<http://www.bernstein-network.de> LinkedIn: Bernstein Network Computational Neuroscience Twitter: BernsteinNeuro Mastodon: BernsteinNetwork(a)mastodon.world<mailto:BernsteinNetwork@mastodon.world> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens, Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Multiple Openings for Post-Doc, Research Assistant and PhD student in Neuromorphic, In-memory computing IC design using SRAM/RRAM
by Prof. Arindam BASU 23 Apr '23

23 Apr '23

Multiple Openings for Post-Doc, Research Assistant and PhD student in Neuromorphic, In-memory computing IC design using SRAM/RRAM (application to LSTM/SNN for Keyword spotting) There are multiple openings for Post-doc, Research Assistant and PhD students for a new project on In-memory Computing in the group of Professor Arindam Basu, Department of Electrical Engineering, City University of Hong Kong. The focus of the project will be on in-memory computing implementations of neuromorphic algorithms for the application of LSTM/SNN for Keyword spotting using SRAM with extension to RRAM. In particular, novel In-memory ADC for nonlinear functions will be designed to push the state of the art. The candidate should have experience in doing analog/mixed-signal IC design with preference for experience in memory design. For Post-doctoral positions, experience with IC tapeout and measurement is a must. The maximum monthly salary allowance is HK$20,000 for research talents with a bachelor degree, HK$23,000 for those with a master degree, and HK$35,000(+10,000$ living allowance) for those with a doctoral degree. https://www.itf.gov.hk/en/funding-programmes/nurturing-talent/research-tale… Exceptional candidates can also be involved in other In-memory computing systems for the following applications: (1) Signal processing and compression in Brain-machine interfaces (2) Processing event-based video from Dynamic Vision Sensors in Autonomous driving. Candidates will get an opportunity to work on cutting-edge research with recent papers from the group published in top conferences like A-SSCC 2021, CICC 2022 and top journals like JSSC. Examples of recent work from our group in this direction: >> S. K. Bose, D. Singla and A. Basu, "A 51.3 TOPS/W, 134.4 GOPS In-memory Binary Image Filtering in 65nm CMOS" IEEE Journal of Solid-State Circuits (JSSC), 2021. >> S. K. Bose and A. Basu, "A 389 TOPS/W, always ON Region Proposal Integrated Circuit using In-Memory Computing in 65nm CMOS," IEEE Journal of Solid-State Circuits (JSSC), 2022. >> X. Zhang and A. Basu, "A 915-1220 TOPS/W, 976-1301 GOPS Hybrid In-Memory Computing Based Always-On Image Processing for Neuromorphic Vision Sensors" Journal of Solid-State Circuits (JSSC), vol. 58, no. 3, 2023. >> S. K. Bose and A. Basu, "A 389 TOPS/W, 1262fps at 1Meps Region Proposal Integrated Circuit for Neuromorphic Vision Sensors in 65nm CMOS" IEEE Asian Solid-State Circuits Conference (A-SSCC), Busan, South Korea, 2021. >> X. Zhang and A. Basu, "A 915-1220 TOPS/W Hybrid In-Memory Computing based Image Restoration and Region Proposal Integrated Circuit for Neuromorphic Vision Sensors in 65nm CMOS," IEEE Custom Integrated Circuits Conference (CICC), 2022. >> A. Basu, L. Deng, C. Frenkel and X. Zhang, "Spiking Neural Network Integrated Circuits: A Review of Trends and Future Directions," IEEE Custom Integrated Circuits Conference (CICC), 2022. Interested candidates should send their CV to arinbasu(a)cityu.edu.hk<mailto:arinbasu@cityu.edu.hk> with details about their academic record as well as IC design experience. Shortlisted candidates will be interviewed. Applications are welcome year-round until the positions are filled. Thank you and look forward to working with you! Prof. Arindam Basu Department of EE City University of Hong Kong (More information about the PI and the lab can be found here: https://www.cityu.edu.hk/stfprofile/arinbasu.htm https://scholar.google.com/citations?user=Ton5pYMAAAAJ&hl=en https://sites.google.com/view/brainsyslab/home ) Regards, Arindam Basu Professor, Dept. of EE, City University of Hong Kong, Associate Editor: IEEE Trans. BioCAS, IEEE Sensors, Frontiers in Neuroscience Disclaimer: This email (including any attachments) is for the use of the intended recipient only and may contain confidential information and/or copyright material. If you are not the intended recipient, please notify the sender immediately and delete this email and all copies from your system. Any unauthorized use, disclosure, reproduction, copying, distribution, or other form of unauthorized dissemination of the contents is expressly prohibited.

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Making the odorant world intelligible - How its semantics can be characterized
by Aurel A. Lazar 22 Apr '23

22 Apr '23

The paper listed below models for the first time the identity of an odorant object as semantic information and the onset/offset timing events as semantic timing. The Functional Logic of Odor Information Processing in the Drosophila Antennal Lobe Aurel A. Lazar, Tingkai Liu, Chung-Heng Yeh, PLoS Comput Biol 19(4): e1011043. https://doi.org/10.1371/journal.pcbi.1011043 <https://doi.org/10.1371/journal.pcbi.1011043> Author summary A major challenge in the study of the Drosophila early olfactory sensory system is to determine how an odorant object (the smell of a rose) is reliably identified in the face of fluctuations of the concentration amplitude of the molecules within the odorant plume. More fundamentally, the question arises how semantic information, often associated with subjective perception, can be characterized. To address this challenge, we leveraged the unique combinatorial odorant code of Drosophila and presented a formal treatment of the identity of an odorant object as its semantic information (or semantics for short). Grounded in the physiology of the fly brain, we identified the functional roles played by Local Neurons in the fruit fly Antennal Lobe in the recovery of the semantics and the onset/offset timing information (or semantic timing). Our model of the Antennal Lobe circuit is built with a highly versatile canonical model of neural computation - the differential Divisive Normalization Processor. Aurel http://www.bionet.ee.columbia.edu <http://www.bionet.ee.columbia.edu/>

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Last Call for Satellite Workshop Proposals, Bernstein Conference 2023 in Berlin
by Alexander Lammers 20 Apr '23

20 Apr '23

Last Call for Satellite Workshop Proposals, Bernstein Conference 2023 in Berlin +++ The Bernstein Network Computational Neuroscience invites proposals for Satellite Workshops preceding the Bernstein Conference 2023 in Berlin. +++ ____ BERNSTEIN CONFERENCE Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. www.bernstein-conference.de<http://www.bernstein-conference.de> ____ IMPORTANT DATES - Satellite Workshops: September 26 - 27, 2023 o Tuesday, Sep 26, 14:00 – 18:00 CEST o Wednesday, Sep 27, 8:30 – 12:30 CEST - Main Conference: September 27 – September 29, 2023 - Deadline for Satellite Workshop proposal submission: Wednesday, April 26 at 15:00 CEST, and will NOT be extended - Notification of workshop acceptance: planned in mid May 2023 Find further information here: https://bernstein-network.de/bernstein-conference/call-for-satellite-worksh… ____ FINANCIAL SUPPORT Workshop registration is free for all organizers and speakers of workshops. Workshop organizers will additionally receive a waiver for the main conference fee. From the accepted workshops up to ten workshops will be selected to receive financial support of up to 1500 € each. ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de<mailto:bernstein.conference@fz-juelich.de> -- Dr. Alexander Lammers Press and Public Relations Bernstein Network Computational Neuroscience Bernstein Coordination Site Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9a | 79104 Freiburg | Germany Phone: +49 761 203-96787 Mail: a.lammers(a)fz-juelich.de<mailto:a.lammers@fz-juelich.de> Web: www.bernstein-network.de<http://www.bernstein-network.de> LinkedIn: Bernstein Network Computational Neuroscience Twitter: BernsteinNeuro Mastodon: BernsteinNetwork(a)mastodon.world<mailto:BernsteinNetwork@mastodon.world> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens, Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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REMINDER: Call for contribution and registration to the Systems Vision Science Symposium: Aug. 22-24, 2023, in Tuebingen, Germany
by Pavlovic, Maria 20 Apr '23

20 Apr '23

Systems Vision Science Symposium Aug. 22-24, 2023 in Tübingen, Germany -------------------------------- REMINDER DEADLINE TO SUBMIT CONTRIBUTIONS APRIL 30, 2023! Our symposium takes place at the end of our Systems Vision Science summer school Aug. 14-24, 2023. Presentation topics by the invited speakers will be ® Topics in Systems Vision Science ® The power of two: New perspectives on binocular vision ® Central versus peripheral vision We are pleased to announce our symposium's keynote speaker: Marty Sereno. The keynote speech will be on August 22, 2023 Invited speakers of the Systems Vision Science Summer School and Symposium include: Assaf Breska, Peter Dayan, Andrea van Doorn, Wolfgang Einhäuser-Treyer, Karl Gegenfurtner, Ziad Hafed, Tadashi Isa, Jan Koenderink, Kristine Krug, Hanspeter Mallot, Laurence Maloney, Pascal Mamassian, Antje Nuthmann, Daniel Osorio, Andrew Parker, Jenny Read, Alexander Schütz, Manuel Spitschan, Kristina Visscher, Li Zhaoping. -------------------------------- We invite you to submit contributions in form of posters to the symposium on all topics in Systems Vision Science, which combines computational, behavioral, and neuroscience methods to discover functions and algorithms for vision in various brain regions and their implementations in neural circuits. To maximize exchanges during the symposium, each poster will be displayed throughout the symposium, which includes five poster sessions (two daytime sessions and three evening sessions), in a venue next to the lecture hall and coffee breaks to give enough time for discussions, networking and knowledge exchange. To contribute, please fill out our registration form including an abstract, which can be found here: <https://summerschool.lizhaoping.org/contributions-for-symposium/> https://summerschool.lizhaoping.org/contributions-for-symposium/ -------------------------------- Submissions of contributions are possible until April 30, 2023. Registration without contribution to the symposium will be open until capacity or deadline for organization is reached. This years venue capacity is 100, including invited speakers and summer school participants. Information about our summer school, which takes place just before the Systems Vision Science Symposium, can be found here: <https://summerschool.lizhaoping.org/> https://summerschool.lizhaoping.org/ Please direct inquiries to <mailto:svs.summerschool@tue.mpg.de> svs.summerschool(a)tue.mpg.de -------------------------------- Organizing team: Li Zhaoping Ulf Lüder Maria Pavlovic Junhao Liang Max Planck Institute for Biological Cybernetics University of Tuebingen www.lizhaoping.org <http://www.lizhaoping.org>

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Postdoc in cognitive computational neuroscience at Universitat Jaume I (Castelló, Spain)
by Raphael Samuel Matthew Kaplan 18 Apr '23

18 Apr '23

Dear Colleagues, The Decision and Memory group(decisionandmemory.org) at the Universitat Jaume I in Castelló de la Plana, Spain seeks a motivated postdoctoral scholar to study the influence of long-term memory processes on creativity and social cognition using computational cognitive science and cognitive neuroscience methods(neuroimaging, behavior, and computational models). The position is expected to last 2 years and involves applying social and semantic network models to data from novel online behavioral and fMRI paradigms. Competitive applicants will have a PhD in cognitive science, experimental psychology, mathematical psychology, computational neuroscience, cognitive neuroscience, or a related field. Applicants are ideally looking to build innovative careers in academia or big data analysis in industry. Postdoc candidates that have recently completed (or will complete) their PhD are particularly encouraged to apply, where they will have ample opportunity to be sponsored for regional, national, and European independent research fellowships. Some experience programming in R or Python, designing psychology experiments, or developing computational models are required for this position. Experience or interest using semantic or social network analyses, behavioral models, computational neuroscience models, or fMRI methods is a plus. The position is expected to commence this autumn. To apply, interested candidates should directly contact the group director, Raphael Kaplan at kaplan(a)uji.es with a 1-2 paragraph cover/motivation letter, CV, and contact info for three references by May 22, 2023. Please feel free to direct any questions about the position to Dr. Kaplan. We would be grateful if you could circulate this position to any students or colleagues. Kind regards, Raphael Kaplan -- Raphael Kaplan, PhD CIDEGENT Principal Investigator Departament de Psicologia Bàsica, Clínica i Psicobiologia Universitat Jaume I kaplan(a)uji.es Ext: 7431 web: www.decisionandmemory.org

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PhD in computational and systems neuroscience applied to Parkinson's Disease
by Pablo Jercog 14 Apr '23

14 Apr '23

The Neurobiology of Parkinson's Disease group from the Cajal Institute CSIC (Madrid) is seeking highly motivated Ph.D. candidates interested in developing a Doctoral Thesis in the field of Computational and Systems Neuroscience. The project will require the analyses of in-vivo electrophysiological, calcium imaging, and behavior recordings in mice models of Parkinson’s disease. The position requires: - MS degree in Biomedical Engineering, Bioinformatics, Computer Science, Applied Math/Physics, or equivalent. - Good communication and organizational skills are highly desirable. An English language degree is necessary. - Analytical skills required to resolve problems that entail the use of basic scientific, mathematical, and technical principles are a plus. - Experience with using MATLAB or PYTHON for signal processing is essential . - High average grades from Graduate school and master's will be highly valued. Some related publications: - Espadas I, Ortiz O, García-Sanz P, Sanz-Magro A, Alberquilla S, Solis O, Delgado-García JM, Gruart A, Moratalla R. Dopamine D2R is Required for Hippocampal-dependent Memory and Plasticity at the CA3-CA1 Synapse. Cereb Cortex. 2021 31(4):2187-2204. - García-Sanz P, M F G Aerts J, Moratalla R. The Role of Cholesterol in α-Synuclein and Lewy Body Pathology in GBA1 Parkinson's Disease. Mov Disord. 2021, 36(5):1070-1085. - Suarez LM, Solis O, Sanz-Magro A, Alberquilla S, Moratalla R. Dopamine D1 Receptors Regulate Spines in Striatal Direct-Pathway and Indirect-Pathway Neurons. Mov Disord. 2020;35(10):1810-1821. - Keifman E, Ruiz de Diego I, Pafundo DE, Paz RM, Solís O, Murer MG, Moratalla R. Optostimulation of striatonigral terminals in substantia nigra induces dyskinesia that increases after L-DOPA in a mouse model of Parkinson's disease. Br J Pharmacol. 2019;176:2146-2161. The position is funded for 2 years with an extension based on the outcome starting immediately. Interested candidates, please send the CV to Dr. Rosario Moratalla (moratalla(a)cajal.csic.es) until the position is fulfilled. -- Pablo Jercog, Ph.D. Team Leader Instituto Cajal Avda. Doctor Arce, 37 Madrid, Madrid, 28002, Spain cell: +34 620562808 email: pjercog(a)gmail.com Lab webpage <https://sites.google.com/view/pablojercogteam/>

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CARLsim Spiking Neural Network Simulator Feedback Requested
by Jeffrey L Krichmar 14 Apr '23

14 Apr '23

Dear Colleagues, CARLsim is an efficient, easy-to-use, GPU-accelerated library for simulating spiking neural network (SNN) models with a high degree of biological detail. Originating in 2009, CARLsim is now on its 6th major release. CARLsim supports CPU and GPU simulations ranging from small networks to networks with hundreds of thousands of neurons with millions of synaptic connections. It is supported on Linux, MacOS, and Windows. The software framework is open-source and freely available. More information can be found at: https://sites.socsci.uci.edu/~jkrichma/CARLsim/ This survey is intended for anyone who has used the CARLsim spiking neural network simulator, or who might like to use CARLsim in the future. It will help the CARLsim team develop future versions on the software framework. We appreciate your input and feedback. Please use this link to take our survey. https://forms.gle/GyVsuuey4mDB3bsB7 Thank you, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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Postdoc positions in cognitive neuroscience and computational psychiatry, University of Tuebingen, Germany
by Susan Fischer 13 Apr '23

13 Apr '23

**Apologies for cross-posting** Dear colleagues, We are looking to hire several new postdocs in the "Developmental Computational Psychiatry" lab and the newly established W3 professorship "Computational Psychiatry" led by Tobias Hauser at the University of Tübingen (Germany). The focus of the lab is to better understand the computational and neural mechanisms underlying decision making and learning, and how these processes go awry in patients with mental illnesses. The successful candidates will have the chance to work in a highly dynamic and inspiring environment and to collaborate closely with Prof Peter Dayan and the Max-Planck Institute for Biological Cybernetics. Concretely, we are looking for the following candidates: * Postdoc with clinical psychiatry / psychotherapy background https://lmy.de/yEAwXNlt * Postdoc with computational modelling background https://lmy.de/IKvkBxgL * Postdocs with experimental & neuroimaging (MEG / MRI) background https://lmy.de/JRWXJVfI More information about the positions can be found here: https://devcompsy.org/join-the-lab/ Interested candidates are encouraged to reach out to Tobias Hauser directly to informally discuss the positions. ************************************************ Susan Fischer Coordinator Alexander von Humboldt Professorship Prof Peter Dayan & W3-Professorship ‘Computational Psychiatry’, Prof Tobias Hauser Max Planck Institute for Biological Cybernetics & Eberhard Karls Universität Tübingen & Universitätsklinik für Psychiatrie und Psychotherapie AI Research Building R 20-7/A21 Maria-von-Linden-Str. 6 72076 Tübingen Germany susan.fischer(a)tue.mpg.de ************************************************

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CNS*2023 Call for Tutorials: Deadline Approaching on April 22, 2023
by De Pitta, Maurizio 13 Apr '23

13 Apr '23

Dear colleagues, The deadline to submit your proposal for a Tutorial at this year's CNS*2023 Meeting is approaching on April 22, 2023 (11:59 Eastern Standard Time). The CNS*2023 Meeting will take place in Leipzig, Germany, between July 15—19, 2023. Tutorials will be provided on the first day of the meeting (July 15). Please follow the online guidelines to write your proposal: https://www.cnsorg.org/cns-2023-call-for-tutorials All tutorials must be submitted to: tutorials(a)cnsorg.org Thank you for your consideration. Looking forward to seeing you in Leipzig. M ----- Maurizio DE PITTA CNS*2023 Tutorial Chair Principal Investigator Krembil Research Institute, 4KD-509 60 Leonard Ave, Toronto, ON M5T 0S8, CA +1.416.603.5800 ext. 3290 This e-mail may contain confidential and/or privileged information for the sole use of the intended recipient. Any review or distribution by anyone other than the person for whom it was originally intended is strictly prohibited. If you have received this e-mail in error, please contact the sender and delete all copies. Opinions, conclusions or other information contained in this e-mail may not be that of the organization. If you feel you have received an email from UHN of a commercial nature and would like to be removed from the sender's mailing list please do one of the following: (1) Follow any unsubscribe process the sender has included in their email (2) Where no unsubscribe process has been included, reply to the sender and type "unsubscribe" in the subject line. If you require additional information please go to our UHN Newsletters and Mailing Lists page. Please note that we are unable to automatically unsubscribe individuals from all UHN mailing lists. Patient Consent for Email: UHN patients may provide their consent to communicate with UHN about their care using email. All electronic communication carries some risk. Please visit the UHN website and search “Using email to Communicate with Your UHN Health Care Team” to learn about the risks of electronic communication and how to protect your privacy. You may withdraw your consent to receive emails from UHN at any time. Please contact your care provider, if you do not wish to receive emails from UHN.

