September 2024 - Comp-neuro - lists.cnsorg.org

Late-breaking poster abstract submission for the 32nd Annual Computational Neuroscience Meeting ends on June 15
by Rubchinsky, Leonid L June 11, 2025

June 11, 2025

Dear Colleagues, We would like to remind that the late-breaking poster abstracts submission at CNS*2023 ends on June 15. CNS*2023, 32nd Annual Computational Neuroscience Meeting, will be in Leipzig, Germany, on July 15-19, 2023. The information about the meeting and abstract submission can be found here: 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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Save the date: UK Neural Computation meeting July 8-10th, Sheffield
by Mark Humphries Jan. 24, 2025

Jan. 24, 2025

Save the date! The UK Neural Computation meeting is in Sheffield for 2024, the gathering of the UK’s computational and systems neuroscience community 8 July: ECR day 9-10 July: main meeting 11 invited speakers, 4 talks from abstracts and loads of posters Abstract submission and registration opening soon Please spread the word! More details: https://neuralcomputation.uk/ Enquiries: uknc24(a)sheffield.ac.uk<mailto:uknc24@sheffield.ac.uk> Organisers Hannes Saal (Sheffield) Stuart Wilson (Sheffield) Mark Humphries (Nottingham) This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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Postdoctoral Researcher position at Goettingen Campus Institute for Dynamics of Biological Networks, University of Goettingen
by von Behren, Christina Dec. 16, 2024

Dec. 16, 2024

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

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PhD position on predictive representations / dynamic RSA, CIMeC, Uni Trento, Italy
by Moritz Wurm Nov. 17, 2024

Nov. 17, 2024

We are seeking for a highly motivated PhD student to join the Action Recognition and Concepts Group <https://www.cimec.unitn.it/en/929/action-recognition-and-concepts-group> at CIMeC (Center for Mind/Brain Sciences), University of Trento, Italy. The research project will focus on an MEG-based dynamic extension to representational similarity analysis (dynamic RSA <https://www.nature.com/articles/s41467-023-39355-y>) that we have recently developed in our lab to investigate predictive representations of dynamic events. We're looking for applicants who: · Have a strong drive to pursue a career in scientific research · Possess independent and critical thinking skills · Excel in collaborative teamwork · Have a background in cognitive neuroscience (preferably M/EEG or fMRI, MVPA/RSA) and strong programming skills (preferably Matlab) At CIMeC, you'll have access to cutting-edge research facilities, such as: · A brand new MEGIN TRIUX neo MEG system · A 3T MRI Siemens Prisma · TMS, EEG, and combined TMS-EEG setups · Human intracranial stereotactic EEG · Eye-tracking systems · Kinematic recording systems All equipment is dedicated 100% to research purposes, providing you with the ideal environment for testing your research questions. As a member of our lab and of the wider CIMeC community, you will be part of an international community of students and researchers in a vibrant scientific environment. The working language is English. Our lab enjoys numerous international collaborations, and we offer ample opportunities to engage with the broader scientific community through conferences, workshops, and international meetings, supported by research funding attracted by our lab. Living in Trentino offers a unique combination of natural beauty and cultural richness. Situated among stunning landscapes between the Dolomites and Lake Garda, it provides a serene setting where you can appreciate nature alongside various cultural activities and sports. Trentino is undoubtedly one of the most beautiful regions in Italy, offering an exceptional quality of life alongside your academic pursuits. Deadline to apply is June 24. Find more information on CIMeC’s doctoral program here <https://www.unitn.it/drcimec/>. If you are thrilled to contribute to our research in cognitive neuroscience, please send an informal inquiry, including a CV and a brief statement of research interests, to moritz.wurm(a)unitn.it <mailto:moritz.wurm@unitn.it>. We look forward to hearing from you! Best wishes, Moritz Wurm

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PhD Position in Neuro-Symbolic AI at Ulm University
by Daniel Braun Oct. 1, 2024

Oct. 1, 2024

1x PhD Position (TVöD E13) in Neuro-Symbolic AI University of Ulm Institute of Neural Information Processing Faculty of Engineering, Computer Science and Psychology There is a fully funded PhD position available at the Institute of Neural Information Processing, Ulm University. At the institute we are interested in the mathematical foundations of intelligent behaviour in biological and artificial systems. The PhD topic will revolve around the fundamental question of how the abstraction capabilities of classic symbolic knowledge systems can be combined with the sub-symbolic pattern recognition capabilities of neural networks in order to allow neural networks to take existing knowledge into account when making predictions. The PhD position will be part of the newly established DFG graduate school KEMAI (Knowledge Infusion and Extraction for Explainable Medical AI). The structured PhD programme has a duration of 3 years with the possibility of extending for one more year. The candidate will have the opportunity both to make contributions to fundamental questions in AI and cognitive science and to apply their work directly in the context of medical imaging through collaboration with University Clinic. Within the same broad topic area there is a second PhD position available at the Institute of Medical Systems Biology that includes investigation of genetic markers. The applicants should have a strong mathematical background, hold a degree in natural science, mathematics, economics, psychology, computer science, engineering or similar and have a keen interest in neuroscience and artificial intelligence. The University of Ulm is an equal opportunity employer. Candidates should send a CV and a brief statement of interest to Prof. Dr. Dr. Daniel Alexander Braun daniel.braun(a)uni-ulm.de

