- Comp-neuro - lists.cnsorg.org

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 13 Jul '23

13 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 13 Jul '23

13 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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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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