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Postdoc at Leiceseter University, UK
by Quian Quiroga, Rodrigo (Prof.) 12 Apr '23

12 Apr '23

We are looking for a postdoc to study single cell recordings in humans, performed in epileptic patients for curative surgery. The project will investigate concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons in the hippocampus and surrounding areas that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga, Cell 2019), which are involved in declarative memory functions. For more details see: https://web.archive.org/web/20220108024112/https://www2.le.ac.uk/centres/cs…<https://web.archive.org/web/20220108024112/https:/www2.le.ac.uk/centres/csn…> The successful candidate will contribute to performing recordings with patients and the analysis / modelling of the data to investigate the role of these neurons in memory. The candidate should have very good quantitative skills (data processing and programing e.g. in Matlab) and a strong background or interest in neuroscience. Informal enquiries are welcome and should be made to Prof. Rodrigo Quian Quiroga (rqqg1(a)le.ac.uk) For more details and to apply, please use this link: https://jobs.le.ac.uk/vacancies/7756/research-associate.html The closing date for the applications is 5th May 2023. Best, Rodrigo Rodrigo Quian Quiroga Centre for Systems Neuroscience University of Leicester http://le.ac.uk/csn

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Granada Seminar Announcement
by Prof. Dr. Joaquín J. Torres 12 Apr '23

12 Apr '23

17th Granada Seminar Announcement and Call for Participation Dear Colleague, You are cordially invited to participate in the 17th Granada Seminar, September 12-15th, 2023, on MACHINE LEARNING AND PHYSICS, Quantum, Classical and Applications. This Granada Seminar is organized by the Institute Carlos I for Theoretical and Computational Physics of the University of Granada. You may find updated information concerning submission of abstracts, grants, lodging, program, etc. at http://granadaseminar.com. Scheduled speakers already include: Ludovic Berthier (France), Juan P. Garrahan (UK), Hilbert J. Kappen (The Netherlands), Seth Lloyd (USA), Pankaj Mehta (USA), Tomaso Poggio (USA), Yuhai Tu (USA), K. Birgitta Whaley (USA). Cristina Masoller (Spain) ... Other talks will be invited from submitted abstracts. Hoping to meet you this September, Sincerely Yours, Pedro L. Garrido Institute Carlos I for Theoretical and Computational Physics University of Granada - 18071, Spain -- Prof. Dr. Joaquín J. Torres Department of Electromagnetism and Physics of the Matter. Institute "Carlos I" for Theoretical and Computational Physics. University of Granada. www.ugr.es/~jtorres

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Postdoc in theoretical neuroscience at Bocconi University (Milan, Italy), only few more days to apply!
by Alessandro Sanzeni 11 Apr '23

11 Apr '23

Hi all, A fully-funded, three-year postdoctoral position in theoretical neuroscience is now available at Bocconi University's Department of Computing Sciences in Milan, Italy. The postdoctoral researcher will have the chance to explore various research topics, such as movement modulation of visual responses in mice, integrating connectomes in mechanistic models of brain functions, and building normative models of neural representations, among others. The research will utilize cutting-edge approaches from statistical physics, nonlinear dynamics, and machine learning, and will be informed by the latest electrophysiological and connectomic data. Prior experience with computational neuroscience is a plus, but it is not required. The postdoc will have the opportunity to become a part of the thriving neuroscience, machine learning, and computer science communities at Bocconi University. To learn more about these communities, please visit https://cs.unibocconi.eu/ and https://bidsa.unibocconi.eu/. The postdoc will be a member of the NSF-funded Accelnet consortium "International network for brain-inspired computation," facilitating international collaborations between a large network of computational neuroscience/AI labs. At Bocconi University, we are committed to fostering a diverse intellectual community and encourage individuals from underrepresented groups to apply for these positions. Applicants should apply via our on-line application system, which can be found at www.unibocconi.eu/post-doc<http://www.unibocconi.eu/post-doc>(Publication nr. 65633) by 23:59 of April 17th, 2023 (Italian time). If you have any questions, please feel free to contact me at alessandro.sanzeni(a)unibocconi.it<mailto:alessandro.sanzeni@unibocconi.it> All the best, Alessandro Sanzeni

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Postdoc position in Computational Biophysics at Göttingen Campus Institute for Dynamics of Biological Networks
by von Behren, Christina 11 Apr '23

11 Apr '23

The Göttingen Campus Institute for Dynamics of Biological Networks (CIDBN)<https://www.uni-goettingen.de/de/608362.html> invites applications for a position of Postdoctoral Researcher in Computational Biophysics (all genders welcome) The position will be full-time (currently 39,8 hours/week), German pay grade 13 TV-L, starting as soon as possible. The CIDBN Department "Physics of Biological Systems", headed by Prof. Fred Wolf, offers a fixed-term contract until June 30, 2025 with the perspective of an extension commensurate with building a competitive track record at the frontier of computational biophysics and neural circuit theory. Information is processed in brain circuits through the coordinated action of large-scale circuits of neurons and synapses. Ultimately, it is the nano-scale molecular architecture of neuronal synapses that can make or break the power of neural circuit computation. Progress in a broad suite of nanoscopy techniques is currently uncovering the molecular-level design of synapses subserving functions such as working memory or sensory coding. The spatio-temporal operation of these nano-machines and the efficiency of their design, however, remain to be understood and are core research aims of the Göttingen Collaborative Research Centre (CRC) 1286 "Quantitative Synaptology". We are inviting applications from theoretical biophysicists, molecular systems biologists, or computational scientists with an ambition to pioneer computational studies of synaptic functional design. We offer a stimulating environment of theoretical neuroscientists, neural data-scientists, and cutting-edge experimentalists associated with CRC 1286. In addition, the institute provides dedicated support for high-performance computing. We are dedicated to supporting the growth of original research personalities at the frontier of computational science and neural circuit theory. The successful applicant will hold an excellent PhD in physics, applied mathematics, computer science, or equivalent, and have a strong interest in high-performance computing in neuroscience or cellular systems biology. We expect excellent analytical and coding skills, interest in working in a transdisciplinary team as well as excellence in scientific writing and reasoning. Experience in non-equilibrium statistical physics, stochastic dynamics, membrane biophysics, ion-channel and biochemical kinetics, buffered Ca-diffusion, and Ca-exocytosis coupling would be advantageous. The Göttingen Campus is a leading center of neuroscience in Europe hosting numerous internationally renowned research institutions, including the University, the University Medical Center, two life science Max Planck Institutes, the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience Göttingen. The CIDBN is a newly founded transdisciplinary institute whose mission is to foster frontier research at the border of the exact and biological sciences. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference. Please send your e-mail application in one single PDF-document, including a letter of motivation, your curriculum vitae with a list of publications, copies of your certificates and contact information of two references by April 11, 2023 to cidbn(a)uni-goettingen.de<mailto:cidbn@uni-goettingen.de> (subject: Postdoc CIDBN). Georg-August-Universität Göttingen, Göttingen Campus Institute for Dynamics of Biological Networks, Heinrich-Düker-Weg 12, 37073 Göttingen. If you have any questions, please contact Prof. Fred Wolf via e-mail: fred.wolf(a)ds.mpg.de<mailto:fred.wolf@ds.mpg.de>. Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Hinweisblatt zur Datenschutzgrundverordnung (DSGVO) https://www.uni-goettingen.de/hinweisdsgvo <https://www.uni-goettingen.de/hinweisdsgvo%20> Best regards, Christina von Behren ------ Goettingen Campus Institute for Dynamics of Biological Networks Bernstein Center for Computational Neuroscience Goettingen University of Goettingen Heinrich-Dueker-Weg 12 37073 Goettingen Germany Tel.: +49-(0)551-39-26674

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ICANN 2023 - Deadline Extension & Last Call for Papers
by Sebastian Otte 10 Apr '23

10 Apr '23

32nd International Conference on Artificial Neural Networks ICANN 2023 https://e-nns.org/icann2023 Dates: 26th to 29th of September 2023 ======================================================================= The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2023 the School of Engineering of Democritus University of Thrace, Greece, will organize ICANN 2023. This will be held at Astoria Capsis Hotel at Heraklion city, Crete, Greece from 26th to 29th of September 2023. The conference will be organized as a HYBRID event. CONFERENCE TOPICS ICANN 2023 is a conference featuring tracks in Brain Inspired Computing, Machine Learning, and Artificial Neural Networks, with strong cross-disciplinary interactions and applications. A non-exhaustive list of topics includes: Machine Learning: Deep Learning, Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models, Recurrent Networks, Ethics of AI Brain Inspired Computing: Cognitive Models, Computational Neuroscience, Self-Organization, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Cognitive Neuroscience, Brain Informatics, Perception and Action, Spiking Neural Networks Neural Applications for: Bioinformatics, Biomedicine, Intelligent Robotics, Neurorobotics, Language Processing, Speech Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neuromorphic Computing and Edge AI, Evolutionary Neural Networks CALL FOR PAPERS All scientific communications presented at ICANN 2023 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature two categories of communications: - oral communications (15'+5') - poster communications. Authors willing to present original contributions in either oral or poster category may submit: - A full paper of maximum 12 pages (including references) to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series with individual DOI. - An extended abstract of maximum 4 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series, without indexing. In case the number of requested oral presentations is larger than the available slots the ICANN scientific committee will select which papers will be reassigned to a poster session. This selection will be based on the coherence of the program and is totally independent of the category of submission. SPECIAL SESSIONS ICANN 2023 will host three special sessions: - Neurorobotics (track NRR 2023) - Recent Advances in Spiking Neural Networks (track ARNN 2023) - The challenge of errors, stability, robustness, and accuracy in deep neural networks (track ESRA in DNN 2023) To submit a paper to one of the special sessions, please select the respective track in the submission system. Please find more details about the special sessions at: https://e-nns.org/icann2023/conference-programme/special-sessions/ SUBMISSION DEADLINE (EXTENDED) - Full paper and extended abstract submission: Apr. 19, 2023 BEST PAPER AWARDS ENNS will sponsor a maximum of four best paper awards. All awards will be presented during the final ceremony. TRAVEL GRANTS The European Neural Network Society sponsors a number of Student Travel Grants covering part of the costs for attending ICANN. Details will be provided on the conference website. ORGANIZATION General Chairs Iliadis Lazaros, Democritus University of Thrace, Greece Plamen Angelov, Lancaster University, UK Program Chairs Antonios Papaleonidas, Democritus University of Thrace, Greece Elias Pimenidis, UWE Bristol, UK Chrisina Jayne, Teesside University, UK Honorary Chairs Stefan Wermter, University of Hamburg, Germany Vera Kurkova, Czech Academy of Sciences, Czech Republic Nikola Kasabov, Auckland University of Technology, New Zealand Organizing Chairs Antonios Papaleonidas, Democritus University of Thrace, Greece Anastasios Panagiotis Psathas, Democritus University of Thrace, Greece George Magoulas, University of London, Birkbeck College, UK Haralambos Mouratidis, University of Essex, UK Award Chairs Stefan Wermter, University of Hamburg, Germany Chukiong Loo, University of Malaysia, Malaysia Communication Chairs Sebastian Otte, University of Tübingen, Germany Anastasios Panagiotis Psathas, Democritus University of Thrace, Greece

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Call for challenge submissions - Intel Neuromorphic Deep Noise Suppression Challenge
by Daniel BD Rubin 07 Apr '23

07 Apr '23

Intel Neuromorphic Deep Noise Suppression Challenge The Intel Neuromorphic Deep Noise Suppression Challenge has begun! Here the fundamental computation will be built on temporally sparse event codes to drastically reduce power requirements to be deployed on dedicated HW (expected about 10x-100x savings compared to other dedicated ASICs). Deep Noise Suppression is a ubiquitous real-time audio processing task with low power and imperceptible latency. A neuromorphic solution offering >10x lower power and smaller model sizes could extend battery lives, improve user experiences, and help shrink form factors of many PC/mobile/wearable devices. We are reiterating on the Microsoft Deep Noise suppression re-framing it into *Neuromorphic computing,* offering a novel neuromorphic baseline example improving on SI-SNR and reducing memory footprint by ~20x on previous MSFT DNS 2022 Challenge Baseline. If you can come up with the best algorithmic solution in simulation within six months or the best Loihi 2 demonstration within a year, you could win $15k and $40k respectively. (See challenge rules for details.) For more information, see: Paper: https://arxiv.org/abs/2303.09503 GitHub: https://github.com/IntelLabs/IntelNeuromorphicDNSChallenge [image: u/dinatrina - [N] Intel Neuromorphic Deep Noise Suppression Challenge] <https://preview.redd.it/51zkapmugpqa1.png?width=800&format=png&auto=webp&v=…>

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Konstanz School of collective behavior 2023 : deadline today.
by Ahmed El Hady 07 Apr '23

07 Apr '23

*Konstanz School of Collective Behavior 2023* *Konstanz, Germany * *Deadline to apply: April 7th, 2023* The Konstanz School of Collective Behavior (KSCB) will take place between /31 July 2023 – 12 August 2023/ at the cluster of excellence Centre for the Advanced Study of Collective Behaviour (CASCB) at the University of Konstanz <https://www.uni-konstanz.de/en/>. Uni Konstanz is an elite University of Excellence and ranked #1 young university in Germany with “Collective Behaviour" <https://www.exc.uni-konstanz.de/collective-behaviour/> as one of five research foci. Konstanz <https://www.konstanz.de/start> is a vibrant, small city located on the border between Germany and Switzerland, on the shores of the Bodensee (Lake Constance). Over two weeks, students will delve deeply into the topic of collective behaviour with lectures, hands-on tutorials, and projects, making it a unique and unforgettable experience. The school faculty will cover collective behaviors across a variety of species from worms ,drosophila, fish to non – human primates and human. A set of tutorials delving into state-of-the-art quantitative methods used to study collective behavior will complement the lectures. At the end of the school, students will work on independent projects guided by our resident faculty. Accommodation will be provided and paid by the organizers. A limited number of travel awards will be provided and a registration fee will be due (300 euros) once the student is admitted to the Konstanz School of Collective Behaviour. The registration fee will be waived to those coming from underrepresented minorities and those in need of financial support. For further information and application, visit our website: _https://www.exc.uni-konstanz.de/kscb/application-procedure/ <https://www.exc.uni-konstanz.de/kscb/application-procedure/> _ __ *KSCB 2023 faculty : *Orit Peleg , Kevin Lala, Einat Couzin, Liang Li, Jake Graving, Armin Bahl, Katrin Vogt, Wataru Toyokawa, Serena Ding, Heiko Hamann *Contact us at: **ahmed.el-hady(a)uni-konstanz.de <mailto:ahmed.el-hady@uni-konstanz.de> * ** *All the best regards,* ** Ahmed El Hady On behalf of the KSCB organizational committee

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Call for Applications for CCN Junior Theoretical Neuroscientist Workshop (June 29-30, 2023)
by Matthew Turner 05 Apr '23

05 Apr '23

*Call for Applications for CCN Junior Theoretical Neuroscientist Workshop* June 29-30, 2023 The Center for Computational Neuroscience at the Flatiron Institute of the Simons Foundation invites applications for our first Junior Theoretical Neuroscientist Workshop. The Junior Theoretical Neuroscientist’s workshop is a showcase for advanced PhD students and postdocs to share cutting-edge research and connect with the theoretical neuroscience community at the Flatiron Institute and the broader NYC area. We expect to select 8 trainees to participate in the workshop over June 29-30, 2023, at the Flatiron Institute (160 5th Ave, New York, NY), providing an extended opportunity to exchange ideas within a small group setting. Each participant will contribute a 30 minute research talk followed by a 40 minute interactive discussion of the technical details behind the work. Through these interactions and unstructured meeting times, participants will receive valuable feedback from their peers as well as the broader Flatiron community. Talks from senior Flatiron researchers and an external keynote speaker are also planned to broaden the scope of the workshop. Our aim is to attract a group of talented theorists studying different topics and coming from diverse backgrounds. We expect the workshop will provide a particularly excellent opportunity for participants in the process of planning their next career stage. *There is no charge to attend the workshop.* Each day, meals will be provided for attendees, and accommodations will be provided for non-local participants. *Application materials* - *CV* - *Abstract for Talk (1 page) * - *1-2 authored papers or preprints related to the talk* - *(Optional) Brief cover letter explaining your interest in the workshop and your current research trajectory* - (Optional) website, google scholar link *Organizers* - Alex Williams <https://www.simonsfoundation.org/people/alex-williams/>, Associate Research Scientist and Project Leader, CCN, and Assistant Professor, Center for Neural Science, NYU - SueYeon Chung <https://www.simonsfoundation.org/people/sueyeon-chung/>, Associate Research Scientist and Project Leader, CCN, and Assistant Professor, Center for Neural Science, NYU - Eero Simoncelli, Scientific Director, CCN, and Silver Professor, NYU - Dmitri Chklovskii, Group Leader, CCN *Deadline Schedule* - Application Deadline: April 30, 2023 - Notification of admittance: May 8, 2023 - Acceptance Deadline: May 19, 2023 Please contact Matthew Turner, the CCN administrative manager ( mturner(a)flatironinstitute.org) with any questions. Cordially, Matthew Matthew B. Turner Manager for Center Administration | Center for Computational Neuroscience Pronouns: any *FLATIRON INSTITUTE* 160 Fifth Avenue Suite 408 New York, NY 10010 917.363.1095 *mobile* *simonsfoundation.org/flatiron/ <http://simonsfoundation.org/flatiron/>*

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Call for Applications - Analytical Connectionism Summer Course
by Lin, I-Chun 05 Apr '23

05 Apr '23

Analytical Connectionism 2023 28 August - 8 September 2023, London Applications now open! Deadline: 15 May 2023 We are pleased to announce the launch of Analytical Connectionism 2023. This 2-week course will bring together the neuroscience, psychology, and machine-learning communities, introducing attendees to mathematical methods for neural-network analysis and connectionist theories of higher-level cognition and psychology. The course will end with a 1.5-day workshop*, during which you will hear from experts about current state-of-the-art and the limits of our current understanding. This course is appropriate for graduate students, postdoctoral fellows and faculty in a variety of fields, from psychology and neuroscience, to physics, computer science, and mathematics. For more details and how to apply, please see https://www.ucl.ac.uk/gatsby/analytical-connectionism-2023. * Limited spaces available for researchers who are not taking the course to attend the workshop. Please visit the webpage for more information. -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL

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Call for abstracts (May 1st), Benzon Symposium 67 – Bringing Circuit for Movement Together, Copenhagen, September 4-7, 2023
by Auke Ijspeert 03 Apr '23