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Fully funded trainee positions at CHINTA, TCG CREST, Kolkata
by Subhasis Ray Sept. 29, 2024

Sept. 29, 2024

<Apologies for cross posting> Dear Colleagues, We are looking for self motivated and talented individuals for trainee positions (Research Assistant, PhD student, and Postdoc) at CHINTA, TCG CREST (https://www.tcgcrest.org/institutes/chinta/) in Kolkata, India in the following groups: Dr Agnik Dasgupta: Seeing is Believing: How does the brain develop in a living animal? We utilize optics and genetics to address this question using zebrafish! https://x.com/Agnik85 Dr Anant Jain: Understanding the mechanisms underlying behaviorally relevant synaptic plasticity using electrophysiology, two-photon imaging and behavior: https://www.tcgcrest.org/people/anant-jain/ Dr Subhasis Ray: Understanding neural circuits through experiments and simulations, developing neuro-simulator and scientific software: https://rayslab.github.io/ We have a rolling intake and the trainees will be fully funded by TCG CREST, with suitable adjustments for international candidates. We offer a highly interdisciplinary environment, with several other institutes under TCG CREST (https://www.tcgcrest.org/) conducting research in a wide range of areas such as AI, applied mathematics, and quantum computing. So in addition to biological sciences, students from diverse backgrounds like engineering, physics, chemistry, mathematics, and computer science, are welcome. Please spread the word to anybody who might be interested. Best, Agnik, Anant, and Subhasis ... PS : "Chinta" means "thought" in Sanskrit and related languages.

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Neurtex Manual Spike Sorting Contest
by Peter N. Steinmetz Sept. 27, 2024

Sept. 27, 2024

I am writing to share a contest that students and postdocs (and possibly others) may be interested in. The Neurtex Manual Spike Sorting Contest is designed to assess how accurately spike sorting works in human intracranial microwire recordings and offers a $5000 first and other prizes. In the contest, participants are asked to perform spike sorting using any method they choose to identify spiking activity in 120 channels. These channels are a mixture of simulated and real recordings so accuracy can be judged directly for the simulated channels. Further details are available at https://neurtex.org/neurtex-manual-spike-sorting-contest/ . If you feel that others may be interested, a small poster announcing the contest which you can use to spread awareness of this opportunity is available at https://neurtex.org/wp-content/uploads/2024/07/Flyer.pdf . cheers, Peter -- Peter N. Steinmetz, MD, PhD Chief Scientist, Neurtex Brain Research Institute PeterNSteinmetz(a)steinmetz.org http://steinmetz.org/peter<https://www.postbox-inc.com>

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PhD-Researcher and Lecturer, Neurocomputation of Language, Tilburg University (1.0 fte, six years)
by Harm Brouwer Sept. 27, 2024

