- Comp-neuro - lists.cnsorg.org

Neuronal data scientist position

by Nikolas Karalis

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

July 23, 2023

Research technician position

by Nikolas Karalis

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

July 23, 2023

Postdoctoral researcher position

by Nikolas Karalis

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

July 23, 2023

OHBM 2023 Educational Course on Whole-Brain Models

by Taha Morshedzadeh

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

July 21, 2023

Postdoc position Cluster for advanced study of collective behavior at University of Konstanz

by Ahmed Elhady

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

July 21, 2023

Registration open: FSL Course 2023 - Sept 11th-22nd

by Rezvan Farahibozorg

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

July 20, 2023

Computational Neuroscience Postdoc Positions

by Neymotin, Samuel (NKI)

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.

July 19, 2023

CFP COMPLEX NETWORKS 2023 Menton Riviera France November 28 - 30, 2023

by Fabian Braesemann

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

July 19, 2023

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

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

July 18, 2023

Ph.D. position in Theoretical and Applied Neuroscience - Deadline 4th of August.

by Russo, Eleonora

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

July 17, 2023