03 Apr '23

Dear computational neuroscientists, The conference below with a wonderful list of speakers might interest researchers working on modeling motor control. Please check it out and submit abstracts if interested. The call for abstract is now open until May 1st. Best regards Auke Ijspeert Benzon Symposium 67 – Bringing Circuit for Movement Together *Copenhagen, September 4-7, 2023* https://benzon-foundation.dk/benzon-symposium-67-bringing-circuit-for-movem… Organizers: Ole Kiehn, Claire Wyart, Auke Ijspeert, Hans Bräuner-Osborne, and Finn Cilius Nielsen The Benzon symposia are international conferences on front line research in medical, pharmaceutical and related sciences funded by the Alfred Benzon Foundation. The idea of the 67^th Benzon Symposium *“Bringing Circuit for Movement Together”* is to bring together the world’s leading scientist together who work in different areas of movement control and regulation. A particular aspect is that the conference will bridge the sensory, cognitive, and emotional aspects of movement control as well as new computation approaches. With its lay-out it will create an intense and interactive environment for both young and experiences scientist. The Symposium will be a four-day scientific meeting, Monday to Thursday from 09:00 to 17:30. The format will be a combination of state-of-the-art lectures by invited speakers, selected oral-poster presentations and poster sessions. *Sessions:* * Functional organization of brainstem circuits controlling breathing and orofacial expression * Functional and molecular organization of spinal circuits controlling locomotion * Brainstem circuits for control of motor behavior * Action selection and motor strategies * Beyond the connectome: neuromodulation * Planning, motor learning, and decision making * Sensory-motor integration * Integration of cognitive brain functions and movement *Confirmed invited speakers:* * Ole Kiehn (DK) * Claire Wyart (F) * Mackenzie Mathis (CH) * Karl Deisseroth (USA) * May-Britt Moser (N) * Ann Graybiel (USA) * Cornelia Bargmann (USA) * Eve Marder (USA) * Rui Costa (P) * Megan Carey (USA) * Eiman Azim (USA) * David Kleinfeld (USA) * Martin Goulding (USA) * Sten Grillner (S) * Abdel ElManira (S) * Tadashi Isa (JP) * Silvia Arber (CH) * Dora Angelaki (USA) * Auke Ijspeert (CH) * Jack Feldman (USA) * Rejean Dubuc (C) * David McLean (USA) * Kimberly Dougherty (USA) * Bence P. Ölveczky (USA) Abstracts: In order to participate in the symposium, *one MUST submit an abstract before the deadline May 1^st , 2023 *(at noon). Please prioritize early registration as registrations are on a first come, first served basis. Abstracts submitted after this deadline will not be taken into consideration. *Submission round opens: April 1, 2023* *Submission round closes: May 1, 2023* Final registration/payment: (provided acceptance of abstract): May 30, 2023 Fee: 5.000 DKK (approx 670 euros, including scientific meeting, hotel accommodation Sunday-Thursday, official meals and social events). More info: https://benzon-foundation.dk/benzon-symposium-67-bringing-circuit-for-movem… -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique Fédérale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert@epfl.ch -----------------------------------------------------------------

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Call for paper: The 16th International Conference on Brain Informatics (BI'23) in Hoboken NJ & NYC (Aug 1-3 2023)
by Feng Liu 31 Mar '23

31 Mar '23

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS *The 16th International Conference on Brain Informatics (BI'23)* August 1 - 3, 2023 Hoboken & New York – USA The key theme: Brain Science meets Artificial Intelligence A Hybrid Conference with both Online and Offline Modes Conference homepage: www.wi-consortium.org/conferences/bi2023/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *** IMPORTANT DATES *** * 01 May 2023: Full paper submission deadline * 20 May 2023: Workshop proposal deadline * 01 Jun 2023: Abstract presentation submission deadline **** Confirmed Keynote Speakers **** - *Professor Emery N. Brown* Member of the National Academy of Sciences Member of the National Academy of Engineering Member of the National Academy of Medicine MIT, Massachusetts General Hospital, USA - *Professor Bin He* Fellow of International Academy of Medical and Biological Engineering (IAMBE) Fellow of American Institute of Medical and Biological Engineering (AIMBE) Fellow of Biomedical Engineering Society (BMES), and IEEE Member of the National Academy of Inventors Carnegie Mellon University, USA - *Professor John Ngai* Director of NIH BRAIN Initiative NIH BRAIN Initiative, USA - *Professor Helen Mayberg* Member of the National Academy of Sciences Member of the National Academy of Medicine Member of the National Academy of Inventors Member of the American Academy of Arts and Sciences Mount Sinai Medical Center, USA - *Professor Vinod Goel* Author of monographs: “Sketches of thought” and “Reason and Less: Pursuing Food, Sex, and Politics” Dept. of Psychology, York University, Canada - *Professor Amy Kuceyeski* Director of Computational Connectomics (CoCo) at Weill Cornell Medicine, Cornell University, USA *** Local information *** *The location of the BI2023 in the beautiful campus of Stevens Institute of Technology in Hoboken, New Jersey, located on the west bank of Hudson River overlooking Manhattan. Stevens is close to a group of finest universities such as Princeton University (1.5 hours drive), Columbia University (25 min drive), New York University (20 min drive) and Yale University (1h 40 min drive). *Convenient transportation: (1) Nearby there are three major airports: Newark, JFK, and LaGuardia with direct flights to all major cities in the world. (2) 15 minutes to Time Square by bus. *An economic accommodation option: $100 dorm room option is available in the newly completed University Complex Center Building with a view of Manhattan (limited spaces) ***About the conference*** The International Conference on Brain Informatics (BI) series has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The 16th International Conference on Brain Informatics (BI'23) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. *** Topics and Areas *** The key theme of the conference is "Brain Science meets Artificial Intelligence". The BI'23 solicits high-quality original research and application papers (full paper and abstract presentation submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing ***Journal Opportunities*** High quality BI conference papers may be nominated to submit an extended version for a fast track review and publication at the Brain Informatics Journal (https://braininformatics.springeropen.com/) an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. *Real-time Journal's Impact Factor: 8.5*. *** Paper Submission and Publications *** Paper Submission link: http://wi-consortium.org/conferences/bi2023/paper%20submissions%20and%20pub… 9-12 pages are encouraged for the regular papers including figures and references in Springer LNCS Proceedings format ( https://www.springer.com/us/computer-science/lncs/conference-proceedings-gu…) Overlength pages will be charged for 200$ per page. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all workshop & special sessions' full length papers) will be published by Springer as a volume of the Springer-Nature LNAI Brain Informatics Book Series ( https://link.springer.com/conference/brain) Abstract Submission (Only for Workshops/Special Sessions): Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 500 words. Note: The abstract will not be included in the conference proceedings to be published by Springer. Special Issues & Books: Workshop organizers can be invited to contribute a book publication in the Springer-Nature Brain Informatics & Health Book Series ( https://www.springer.com/series/15148) or a special issue at the Brain Informatics Journal. *** Workshop & Special Sessions *** Proposal Submissions: BI'23 will be hosting a series of workshops and special sessions featuring topics relevant to the brain informatics community on the latest research and industry applications. Papers & Presentations: A workshop/special session typically takes a half day (or full day) and includes a mix of regular and invited presentations including regular papers, abstracts, invited papers as well as invited presentations. The paper and abstract submissions to workshops/special sessions will follow the same format as the BI conference papers and abstracts. Proposal Guidelines: Each proposal should include: 1) workshop/special session title; 2) length of the workshop (half/full day); 3) names, main contact, and a short bio of the workshop organizers; 4) brief description of the workshop scope and timeline; 5) prior history of the workshop (if any); 6) potential program committee members and invited speakers; 7) any other relevant information. *** IMPORTANT DATES *** * 01 May 2023: Full paper submission deadline * 20 May 2023: Workshop proposal deadline * 01 Jun 2023: Abstract presentation submission deadline * 03 Jun 2023: Final paper and abstract acceptance notification * 20 Jun 2023: Accepted paper and abstract registration deadline * 1-3 Aug 2023: The Brain Informatics Conference Contact Us: http://wi-consortium.org/conferences/bi2023/contact.html

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Postdoc/PhD positions in Toulouse (France): Deep learning models of the Global Workspace
by Rufin VanRullen 30 Mar '23

30 Mar '23

Multiple postdoctoral and PhD positions are available in an ERC-funded project exploring deep-learning implementations of the Global Workspace theory. We are seeking highly motivated and dedicated students and post-docs to join our group in Toulouse, France. Successful candidates will have formal training in AI, Computer Science or related fields (e.g. computational neuroscience), and a keen interest in cognitive neuroscience. Our ERC Advanced Grant "GLoW" aims to take inspiration from neuroscience and cognitive theories to build deep neural network models of cognition, capable of integrating or "grounding" information across sensory and linguistic modalities, and of displaying flexible cognitive behavior. We will also use advanced AI models to improve the decoding and understanding of brain activity. Details on the ideas that will be developed in the project can be found in this Opinion paper <https://www.cell.com/trends/neurosciences/fulltext/S0166-2236(21)00077-1>. The project is headed by Rufin VanRullen (CNRS, Toulouse, France), with external advisors Ryota Kanai (Araya, Tokyo, Japan) and Murray Shanahan (ICL/Deepmind, London, UK). Our lab <https://rufinv.github.io/> is part of the CerCo Institute <https://cerco.cnrs.fr/en> as well as the recently created Artificial and Natural Intelligence Toulouse Institute (ANITI) <https://aniti.univ-toulouse.fr/en/>. Our team has many opportunities to collaborate with neuroscientists, computer scientists, linguists, roboticists etc. We have direct access to fMRI recording facilities and to in-house (GPU) computing clusters as well as research-dedicated supercomputers. Typical appointments for post-docs are for 2 years (renewable for a 3rd or 4th year), and 3-years for PhD. The beginning post-doc salary is 2,590 Euros/month (net), and can reach 3,200 Euros/month (net) for more experienced post-docs. The PhD stipend is 2,000 Euros/month (net). We expect to hire several candidates by the Fall of 2023, but will continue to recruit exceptional applicants in the foreseeable future. To apply, please send a CV and a letter <mailto:rufin.vanrullen@cnrs.fr> explaining your research interests and motivations to: rufin.vanrullen [at] cnrs.fr Any questions should also be directed to the same address. --

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NWB Workshops: User Days, Developer Days, and NeuroDataReHack
by Ryan Ly 28 Mar '23

28 Mar '23

Dear colleagues, We are pleased to inform you about upcoming Neurodata Without Borders (NWB) <http://nwb.org/> workshops: NWB User Days, NWB Developer Days, and NeuroDataReHack. NWB User and Developer Days July 24th - 29th, 2023 HHMI Janelia Research Campus <https://www.janelia.org/>, VA, United States Registration deadline: April 1st, 2023 The NWB User Days (July 24th - 26th) will train users how to convert their data to NWB and publish it on the DANDI Archive <http://dandiarchive.org/>, starting from the basics and proceeding to NWB extensions, advanced data engineering techniques, and tools for analysis and visualization of NWB data. The NWB Developer Days (July 27th - 29th) will bring neuroscientists, tool builders, and research software engineers together to further the development of the NWB software ecosystem, including the data standard, core software packages, official tools, and community tools. The event is free to attend. Meals and accommodations will be provided, and you may request support for travel. To learn more and register for one or both, please visit the NWB User and Developer Days website <https://neurodatawithoutborders.github.io/nwb_hackathons/HCK15_2023_Janelia/> . NeuroDataReHack 2023 September 5th - 8th, 2023 Hotel Andalucia Center in Granada, Spain <https://www.hotelescenter.es/en/hotel-andalucia-center-granada/> Application deadline: May 1st, 2023 The goal of NeuroDataReHack is to train participants to generate new insights from existing neurophysiology data through secondary analysis. The DANDI Archive <http://dandiarchive.org/> now has 120+ neurophysiology datasets in the Neurodata Without Borders <http://nwb.org/> format spanning many species, brain areas, task types, and imaging modalities. These include high-value datasets, e.g. from The Allen Institute, the MICrONS project, and the International Brain Laboratory, as well as diverse contributions from neuroscience labs around the world. NeuroDataReHack will teach attendees how to maximally utilize the data and computational resources of the DANDI Archive to incorporate existing data into their scientific workflows. Example projects include but are not limited to: - Determine whether your result is present in another species or brain area. - Showcase the capabilities of your tool or analysis on existing data from another lab. - Explore follow-up questions to a study. Following the event, participants will be invited to apply for a Kavli Foundation Neurodata Discovery Award, which awards $50,000 (USD) of funding to continue projects that come out of the NeuroDataReHack event. This event is held as a satellite of the IBRO World Congress 2023 <http://ibro2023.org/>. Attendance of IBRO 2023 is not a requirement for application. The event is free to attend. Meals and accommodations will be provided to attendees. Learn more and apply at the NeuroDataReHack 2023 website <https://neurodatawithoutborders.github.io/nwb_hackathons/HCK16_2023_Granada…> . If you have any questions, please contact us at contact(a)nwb.org. Kind regards, Ben Dichter, CatalystNeuro <http://catalystneuro.com/> Oliver Ruebel, Lawrence Berkeley National Laboratory <https://www.lbl.gov/> -- Ryan Ly Scientific Data Engineer Lawrence Berkeley National Laboratory 1 Cyclotron Road Mail Stop 59R4104 Berkeley, CA 94720 Email: rly(a)lbl.gov Pronouns: he/him

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Graduate student workshop at Washington University in St Louis
by Goodhill, Geoffrey 28 Mar '23

28 Mar '23

Opportunity for senior graduate students! The newly established Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) at Washington University in St. Louis invites applications from senior graduate students, who are using primarily theoretical and computational techniques to study the principles of brain organization and function, for its inaugural Computational Neuroscience Next Generation symposium, September 18-20th 2023: https://ctcn.wustl.edu/next-gen-symposium The CTCN will pay travel expenses for students selected to present. Participants will engage with researchers at CTCN-participating departments over two days, including: - Presenting their work during the symposium, which will also feature leading WashU neuroscientists. - One-on-one meetings with faculty. - Informal discussions with the Washington University computational and theoretical neuroscience community. Being selected as a Next Generation Symposium speaker is an exciting opportunity for graduate students to share their research with Washington University computational neuroscientists, to receive feedback, to explore postdoctoral opportunities including CTCN postdoctoral fellowships (https://ctcn.wustl.edu/postdoc-fellows) and to form professional and intellectual relationships with peers, mentors and potential future collaborators. The application form is available at https://ctcn.wustl.edu/next-gen-symposium. The application deadline is April 28th. Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 660 S. Euclid Avenue St. Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

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MBL Methods in Computational Neuroscience Course
by Stephen A. Baccus 25 Mar '23

25 Mar '23

Applications are open for the Methods in Computational Neurosciencecourse at the Marine Biology Laboratory in Woods Hole, MA. The course will run from July 26 to August 23, 2023. The online application form and additional information can be found at: https://www.mbl.edu/education/advanced-research-training-courses/course-off… The course application deadline is *March 31*. The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. 2023 Course Directors: Stephen Baccus, Stanford University Xiao Jing Wang, New York University 2023 Faculty: Larry Abbott, Columbia University Emery Brown, MIT Nicolas Brunel, Duke University Randy Buckner, Harvard University Anne Churchland, UCLA Claudia Clopath, Imp. College London Marlene Cohen, U. of Pittsburgh Shaul Druckmann, Stanford University Uri Eden, Boston University Bard Ermentrout, U. of Pittsburgh Adrienne Fairhall, U. of Washington Michale Fee, MIT Loren Frank, UCSF Stefano Fusi, Columbia University Surya Ganguli, Stanford University Paul Glimcher, New York University Mark Goldman, UC Davis Nancy Kopell, Boston University Eve Marder, Brandeis University John Murray, Yale University Srdjan Ostojic, ENS - PSL Yiota Poirazi, IMBB-FORTH David Redish, U. Minnesota Terry Sejnowski, Salk Institute Sebastian Seung, Princeton University Reza Shadmehr, Johns Hopkins Univ. Haim Sompolinsky, Hebrew University Nelson Spruston, Janelia Res., HHMI Nao Uchida, Harvard University Byron Yu, Carnegie Mellon University Greg Wayne, DeepMind

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Postdoctoral positions in sensory coding and memory - University of Sheffield
by Andrew Lin 22 Mar '23

22 Mar '23

Why are brains the way they are? Do neural circuits function in an “optimal” way, and if so, in what sense are they optimal? How do brains encode sensory information and form associative memories? Andrew Lin's lab at the University of Sheffield is seeking postdoctoral research associates to study these fundamental questions in neuroscience in the olfactory system of the fruit fly Drosophila. We aim to discover neuronal plasticity mechanisms that underlie associative memory and the maintenance of optimal sensory coding, in the Drosophila mushroom body (the fly’s olfactory memory centre). Of special note to the comp-neuro email list, we are particularly looking for at least one of the postdocs we hire to have expertise in computational neuroscience. We seek to tie computational models of what plasticity rules would be ‘optimal’ for memory, with experiments testing whether the real brain actually uses these ‘optimal’ rules. This research will use a range of techniques including: in vivo two-photon calcium imaging, electrophysiology, fly genetics, behavioural experiments, computational modelling and building custom equipment. The exact project can be tailored to your background, but expertise in at least some of these techniques is essential, along with a PhD in a relevant field (or equivalent experience), excellent communication skills and an ability to work in a team. We welcome self-motivated, innovative, and creative applicants from a range of academic backgrounds, including biology, neuroscience, experimental psychology, computer science, physics and engineering. Closing date: 4 April 2023 Apply at this link: https://bit.ly/LinPostdoc2023 More about the lab: https://www.aclinlab.org/ Expected start date: 1 September 2023 (earlier or later start date may be possible, happy to discuss) We welcome international applicants and the university will reimburse the post-holder for many visa expenses: https://www.sheffield.ac.uk/jobs/induction/before/international/visas For informal enquiries, contact Andrew: andrew.lin(a)sheffield.ac.uk -- Andrew Lin School of Biosciences University of Sheffield Firth Court Western Bank Sheffield S10 2TN +44 (0) 114 222 3643 http://www.aclinlab.org

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Postdoc in computational neuroscience/machine learning at the University of Nottingham (UK)
by Mark Humphries 22 Mar '23

22 Mar '23

The Humphries’ lab at the University of Nottingham is seeking a postdoc to study the neural basis of foraging, in collaboration with the groups of Matthew Apps (Birmingham) and Nathan Lepora (Bristol). Whether choosing to leave one shop for another, switching TV programs, or seeking berries to eat, humans and other animals make innumerable stay-or-leave decisions, but how we make them is not well understood. The goal of this project is to develop new computational accounts of stay-or-leave decisions, and use them to test hypotheses for how humans, primates, and rodents learn and make these decisions. The work will draw on and develop new reinforcement learning and accumulation (e.g. diffusion) models of decision-making. The Humphries’ group researches fundamental insights into how the joint activity of neurons encodes actions in the world (https://www.humphries-lab.org) This post will join our developing research program into how humans and other animals learn to make the right decisions (e.g. https://doi.org/10.1101/2022.08.30.505807) The post is until 14th February 2025. Nottingham University welcomes researchers from around the globe. As part of this support, the university will provide financial support to the post-holder for all visa costs. Unsure if you're a good fit for the post? Got any questions? Then contact Mark for a chat: mark.humphries(a)nottingham.ac.uk. For full details of the role and how to apply https://jobs.nottingham.ac.uk/vacancy.aspx?ref=SCI092323 Closing date: March 30th 2023 This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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Postdoctoral position in theoretical neuroscience at Bocconi University (Milan, Italy)
by Alessandro Sanzeni 21 Mar '23