Sept. 27, 2024

PhD-Researcher and Lecturer, Neurocomputation of Language, Department of Cognitive Science and Artificial Intelligence, Tilburg University (1.0 fte, six years) The Neurocomputation of Language (NCL) lab from the Department of Cognitive Science & Artificial Intelligence (CSAI) at Tilburg University invites applications for a 6-year position. The successful applicant for this position would spend 60% of their time as a PhD student and 40% as a lecturer. The PhD project would be determined by the successful applicant and the lab director but should employ advanced statistical modeling and/or neurocomputational modeling to address one or more of the core themes of the lab: the nature and time course of language comprehension, the neural representation and computation of meaning, and the cortical organization of the language network. The educational tasks of the candidate could include leading practical sessions, grading assignments and exams, and (eventually) supervising thesis students. Requirements * Master’s degree in (computational) cognitive (neuro)science, neurobiology of language, or a related field. If you expect to obtain your degree before August 2024, you are also eligible. * Good knowledge of statistics and machine learning (practical experience with large language models is a plus). * Excellent knowledge of English and good academic writing skills. What we offer * A full-time position. * The selected candidate will receive a contract for six years. * You will receive a temporary employment contract for the duration of 12 months. A 5-year extension is offered upon a positive assessment. After one year your UFO profile will change to PhD Candidate / Lecturer. In the second year your initial education assignment is 40% and your research assignment is 60%. * A minimum gross salary of €3226- per month up to a maximum of € 4036- in the 6th year. For the duration of 12 months, you are entitled to a allowance. The amount is the difference in salary of scale 10 level 0 and scale PR level 0. * A holiday allowance of 8% and an end-of-year bonus of 8.3% (annually). * Researchers from outside the Netherlands may qualify for a tax-free allowance equal to 30% of their taxable salary (the 30% tax regulation). The University will apply for such an allowance on their behalf. Note that the 30% rule will be scaled back from 1 January 2024. For new applications, during a five-year term, the scheme will gradually decrease to a 10% rule. More specifically, this means that during the first 20 months of the term, 30% of the salary will be reimbursed untaxed. In the next 20 months, this percentage drops to 20% and during the last 20 months, the untaxed reimbursement is 10% of the salary. * Assistance in finding accommodation (for foreign employees). * Benefits such as an options model for terms and conditions of employment and reimbursement of moving expenses, also including excellent technical infrastructure, savings schemes and excellent sports facilities. The collective labor agreement of the Dutch Universities applies. Information and application More detailed project information can be provided on request: please contact dr. Harm Brouwer (h.brouwer(a)tilburguniversity.edu<mailto:h.brouwer@tilburguniversity.edu>), PI of the Neurocomputation of Language lab. To apply, please submit: * a motivation letter in which you describe why you want to be considered for this position, and why you are the right person to do it; * a full curriculum vitae, demonstrating academic excellence, including publications (if applicable); academic transcripts of your Bachelor and Master’s degrees; * a sample of writing, such as your Master’s thesis or a relevant paper; * contact details of two academic referees. The only way to apply is online<https://career5.successfactors.eu/career?career%5fns=job%5flisting&company=…>. The first deadline for application is July 21, 2024, the position is open until filled. The starting date of this position is negotiable but preferably no later than October 1st, 2024. Neurocomputation of Language lab The Neurocomputational of Language (NCL) lab combines neurocomputational modeling with empirical experimentation to investigate the neural basis of language. Grounded in principles of neural information processing, and informed by empirical insights on the nature and time course of comprehension, our models aim to offer mechanistic explanations of how an interpretation is constructed in real time as spoken or written linguistic signal unfolds on a, more or less, word-by-word basis. See the lab website for more information: https://www.tilburguniversity.edu/about/schools/tshd/departments/dca/lab/ne… The department of Cognitive Science & Artificial Intelligence (CSAI) The Cognitive Science and Artificial Intelligence department (https://csai.nl/) at Tilburg University is part of the Tilburg School of Humanities and Digital Sciences. The department emphasizes innovative research spanning a wide array of fields including computational linguistics and language technology, data-science, human-robot interaction, virtual reality and serious games. CSAI is a member of the Benelux Association for Artificial Intelligence, participates in the Special Interest Group for AI (SIG AI), and also participates in the Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE). Tilburg University and the CSAI department offer a vibrant international environment, with current CSAI staff originating from more than 10 countries. Tilburg School of Humanities and Digital Sciences Research and education at the Tilburg School of Humanities and Digital Sciences (TSHD) has a unique focus on humans in the context of the globalizing digital society, on the development of artificial intelligence and interactive technologies, on their impact on communication, culture and society, and on moral and existential challenges that arise. The School of Humanities and Digital Sciences consists of four departments: Communication and Cognition, Cognitive Science and Artificial Intelligence, Culture Studies and Philosophy; several research institutes and a faculty office. Also the University College Tilburg is part of the School. Each year around 275 students commence a Bachelor or (Pre) Master Program. The School has approximately 2000 students and 250 employees. Tilburg School of Humanities and Digital Sciences<https://www.tilburguniversity.edu/about/schools/humanities/> Recruitment code Tilburg University applies the recruitmentcode<https://kmt.nvp-hrnetwerk.nl/download/?id=21374> of the Dutch Association for Personnel Management & Organization Development (NVP). Disclaimer The text of this vacancy advertisement is copyright-protected property of Tilburg University. Use, distribution and further disclosure of the advertisement without express permission from Tilburg University is not allowed, and this applies explicitly to use by recruitment and selection agencies which do not act directly on the instructions of Tilburg University. Responses resulting from recruitment by non-contractors of Tilburg Universities will not be handled. -- [ Dr. Harm Brouwer, Associate Professor [ Cognitive Science and Artificial Intelligence, Tilburg University [ E-mail: h.brouwer(a)tilburguniversity.edu<mailto:h.brouwer@tilburguniversity.edu> [ http://www.hbrouwer.eu/

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Faculty Position - Computational Neuroscience @ Middlebury College
by Dash, Mike Sept. 26, 2024

