May 2023 - Comp-neuro - lists.cnsorg.org

Python Package: SER model
by Fabrizio Damicelli 08 Aug '24

08 Aug '24

Dear Computational Neuroscience Community, I would like to point you to a potentially useful Python Package that might be of interest for your research, especially in the realm dynamical models and spreading dynamics on networks. "ser": S(usceptible)E(xcited)R(efractory) model on graphs, a dynamical model of spreading excitations. Code Repository: https://github.com/fabridamicelli/ser As of today, a few people already trust it and the package registers >11K total downloads, ~500/month (pypi.org) and has been used already in a few research projects. A few interesting features: - It is light-weight and fast (`numba` accelerated), i.e. many experiments can be simply run on a laptop - Installation and getting started is easy: `pip install ser` - Example notebooks: https://github.com/fabridamicelli/ser/blob/main/examples The SER model is a classical cellular automaton model used to study all sorts of complex systems, ranging from forest fire dynamics to self-organized criticality in the brain. Despite of the simplicity of its setup, it is capable of generating complex emergent dynamics with absolutely non-trivial higher-order statistical properties. To learn more about the SER model and its applications, you might want to check out these references: - Messe et al. (2018). Toward a theory of coactivation patterns in excitable neural networks. doi.org/10.1371/journal.pcbi.1006084 - Haimovici et al. (2013). Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome. doi.org/10.1103/PhysRevLett.110.178101 - Damicelli et al. (2019). Topological reinforcement as a principle of modularity emergence in brain networks. doi.org/10.1162/netn_a_00085 Check it out and any feedback/suggestions/bug reports are more than welcome (simply open an issue: https://github.com/fabridamicelli/ser/issues) All the best, Fabrizio Damicelli

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Postdoctoral Research Fellow in Biocomputation at the University of Hertfordshire, UK
by Volker Steuber 02 Apr '24

02 Apr '24

Post Title: Research Fellow in Biocomputation SBU/Department: School of Physics, Engineering and Computer Science ________________________________ FTE: 1 FTE (working 37 hours per week) Duration of Contract: Fixed term Contract (3 years) Salary: UH7 £36,333 pa with potential to progress to £43,155 pa on achieving designated skills and experience Annual Leave: 35 days plus standard public holidays and an additional 4 days including the closure of our office between Christmas and New Year Location: College Lane Campus, Hatfield, UK Closing Date: 14th June 2023 Interview Date: To be confirmed Reference Number: 048016 Date advert placed: 17th May 2023 Main duties and responsibilities We are seeking a full-time Research Fellow to join the Biocomputation Research Group in the School of Physics, Engineering and Computer Science at the University of Hertfordshire to conduct high-quality research in Computational Neuroscience. The successful candidate’s research will involve synergistic collaborations with a multidisciplinary team to investigate brain processes using methodologies such as computational modelling, machine learning and AI. Research to be conducted could, e.g., comprise modelling brain circuits like the olfactory bulb or the cerebellum and simulating and analysing their function. Additional impact could arise in machine learning, AI, data science, neurorobotics and neuromorphic computing. The successful candidate will be expected to establish a programme of research in collaboration with colleagues at UH and partner organisations in the UK and abroad. Leading the preparation and publication of research manuscripts is a key aspect of the role. Contributions to the preparation of research proposals and applications for funding to external bodies, such as the European Commission and the UK Research and Innovation (UKRI) are expected. The postholder will create opportunities to maximise research activities, capturing relevant evidence to support impact and engaging with external partners and stakeholders. Skill and experience required * Strong theoretical, computational and programming background in computational modelling and/or machine learning and/or data science and/or AI. * Background and expertise in computational neuroscience (e.g. spiking neural networks, brain function and anatomy, analysis of brain data). * Demonstrated experience to conduct independent research in computational neuroscience or a related field, e.g., through published research papers or monographs. * Applicants must be proficient in both written and oral English * The applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Qualifications required • An undergraduate honours degree (or equivalent) in Computer Science, Physics, Mathematics, Neuroscience, or a related discipline and a PhD (or expectation that one will soon be awarded) in a relevant discipline. An appointment to this role may require an Academic Technology Approval Scheme (ATAS) certificate. Contact Details/Informal Enquiries: Professor Volker Steuber, v.steuber(a)herts.ac.uk Professor Michael Schmuker, m.schmuker(a)herts.ac.uk Apply through: https://www.jobs.herts.ac.uk/go/048016 Our vision is to transform lives: UH is committed to Equality, Diversity and Inclusion and building a diverse community. We welcome applications from suitably qualified and eligible candidates regardless of their protected characteristics and recognise there are different ways applicants may achieve the criteria in this document. We offer a range of employee benefits including generous annual leave, flexible location opportunities within the UK, discounted Sports Village memberships and free Active Staff sessions, personal and professional development and family-friendly policies. Volker Steuber Professor of Computational Neuroscience Biocomputation Research Group School of Physics, Engineering and Computer Science University of Hertfordshire College Lane, Hatfield, AL10 9AB, UK biocomputation.herts.ac.uk<http://biocomputation.herts.ac.uk>