21 Mar '23

Hi all, A fully-funded, three-year postdoctoral position in computational neuroscience is now available at Bocconi University's Department of Computing Sciences in Milan, Italy. The postdoctoral researcher will have the chance to explore various research topics, such as movement modulation of visual responses in mice, integrating connectomes in mechanistic models of brain functions, and building normative models of neural representations, among others. The research will utilize cutting-edge approaches from statistical physics, nonlinear dynamics, and machine learning, and will be informed by the latest electrophysiological and connectomic data. Prior experience with computational neuroscience is a plus, but it is not required. The postdoc will have the opportunity to become a part of the thriving neuroscience, machine learning, and computer science communities at Bocconi University. To learn more about these communities, please visit https://cs.unibocconi.eu/ and https://bidsa.unibocconi.eu/. The postdoc will be a member of the NSF-funded Accelnet consortium "International network for brain-inspired computation," facilitating international collaborations between a large network of computational neuroscience/AI labs. At Bocconi University, we are committed to fostering a diverse intellectual community and encourage individuals from underrepresented groups to apply for these positions. Applicants should apply via our on-line application system, which can be found at "www.unibocconi.eu/post-doc<http://www.unibocconi.eu/post-doc>" (Publication nr. 65633) by 23:59 of April 17th, 2023 (Italian time). If you have any questions, please feel free to contact me at alessandro.sanzeni(a)unibocconi.it All the best, Alessandro Sanzeni

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Open position: Postdoctoral position in Human Psychophysics in Tuebingen, Germany
by Pavlovic, Maria 20 Mar '23

20 Mar '23

Postdoctoral position in Human Psychophysics (m/f/d) (TVöD Bund E13, 100%) The Department of Sensory and Sensorimotor Systems (PI Prof. Li Zhaoping) at the Max Planck Institute for Biological Cybernetics and at the University of Tübingen is currently looking for highly skilled and motivated individuals to work on projects aimed towards understanding visual attentional and perceptual processes using fMRI/MRI, TMS and/or EEG methodologies. The framework and motivation of the projects can be found at: <https://www.lizhaoping.org/zhaoping/AGZL_HumanVisual.html> https://www.lizhaoping.org/zhaoping/AGZL_HumanVisual.html. The projects can involve, for example, visual search tasks, stereo vision tasks, visual illusions, and will be discussed during the application process. fMRI/MRI, TMS and/or EEG methodologies can be used in combination with eye tracking, and other related methods as necessary. The postdoc will be working closely with the principal investigator and other members of Zhaoping's team when needed. Responsibilities: * Conduct and participate in research projects such as lab and equipment set up, data collection, data analysis, writing reports and papers, and presenting at scientific conferences. * Participate in routine laboratory operations, such as planning and preparations for experiments, lab maintenance and lab procedures. * Coordinate with the PI and other team members for strategies and project planning. * Coordinate with the PI and other team members for project planning, and in supervision of student projects or teaching assistance for university courses in our field. Requirements: * Ph.D. in neuroscience, psychology, computer science, physics or a related natural science or engineering field. * Publications in peer-reviewed journals. * Highly skilled in techniques of human visual psychophysics such as MATLAB programming for experiments, experimental data taking, data analysis, and paper writing. * Familiarity with hardware and techniques in eye tracking, fMRI/MRI, EEG, TMS, tDCS/tACS, and other related techniques such as in carrying out fMRI experiments is highly desirable. * Experience in project management is highly desired. * Strong command of English; knowledge of German is a plus. Who we are: We use a multidisciplinary approach to investigate sensory and sensory-motor transforms in the brain <https://www.lizhaoping.org> (www.lizhaoping.org) Our approaches consist of both theoretical and experimental techniques including human psychophysics, fMRI imaging, electrophysiology and computational modelling. One part of our group is located in the University, in the Centre for Integrative Neurosciences (CIN), and the other part is in the Max Planck Institute for Biological Cybernetics as the Department for Sensory and Sensorimotor Systems. You will have the opportunity to learn other skills in our multidisciplinary group and benefit from interactions with our colleagues in the university as well as internationally. This job opening is for the CIN or the MPI working group. The position (salary level TVöD-Bund E13, 100%) is for a duration of two years. Extension or a permanent contract after two years is possible depending on situations. We seek to raise the number of women in research and teaching and therefore urge qualified women to apply. Disabled persons will be preferred in case of equal qualification. Your application: The position is available immediately and will be open until filled. Preference will be given to applications received by May 31st, 2023. We look forward to receiving your application that includes (1) a cover letter, including a statement on roughly when you would like to start this position, (2) a motivation statement, (3) a CV, (4) names and contact details of three people for references, (5) if you have them, transcripts from your past and current education listing the courses taken and their grades, (6) if you have them, please also include copies of your degree certificates, (7) you may include a pdf file of your best publication(s), or other documents and information that you think could strengthen your application. Please use pdf files for these documents (and you may combine them into a single pdf file) and send to jobs.li(a)tuebingen.mpg.de <mailto:jobs.li@tuebingen.mpg.de> , where also informal inquiries can be addressed. Please note that applications without complete information in (1)-(4) will not be considered, unless the cover letter includes an explanation and/or information about when the needed materials will be supplied. For further opportunities in our group, please visit <http://www.lizhaoping.org/jobs.html> www.lizhaoping.org/jobs.html _________________________________ Maria Pavlovic Assistant to Prof. Zhaoping Li Office Hours: 07.00-13.00 Max Planck Institute for Biological Cybernetics Max-Planck-Ring 8 D-72076 Tuebingen phone +49 7071 601 609 fax +49 7071 601 619 <mailto:maria.pavlovic@tuebingen.mpg.de> maria.pavlovic(a)tuebingen.mpg.de <http://www.lizhaoping.org/> www.lizhaoping.org

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RA Position in Intracranial EEG in New York
by Tostaeva, Gelana 16 Mar '23

16 Mar '23

The human intracranial EEG Laboratory at The Feinstein Institutes for Medical Research – Hofstra Northwell School of Medicine in New York is looking for one research assistant to start as soon as possible and by June 2023. The successful candidate will help with the lab’s research into (1) improving the identification of functional and pathological brain regions in individuals suffering from epilepsy, (2) the neural mechanisms of cognition, and (3) the characterization of macroscale human brain networks. The lab works exclusively with patients being evaluated for epilepsy surgery using methods such as invasive stereo EEG and electrocorticography recordings (iEEG, ECoG), anatomical MRI, fMRI, DTI, and direct electrical brain stimulation. The responsibilities will include assisting with the collection and analysis of the aforementioned data, project management, assistance with grant applications and progress reports, help with analysis of neural and imaging data using existing scripts (Matlab, Python), further development of those scripts (depending on coding and signal processing proficiency), and helping to present lab findings at conferences and in journals. The relative weighting of responsibilities can be adjusted depending on the interest of the applicant. If there is interest, the RA will have her/his own scientific project with dedicated time to work on it. Past research assistants in the lab have presented their work at clinical and basic research conferences, co-authored lab publications, and are working on first-author publications. They have gone on to medical schools or PhD programs after spending 1-3 years in the lab. This unique position will expose the successful applicant to basic and clinical neuroscience as well as neurosurgery, neurology, and neuropsychology. The location of the institute allows living either in the suburban neighborhoods of Long Island or in vibrant Brooklyn or Queens. Some employees also commute from Manhattan. It is a great opportunity for recent post-bacs interested in medical school or graduate school in neuroscience/biomedical engineering. ------------- Qualifications ------------- Minimum: -B.A./B.S./B.E. in an appropriate discipline (e.g., neuroscience, psychology, biomedical engineering, computer science, physics) -1 year commitment Desirable: -Prior experience working with neuroimaging, EEG/MEG, or brain stimulation data -Previous experience working with patients -Previous work in a research laboratory that shows evidence of independent scholarship, problem-solving, and motivation -Experience with at least one programming language (MATLAB, R, or Python) and statistical analyses -2-year commitment preferred For more information about the position, please send your CV along with your questions to Drs. Stephan Bickel (sbickel(a)northwell.edu) and Ashesh Mehta (amehta.northwell.edu) You can also find the job posting here<https://urldefense.com/v3/__https://jobs.northwell.edu/job-3/17988989/resea…>. We are looking forward to hearing from you! -- Gelana Tostaeva she/her/hers Research Associate Human Brain Mapping Lab The Feinstein Institutes for Medical Research The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this communication is not the intended recipient, or the employee or agent responsible for delivering this communication to the intended recipient, you are hereby notified that any dissemination, distribution, copying or disclosure of this communication and any attachment is strictly prohibited. If you have received this transmission in error, please notify the sender immediately by telephone and electronic mail, and delete the original communication and any attachment from any computer, server or other electronic recording or storage device or medium. Receipt by anyone other than the intended recipient is not a waiver of any attorney-client, physician-patient or other privilege.

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PhD position in Computational Psychology of Perception at Stockholm University
by Pawel Herman 16 Mar '23

16 Mar '23

Dear colleagues, We are looking to hire a doctoral student in computational psychology with focus on olfactory perception and cognition as part of the interdisciplinary collaboration between the Department of Psychology at Stockholm University (SU) and the Division of Computational Science and Technology at KTH Royal Institute of Technology (KTH), Stockholm, Sweden. This joint research effort led by Prof. Jonas Olofsson at SU and Dr. Pawel Herman at KTH offers an opportunity to leverage the potential of computational network models to gain mechanistic insights into perceptual and cognitive phenomena. The project will contribute to the development of the next-generation psychologists capable of flexibly utilising a wide spectrum of experimental and computational techniques to pursue increasingly challenging questions in human perception, research that has tangible clinical implications. As mentioned, the project will focus on the sense of smell as a model system. More information about the positions can be found here: https://www.su.se/english/about-the-university/work-at-su/available-jobs/ph… Interested candidates are encouraged to reach out to Jonas Olofsson (jonas.olofsson AT psychology.su.se) and/or Pawel Herman (paherman AT kth.se) directly to informally discuss the positions. Best regards Pawel Herman and Jonas Olofsson ------------------------------------ Paweł Herman Associate Professor, PhD, Docent KTH Royal Institute of Technology School of Electrical Engineering and Computer Science (EECS) Division of Computational Science and Technology (CST) Lindstedtsvägen 5 114 28 Stockholm, Sweden room 4442 (4th floor, D-building) tel. +46 8 790 6513

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[CFP, Deadline Extended] IEEE T-MBMC - Special Issue on Bio-Chem-ICTs
by Murat Kuşcu 16 Mar '23

16 Mar '23

(Apologies if you receive multiple copies.) IEEE Transactions on Molecular, Biological and Multi-Scale Communications Special Issue on Bio-Chem-ICTs: Synergies between Bio/Nanotechnologies and Molecular Communications https://www.comsoc.org/publications/journals/ieee-tmbmc/cfp/bio-chem-icts-s… ----------------------- *Paper Submission Deadline Extended:* *31 March 2023* ----------------------- CALL FOR PAPERS Molecular Communications (MC) is a fundamental means of information exchange ubiquitously observed in nature. It has recently attracted the attention of researchers who have been working in information and communication technologies (ICT) and striving to create cooperative ‘nanonetworks’ of artificial nanomachines, which can be interfaced with or immersed in natural biological systems. Application of ICT tools to this natural modality of communications has laid the foundations of bio-inspired, engineered MC systems, and also contributed to the understanding of natural MC networks. It is no wonder that such fundamental form of communications has been a topic of significant interest in many diverse research fields beyond ICT, such as synthetic biology, systems chemistry, micro/nanorobotics, network medicine, biophysics and physiology, biochemical sensing, lab- and organ-on-chips, bio-interfaces, molecular and biological computing, drug discovery, design and delivery. However, different languages are typically adopted by different fields to refer to the same phenomenon that the ICT researchers call molecular communications, such as chemical communications, biological/cell signaling, interaction networks, which all fundamentally denote information transfer via mass transport and/or biochemical reactions and interactions. Despite the significant overlap in the problem and the application domain, not only the language but also the research methodologies and the solution approaches are diverse, partly due to the apparent lack of strong links between different research communities. On the other hand, closer interactions between these disciplines can create important synergies that can help collaboratively target more challenging research problems and develop unprecedented applications, where the power of true interdisciplinarity is unleashed. These interactions can also help better identify the common motifs in the heterogeneous sea of molecular communication problems and scenarios comprising both biotic and abiotic systems, and help reframe and standardize the way we approach biological and bio-inspired communications in the hope of enabling a common scientific and engineering language. The aim of this Special Issue is to facilitate such interactions by bringing together the contributions of prominent researchers from diverse fields that share a common denominator with the ICT approach to MC. Reflecting different perspectives on natural and engineered molecular communications, and appreciating the diversity of approaches and methodologies, the Special Issue will ultimately help identify the potential interaction pathways between different research areas and communities, that can lead to fruitful collaborations and synergy. To this end, we solicit original contributions (technical or position/survey/tutorial/perspective articles) on a very diverse set of topics including but not limited to: ** Molecular communication among synthetic cells, and between synthetic and natural cells ** Molecular communication among nanoparticles, and between nanoparticles and natural/synthetic cells ** Collective micro/nanorobotic swarms and active matter based on molecular communications ** Physical limits to communication, sensing, and information processing in natural and synthetic bio/nano systems ** Network medicine, communication and network biomarkers of diseases ** Engineering of protein-protein and other molecular interactions, de novo design of proteins and artificial receptors for sensing and molecular communications ** Semantic information in biological networks ** Bio-interfaces (e.g., neural interfaces) relying on molecular interactions, redox reactions, and ionic carriers ** New sensing techniques and chemical & biosensor architectures targeting dynamic bio/chemical signals ** New nanomaterials and device architectures for bio-nano interfaces, and micro/nanomachines & molecular machines capable of molecular communications ** Drug design techniques exploiting molecular interactions, network-based approaches to drug discovery ** Smart drug delivery systems and techniques ** Biological and molecular computing ** Signaling aspects of lab-on-a-chip, organ-on-a-chip, multi-organ-on-a-chip, body-on-a-chip, disease-on-a-chip applications --------------------------- IMPORTANT DATES Manuscript Submission Deadline: 31 March 2023 (Extended Deadline) First Notification: 30 April 2023 Acceptance Notification: 30 May 2023 Final Manuscript Due: 30 June 2023 Publication Date: September 2023 --------------------------- GUEST EDITORS Murat Kuscu Department of Electrical and Electronics Engineering Koc University, Turkey Email: mkuscu(a)ku.edu.tr Pasquale Stano Department of Biological and Environmental Sciences and Technologies University of Salento, Italy Email: pasquale.stano(a)unisalento.it Gregory F. Payne Institute for Bioscience and Biotechnology Research University of Maryland, USA Email: gpayne(a)umd.edu Bige D. Unluturk School of Computer Science and Electronic Engineering Michigan State University, USA Email: unluturk(a)msu.edu Malcolm Egan University of Lyon, Inria, INSA-Lyon, CITI, France Email: malcolm.egan(a)inria.fr Michael T. Barros School of Computer Science and Electronic Engineering University of Essex, UK Email: m.barros(a)essex.ac.uk --------------------------- SUBMISSION GUIDELINES Prospective authors should submit their manuscripts following the IEEE TMBMC guidelines ( https://www.comsoc.org/publications/journals/ieee-tmbmc/information-for-aut… ). Authors should submit a manuscript through Manuscript Central ( https://mc.manuscriptcentral.com/tmbmc) ---------------------------

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Job Opening: PhD/PostDoc at TU Berlin – Machine Learning for Wearable Brain-Body Imaging
by von Lühmann, Alexander, Dr. 15 Mar '23

15 Mar '23

Job Opening: PhD/PostDoc at TU Berlin – Machine Learning for Wearable Brain-Body Imaging The independent research group "Intelligent Biomedical Sensing (IBS)<http://www.ibs-lab.com/mission-statement>" headed by Dr.-Ing. Alexander von Lühmann<https://www.bifold.berlin/people/dr-alexander-von-luehmann.html> is hiring! We are looking for a highly motivated researcher to join us in interdisciplinary projects that focus on the development of novel methods for the identification and extraction of robust multimodal biomarkers for neuronal and peripheral physiological activation - towards personalized digital health. The IBS Lab develops miniaturized wearable neurotechnology and body-worn sensors, as well as machine learning methods for sensing signals from the brain and body under natural conditions of the everyday world. The group focuses on multimodal analysis of physiological signals in diffuse optics (e.g. fNIRS) and biopotentials (e.g. EEG). Working field: * Independent and responsible research on ML-based methods and models for robust neurotechnology in mobile applications. * Exploration of models and methods for physiology-informed multimodal brain imaging and single-trial analysis * Development of multimodal machine learning-based methods for signal analysis, signal decomposition and identification of physiological transfer functions * Scientific publishing, pursuit of doctoral degree is possible. * Teaching duties Employer: TU Berlin/BIFOLD Salary grade: TV-L 13 Berliner Hochschulen Starting date: at the earliest possible Closing date: 24.03.2023 Full job posting: IV-112/23<https://tub.stellenticket.de/de/offers/161900/?search%5Bfulltextsearch%5D=I…> | BIFOLD<https://www.bifold.berlin/about-us/opportunities/research-assistant-tv-l-13> | IBS Lab<http://www.ibs-lab.com/get-involved> __________________________ Dr.-Ing. Alexander von Lühmann Head of Independent Research Group Intelligent Biomedical Sensing (IBS) [cid:image001.png@01D95722.774D00A0] BIFOLD-ML | Machine Learning Department Technische Universität Berlin Fakultät IV – EECS MAR 4-1 / Raum 4.045 Marchstr. 23, 10587 Berlin Telefon: +49 (0)30 314-77079 www.ibs-lab.com<http://www.ibs-lab.org/> www.bifold.berlin<http://www.bifold.berlin/> www.ml.tu-berlin.de<http://www.ml.tu-berlin.de/>

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Postdoctoral Position at Johns Hopkins: Selective attention in deep neural networks
by Ernst Niebur 14 Mar '23

14 Mar '23

The computational neuroscience group, headed by Prof. Ernst Niebur, in the Department of Neuroscience of Johns Hopkins University is recruiting one or more postdoctoral fellows. This is a collaborative project with the Johns Hopkins Electrical and Computer Engineering Department and the Allen Institute for Brain Research in Seattle, WA. Project: Deep learning has achieved impressive performance in many tasks which is driven by the capacity for backpropagation to “assign credit” to a vast array of parameters. This achievement is obtained at the cost of large energy consumption and many needed examples for learning. Furthermore, machine learning performance still pales in comparison with the energy efficiency and capacity to generalize when compared to biological systems. In this project, we will use mechanisms of selective attention, akin to those used in biological cognition, to constrain and direct the task of credit assignment during learning. Start date: As soon as possible. Affiliation: The computational neuroscience group (http://cnslab.mb.jhu.edu) is part of the Krieger Mind/Brain Institute at Johns Hopkins University and the Johns Hopkins University School of Medicine. Requirements: * PhD in computational neuroscience, computer science, or a closely related field preferred. Candidates with a PhD in physics, mathematics, engineering, psychology, ... with a proven track record of creative thinking will be considered * Solid quantitative/mathematics training * Solid programming skills * Experience in deep learning strongly preferred * US citizens/permanent residents preferred * Women and members of underrepresented minorities strongly preferred Please send applications via email to niebur(a)jhu.edu, including * Complete CV including contact information, transcripts and a list of publications * Names, email addresses, and phone numbers of three references

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Reminder! Fast Lane to Slow Science – Online panel discussion to celebrate International Women's Month – 20 March 2023, 13h GMT / 14h CET
by Sidarus, Nura 14 Mar '23

14 Mar '23

Hi, Can you please advertise a reminder for the following event. Thank you in advance, Nura Sidarus. ----- Fast Lane to Slow Science Online panel discussion to celebrate International Women's Month Monday, 20th March 2023 – 13h GMT / 14h CET You are warmly invited to join us in celebrating International Women's Month with an online panel discussion on "Fast Lane to Slow Science". If "fast science is bad for scientists and bad for science" (Frith, TiCS, 2019), how can we move towards a Slow Science? What are the implications for the evaluation of science and scientists? And for equity and diversity? Join our panel of world leading scientists, who have been shaping science, science evaluation and science policy in Europe, to discuss these questions and more: * Professor Dame Uta Frith, Institute of Cognitive Neuroscience, University College London, UK. Author of "Fast Lane to Slow Science<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.cell.…>" (TiCS, 2019). * Professor Sylvie Lorente, College of Engineering, Villanova University, USA. Member of the ERC Scientific Council. * Professor Toma Susi, Faculty of Physics, University of Vienna, Austria. Member of the Steering Board of the Coalition for Advancing Research Assessment. Details and registration: https://www.eventbrite.co.uk/e/womens-month-celebration-panel-discussion-on…<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.event…> Organised and chaired by Dr Nura Sidarus, Royal Holloway University of London, and facilitated by Dr María Jesús Maraver, University of Granada. Conceived by Women in Cognitive Science - Europe<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.faceb…> & supported by Department of Psychology, Royal Holloway, University of London<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.faceb…>. This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free.