Sept. 26, 2024

Dear Colleagues, Middlebury College is currently accepting applications for a tenure-track, computational neuroscientist to begin Fall 2025. If you’re interested in working with talented and motivated undergraduate students, in an academic environment that balances teaching (typically two courses per semester) and research, we encourage you to review our job posting (see below) and apply online: https://apply.interfolio.com/148567 Review of applications begins October 11th, 2024. Thanks, Mike Dash Associate Professor of Psychology and Program in Neuroscience Middlebury College ---------- COMPUTATIONAL NEUROSCIENTIST AT MIDDLEBURY COLLEGE. The Program in Neuroscience invites applications for a tenure-track appointment at the rank of Assistant Professor with a preferred focus in computational neuroscience or neurogenomics, beginning in Fall 2025. The Program in Neuroscience is especially interested in candidates who can contribute to the growing diversity and excellence of the academic community through their teaching, scholarship, and service. Commitment to inclusive pedagogy, mentoring, and advising a diverse population of students is essential. Applicants should have a Ph.D., postdoctoral experience, demonstrated commitment to excellence in teaching, and a proposed research program in computational neuroscience or neurogenomics that involves undergraduate students. The successful candidate is expected to be able to teach a course in cellular and molecular neuroscience and/or behavioral neuroscience. In addition, the candidate will contribute to the neuroscience curriculum with a course in statistics, and an upper-level elective broadly relevant to the field of computational neuroscience or neurogenomics. The candidate will occasionally contribute to Middlebury’s First Year Seminar Program and Winter Term course offerings. All faculty at Middlebury College are also expected to contribute to service to the College including, but not limited to, committee membership and serving as Director or Chair of a Program or Department. Middlebury College is a top-tier liberal arts college with a demonstrated commitment to excellence in both faculty teaching and research. It is also committed to fostering a truly inclusive, open, and supportive learning, teaching, and working environment. The College hires faculty from around the world and a myriad of life experiences, cultures, frames of reference, social identities, and learning perspectives to help cultivate and advance innovation in our curriculum and to provide a rich and varied educational experience to our talented and distinguished student body. To that end, Middlebury College seeks applications from people who would contribute to our increasingly diverse educational community not only through their backgrounds and interests, but in age, gender identity or expression, sexual orientation, ethnicity, national origin, religion, and physical ability.     Middlebury College uses Interfolio to collect all faculty job applications electronically. Email and paper applications will not be accepted. Through Interfolio submit: a letter of application addressed to Professor Mark Spritzer, search committee chair; a curriculum vitae; a statement of teaching philosophy; a statement of research interests and plans; a statement of inclusion; and three current letters of recommendation which speak to teaching ability. At Middlebury, we strive to make our campus a respectful, engaged community that embraces difference, with all the complexity and individuality each person brings. With your application materials, provide a separate statement (1-2 pages) addressing how your teaching, scholarship, mentorship, and/or community service demonstrate a commitment to and/or evidence of engaging with issues of diversity and inclusion. Review of applications will begin on October 11, 2024, and continue until the position is filled. Offers of employment are contingent on completion of a background check. Information on our background check policy can be found here: http://go.middlebury.edu/backgroundchecks. 

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GCNU-SWC Joint PhD Programme 2025: Applications now open
by Lin, I-Chun Sept. 26, 2024

Sept. 26, 2024

*** Gatsby Unit and Sainsbury Wellcome Centre Joint PhD Programme *** Deadline: 11 November 2024 The Gatsby Computational Neuroscience Unit (GCNU) and Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC) are launching a 4-year joint PhD programme that aims to bridge the gap between theory and experiments. The two centres provide a unique opportunity for a critical mass of theoreticians and experimentalists to interact closely with one another and with researchers at the Centre for Computational Statistics and Machine Learning (CSML) and related UCL departments/domains such as UCL Neuroscience Domain; Artificial Intelligence; the ELLIS Unit at UCL; Computer Science; Statistical Science; and the nearby Francis Crick and Alan Turing Institutes. The joint programme will provide a rigorous preparation for an interdisciplinary research career. The programme blends aspects of the two existing PhD programmes and is designed to immerse students in both experimental and theoretical thinking. Courses in the first year provide a comprehensive introduction to systems neuroscience, theoretical/computational neuroscience, and machine learning. Students will be part of the broader trainee cohort across both centres, interacting and engaging in scientific discussion with both SWC and GCNU researchers with equal emphasis. Applicants should have a strong analytical and mathematical background, a keen interest in neuroscience, and a relevant first degree (e.g., in Computer Science, Cognitive Psychology, Engineering, Mathematics, Neuroscience, Physics, Statistics). Full funding is available regardless of nationality. We also welcome applicants who have secured or are seeking funding from other sources. Applications should be submitted directly to us via the online portal. For programme details (including the key differences between the Gatsby Unit PhD programme, the SWC PhD programme, and the joint programme) and how to apply, see www.ucl.ac.uk/gatsby/study-and-work/gcnu-swc-joint-phd-programme. -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL

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Leveraging Simulation Neuroscience using Blue Brain's Open Platform at SFN
by Lida Kanari Sept. 26, 2024