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Postdoc Position in Moral Artificial Intelligence (Jointly sponsored by Duke and CMU)
by Dr Jana Schaich Borg, Ph.D. 11 Mar '24

11 Mar '24

Postdoc available in our interdisciplinary Moral AI group! Description: We have an opening for a joint two-year postdoctoral position at the School of Computer Science at Carnegie Mellon University and the Social Science Research Institute, Duke Institute for Brain Sciences, and Kenan Institute for Ethics at Duke University (with the possibility of renewal for a third year). The postdoc can be employed through any of these departments in either University, depending on their preference. The candidate is expected to live in either Pittsburgh or Durham depending on their chosen home department, but will be asked to travel occasionally to the other location. The focus of the position is on conducting impactful research on moral artificial intelligence, addressing problems such as: Designing artificial intelligence systems to model and predict human moral judgments Designing effective elicitation mechanisms and interfaces to capture moral preferences Developing techniques for implementing and evaluating AI systems that are based on these modeled preferences, and assessing the dynamic impact of these systems on the preferences and behavior of users who interact with them Qualifications: Applicants should hold a Ph.D. in computer science, statistics, mathematics, computational neuroscience, computational cognitive science, or related technical fields and have expertise in Machine Learning and AI / statistics / data science. Additional background in moral psychology, moral philosophy, (AI or other) ethics, HCI, social decision-making and/or social science is preferred, but not required. Interested applicants should apply online <https://apply.interfolio.com/113237> <https://apply.interfolio.com/113237> (https://apply.interfolio.com/113237) or contact Dr. Jana Schaich Borg via email (js524(a)duke.edu) including a CV and statement of research interests, and the name of three referees that can provide letters of recommendation. We are strongly committed to a diverse academic environment and place high priority on attracting underrepresented candidates.

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Call for Visiting Scholars in Theoretical Sciences at OIST (Application by August 15)
by Kenji Doya 21 Oct '23

21 Oct '23

We are pleased to announce Visiting Scholars in Theoretical Sciences at OIST for a flexible term of 1 to 12 months as below. ***** As part of an initiative to develop a vibrant program in theoretical sciences, OIST invites applications for Visiting Scholars in the Theoretical Sciences. The Okinawa Institute of Science and Technology (OIST) is a research institution with a Ph.D. program. Outstanding graduate students and faculty are being attracted internationally. OIST is beautifully situated on the tropical island of Okinawa, Japan. Applicants should have a Ph.D. in a relevant field and be independent researchers, i.e., should have an academic standing equivalent to senior postdoc, junior group leader, or faculty member at a research-intensive institution. The position has a flexible term of 1 to 12 months taken continuously starting between October 2021 and March 2022 with a preference for longer-term visitors. The appointment may be taken while on leave or sabbatical from another university and comes with housing, research funds, and moving allowance. Successful candidates will be eligible to apply for support with salary, where this is necessary to facilitate the visit. No teaching duties come with the position. OIST is an institution with no departments, aiming to eliminate barriers between people working in different fields. It provides a family-friendly working environment including the multilingual Child Development Center and has proactive policies designed to promote a culture of diversity. OIST is an equal opportunity, affirmative action educator, and employer. Further details can be found at https://www.oist.jp/. Applicants should submit a CV including a list of publications, a brief description of their research to date and proposed research while visiting OIST, and the desired period of visit. All visits are subject to the availability of funding. Applications received by August 15, 2021, are guaranteed full consideration. If you have any questions, please send inquiries to: tsvp(a)oist.jp To apply, please go to our Interfolio page, http://apply.interfolio.com/88541 ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