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Postdoctoral position in computational analyses of calcium imaging data, IIT (Italy)
by Stefano Panzeri 13 Mar '23

13 Mar '23

Profs Tommaso Fellin (IIT, Genoa, Italy) and Stefano Panzeri (UKE, Hamburg, Germany) are seeking candidates for a fully funded postdoctoral position in computational neuroscience at the Italian Institute of technology. The successful candidate will conduct research in the experimental Optical Approaches to Brain Functions Group led by Fellin at ITT ( https://www.iit.it/it/web/optical-approaches-to-brain-function) in close collaboration with the computational laboratory of Panzeri at UKE (Department of Excellence for Neural Information Processing https://www.uke.de/english/departments-institutes/institutes/department-of-…) We will investigate, by developing and using advanced data analysis methods and biophysically plausible network models, how populations of neurons and of astrocytes in the brain interact to encode information and use it to produce appropriate behaviors. Our laboratories have established a close and fruitful experimental-theoretical collaboration for a decade, and offer a wide range of interdisciplinary expertise in computational neuroscience, including both advanced neural analysis techniques and neural network modeling. We also offer thriving research environments, including many international collaborations several funded by the NIH Brain Initiative, the Simons Foundation, the European Union. This gives successful candidates strong opportunities for interdisciplinary training and scientific growth. We seek candidates holding a PhD in a numerate or neuroscientific discipline, with a solid computational background and a keen interest in neuroscience. They must be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and be willing to interact with both experimental and theoretical neuroscientists. The job is available from May 2023 and applications will be considered as soon as they are received. Candidates are encouraged to email us ( tommaso.fellin(a)iit.it and stefano.panzeri(a)gmail.com) as soon as possible, to inform us of the interest for the position and initiate a discussion about research projects. For recent publications from our labs relevant to this project, see: Panzeri S, et al (2022) The structures and functions of correlations in neural population codes. *Nature Reviews Neuroscience* 23: 551-567 Curreli S, et al (2022) Complementary encoding of spatial information in hippocampal astrocites. PLoS Biology 20: e3001530. Valente, M. et al (2021), Correlations enhance the behavioral readout of neural population activity in association cortex. *Nature Neuroscience*, 24, 975–986 Sità, et al A deep-learning approach for online cell identification and trace extraction in functional two-photon calcium imaging. Nat Commun 13, 1529 (2022) Antonini A, et al (2020) Extended field-of-view ultrathin microendoscopes for high-resolution two-photon imaging with minimal invasiveness *eLife* 9:e58882. Panzeri S, et al (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behaviour. *Neuron* 93: 491-507 Pica G. et al (2017) Quantifying how much sensory information in a neural code is relevant for behavior, *Neural Information Processing Systems (NeurIPS 2017)* Thanks Stefano Panzeri and Tommaso Fellin

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REMINDER – Application deadline approaching for the Systems Vision Science Summer School
by Pavlovic, Maria 13 Mar '23

13 Mar '23

Systems Vision Science Summer School & Symposium: Aug. 14-24, in Tübingen, Germany -------------------------------- REMINDER APPLICATION DEADLINE MARCH 31, 2023! Applications are invited for a brand new summer school designed for everyone interested in gaining a systems level understanding of biological vision. We plan a coherent, graduate-level, syllabus on the integration of experimental data with theory and models, featuring lectures, guided exercises and discussion sessions. The summer school will end with a Systems Vision Science symposium on frontier topics, with talks and posters by additional participants. All summer school participants are invited to attend, and welcome to submit contributions to the symposium. For participation and contribution to the symposium only, click here <https://summerschool.lizhaoping.org/contributions-for-symposium/> to find more information. -------------------------------- Invited lecturers and speakers include: Assaf Breska, Peter Dayan, Andrea van Doorn, Wolfgang Einhäuser-Treyer, Karl Gegenfurtner, Ziad Hafed, Tadashi Isa, Jan Koenderink, Kristine Krug, Hanspeter Mallot, Laurence Maloney, Pascal Mamassian, Antje Nuthmann, Daniel Osorio, Andrew Parker, Jenny Read, Alexander Schütz, Manuel Spitschan, Kristina Visscher, Li Zhaoping. We are pleased to announce our symposium's keynote speaker: Marty Sereno. The keynote speech will be on August 22, 2023 -------------------------------- Please apply via https://summerschool.lizhaoping.org/application <https://summerschool.lizhaoping.org/application/> by March 31, 2023. Please check out our webpage https://summerschool.lizhaoping.org to find more out about the program, our invited lecturers/speakers, and other details. Please direct inquiries to svs.summerschool(a)tue.mpg.de <mailto:svs.summerschool@tue.mpg.de> -------------------------------- Organizing team: Li Zhaoping Ulf Lüder Maria Pavlovic Junhao Liang Max Planck Institute for Biological Cybernetics University of Tuebingen <http://www.lizhaoping.org> www.lizhaoping.org

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Barcelona summer school for Advanced Modelling of Behavior (BAMB!), July 19-27, 2023
by Klaus Wimmer 11 Mar '23

11 Mar '23

Applications for the Barcelona summer school for Advanced Modelling of Behavior (BAMB!<http://www.bambschool.org/>) are still open until March 15. Thanks to additional funding, we have reduced the course fee to 750 Eur. A limited number of course fee waivers and travel grants will also be available. Scientists from underrepresented groups and countries are especially encouraged to apply. BAMB! teaches advanced techniques in model-based analysis of behavior (humans and other species) to cognitive and computational neuroscientists at PhD and early career levels. This will be achieved through structured lectures, talks, hands-on tutorials and group projects aimed at making knowledge obtained directly applicable to the participants' own research. We want the trainees to acquire both the conceptual basis and the technical skills that will enable them to pursue a full modelling approach on their own when they come back to their lab. The course is intended for PhD students and postdocs in cognitive, systems and computational neuroscience with a solid background in computational/quantitative analysis to benefit maximally from the advanced training offered by the course. Proficiency in either Python or Matlab is also required. We seek a nice blend of experimentalists (cognitive psychology / neuroscience) and theoreticians (with or without experience in cognitive modeling). The school is organized by the Centre de Recerca Matemática<http://www.crm.cat/>. Organizers: Chris Summerfield (Oxford / Deepmind) Marion Rouault (Paris Brain Institute) Klaus Wimmer (CRM, Barcelona) Heike Stein (ENS, Paris) Alex Hyafil (CRM, Barcelona) Confirmed Faculty: Anne Collins (UC Berkeley) Elaine Corbett (UC Dublin) Maria Eckstein (Deepmind) Alex Hyafil (CRM, Barcelona) John Krakauer (John Hopkins) Marion Rouault (Paris Brain Institute) Chris Summerfield (Oxford / Deepmind) Valentin Wyart (ENS Paris) Klaus Wimmer (CRM, Barcelona) Dates and location: July 19-27, downtown Barcelona, Spain Applications are open until March 15. CONFIDENTIALITY AND PRIVACY NOTICE: This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction. We inform you that the personal data contained in this document, and in particular your contact information and professional position, are protected in accordance with current legislation on the protection of personal data. Centre de Recerca Matemàtica (CRM) will process the data only for the purpose of managing the relationship you have with us. The data will be kept while the purpose for which it was collected remains. You can exercise at any time your rights to access, rectification and erasure of your personal data, as well as the right to object and restriction of processing. For this, you must contact CRM by email to dpo(a)crm.cat.

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Postdoc position in Computational / Statistical Neuroscience @NYU
by Chen, Zhe 10 Mar '23

10 Mar '23

Postdoctral Fellow in Computational and Statistical Neuroscience New York University School of Medicine New York, NY Applications are now being accepted for two postdoctoral fellow positions to develop innovative methods to study the rodent hippocampal-neocortical recordings in rodents and human patients. The applicant will work closely with Dr. Zhe Sage Chen and Professor Gyuri Buzsaki at the New York University School of Medicine, with cross-disciplinary training in computational and systems (experimental) neuroscience. The applicant will have great opportunities to interact with a large and growing neuroscience community at the NYU campus, including the Neuroscience Institute<http://neuroscience.med.nyu.edu/>, Center for Neural Science<http://www.cns.nyu.edu/>, Department of Neuroscience & Physiology<http://neuro-physio.med.nyu.edu/>, and Department of Psychiatry<http://psych.med.nyu.edu/>. This position is available from immediately, and will be funded by the NIH for 3 years. Applications must have a PhD degree in Neuroscience, Engineering (Biomedical or Electrical), Statistics, Physics, or a related discipline. The desired applicant is expected to be highly motivated and work independently as well as cooperatively with other colleagues in the research projects. Ability to learn new techniques and resolve new research challenges is essential. Previous training in some areas, such as neural data analysis, machine learning, computer programming (MATLAB/Python) is preferred. To apply, please send an email along with (i) CV; (ii) a cover letter describing research accomplishments and interests; (iii) the names and contact information of two references to: Dr. Zhe Sage Chen (zhe.chen(a)nyulangone.org<mailto:zhe.chen@nyulangone.org?subject=Application>).

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Call for workshops for INCF Neuroinformatics Assembly 2023
by INCF 10 Mar '23

10 Mar '23

*Call for workshops for INCF Neuroinformatics Assembly 2023* Do you have a great workshop idea? Let us know! <http://bit.ly/INCFAssembly23WSideas> We are inviting all members of the INCF community to submit proposals for workshop themes to be included in the virtual INCF Neuroinformatics Assembly 2023 this autumn. Please note that submission of workshop themes does not require submitters to commit to being the workshop chair. This year’s theme is Transparency in FAIR Neuroinformatics. Here are some topics we would like to see represented at Assembly: - "Opening the black box”: How to make AI/ML interpretable for Neuroinformatics - “A FAIR share”: The feasibility and scalability of data sharing from the infrastructure POV - A FAIR roadmap for knowledge graphs and ontologies - “Is this FAIR?”: Transparency in EDI & career development & management - From repositories to workflows: A FAIR roadmap for building and endorsing tools We encourage several forms of workshops: - Classical workshops that focus on a particular research area within neuroinformatics, including proposals for continuations of workshops that were held at previous general INCF Assemblies or discipline-specific conferences (e.g., OHBM, OCNS, FENS, etc…) - Workshops that focus on emerging neuroinformatics topics and applications or on open research questions and challenges - Cross-discipline workshops that foster the exchange of ideas between groups that are unaware of each other’s research - Birds-of-a-feather sessions - Other topics of interest to the neuroinformatics community Submit your ideas no later than March 24 using this form <https://forms.gle/d9z6BicgWNdWvN2b7>. /The INCF Secretariat

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Advanced Medical Imaging Workshop in Python - Los Angeles - April 23-28 2023
by sreekar chigurupati 09 Mar '23

09 Mar '23

Dear Researcher, DIPY is an internationally-recognized software used for processing structural (3D) and diffusion (4D) imaging data. Funded by the NIH and used in surgical planning for over a decade. Join us for an exciting in person workshop hosted in Santa Monica, Los Angeles. April 23-28. https://dipy.org/workshops/latest This disruptive workshop provides 5 days of hands-on tutorial sessions in Python opening the box of the internal mechanisms of state-of-the-art ML algorithms. Our comprehensive program is designed to equip you with the skills and knowledge needed to master the latest techniques and tools in structural and diffusion imaging. Do not miss learning about our new set of ML-driven pre-processing tools! See figure above! Our team of expert instructors will guide you through the fundamentals of diffusion theory, data pre-processing, fiber tracking, and much more. You'll have the opportunity to learn from industry-leading professionals, ask questions, and network with like-minded peers. Register today to secure your spot in this highly anticipated event! Thank You, DIPY team

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Women in Memory Research - Deadline approaching - 15.03.23
by Vinita Samarasinghe 09 Mar '23

09 Mar '23

A final reminder regarding our Women in Memory Research program. The deadline for applications is 15.03.23 (as is the deadline for submitting abstracts for GEM 2023). The event below is for women who are interested in pursuing a PhD in memory research in neuroscience or philosophy. Please be kind enough to pass on this message to interested students. ------------------------------------------------------------------------ Women in Memory Research 2023 The research unit “Constructing scenarios of the past” seeks to promote women in memory research. The program WiMR 2023 is made possible through a grant from the German Research Foundation (DFG) and collaboration with the Ruhr University Bochum. Come and learn what an academic career looks likeand discover its advantages. During your week at the Ruhr University Bochum (RUB)you will participate in GEM 2023 <https://for2812.rub.de/gem2023/> where you will hear about the latest research in generative episodic memory, be given the opportunityto present your research and meet with female scientists from the field. Before and after GEM you'll be introduced to support structures, funding measures and the FOR 2812 labs <https://for2812.rub.de/projects/>. Our participating senior scientists include: Ali Boyle, London School of Economics; Pernille Hemmer, Rutgers University; Peggy St. Jacques, University of Alberta; Kristina Liefke, Ruhr University Bochum; Ricarda Schubotz, University of Munster; Maria Wimber, University of Glasgow. Sounds exciting? *Who can apply:* Womenmasters students in their final year of study and recently graduated masters students who are looking into an academic career in the area of memory research/neuroscience. Applicants must have excellent grades and be able to communicate in English. Selection of participants is competitive. We only have 12 spots! *How to apply:* Send your application including a one page letter of motivation, a current CV, masters transcripts and a letter of recommendation from one of your professors. Your application should be sent, as a single PDF document, to Vinita Samarasinghe @ for2812+gem(a)rub.de <mailto:for2812@rub.de> by March 15, 2023 with the subject line "WiMR - application". If you need child care or any other support please note this in your application. Applications will be evaluated and ranked after the deadline has passed and notifications will be sent out by 31.03.2023. If you accept, you must register for GEM 2023. *What to expect from us:* We will provide bed and breakfast (single occupancy), cover travel costs (restrictions apply) and provide some meals. The program is offered in English. *What we expect from you:* You are present for all of the program and that you present your current research in the form of a poster at GEM 2023. *Program:* 12.06.2023 AM Welcome to Bochum PM GEM 2023 13.06.2023 GEM 2023 14.06.2023 AM GEM 2023 PM Fireside chat with senior memory researchers 15.06.2023 AM Resilience Workshop PM Funding and support structures 16.06.2023 Lab visits *Questions? * Visit our website at https://for2812.rub.de/wimr2023 for more information. Please feel free to get in touch with Vinita Samarasinghe (for2812(a)rub.de <mailto:for2812@rub.de>) if you have any questions. -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email:samarasinghe@ini.rub.de

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Special Session on Recent Advances in Spiking Neural Networks at ICANN 2023 - Call for Papers
by Sebastian Otte 07 Mar '23

07 Mar '23

Special Session on Recent Advances in Spiking Neural Networks at the 32nd International Conference on Artificial Neural Networks (ICANN) 2023 - Call for Papers Conference Dates: 26th to 29th of September 2023 ======================================================================= The special session invites contributions on recent advances in spiking neural networks. Spiking neural networks have gained substantial attention recently as a candidate for low latency and low power AI substrate, with implementations being explored in neuromorphic hardware. This special session aims to bring together practitioners interested in efficient learning algorithms, data representations and applications. Methodological as well as applied contributions are solicited, including topics like (non-exhaustive list): - Spiking Neural Network Models - Spike Response Models - Temporal Codes - Learning Algorithms for SNNs - Neuromorphic Computing Contributions (full papers or extended abstracts) have to be submitted through the regular ICANN submission system at: https://e-nns.org/icann2023/ Select track ASNN 2023 (Recent Advances in Spiking Neural Networks Special Session). Accepted papers to the special session will appear in the proceedings of the ICANN 2023 conference. IMPORTANT DATES: - Full paper and extended abstract submission: Apr. 9, 2023 - Notification of acceptance: 30th of June 2023 - Conference dates: 26 – 29 September 2023 PROGRAM COMMITTEE: t.b.a. ORGANIZERS: Prof. Dr. Sander Bohté Machine Learling Centrum Wiskunde & Informatica (CWI) Amsterdam, The Netherlands Dr. Sebastian Otte Neuro-Cognitive Modeling University of Tübingen Tübingen, Germany Please find a PDF version of this call at: https://bit.ly/3mkXeJt

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[Meetings] 2023 Nengo Summer School Call For Applications (deadline March 15)
by Michael Furlong 07 Mar '23

07 Mar '23

[All details about this school can be found online at https://www.nengo.ai/summer-school] The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 8th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. This two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Summer school participants will be given on-site access to neuromorphic hardware and will learn to run high-level applications using Nengo! More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems and has been used to build what is currently the world's largest functional brain model, Spaun, which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at the last in-person summer school, check out this short video: https://youtu.be/5w0BzvNOypc We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. ***Application Deadline: March 15, 2023*** Format: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, modeling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: * interface Nengo with various kinds of neuromorphic hardware (e.g. Loihi 1, SpiNNaker) * build perceptual, motor, and sophisticated cognitive models using spiking neurons * model anatomical, electrophysiological, cognitive, and behavioural data * use a variety of single cell models within a large-scale model  * integrate machine learning methods into biologically oriented models * interface Nengo with cameras and robotic systems * implement modern nonlinear control methods in neural models * and much more… Date and Location: June 4th to June 16th, 2023 at the University of Waterloo, Ontario, Canada. Applications: Please visit http://www.nengo.ai/summer-school, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact Michael Furlong (michael.furlong(a)uwaterloo.ca) The school is also partly supported by ONR and ABR, Inc. We look forward to hearing from you!