Sept. 26, 2024

Dear colleagues,We are thrilled to announce that Blue Brain will be featured at the upcoming SfN 2024 meeting in Chicago. For the first time, we will be offering access to the Blue Brain Open Platform - a comprehensive suite of simulation neuroscience tools designed to enhance your research.As the Blue Brain Project concludes at the end of this year - marking nearly two decades of pioneering work to establish simulation neuroscience as a vital complement to experimental and theoretical approaches - we are proud to release the entire collection of tools, data, and algorithms developed throughout the project.Compiled across nearly 300 publications and 1 petabyte of data, these resources include 260+ public repositories, over 5,000 reconstructed morphologies, more than 100k electrophysiological recordings and 500 e-model, as well as more than 5 detailed models of brain regions, with hundreds of in-vitro simulation experiments - integrated into a single, user-friendly platform for the neuroscience community.We invite you to join our 1-hour workshops at SfN to explore the capabilities of the Blue Brain Open Platform: * Delve into detailed mouse brain data, including experimental and model datasets * Leverage existing models or create custom ones tailored to your research * Design and execute simulation experiments in your own Virtual Lab Sign up for the workshop here: https://forms.gle/jKCAxPzbkCP3P7MT6Our team will also be present at the Blue Brain Project Booth #1852, where we will showcase our range of tools and share our latest findings through over a dozen posters.Please feel free to share this invitation with colleagues or anyone interested in exploring the Blue Brain Open Platform as a new tool for simulation neuroscience.We look forward to collaborating with you on the platform! Best regards, Lida Kanari, PhD Group Leader Neuromathematics Blue Brain Project / EPFL Campus Biotech Chemin des Mines 9, CH-1202 Geneva +41 21 693 9656

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Postdoctoral fellowship positions in functional neurosurgery, University Health Network, Toronto, Canada
by srisaikaew.p＠gmail.com Sept. 25, 2024

Sept. 25, 2024

Dear colleague, The Hodaie lab, led by Dr. Mojgan Hodaie at the Krembil Brain Institute, Toronto Western Hospital, University Health Network, Toronto, Canada, is currently hiring new postdocs. Job description: Job type, Status: Temporary full-time Job function: Research Job duration: 12 months, renewable Required Travel: None Min Education: PhD Min Experience: 1-2 years Salary: Set by Krembil Research Institute, UHN Workplace type: On-Site, Toronto, Ontario, Canada Project / position summary: Magnetic Resonance Imaging (MRI) is an important tool for the non-invasive pre-surgical assessment of peripheral nerve sheath tumors. While conventional MRI sequences provide limited contrast to distinguish between tumor types or between nerve and tumor tissue, diffusion MRI techniques offer the potential for improved pre-surgical assessment. This project is focused on the application of state-of-the-art processing pipelines for diffusion MRI and tractography to provide additional means for neurosurgeons to assess nerve-tumor relationships prior to surgery. In particular, this includes the implementation of diffusion MRI tractography methods tailored to peripheral nerves, high-quality 3D visualizations for presentation and documentation purposes, as well as the implementation of new customized algorithms to cover new analysis objectives. Key responsibilities: - Keeping track of diffusion MRI-based imaging sessions related to peripheral nerve sheath tumors including timely download, image processing, and presentation of results - Selection of appropriate diffusion MRI sequence parameters - Implementation and application of state-of-the-art diffusion MRI and tractography processing pipelines adopted for peripheral nerves - Collaboration with neurosurgeons to define timelines, to identify and understand analysis objectives, and to discuss analysis results interactively - Lead efforts to define, execute and publish research projects in the context of this project This position will allow you to: - Work in a world-class clinical research environment - Present findings at national/international conferences - Publish in excellent journals - Actively engage and network with the large Toronto neuroscience community with one of the highest densities of neuroscientists in North America Job requirements: This position requires the following skills: - A Ph.D. in neuroimaging in neuroscience, psychology, medical physics, or related fields. - Prior experience in any of the following areas: Diffusion MRI processing, diffusion MRI tractography, interest in peripheral nerve imaging - Good knowledge of scripting languages in a Linux-based environment, in particular Bash and Python - Good knowledge of diffusion MRI and tractography processing frameworks, in particular MRtrix3 and FSL - Ability to work independently and deliver on schedule. - Excellent interpersonal and communication skills. - Committed to continuous learning and improvement. More information about the positions can be found here: https://www.hodaielab.com/ Interested candidates are encouraged to reach out to Dr. Mojgan Hodaie directly to discuss the positions. Best regards, Patcharaporn Srisaikaew, PhD Postdoctoral Researcher | Hodaie Surgical Imaging Laboratory, Division of Brain, Imaging and Behaviour at Krembil Brain Institute, Toronto Western Hospital, University Health Network 135 Nassau St, Toronto, ON, M5T 1M8

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50+ positions in Machine Learning and AI
by Robert Legenstein Sept. 25, 2024