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Faculty position at Cold Spring Harbor Laboratory in computational neuroscience
by Benjamin Cowley 28 Aug '23

28 Aug '23

Hi all, Cold Spring Harbor Laboratory has an open search for a faculty position in computational/theoretical neuroscience. Applications are due Nov. 15, 2022. https://www.cshl.edu/about-us/careers/faculty-positions/ Here is the job description: Cold Spring Harbor Laboratory (CSHL) is seeking to fill a faculty position in the area of COMPUTATIONAL/THEORETICAL NEUROSCIENCE. Of particular interest to this search are candidates with expertise in computational and theoretical neuroscience, machine learning, and artificial intelligence. The successful candidate will have an outstanding record of research achievement and an innovative research program. They will join a highly interactive and collaborative neuroscience group working on neural circuits, neural development, neurogenetics, theoretical and computational neuroscience, artificial intelligence, synaptic function, brain disorders, rodent cognition, perception, and social behavior. Preference will be given to applicants at the Assistant Professor level, but outstanding candidates at all career stages will be considered. Cold Spring Harbor Laboratory is a world-renowned research and educational institution with programs in cancer, neuroscience, plant biology, genomics, and quantitative biology. Located on the North Shore of Long Island 30 miles from New York City, the Laboratory has a rich and successful research environment rooted in interdisciplinary collaboration as well as an innovative graduate school that attracts talented students each year. CSHL is committed to fostering a diverse work environment that values best practices in mentorship, equity, and inclusion. Successful candidates will be expected to establish productive research programs while mentoring diverse groups of students and postdocs. Applications are strongly encouraged from groups historically underrepresented in science, including women and U.S. racial/ethnic minority populations. To apply, please submit a cover letter, CV, description of research accomplishments, statement of future research plans, and a statement of diversity & mentoring to: https://cshl.peopleadmin.com/postings/20153 Position ID 03299-R; letters of reference will be requested separately. The statement of diversity & mentoring should describe a candidate’s mentoring philosophy, contributions to equity and inclusion in science, and prior training (as applicable) in mentoring, academic management/leadership, and antidiscrimination/antiracism. We will begin considering applications on a rolling basis on October 5, 2022, and applications will be considered until *November 15*. Inquiries regarding the search should be directed to: CSHLfacultyjobs(a)cshl.edu

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

30 May '23

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

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

30 May '23

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

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

26 May '23

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

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

25 May '23

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

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

25 May '23

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

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

25 May '23

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

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

24 May '23

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

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

23 May '23

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

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

22 May '23

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

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

22 May '23

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

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

21 May '23

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

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Faculty positions (all ranks) in computational neuroscience at Claremont McKenna College
by Ran.Libeskind-Hadas＠claremontmckenna.edu 20 May '23

20 May '23

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

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

19 May '23

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

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

19 May '23

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

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

17 May '23

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

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

16 May '23

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

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

16 May '23

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

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Late-breaking poster abstract submission for the 32nd Annual Computational Neuroscience Meeting (CNS*2023)
by Rubchinsky, Leonid L 13 May '23

13 May '23

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

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

12 May '23

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

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

11 May '23

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

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

11 May '23

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

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

11 May '23

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

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

11 May '23

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

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

11 May '23

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

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

11 May '23

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

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

10 May '23

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

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

09 May '23

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

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

08 May '23

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

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

08 May '23

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

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

05 May '23

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

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

05 May '23

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

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PhD Studentship in Computational Neuroscience and Neurostimulation
by Volker Steuber 04 May '23

04 May '23

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

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

03 May '23

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

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NeuroBridges 2023
by Ahmed El Hady 03 May '23

03 May '23

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

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

02 May '23

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

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

01 May '23

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

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

01 May '23

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

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