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Konstanz School of Collective Behavior 2023 Deadline Approaching .
by Ahmed El Hady 07 Mar '23

07 Mar '23

*Konstanz School of Collective Behavior 2023* *Konstanz, Germany * *Deadline to apply: March 30th, 2023* The Konstanz School of Collective Behavior (KSCB) will take place between /31 July 2023 – 12 August 2023/ at the cluster of excellence Centre for the Advanced Study of Collective Behaviour (CASCB) at the University of Konstanz <https://www.uni-konstanz.de/en/>. Uni Konstanz is an elite University of Excellence and ranked #1 young university in Germany with “Collective Behaviour" <https://www.exc.uni-konstanz.de/collective-behaviour/> as one of five research foci. Konstanz <https://www.konstanz.de/start> is a vibrant, small city located on the border between Germany and Switzerland, on the shores of the Bodensee (Lake Constance). Over two weeks, students will delve deeply into the topic of collective behaviour with lectures, hands-on tutorials, and projects, making it a unique and unforgettable experience. The school faculty will cover collective behaviors across a variety of species from worms ,drosophila, fish to non – human primates and human. A set of tutorials delving into state-of-the-art quantitative methods used to study collective behavior will complement the lectures. At the end of the school, students will work on independent projects guided by our resident faculty. Accommodation will be provided and paid by the organizers. A limited number of travel awards will be provided and a registration fee will be due (300 euros) once the student is admitted to the Konstanz School of Collective Behaviour. The registration fee will be waived to those coming from underrepresented minorities and those in need of financial support. For further information and application, visit our website: _https://www.exc.uni-konstanz.de/kscb/application-procedure/ <https://www.exc.uni-konstanz.de/kscb/application-procedure/> _ __ *KSCB 2023 faculty (still more to come ) : *Orit Peleg , Kevin Lala, Einat Couzin, Liang Li, Jake Graving, Armin Bahl, Katrin Vogt, Wataru Toyokawa, Serena Ding, Heiko Hamann *Contact us at: **ahmed.el-hady(a)uni-konstanz.de <mailto:ahmed.el-hady@uni-konstanz.de> * ** *All the best regards,* ** Ahmed El Hady On behalf of the KSCB organizational committee

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Postdoc & PhD positions in TU Darmstadt, Germany
by Angela Yu 06 Mar '23

06 Mar '23

Postdoc & PhD positions in TU Darmstadt, Germany After 14 years as faculty at the University of California (San Diego), Prof. Angela Yu has recently joined TU Darmstadt as an Alexander von Humboldt AI Professor. Immediately available, and for the foreseeable future, are multiple positions for: Postdocs PhD students Master’s students Interns Research assistants Prof. Yu’s group conducts research at the intersection of natural and artificial intelligence. Her group uses mathematically rigorous and algorithmically diverse tools to understand the nature of representation and computations that give rise to intelligent behavior, with particular regard to the challenges posed by inferential uncertainty and the opportunities afforded by volitional movement. Using diverse machine learning and statistical tools, e.g. Bayesian statistical modeling, control theory, reinforcement learning, and information theory, theoretical frameworks and mathematical models are developed to explain various aspects of cognition important for intelligence: perception, attention, decision-making, learning, cognitive control, active sensing, economic behavior, and social interactions. Some example research questions currently pursued in the group include: - How does the ability to move and interact with the world facilitate perception, decision making, and representation learning? - Are human attention and working memory capacity limitation bugs or features? - How do humans represent and process faces? - How does the brain learn a general-purpose representation with so little labeled data and in the absence of concrete tasks? - How are humans so good at problem solving and logical reasoning, and yet also prone to certain fallacies and illusion in cognition & perception? - What do IQ tests actually measure and what light can they shed on AI research? - What roles do intrinsic motivations such as curiosity and emotions play in intelligence? With her expertise in computational neuroscience and cognitive science, as well as her previous experience in computational modeling and collaborations with psychologists, psychiatrists, neuroscientists, computer scientists, and mathematicians, Dr. Yu will strengthen and complement research at the Centre for Cognitive Science at TU Darmstadt and at hessian.AI, the Centre for Artificial Intelligence of Hesse based in Darmstadt. Her group members are encouraged and expected to collaborate extensively with preeminent researchers in cognitive science, AI, neuroscience, and related fields in Darmstadt and nearby research centers (Frankfurt, Mainz, Marburg, Gießen, Heidelberg, Tübingen, etc.). Positions are available immediately, and will remain open until filled. Salaries are commensurate with experience and expertise, and highly competitive with U.S. and European standards. Written and spoken fluency in English is required. Fluency in German is not. Interested candidates should send to Prof. Yu (angela(a)angelayu.org <mailto:angela@angelayu.org>) a CV, transcript(s), contact info for 2-4 references, as well as a statement of research detailing why the candidate and Prof. Yu’s group are a particularly good fit for each other.

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Information Decomposition Workshop, Dresden, June 5-9, 2023
by Ari Pakman 06 Mar '23

06 Mar '23

Dear colleagues, We are pleased to inform you about our upcoming workshop on partial information decomposition (PID). The workshop will be called Decomposing Multivariate Information in Complex Systems (DeMICS 23) and will take place during June 5th - 9th, 2023 at the Max Planck Institute for the Physics of Complex Systems (MPI PKS) in Dresden. To participate please apply via the application link on the conference website: https://www.pks.mpg.de/demics23 Please forward this to anyone you consider interested in partial information decomposition, especially if you are unable to attend yourself. Please note the approaching application deadline on March 31st. Applications before this date will be considered preferentially. For successful applicants, meals and accommodation will be provided by the MPI PKS, with a small fee of 140 EUR asked for to cover social dinners, excursion and coffee breaks. We look forward to seeing you in Dresden! Kind regards, Conor Finn Ari Pakman Michael Wibral

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Professor / Associate Professor in Biomedical Engineering at the University of Wollongong, Australia
by Manish Sreenivasa 03 Mar '23

03 Mar '23

*Permanent/Continuing, full-time appointment – Further details and application portal <https://ejgl.fa.ap1.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1…>* The School of Mechanical, Materials, Mechatronic and Biomedical Engineering at UOW, Australia, is committed to research and teaching excellence through its world-class undergraduate and postgraduate programs in a range of exciting areas of technology and sustainability. Lead, guide and coordinate the development of Biomedical Engineering at UOW, in one of the top Engineering faculties in Australia, ranked 6th in Australia and 83rd in the world (THE, World Rankings by Subject 2022). This position will be a discipline lead in the School of Mechanical, Materials, Mechatronic, and Biomedical (MMMB) Engineering, which offers a unique mix of study and research areas embracing sustainable manufacturing, green power, robotics, medical devices and much more. The Biomedical Engineering discipline has been established to focus on research and development of novel medical and diagnostic devices including prosthetics, orthotics, assistive and rehabilitation devices, artificial organs, tools, systems and technology to deliver substantial healthcare benefit and improve the quality of life for individuals. Research expertise based on any of the following sub-fields is preferred: - Bionics and neuroengineering - Brain-computer interfaces or brain-machine interfaces, - Rehabilitation engineering - Biosensing and instrumentation - Tissue/cell biomechanics/ mechanotransduction - Artificial organs and implants - Musculoskeletal modelling - Physiological modelling - Electroceuticals - Prosthetics and orthotics - Orthopaedic Engineering (especially in orthopaedic biomechanics) *See full details of the offer, position details and contact information here. <https://ejgl.fa.ap1.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1…>* https://ejgl.fa.ap1.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1…

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HBP Summit Satellite Events Day
by HBP Education 02 Mar '23

02 Mar '23

HBP Summit Satellite Events Day 27 March 2023, 09:00 - 18:30 | Marseille, France Registration is now open and free of charge! The HBP Summit Satellites Events Day is taking place before the HBP Summit offering free trainings on EBRAINS tools and eServices, as well as opportunities to network with experts and peers in a beautiful setting of Palais du Pharo in Marseille. Registration for all participants is free of charge but mandatory. For further information and registration: https://summit2023.humanbrainproject.eu/satellite-events-day/ <https://summit2023.humanbrainproject.eu/satellite-events-day/>

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PhD position in Neurotechnology at the Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Germany
by Reichenbach, Tobias 02 Mar '23

02 Mar '23

The Chair for Sensory Neuroengineering at the new Department Artificial Intelligence in Biomedical Engineering is looking for a PhD student to work on an innovative project in neurotechnology. You will develop novel methods to measure acoustic emissions from the inner ear (otoacooustic emissions) related to speech, and evaluate these emissions regarding cognitive factors such as selective attention. To this end, you will employ advanced methods of signal processing as well as machine learning. The developed methods can have applications in future diagnostics of hearing impairment as well as in neurofeedback for future hearing aids. AI at the interface to neurobiology is a highly timely topic of immense societal relevance. We offer you the possibility to actively shape this exciting and rapidly developing field. We support your work through: - A lively scientific environment within the Department and the possibility to cooperate with excellent partners at the Friedrich-Alexander-University Erlangen-Nürnberg, at Imperial College London as well as with industry partners - An excellent environment to conduct leading science and to realise own scientific ideas - An excellent training in the development of AI methods for neuronal data - Development of your personal strengths, for instance through extensive courses on personal development The renumeration is according to Group 13 of the German public service (TV-L). FAU is the most innovative university in Germany and ranks second among the most innovative European universities. It is located in one of the most attractive regions in Germany. Erlangen is a bicycle-friendly city with 100,000 inhabitants, former home of the Huguenots as well as a key location for industry. It is close to Nuremberg, a city with a population of half a million and a metropolitan flair. The mixture of academia, innovative companies, art and culture makes the region the perfect place for creative minds, keen athletes and nature lovers. To apply, please send a letter detailing your motivation, a CV, copies of your degrees and details of two referees. Please combine all documents into a single pdf and send them per email with subject “Application PhD student” to Prof. Dr. Tobias Reichenbach (tobias.j.reichenbach(at)fau.de<http://fau.de>). ------------------------------------------- Prof. Dr. Tobias Reichenbach Chair of Sensory Neurotechnology Department Artificial Intelligence in Biomedical Engineering (AIBE) Friedrich-Alexander-University (FAU) Erlangen-Nürnberg Werner-von-Siemens-Strasse 61 91052 Erlangen https://www.neurotech.tf.fau.eu/

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PhD Position, Moreno Lab, Comp Neuro, Barcelona
by Ruben Moreno Bote 01 Mar '23

01 Mar '23

*PhD Position in* *Computational Neuroscience, Ruben Moreno-Bote Lab * *Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain* 1 fully funded PhD position is available in the group of Theoretical and Cognitive Neuroscience of Ruben Moreno-Bote in the Center for Brain and Cognition at the University Pompeu Fabra, Barcelona, Spain. We are looking for excellent candidates with Physics, Mathematics or Machine Learning background interested in developing theory for the brain and mind and artificial intelligence. Knowledge of Computational Neuroscience or Neuroscience would be ideal, but it is not necessary. The candidate will develop state of the art theory and models of cognition and intelligence by using neural networks, reinforcement learning, machine learning, data analysis and multielectrode neural data. The main research topic of our lab is decision-making, from a multidisciplinary angle. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our lab (https://www.upf.edu/web/tcn) forms part of a larger network of neuroscience labs in Barcelona. Financial support is provided by HHMI and the Spanish MINECO. APPLICATION: A full CV in pdf format and an extract of grades for degree and master studies should be sent to the following address: ruben.moreno(a)upf.edu DEADLINE: until the position is filled STARTING DATE: any time between September 2023 and January 2024 -- Rubén Moreno Bote Serra Húnter Professor and ICREA Academia Director of the Theoretical and Cognitive Neuroscience Group Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella c\ Ramon Trias Fargas, 25-27 Mercè Rodoreda building, 3th floor (room 24.331) 08005 Barcelona, Spain https://www.upf.edu/web/tcn https://twitter.com/morenobote <https://twitter.com/morenobote?lang=ca>

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PhD position in Natural Language Processing and Machine Learning at IT University of Copenhagen (deadline April 1st)
by Stefan Heinrich 28 Feb '23

28 Feb '23

Full-time PhD position at IT University of Copenhagen, under the umbrella of the Pioneer Centre for AI, Denmark, starting in Summer-Autumn 2023. Topic: Modelling compositional language structures across languages. The origin of language development of human beings can at least be traced back to two sources: the survival needs for communication and the unique wiring of human brains. The two factors can co-develop with each other through life-span. Nevertheless, languages from the whole world are with tremendous diversity. Yet, given the fact that all human brains share very similar structures and connection patterns, which presumably afford for similar ways to encode and decode information from the external world, there likely exist some hidden common structures, like some word orders or numbers of phonemes in a language, that are shared at least within, or even across, language families. An important constraint for these similar structures comes from the theory that the brain is processing language embodied in all our senses and via processing streams that are also involved in a range of other cognitive functions from specific motor control up to general problem-solving. This suggests that language comprehension and production, in fact, developed on top of existing information processing schemes, which in turn might have similarly shaped how the different language families have developed. A particular mechanism that was recently hypothesized to give rise to the structure of the brain’s sequence processing is temporal compositionality and chunking, which seemingly operate on language sequences as well. With this PhD project, we want to identify and describe the specific, latent temporal encoding structures that may constrain the temporal features of spoken language. In this project, the candidate will study structure patterns in spoken language and investigate how to build a model that can extract temporal characteristics of speech across different languages. Since the project is interdisciplinary, active collaboration within the Pioneer Centre for AI, as well as with experts in computational neuroscience and developmental psychology in Germany and Japan are planned. Application details: The ideal candidate should have a Masters in Computer Science, Computational Neuroscience, Computational Linguistics, Developmental Psychology, Cognitive Science or related fields, as well as a strong interest in interdisciplinary research, at the intersection of Natural Language Processing, Machine Learning, and Psycholinguistics. The salary scale will be in accordance with the Ministry of Finance’s agreement with the Danish Confederation of Professional Associations for a full-time position. As a PhD Student at the Pioneer Centre for AI you will have extraordinary access to computing resources, international researchers across disciplines, courses and events at the centre and meaning collaboration with industry, the public sector etc. ITU is a teaching and research-based tertiary institution concerned with information technology (IT) and the opportunities it offers. The University offers an informal working environment, a varied everyday life, and a highly motivated, competent, diverse, and international faculty. Copenhagen has a strong educational system, a rich cultural life, universal healthcare, good childcare, and a well-functioning infrastructure. The city is also among the world’s most liveable cities according to the Economist Global Liveability Index. Candidates will work together with Stefan Heinrich (stehe(a)itu.dk) and Barbara Plank (bapl(a)itu.dk) and are encouraged to get in contact for details. Link to further application information: https://www.aicentre.dk/phd-openings - and application link: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181… Application deadline: 01 April 2023, at 23:59 CET. -- *************************** Dr. Stefan Heinrich Assistant Professor Computer Science Department IT University of Copenhagen https://stefanheinrich.net/ ***************************

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Tenure-track position in computational neuroscience
by Asohan Amarasingham 28 Feb '23

28 Feb '23

Dear Colleagues, The Department of Psychology at the City College of New York (CCNY) of the City University of New York (CUNY) is currently soliciting applications for a tenure-track assistant professorship in computational neuroscience. Review of applications will begin on March 3, 2023. Please consider submitting an application. Best regards, Asohan Amarasingham FACULTY VACANCY ANNOUNCEMENT The Department of Psychology at the City College of New York (CCNY) invites applications for a full-time, tenure-track faculty position in computational neuroscience at the rank of Assistant Professor to begin in Fall 2023. The CCNY Psychology Department is a vibrant, diverse department located in Harlem, serving over 2000 undergraduate majors, with master's programs in General Psychology and Mental Health Counseling, a doctoral program in Clinical Psychology, and is affiliated with Ph.D. programs in Psychology and Neuroscience at the CUNY Graduate Center. The ideal candidate will use an innovative combination of computational, data-analytic, and/or modeling techniques to better understand how the brain gives rise to cognitive phenomena. All areas of relevance to cognitive neuroscience are of interest, including but not limited to: sensation, perception, emotion, memory, language, learning and reward, and consciousness. Successful applicants will be encouraged to participate in all programs the Department offers and to pursue interdisciplinary collaborations within and across the program, the department, and other departments at the College, including the Grove School of Engineering, the CUNY School of Medicine, and many related programs at the CUNY Graduate Center, including the CUNY Advanced Science Research Center, the Initiative for Theoretical Sciences, and allied doctoral and master's programs that span the sciences. They will be responsible for teaching, research, and mentorship/advisement duties. They also will share responsibility for committee and department assignments including administrative, supervisory, and other functions. QUALIFICATIONS A Ph.D. in psychology, neuroscience, applied mathematics, computer science, engineering, or a similarly allied field is required. The candidate is expected to maintain an active program of research, publish theoretical and empirical research in top-tier journals, be committed to both undergraduate and graduate education, and provide mentoring/advisement to students. Potential for obtaining external grant support is essential. Also required is the ability to teach successfully, demonstrated scholarship or achievement, and the ability to cooperate with others for the good of the institution. COMPENSATION CUNY offers faculty a competitive compensation and benefits package covering health insurance, pension and retirement benefits, paid parental leave, and savings programs. We also provide mentoring and support for research, scholarship, and publication as part of our commitment to ongoing faculty professional development. HOW TO APPLY Only applications submitted through CUNYfirst will be considered for this position. If you are viewing this job posting externally, please apply as follows: * Go to www.cuny.edu <http://www.cuny.edu/> and click on "Employment" * Click "Search job listings" * Click on "More options to search for CUNY jobs" * Search for Job Opening ID number 25407 Click on the "Apply Now" button and follow the instructions. Applications, including the following must be uploaded to the CUNYfirst job application website as a single PDF document: 1. Cover Letter 2. Curriculum Vitae 3. Statement of research interest and goals 4. Selected Publications 5. Three (3) confidential letters of recommendation sent to kwok(a)ccny.cuny.edu<mailto:hkwok@ccny.cuny.edu>

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NEST Conference 2023 – Save the date & registration
by Hans Ekkehard Plesser 27 Feb '23

27 Feb '23

Dear Colleagues, The NEST Initiative is excited to invite everyone interested in Neural Simulation Technology and the NEST Simulator to the NEST Conference 2023. The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. We particularly encourage young scientists to participate in the conference! This year's conference will take place as a virtual event on 15-16 June 2023. Register now! For more information please visit the conference website https://nest-simulator.org/conference We are looking forward to seeing you all in June! Hans Ekkehard Plesser and colleagues -- Prof. Dr. Hans Ekkehard Plesser Head, Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

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Call for applications - MSc Neuroscience, Uni Freiburg (Germany)
by Carsten Mehring 27 Feb '23

27 Feb '23

MSc program in Neuroscience - University of Freiburg, Germany We are inviting applications for the interdisciplinary MSc program in Neuroscience at the University of Freiburg, Germany. The program provides theoretical and practical training in neuroscience, covering both the foundations and latest research in the field. It is taught by lecturers from an international scientific community from multiple faculties and neuroscience research centres. The modular course structure caters to the specific backgrounds and research interests of each individual student and we offer specialisations in neural circuits and behavior, computational neuroscience and neurotechnology. All courses are taught in English. We welcome applications with a background in natural sciences, mathematics, behavioural sciences, computer science, medicine or engineering sciences. The deadline for applications for the October 2023 entry is the 31st of March 2023. Further details can be found on our homepage http://www.mscneuro.uni-freiburg.de <http://www.mscneuro.uni-freiburg.de/> With kind regards Carsten Mehring — Bernstein Center Freiburg & Faculty of Biology University of Freiburg