Sept. 25, 2024

Call for Applications For the recently established Cluster of Excellence CoE Bilateral Artificial Intelligence (BILAI), funded by the Austrian Science Fund (FWF), we are looking for more than 50 PhD students and 10 Post-Doc researchers (m/f/d) to join our team at one of the six leading research institutions across Austria (see below). In BILAI, major Austrian players in Artificial Intelligence (AI) are teaming up to work towards Broad AI. As opposed to Narrow AI, which is characterized by task-specific skills, Broad AI seeks to address a wide array of problems, rather than being limited to a single task or domain. To develop its foundations, BILAI employs a Bilateral AI approach, effectively combining sub-symbolic AI (neural networks and machine learning) with symbolic AI (logic, knowledge representation, and reasoning) in various ways. Harnessing the full potential of both symbolic and sub-symbolic approaches can open new avenues for AI, enhancing its ability to solve novel problems, adapt to diverse environments, improve reasoning skills, and increase efficiency in computation and data use. These key features enable a broad range of applications for Broad AI, from drug development and medicine to planning and scheduling, autonomous traffic management, and recommendation systems. Prioritizing fairness, transparency, and explainability, the development of Broad AI is crucial for addressing ethical concerns and ensuring a positive impact on society. The research team is committed to cross-disciplinary work in order to provide theory and models for future AI and deployment to applications. CoE Research Institutions: Johannes Kepler Universität Linz (JKU Linz) Technische Universität Wien (TU Wien) Alpen-Adria-Universität Klagenfurt (AAU) Institute of Science and Technology Austria (ISTA) Technische Universität Graz (TU Graz) Wirtschaftsuniversität Wien (WU Wien) The call for applications is available at https://www.bilateral-ai.net/jobs/ -- Dr. Robert Legenstein Univ.-Professor Institute of Theoretical Computer Science Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.igi.tugraz.at/legi/ Follow @CompLegenstein on Twitter. WebEx meeting room: https://tugraz.webex.com/meet/robert.legenstein ++43/316/873-5824 ----------------------------------

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School on the Origins of Life, Behavior and Cognition 2025
by Ahmed El Hady Sept. 25, 2024

Sept. 25, 2024

** *School on the Origins of Life, Behavior and Cognition* *March 10-21, 2025* *ICTP-SAIFR, São Paulo, Brazil* */Application Deadline:/December 28, 2024* School on Origins is an interdisciplinary school that tackles the foundational questions concerning the origins of biophysical systems which include but are not limited to : molecular, cellular, neural and behavioral systems. We aim to find principles shared across systems using tools from statistical physics, mathematical analysis and numerical simulations to explore these questions. We have invited researchers that work both on the experimental and theoretical side to cover a variety of biophysical systems and theoretical approaches. The school is aimed at graduate students either at the master’s or PhD level who have a strong quantitative background and a keen interest to pursue interdisciplinary research. We invite students pursuing degrees in physics, computer science, engineering, or mathematics. Those pursuing degrees in biology need to provide evidence of strong and extensive quantitative background in topics such as calculus, dynamical systems and numerical programming. /There is no registration fee and limited funds are available for travel and local expenses./ *Organizers:* * *Ahmed El Hady* (Center for Collective Animal Behavior, Max Planck Institute and Univ.Konstanz, Germany) * *Antonio C. Roque* (USP Ribeirão Preto, Brazil) * *Daniel Y. Takahashi* (UFRN, Brazil) *Lecturers:* * *Suzanne Still* (University of Hawaii at Mānoa, USA) * *Randall Beer* (Indiana University Bloomington, USA) * *Asif Ghazanfar* (Princeton University, USA) * *Don Katz* (Brandeis University, USA) * *Gandhimohan M. Viswanathan* (Universidade Federal do Rio Grande do Norte – UFRN, Brazil) * *Bruno Mota* (Federal University of Rio de Janeiro, Brazil) * *Ana Amador* (University of Buenos Aires, Argentina) All details and application procedure can be found here: https://www.ictp-saifr.org/solbc2025/ <https://www.ictp-saifr.org/solbc2025/> . Please let me know if you have any questions, All the best regards, Ahmed El hady Dr. Ahmed El Hady Research Group Leader Cluster for Advanced Study of Collective Behavior University of Konstanz / Max Planck Institute of Animal Behavior Universitätsstraße 10, 78464 Konstanz Room ZT 907 Postbox 687 Tel.: +49 7531 88-4742

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Senior post-doctoral position in Theoretical and Computational Neuroscience
by Matteo Marsili Sept. 23, 2024