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post-doc position on interacting neuronal assemblies at University of Genova
by Paolo Massobrio 27 Feb '23

27 Feb '23

We are seeking highly motivated candidates for a post-doctoral position (1 year) at the Neuroengineering and NeuroTechnology Lab, <http://www.unige.it/> University of Genova, Genova, ITALY. The candidate will be involved in the funded PNRR Italian Project Mnesys (https://mnesys.eu/) a large neuroscience and neuropharmacology consortium coordinated by University of Genova which involves 25 partners. Among the topics of the project, the one which will involve the candidate deals with both computational and experimental staffs. In particular, the candidate will work with experimental models of brain-on-a-chip where different neuronal populations (e.g., cortical-hippocampal; cortical-thalamic; cortical-cerebellar, .) interact originating complex neuronal dynamics. Depending on the candidate attitude, she/he will be involved in the development of large-scale computational models of such interconnected neuronal networks or the development of advanced algorithms to infer functional and dynamical properties originated by the interactions of these ensembles. Requirements: Candidates must have: 1) a PhD in bioengineering, computational neuroscience, physics, engineering, mathematics or a related field; 2) Excellent programming skills in Python, Matlab, C++/C#, 3) a published record of research in the field of computational neuroscience and/or neuroengineering; 4) experience in electrophysiological data analysis and/or modeling. Deadline for submitting the application is March 13th, 2023. The selected candidates will be contacted for a further interview during the following week. The earliest possible starting date is April 1st, 2023, and the position will last for 1 year (possible extension). Our research group has a long tradition in studying the interactions between neuronal populations coupling to Micro-Electrode Arrays (MEAs). See for example the following papers: 1. F. Callegari, M. Brofiga, P. Massobrio. Modeling the three-dimensional connectivity of in vitro cortical ensembles coupled to Micro-Electrode Arrays. PLoS Computational Biology, 2023. 2. M. Brofiga, M. Pisano, M. Tedesco, A. Boccaccio, P. Massobrio. Functional inhibitory connections modulate the electrophysiological activity patterns of cortical-hippocampal ensembles, Cerebral Cortex, 2022. 3. P. Massobrio, V. Pasquale, S. Martinoia. Self-organized criticality in cortical assemblies occurs in concurrent scale-free and small-world networks, Scientific Reports, 2015. 4. T. Kanagasabapathi, P. Massobrio, R. A. Barone, M. Tedesco, S. Martinoia, W. J. Wadman, M. M. J. Decre. Functional connectivity and dynamics of cortical-thalamic networks co-cultured in a dual compartment device. Journal of Neural Engineering, 2012. Our labs are located in Genova <https://www.visitgenoa.it/en/iat> , a beautiful town in northern Italy, both from historical (its historical center is the largest of Europe) and naturalistic point of view (sea and mountains coexist creating a unique landscape). Genova is only 1.30h away from Milan by train and connected by plane to Rome (1.00h), London (2h) and Paris (1.30h). Applications must include an extended CV, a motivation letter, the most relevant papers, and names and addresses of two references. If you are interested, please send your application to: Paolo Massobrio e-mail: paolo.massobrio(a)unige.it <mailto:paolo.massobrio@unige.it> Tel: +39-010-3352761 _________________________________ Paolo Massobrio, PhD Associate Professor of Bioengineering Neuroengineering and Neurotechnology Lab Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS) University of Genova Via Opera Pia 13, 16145, Genova, ITALY Phone: +39 010 3352761 URL: <http://www.dibris.unige.it/> www.dibris.unige.it E-mail: <mailto:paolo.massobrio@unige.it> paolo.massobrio(a)unige.it

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Research Assoc Opening
by Yuvaraj Rajamanickam 27 Feb '23

27 Feb '23

Hi Everyone, I hope you are all doing well! I am looking for a research associate for my project titled "Automated Boredom Detection using Multimodal Physiological Signals." If you could share the information with potential candidates, I would appreciate it. For more information, please refer to the job advertisement link. https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Res… Regards YUVARAJ

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LiSNN Seminar: Felix Effenberger - A biology-inspired recurrent oscillator network for computations in high-dimensional state space
by Tristan Manfred Stöber 24 Feb '23

24 Feb '23

Dear friends and colleagues, as part of the Learning in Spiking Neural Networks Seminar Series are we cordially inviting you to the following presentation. Speaker: Felix Effenberger - Ernst Strüngmann Institute, Frankfurt am Main, Germany Title: A biology-inspired recurrent oscillator network for computations in high-dimensional state space Abstract: Biological neuronal networks have the propensity to oscillate. However, it is unclear whether these oscillations are a mere byproduct of neuronal interactions or serve computational purposes. Therefore, we implemented hallmark features of the cerebral cortex in recurrent neuronal networks (RNNs) simulated in silico and examined their performance on common pattern recognition tasks after training with a gradient-based learning rule. We find that by configuring network nodes as damped harmonic oscillators (DHOs), performance is substantially improved over non-oscillating architectures and that the introduction of heterogeneous nodes, conduction delays, and network modularity further improved performance. We furthermore provide a proof of concept of how unsupervised Hebbian learning can work in such networks. Analyses of network activity illustrate how the nonlinear dynamics of coupled DHOs drive performance, and provide plausible a posteriori explanations for a number of physiological phenomena whose function so far has been elusive. Also check out the corresponding preprint [1]. Time: 3rd of March 2023 at 14:00 Central European Time. Venue: Hybrid meeting, both on Zoom [2] and in person at the Frankfurt Institute for Advanced Studies, Ruth-Moufang-Straße 1, 60438 Frankfurt am Main, Lecture Hall 100. Best wishes in the name of the GRADE Initiative Learning in Spiking Neural Networks, Tristan Stöber Ps: Videos of previous events can be found on our youtube channel [3] [1] https://www.biorxiv.org/content/10.1101/2022.11.29.518360v1.abstract [2] https://ruhr-uni-bochum.zoom.us/my/tristanstoeber?pwd=YnZ2RlZVTUZPU2ZhNlFyR… [3] https://www.youtube.com/@lisnn.channel5458

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Postdoctoral position in individual differences of plasticity in blindness (Washington DC)
by Ella Striem-Amit 24 Feb '23

24 Feb '23

*Postdoctoral researcher position in individual differences of plasticity in blindness* The Sensory and Motor Plasticity Lab, led by Ella Striem-Amit, is currently recruiting a highly motivated and dedicated Postdoctoral researcher to join their team at Georgetown University in Washington DC, USA. The SAMP lab explores brain organization and experience-dependent plasticity by studying people born blind, deaf, or without hands, using behavioral and fMRI state-of-the-art analytical techniques. The successful applicant will work on the topic of individual differences in plasticity in people born blind. Specifically, the project will test how brain plasticity in blindness may manifest differently in different individuals, and how these differences may account for their compensatory skills and use of assistive devices. For more information about the lab, see samp-lab.facultysite.georgetown.edu <https://samp-lab.facultysite.georgetown.edu/research>. Excellent understanding of and experience with fMRI and data analysis are required. Strong programming skills (Matlab/R/python, etc.) are also a requirement. The position is not limited to US citizens. The start date is September-October 2023, but flexible in exceptional circumstances. This position is available for up to 4 years. To apply, please email your CV and a brief statement of research interests to Ella Striem-Amit (Ella.StriemAmit(a)georgetown.edu) with the subject line: “post-doc application”. Georgetown University is an Equal Opportunity/Affirmative Action Employer fully dedicated to achieving a diverse faculty and staff. All qualified applicants are encouraged to apply and receive consideration for employment without regard to race, color, religion, national origin, age, sex, disability status, protected veteran status, or any other characteristic protected by law. -- *Ella Striem-Amit (she/her)* Sensory and Motor Plasticity (SAMP) Lab Edwin H. Richard and Elisabeth Richard Assistant Professor Department of Neuroscience Georgetown University Medical Center 3970 Reservoir Rd., NW Washington, DC 20007 http://samp-lab.facultysite.georgetown.edu/

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Call for abstracts 'Neuromorphic, Natural and Physical Computing: Interdisciplinary Foundations (NNPC 2023)”, 25th – 27th of October 2023 in Hanover, Herrenhausen castle - Germany
by Prof. Dr. Gordon Pipa 24 Feb '23

24 Feb '23

We are happy announce the “Neuromorphic, Natural and Physical Computing: Interdisciplinary Foundations (NNPC 2023)”, taking place from 25th – 27th of October 2023 in Hanover, Herrenhausen castle. Please see our website for information https://nnpc-conference.com/ . The general aim of the conference is to boost interdisciplinary transfer of ideas and networking in the wider fields of non-digital computing. NNPC 2023 is a successor to the 2018 conference “Cognitive Computing: Merging Concepts with Hardware” (https://nnpc-conference.com/2018/ ) whose very productive and motivating format will be kept. The event is generously supported by the Volkswagen Foundation. The conference will run in 5 single-track sessions. 1. Theory: new concepts and mathematical foundations, 2. Physical substrates: materials, devices, micro-architectures, 3. Guides from nature: neuroscience, theoretical biology, complex systems, 4. Scaling up: modular architectures, complex data structures and processes, 5. Applications: demonstrators, use-cases, user interfacing, hybrid solutions. To ensure maximum participation, all attendees are required to submit a 2-page abstract on a subject relating to one of the session themes. These abstracts are peer-reviewed. All accepted submissions will be granted an oral or poster presentation slot, and hosted publicly on the conference website upon agreement by the authors. Importantly, novelty is not essential as our aim is to make knowledge to diffuse across boundaries of the scientific domains involved. You find more detailed information about the aims, background, and thematic structure of this event in the Appendix. The submission form will be available on the conference website shortly. • Submission deadline: March 15th 2023. • Notify authors of acceptance: April 30th 2023. • Notify authors of type of contribution: May 14th 2023. We look forward to hearing from you and to meet in person to make NNPC 2023 a memorable success. With best regards, the Conference Chairs Conference Chairs: Daniel Brunner (photonics, neuromorphic architectures; CNRS) Gordon Pipa (neuroinformatics and cognitive computing; University of Osnabrück) Damien Querlioz (Bioinspired Nanolectronics; Université Paris-Saclay France) Susan Stepney (unconventional computing; University of York, UK) Financial chair: Herbert Jaeger (machine learning, nonlinear dynamics; University of Groningen) Appendix: Aims, structure, venue, and funding of the conference Overview of aims and structure. Four years ago, the pioneering conference Cognitive Computing: Merging Concepts with Hardware assembled a wide-spanning multidisciplinary audience to share and merge insights about non-standard concepts and technologies of computing. At least four traditions were brought together: • Neuromorphic computing: “learn from the brain” • Natural computing: “look at nature’s complex systems” • Physical computing: “use physical effects directly” • Non-standard theoretical computer science: “think outside the Turing machine” Work in these fields has enormously picked up speed in the interim, but it is still a plurality of traditions carried by a multitude of communities. We still lack unified concepts, shared terminology, transferable methods and common goals. After four years, it is a good time to take stock of progress that has been made, and to re-invigorate the effort of connecting our dispersed findings into a joint vision. We do not yet know how we will ultimately name our emerging field of generalized “computing” science. For the time being we will refer to it by calling out its main traditional anchors: Neuromorphic, Natural and Physical Computing (NNPC). In five sessions with much breakout times for personal exchange, we will explore 1. Theory: new concepts and mathematical foundations, 2. Physical substrates: materials, devices, micro-architectures, 3. Guides from nature: neuroscience, theoretical biology, complex systems, 4. Scaling up: modular architectures, complex data structures and processes, 5. Applications: demonstrators, use-cases, user interfacing, hybrid solutions. Each session will be commenced by a 1-hour invited keynotes and feature three 30-minute oral presentations selected from the submitted abstracts. In addition we will invite three 1-hour plenary lectures that cross the session themes. This leaves much time for breaks and extensive poster sessions, a condition that will be creating a productive atmosphere for personal networking. Here are the specifics of the five sessions: Session 1. Theory: new concepts and mathematical foundations. The physical substrates of NNPC will host dynamical phenomena that defy the principles of digital computing. Instead of relying on reproducible, stable binary switching, NNPC exploits dynamical processes that are stochastic, non-stationary, continuous-valued, un-clocked and spatially distributed. In order to enable a systematic, insightful design of NNPC systems, new conceptual frameworks and mathematical formalisms are needed. Suggestive topics: • Representing symbols, discrete data structures and operations in nonlinear dynamics • Non-Shannon definitions and measures of information • Emergent phenomena in collective dynamics • Nanoscale or collective phenomena which can serve as computational primitives • Entrainment of NNPC system dynamics to input streams • Temporally and spatially multiscale modeling of complex dynamics • Stabilization and self-calibration mechanisms • Life-long change: aging, continual learning, adaptation to changing tasks and environments • Adaptations of classical (deep) neural network architectures and algorithms to NNPC hardware • Integrative formal languages which unify selected aspects across, for example, stochastic processes, information theory, nonlinear dynamics, topology and graph theory, algebra or signals, systems and control • New kinds of formal logics to capture semantics of NNPC processes • Analyses of ultimate energy minimization or information density • Fundamental models of NNPC systems, analog to the Turing machine model for digital computing Session 2. Physical substrates: materials, devices, micro-architectures. Biological brains are so efficient because evolution has found ways to exploit a host of physiological and physical effects which neuronal tissue can offer. Extending this idea of “exploiting the physics” beyond brains, the strategy of what has been called “physical computing” or “in-materio computing” is to find ways to exploit for NNPC whatever physics can offer, opening up for effects that are inaccessible to neurophysiological substrates (and accessible to engineering and fabrication). Suggestive topics: • Physical phenomena supporting computing provided by nano- or microscale devices, across physical domains (electronic, photonic, spintronic, mechanic, chemical, etc.) • Exploiting quantum effects in other ways than in classical quantum computing (e.g. quantum reservoirs) • Spatial structuring in thin films or 3D substrates, boundary formation • Nano- or microscale phase transitions and percolation • Small-scale physical structures with heterogeneous or self-organizing phase-change materials • Non-wire-bound information transfer in physical media through diffusion, fields, soliton or wave propagation, or mechanical transmission • Novel devices with non-digital, modulatable input-output transfer functions • Phenomena and devices with slow-fast dynamics where the slow dynamics can be used for learning or adaptation • Analyses and characterization of computationally potentially relevant properties of materials and devices • Development of “practically useful” materials and devices: long endurance, operation at room temperature, fabricability • Functional ensembles of novel devices in the spirit of neural microcircuits or elementary integrated circuits • Progress in currently investigated neuromorphic architectures (memristor crossbars, spike routing, analog neuron and synapse circuits) Session 3. Guides from nature: neuroscience, theoretical biology, complex systems. Biological brains are currently cited as the living proof that highly energy-efficient and “cognitive” computing beyond the limits of the digital paradigm are possible. This has led to the current dominance of the term “neuromorphic” when one wants to point to alternative computing technologies. However, there is also a long tradition of other non-digital computing proposals, which have been referred to by names like natural / physical / unconventional computing, and which have been pursued in various niches of CS, AI, Alife, theoretical physics and biology, and elsewhere. Our conference gives a forum for all alternative computing paradigms, neuromorphic and other sorts of “unconventional”. Suggested topics: • Learning from the brain: neuro-computational principles, circuits, architectures, and control flows: the neural engineering framework, neural field theory, neural sampling and others • Current developments in DNA computing, swarm intelligence, fungus computing, pattern theory, stochastic and hyperdimensional computing, membrane computing, immune systems, reservoir computing and others • Neuro-plausible learning and optimization concepts, potentially leveraging self-organization and enabling features like continuous learning, learning without forgetting • How do humans / animals build their world models? • Strategies from nature for system robustness (theoretical biology, neuroscience, ecology) • Pre-rational intelligence in animals from amoeba to insects to pigeons, zebra finches and rats (and the pre-rational information processing in humans, too) • Computational interpretations of self-organization in complex natural systems • ALife views on computing systems Session 4. Scaling up: modular architectures, complex data structures and processes. A key factor that empowered digital computing to become a world-changing technology is its scalability. Starting from concatenating bits into bitstrings and Boolean gates into Boolean circuits, arbitrarily compounded hierarchical data structures and program flows can be designed according to well-understood compositional principles. General principles of compositionality for non-symbolic information representations and arbitrarily extensible processing hierarchies for NNPC await their discovery. On the hardware side, only a few proposals for extensible multi-module neuromorphic architectures have been proposed (SpiNNaker immediately comes to mind) which present technical solutions for neural signal routing but are still limited with regards to functional and architectural diversity of the joinable modules. From a use case view, compositional principles for NNPC task specifications are likewise still restricted to specific, limited computational paradigms (as in the neural engineering framework or Act-R). Progress in general principles for scaling systems to arbitrary complexity is a key condition for the long-term sustainability of NNPC. Suggested topics: • Concepts for compositional non-symbolic “data” and information representation • Concepts for compositional procedure hierarchies • Synchronization mechanisms in unclocked parallel computing systems • Cognitive architectures, hierarchical control principles, autonomous agent models • Configuration principles for multi-module neural network architectures • Bidirectional top-down and bottom-up processing in deep neural (and other) architectures • Unclocked FPGA demonstrations • Routing and addressing mechanisms – formal and in hardware • Fundamental questions of hardware topology and physical integration to enable scalability of resources (energy, space, heat deposition, etc.) • High-capacity, richly structured long-term memory • Lifelong learning in NNPC systems • Growing hardware systems • Multi-modal sensor signal processing in non-digital neuromorphic systems • Progress in large-scale neuromorphic systems • Distributed energy supply in NNPC systems • Distributed input and output channeling to/from NNPC systems • NNPC-suited communication formats and networking solutions • Deep spiking neural networks and multi-module recurrent neural networks suitable for analog hardware realizations • Options and limits of commercial fabricability • Hybrid digital-NNPC systems aiming for scalable complexity Session 5. Applications: demonstrators, use-cases, user interfacing, hybrid solutions. Commercially or societally relevant scenarios for NNPC applications are still confined to niches. This is certainly due, on the one hand, to the early stage of NNPC research which is still mostly foundational and academic. But on the other hand, in our search for broad application scenarios we might be partly blinded by the urge to replace digital solutions in order to outwit the “End of Moore’s Law” and save energy. While this original motivation will remain strong and continue to call for NNPC solutions, other NNPC systems may turn out to be so different from digital systems that they cannot simply be plugged in where the latter are to be phased out. To the extent that NNPC systems become more brain-like (self-organizing, aging, with individual learning histories) they also become less computer-like. They may not be programmable in the accustomed way but need to be trained; they may not be identically reproducible but individual; they may not be re-bootable from some starting state but always-on (and might “die” if cut from energy supply). On the plus side, besides their energy efficiency they may boast an admirable robustness against variable or noisy input and physical damage; realize enormous data throughput rates; be bio-implantable; find creative un-premediated solutions for their tasks, and last but not least they may be un-hackable due to their individuality. All of this requires a thorough re-thinking of what an information-processing system is, what it can be used for, or what it can be doing all on its own. This is an interdisciplinary agenda which involves not only engineers but also psychologists, sociologists, economists and philosophers. Suggested topics: • Progress in currently discussed application scenarios: optical computing for communication systems, implantable neurochips and neuroprosthetics, ultra-low power or even energy harvesting edge computing, sensing and control for compliant or soft robots, analog/spiking adaptations of deep learning techniques, ubiquitous sensing, and more. • Methods to “make NNPC systems do what we want”: generalized concepts of “programming”, physical and functional configuration methods, training and scaffolding schemes, evolutionary optimization • Engineering pipelines: how would they differ from the digital system development routines? • How to “use” intelligent autonomous agents (avatars, game characters, robots) • Explainable NNPC: from formal analyses of trained distributed systems to accountability ethics of autonomous, individual artificial agents • Philosophy of engineering: a concept shift from reproducible, controllable tools to individual agents and personal companions • Interdisciplinary education: academic study programs, web services, funding initiatives Conference venue. The venue, the Castle of Herrenhausen (https://www.schloss-herrenhausen.de/en/home/ ), a heritage of the Kings of Hannover – who for a long historical period were at the same time Kings of England – was transformed into an award-winning center for scientific events and is today administered and maintained through the Volkswagen Foundation. The Herrenhausen Gardens stretch across hectares of classical French gardening. Why the Volkswagen Foundation supports NNPC. All funding is provided by the Volkswagen Foundation (https://www.volkswagenstiftung.de/en ), Germany’s largest private organization for the advancement of scientific research. The funding covers the royal conference venue, excellent catering, travel and accommodation for all speakers and the session chairs, and fee waivers for every participant. There is a reason for this generous commitment. The Foundation focuses its investments on a small number of research fields across all sciences that are (i) interdisciplinary and in a nascent stadium, (ii) not yet widely funded by industry or public agencies, (iii) show a potential for foundational discoveries and long-term societal benefits. One of these foci identified by the Foundation coincides with the themes of NNPC: non-digital computing technologies, including but not limited to neuromorphic computing, across all levels from materials through devices, microchip technologies, new computing paradigms, user-machine interaction scenarios, to the philosophy of computing and societal impact. The 2018 conference “Cognitive Computing” was a trigger for the Foundation to adopt this theme. Within this theme, the Foundation supports a spectrum of activities, among them our 2023 conference.

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Postdoctoral positions in learning and pain modulation, NIH
by Atlas, Lauren (NIH/NCCIH) [E] 23 Feb '23

23 Feb '23

Dr. Lauren Atlas’s laboratory<https://www.nccih.nih.gov/research/intramural/section-on-affective-neurosci…> is recruiting one to two postdoctoral researchers with expertise in fMRI and affective science to join the Section on Affective Neuroscience and Pain (ANP) to lead new projects on the psychological modulation of pain and emotional experience. Dr. Atlas’s lab is part of the National Center for Complementary and Integrative Health’s (NCCIH) intramural research program<https://www.nccih.nih.gov/research/intramural>, and affiliated with the Intramural Research Programs of the National Institute of Mental Health (NIMH) and National Institute on Drug Abuse (NIDA). Learn more about the NIH Intramural Training Program.<https://www.training.nih.gov/programs> Research in the ANP Lab focuses on the mechanisms by which expectations, learning, and other cognitive and affective factors influence pain, emotion, and clinical outcomes. We combine approaches from experimental psychology, neuroimaging, psychophysiology, and computational modeling to investigate pain and emotional experience in healthy individuals as well as individuals with chronic pain and/or affective disorders. We are particularly interested in the intersection of appetitive and aversive learning, how psychosocial factors influence pain and clinical outcomes, and questions motivated by pain’s central role in the opioid crisis. Postdoctoral researchers are expected to develop their own projects, with guidance, and to collaborate with other researchers in the lab as well as in the broader NIH community. We are looking for someone to spearhead new projects using high field imaging (7T-FMRI) to examine pain and perception across domains and/or using simultaneous PET-MRI to study the role of dopamine and opioids in pain modulation. Clinical collaborations to look at the intersection between pain, mental health, and/or substance use disorders are also possible. The candidate should have a strong background in psychology and neuroscience and must have received a Ph.D. in a relevant field by the time of appointment. Candidates with successful publications in the fields of pain, emotion, and/or computational modeling are encouraged to apply. Postdoctoral positions require experience with 1) design of behavioral and fMRI experiments, 2) analysis of fMRI data using statistical parametric mapping packages (SPM, AFNI, etc.), and 3) programming and analysis skills in MATLAB, R, and/or Python. These requirements will be flexible for candidates with clinical experience or experience in psychopharmacology, as we are currently planning clinical collaborations. Appointments and salary are commensurate with research experience and accomplishments (www.training.nih.gov/programs/postdoc_irp<http://www.training.nih.gov/programs/postdoc_irp>). The candidate will be supported with the excellent intramural NIH fellowship in a stimulating and interactive research environment at NIH. NIH has exceptional multidisciplinary research facilities including structural and functional MRI, MEG, PET, and TMS. Our lab is fully funded with dedicated weekly scan time, a full-time data analyst, and the opportunity to work alongside some of the world’s foremost fMRI experts. Training in advanced imaging and other techniques is available, as are courses in grant writing and career development. Trainees can also apply to be fellows in the Center on Compulsive Behaviors<https://research.ninds.nih.gov/researchers/center-compulsive-behaviors-ccb#….>, a trans-NIH fellowship program. This is an exciting and collaborative environment for those interested in pursuing a career in clinical or cognitive neuroscience. How To Apply Applicants should submit a CV, a brief description of research interests and career goals, and the names of three references to Dr. Lauren Atlas<mailto:lauren.atlas@nih.gov> (Investigator/Chief, Section on Affective Neuroscience and Pain, NCCIH/NIMH/NIDA, NIH). Applications will be reviewed on a rolling basis. Applications will be accepted until the position is filled. The Department of Health and Human Services and NIH are equal opportunity employers committed to equity, diversity, and inclusion.

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Call for contribution and registration to the Systems Vision Science Symposium: Aug. 22-24, 2023, in Tuebingen, Germany
by Pavlovic, Maria 23 Feb '23

23 Feb '23

Systems Vision Science Symposium Aug. 22-24, 2023 in Tübingen, Germany Our symposium takes place at the end of our Systems Vision Science summer school Aug. 14-24, 2023. Presentation topics by the invited speakers will be ® Topics in Systems Vision Science ® The power of two: New perspectives on binocular vision ® Central versus peripheral vision We are pleased to announce our symposium's keynote speaker: Marty Sereno. The keynote speech will be on August 22, 2023 Invited speakers of the Systems Vision Science Summer School and Symposium include: Assaf Breska, Peter Dayan, Andrea van Doorn, Wolfgang Einhäuser-Treyer, Karl Gegenfurtner, Ziad Hafed, Tadashi Isa, Jan Koenderink, Kristine Krug, Hanspeter Mallot, Laurence Maloney, Pascal Mamassian, Antje Nuthmann, Daniel Osorio, Andrew Parker, Jenny Read, Alexander Schütz, Manuel Spitschan, Kristina Visscher, Li Zhaoping. -------------------------------- We invite you to submit contributions in form of posters to the symposium on all topics in Systems Vision Science, which combines computational, behavioral, and neuroscience methods to discover functions and algorithms for vision in various brain regions and their implementations in neural circuits. To maximize exchanges during the symposium, each poster will be displayed throughout the symposium, which includes five poster sessions (two daytime sessions and three evening sessions), in a venue next to the lecture hall and coffee breaks to give enough time for discussions, networking and knowledge exchange. To contribute, please fill out our registration form including an abstract, which can be found here: <https://summerschool.lizhaoping.org/contributions-for-symposium/> https://summerschool.lizhaoping.org/contributions-for-symposium/ -------------------------------- Submissions of contributions are possible until April 30, 2023. Registration without contribution to the symposium will be open until capacity or deadline for organization is reached. This years venue capacity is 100, including invited speakers and summer school participants. Information about our summer school, which takes place just before the Systems Vision Science Symposium, can be found here: <https://summerschool.lizhaoping.org/> https://summerschool.lizhaoping.org/ Please direct inquiries to <mailto:svs.summerschool@tue.mpg.de> svs.summerschool(a)tue.mpg.de -------------------------------- Organizing team: Li Zhaoping Ulf Lüder Maria Pavlovic Junhao Liang Max Planck Institute for Biological Cybernetics University of Tuebingen www.lizhaoping.org <http://www.lizhaoping.org>

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Research Associate on project “A technology to extract memories from the human brain”
by Howard Bowman 23 Feb '23

23 Feb '23

POSTDOC RESEARCH ASSOCIATE ON PROJECT “A TECHNOLOGY TO EXTRACT MEMORIES FROM THE HUMAN BRAIN USING EFIT6 AND THE FRINGE-P3 BRAINWAVE METHOD” School of Psychology and Centre for Human Brain Health, University of Birmingham, UK. We are looking for a researcher with neuroimaging and machine learning expertise. The Fringe-P3 method (Bowman et al, 2013; Alsufyani et al, 2019) developed out of a line of theoretical work focussed on temporal attention and perception on the fringe of awareness (Bowman & Wyble, 2007; Avilés et al, 2020; Bowman & Avilés, 2022). The method provides a means to present a large number of visual stimuli very rapidly to a participant’s brain and then determine with EEG, which of those stimuli the participant finds salient. A very simple form of salience that we look at is familiarity, with stimuli that are familiar breaking into participants’ awareness and thereby generating a P3 (or a variant of it), which we detect with EEG. The method has been proposed as a deception detector, specifically, a (countermeasures-resistant) concealed-knowledge test (Bowman et al, 2013, 2014; Alsufyani et al, 2019; Harris et al, 2021). Our recent Innovate UK project with the company Visionmetric (https://visionmetric.com/) used the Fringe-P3 method to provide a prototype system for extracting the memory of a face. This is done by generating a facial morph that is a weighted average of the faces presented in rapid serial visual presentation, with weight determined by the strength of the P3 that face generated. A demo of the system developed in this project can be seen here: https://www.cs.kent.ac.uk/people/staff/hb5/EEGFIT_prototype_demo_cut.mp4 The Research Associate will be employed on a recently awarded EPSRC Impact Acceleration account at the University of Birmingham, which, with Visionmetric, will improve the efficiency with which P3s are detected with machine learning and will also explore alternative detection modalities, such as pupil dilation. The position is for one year in the first instance, but with the possibility of follow-on funding. Direct enquiries to the Principal Investigator, Howard Bowman (H.Bowman(a)bham.ac.uk<mailto:H.Bowman@bham.ac.uk>). Professor Howard Bowman (Psychology, University of Birmingham; Computing, University of Kent and Wellcome Centre for Human Neuroimaging, UCL [honorary]). To apply for this job, search for it on the following site, https://edzz.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_6… Alsufyani, A., Hajilou, O., Zoumpoulaki, A., Filetti, M., Alsufyani, H., Solomon, C. J., ... & Bowman, H. (2019). Breakthrough percepts of famous faces. Psychophysiology, 56(1). Avilés, A., Bowman, H., & Wyble, B. (2020). On the limits of evidence accumulation of the preconscious percept. Cognition, 195, 104080. Bowman, H., & Avilés, A. (2022). No Subliminal Memory for Spaced Repeated Images in Rapid-Serial-Visual-Presentation Streams. Psychological Science, 33(11), 1959-1965. Bowman, H., Filetti, M., Janssen, D., Su, L., Alsufyani, A., & Wyble, B. (2013). Subliminal salience search illustrated: EEG identity and deception detection on the fringe of awareness. PLoS One, 8(1). Bowman, H., Filetti, M., Alsufyani, A., Janssen, D., & Su, L. (2014). Countering countermeasures: Detecting identity lies by detecting conscious breakthrough. PloS one, 9(3), e90595. Bowman, H., & Wyble, B. (2007). The simultaneous type, serial token model of temporal attention and working memory. Psychological review, 114(1), 38. Harris, K., Miller, C., Jose, B., Beech, A., Woodhams, J., & Bowman, H. (2021). Breakthrough percepts of online identity: Detecting recognition of email addresses on the fringe of awareness. European Journal of Neuroscience, 53(3), 895-901. -------------------------------------------- Professor Howard Bowman (PhD) Professor of Cognition & Logic in Computing at Uni Kent, and Professor of Cognitive Neuroscience in Psychology at Uni Birmingham (honorary at Wellcome Centre for Human Neuroimaging, University College London) Centre for Cognitive Neuroscience and Cognitive Systems and the School of Computing, University of Kent at Canterbury, Canterbury, Kent, CT2 7NF, UK email: H.Bowman(a)kent.ac.uk<mailto:H.Bowman@kent.ac.uk> WWW: http://www.cs.kent.ac.uk/people/staff/hb5/ School of Psychology, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK

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Open rank faculty positions at the intersection of biological and artificial intelligence at Indiana University
by Zoran Tiganj 22 Feb '23

22 Feb '23

The Luddy School of Informatics, Computing, and Engineering (SICE), the Department of Psychological & Brain Sciences (PBS), and the School of Optometry (IUSO) at Indiana University (IU) Bloomington invite applications for two faculty positions to begin on August 1, 2023. We seek applicants working at the intersection of biological and artificial intelligence, with a focus on reverse engineering the computational foundations of biological intelligence using tools from machine learning and artificial intelligence. The positions are part of a new initiative—Reverse Engineering the Foundations of Intelligence—that aims to transform our understanding of human and animal intelligence. IU has long been an international leader in discussions of how brains, bodies, and environments contribute to intelligent behavior. This initiative is designed to build on these strengths and propel IU to the forefront of research at the interaction of biological and artificial intelligence. The positions are open at the full and associate professor levels, but exceptional candidates at the assistant professor level or in industry may be considered. We seek dynamic individuals with an international reputation and experience working in rapidly expanding & intellectually diverse interdisciplinary areas. We also seek individuals who excel working in team environments and whose research, teaching, and service will contribute to IU’s commitment to diversity, equity, and inclusion. Minimum Qualifications: A PhD in psychology, neuroscience, cognitive science, computer science, or a related field, and a distinguished record of scholarship, teaching, and professional experience appropriate for a tenured professorship at IU Bloomington. Applications received by March 2, 2023 will receive full consideration; however, the search will remain open until suitable candidates are found. Review of applications will begin immediately and continue until the positions are filled. Candidates should review application requirements, learn more about SICE, PBS, IUSO, and employee benefits, and apply online at: https://indiana.peopleadmin.com/postings/16752 Questions, nominations, and confidential inquiries may be sent to Justin Wood (woodjn(a)indiana.edu) or Rowan Candy (rcandy(a)indiana.edu) Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment based on individual qualifications. Indiana University prohibits discrimination based on age, ethnicity, color, race, religion, sex, sexual orientation, gender identity or expression, genetic information, marital status, national origin, disability status or protected veteran status. Before a conditional offer of employment with tenure is finalized, candidates will be asked to disclose any pending investigations or previous findings of sexual or professional misconduct. They will also be required to authorize an inquiry by Indiana University Bloomington with all current and former employers along these lines. The relevance of information disclosed or ascertained in the context of this process to a candidate’s eligibility for hire will be evaluated by Indiana University Bloomington on a case-by-case basis. Applicants should be aware, however, that Indiana University Bloomington takes the matters of sexual and professional misconduct very seriously.

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Postdoctoral opportunity in Janssen Pharmaceuticals
by Rouhollah Abdollahi 21 Feb '23

21 Feb '23

We have a great opportunity for postdoctoral position in our team in Janssen pharmaceuticals, companies of Johnson & Johnson, working on neuroimaging projects. The location of the candidate should be Europe or USA, but remote option also can be arranged. https://jobs.jnj.com/en/jobs/2306106495w/post-doctoral-scientist-data-scien… -- Sent from Gmail Mobile

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Software Highlight: Kay Robbins: HED (Hierarchical Event Descriptors)
by Ankur Sinha 21 Feb '23

21 Feb '23

Dear all, Apologies for the cross-posts. Please join the INCF/OCNS Software Working Group for our next Software Highlight session: Kay Robbins[0] will introduce and discuss HED, a practical system for describing an experiment using an analysis-ready framework. https://ocns.github.io/SoftwareWG/2023/02/17/software-highlight-kay-robbins… - Date: February 28, 2023, 1600 UTC (Click here to see your local time[1]) (Add to calendar[2]). - Zoom (link): https://ucl.zoom.us/j/99321986413?pwd=OUdFTlJ3NVloUmJ1U0Q3WE9vRERMZz09 The abstract for the talk is below: In human neuroimaging experiments, a record of what a participant experiences together with a clear understanding of the participant (task) intent are key to interpreting recorded brain dynamics. HED (Hierarchical Event Descriptors, https://www.hedtags.org) annotations and supporting infrastructure can provide human-understandable machine-actionable descriptions of events experienced during laboratory and/or real-world time series recordings. HED, which is well-integrated into BIDS (Brain Imaging Data Structure) has an ecosystem of tools supporting researchers at various stages including data acquisition, annotation, sharing, and analysis. This talk will describe HED principles, focusing on basic representations of an experiment and its design. Various tools in the HED ecosystem to support search, summary and analysis will be introduced and demonstrated. Finally, we’ll discuss how tool developers can leverage the HED infrastructure to build advanced analysis tools capable of automated analysis in support of machine learning. HED is an entirely open-source project, and the HED Working Group welcomes contributors and contributions. Papers and resources: - Capturing the nature of events and event context using Hierarchical Event Descriptors (HED). NeuroImage. https://www.sciencedirect.com/science/article/pii/S1053811921010387 - Building FAIR functionality: Annotating events in time series data using Hierarchical Event Descriptors (HED). Neuroinformatics. https://link.springer.com/article/10.1007/s12021-021-09537-4 - Resources: https://www.hed-resources.org - GitHub organization: https://github.com/hed-standard [0] https://www.utsa.edu/sciences/computer-science/faculty/KayRobbins.html [1] https://www.timeanddate.com/worldclock/fixedtime.html?msg=Software+Highligh… [2] https://ocns.github.io/SoftwareWG/extras/ics/20230228-kay-robbins-hed.ics On behalf of the Software WG, -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London

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PhD position in System Neuroscience
by Shahidi, Neda 21 Feb '23

21 Feb '23

Dear all, I have a new Ph.D. position in System Neuroscience at the University of Göttingen and the German Primate Center in Göttingen. We will use a new paradigm in studying neural correlates of decision-making in monkeys: The animals in our study will make decisions that are more natural to them, less repetitive, and require less training. Also, we will use chronic electrophysiology enabling us to simultaneously probe many neurons using a technology that is more or less plug-and-play. That means less animal training and less neuron-fishing. However, because there is nothing like a free lunch, this comes with a cost: Analyzing the data will be way more complicated, compared to a classical experiment! Therefore, the ideal candidate is proficient in data analysis and coding, but also enthusiastic to work with monkeys (Do you enjoy teaching your dog a trick or two? then you will also enjoy working with our monkeys). Please find more information here: https://www.uni-goettingen.de/en/644546.html?filters={%22vollzeit%22:[],%22…<https://www.uni-goettingen.de/en/644546.html?filters=%7B%22vollzeit%22:%5B%…> and please feel free to spread the word. Kind Regards Neda

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