Sept. 23, 2024

"Rita Levi-Montalcini" Senior Postdoctoral Fellowship The Quantitative Life Sciences (QLS) section of the Abdus Salam International Centre for Theoretical Physics (ICTP) seeks applications for one postdoctoral position starting spring/summer 2025 from outstanding young scientists of any nationality with a strong research record. Candidates should be able to carry active multidisciplinary research in the area of Theoretical and computational neuroscience Candidates from underrepresented groups are particularly encouraged to apply. ICTP is a UNESCO Category 1 research institute supporting science and education in the developing world, and promotes worldwide initiatives for the career development of Women in Science. The QLS section provides a unique international, multidisciplinary research environment for postdoctoral fellows with about 15 group members (faculty, postdocs, graduate students and visitors) an intense program of workshops and conferences, close collaborations with local institutions (SISSA, ICGEB, Trieste University) and internationally-renowned research institutions. Postdoctoral fellows are encouraged, and supported, to participate in activities in developing countries in order to promote the mission of the ICTP and to contribute to the teaching activities of the ICTP QLS Diploma program. Application deadline: 15 December 2024 More information at: https://www.ictp.it/opportunity/rita-levi-montalcini-senior-postdoctoral-fe… <https://www.ictp.it/opportunity/rita-levi-montalcini-senior-postdoctoral-fe…> Matteo Marsili Senior Research Scientist, Abdus Salam ICTP, Strada Costiera 11, 34014, Trieste Ph: +390402240461, fax: +3904022407461, email: marsili(a)ictp.it

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Gatsby Unit PhD Programme 2025: Applications now open
by Lin, I-Chun Sept. 22, 2024

Sept. 22, 2024

PhD Programme in Theoretical Neuroscience and Machine Learning Deadline: 11 November 2024 The Gatsby Computational Neuroscience Unit is a leading research centre focused on theoretical neuroscience and machine learning. We study (un)supervised and reinforcement learning in brains and machines; inference, coding and neural dynamics; Bayesian and kernel methods, and deep learning; with applications to the analysis of perceptual processing and cognition, neural data, signal and image processing, machine vision, network data and nonparametric hypothesis testing. The Unit provides a unique opportunity for a critical mass of theoreticians to interact closely with one another and with researchers at the Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC), the Centre for Computational Statistics and Machine Learning (CSML) and related UCL departments such as Computer Science; Statistical Science; Artificial Intelligence; the ELLIS Unit at UCL; Neuroscience; and the nearby Alan Turing and Francis Crick Institutes. Our PhD programme provides a rigorous preparation for a research career. Students complete a 4-year PhD in either machine learning or theoretical/computational neuroscience, with minor emphasis in the complementary field. Courses in the first year provide a comprehensive introduction to both fields and systems neuroscience. Students are encouraged to work and interact closely with SWC/CSML researchers to take advantage of this uniquely multidisciplinary research environment. Applicants should have a strong analytical and quantitative background, a keen interest in neuroscience, machine learning or both, and a relevant first degree, for example in Mathematics, Statistics, Computer Science, Engineering, Physics, Neuroscience or Cognitive Psychology. Full funding is available regardless of nationality. The unit also welcomes applicants who have secured or are seeking funding from other sources. Applications should be submitted directly to us via the online portal. For programme details and how to apply, see www.ucl.ac.uk/gatsby/study-and-work/gatsby-unit-phd-programme<https://www.ucl.ac.uk/gatsby/study-and-work/gatsby-unit-phd-programme>. -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL

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Multiple Tenured and Tenure-Track Faculty Positions in Human Intelligence, Artificial Intelligence and Machine Learning
by Zoran Tiganj Sept. 22, 2024

Sept. 22, 2024

The College of Arts and Sciences <https://college.indiana.edu/> and the Luddy School of Informatics, Computing, and Engineering <https://luddy.indiana.edu/> at Indiana University Bloomington invite applications for multiple open-rank, tenured or tenure-track faculty positions in one or more of the following areas: artificial intelligence, human intelligence, and machine learning to begin in Fall 2025 or after. Appointments will be in one or more departments, including Cognitive Science <https://cogs.indiana.edu/index.html>, Computer Science <https://cs.indiana.edu/index.html>, Informatics <https://informatics.indiana.edu/index.html>, Intelligent Systems Engineering <https://engineering.indiana.edu/?_gl=1*1emk78c*_gcl_au*MTQ4MTUwMTkzLjE3MjIz…..> , Mathematics, <https://math.indiana.edu/index.html> and Psychological and Brain Sciences <https://psych.indiana.edu/index.html>. We encourage applications from scholars who apply interdisciplinary perspectives across these fields to a variety of domains, including cognitive science, computational social sciences, computer vision, education, engineering, healthcare, mathematics, natural language processing, neuroscience, psychology, robotics, virtual reality, and beyond. Reflecting IU’s strong tradition of interdisciplinary research, we encourage diverse perspectives and innovative research that may intersect with or extend beyond these areas. The positions are part of a new university-wide initiative that aims to transform our understanding of human and artificial intelligence, involving multiple departments and schools, as well as the new Luddy Artificial Intelligence Center <https://ai.luddy.indiana.edu/index.html>. *Application Procedures:* To apply, submit a CV, letter of application that describes your research, teaching, and engagement with fostering a diverse and welcoming work environment, and provide the names of three references. References will only be contacted for those candidates moving to advanced stages of consideration. Interested candidates should submit applications at: https://indiana.peopleadmin.com/postings/25788. Application review begins November 1, 2024, but we welcome submissions after this date. We accommodate varied timelines across disciplines to ensure all qualified applicants are considered. The position’s expected start date is August 1, 2025; however, alternative dates can be considered. All queries about the position or the application procedures may be addressed to faculty1(a)indiana.edu. ---- Zoran Tiganj, PhD Assistant Professor Department of Computer Science Luddy School of Informatics, Computing, and Engineering Department of Psychological and Brain Sciences Indiana University Bloomington https://homes.luddy.indiana.edu/ztiganj/ <https://homes.luddy.indiana.edu/ztiganj/%E2%80%8B>

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[Call for Data & Paper] 2nd International Whole Brain Architecture Workshop (Feb. 24th, 2025)
by Hiroshi Yamakawa Sept. 22, 2024

Sept. 22, 2024

Dear Colleagues, << Early Bird Alert: Paper Abstract Submission Deadline - November 1st, 2024 (JST) >> We are pleased to announce the Second International Whole Brain Architecture Workshop, building on the remarkable success of our inaugural event. (The first online workshop, held in July 2024, attracted over 100 participants and generated significant enthusiasm in the field.) This second workshop will be held on February 24th, 2025 ( https://wba-initiative.org/en/24521/ ). Registration for presentations opens on October 20th, 2024, and we eagerly anticipate your submissions of BRA data. About This Workshop: The development of brain-inspired artificial intelligence, which aims to understand and simulate the computational functions of the brain, is a promising approach to reproducing human-like problem-solving abilities. This ambitious goal requires knowledge from diverse research fields, including neuroscience and cognitive science. Given the vast amount of knowledge needed, it is crucial to accumulate and share standardized design information as open knowledge. This workshop serves as a platform for cooperation and sharing of standardized design information (BRA data) essential for developing brain-inspired AI. Additionally, it provides an opportunity to enhance the academic value of submitted datasets through expert discussions and peer review. Why Participate: • Contribute to the cutting-edge field of brain-inspired AI • Share your research with a global audience of experts • Gain insights from interdisciplinary discussions • Potential for your work to be published on the BRA Editorial System (BRAES) https://ggle.io/6ybj We invite submissions of BRA data and accompanying papers. Accepted data and papers will be published on BRAES, with paper DOIs shared on the workshop program page. We believe that this sharing and integration of brain-inspired AI design information will significantly advance the field. Date and Location (hybrid): • Date: February 24th, 2025 (Monday) • Venue: Tokyo, Japan (on-site) and online (details TBA) Important Dates: • BRA Data submission opens: October 20th, 2024 (JST) • Paper abstract submission deadline: November 1st, 2024 (JST) • BRA Data submission deadline: December 20th, 2024 (JST) • Full Paper submission deadline: January 4th, 2025 (JST) • Completed BRA Data submission deadline: January 4th, 2025 (JST) • Paper notification: January 24th, 2025 (JST) For detailed submission guidelines, please visit: https://wba-initiative.org/en/24521/ We look forward to welcoming you and your colleagues to present data and papers and to engage in stimulating discussions that will shape the future of brain-inspired AI. If you have any questions, please don't hesitate to contact the Workshop organizers at bra-support(a)wba-initiative.org. Join us in advancing the frontier of brain-inspired artificial intelligence! Best regards, BRA Support Team

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Responsible AI Initiative at the University of Utah
by Rob MacLeod Sept. 20, 2024

Sept. 20, 2024

Dear Colleagues, The Scientific Computing and Imaging (SCI) Institute <https://www.sci.utah.edu/> at the University of Utah is pursuing a new initiative in Responsible AI (RAI) and there are fellowships available now for faculty and postdocs. To learn more about the fellowships, please see this link <https://rai.utah.edu/opportunities/>and to learn more about the RAI Initiative, check here <https://rai.utah.edu/>. Of special relevance to this list is the RAI thrust in Behavioral Health and Wellness. Read more about this thrust here <https://rai.utah.edu/about/healthcare-and-wellness/>. Best, Rob Rob MacLeod, PhD Deputy Director, Scientific Computing and Imaging (SCI) Institute Professor and Vice-Chair of Biomedical Engineering Adjunct Professor of Internal Medicine Senior Investigator, Cardiovascular Research and Training Institute (CVRTI) University of Utah 72 Central Campus Drive Salt Lake City, Utah 84112 Email: macleod(a)sci.utah.edu <mailto:macleod@sci.utah.edu> URL: www.sci.utah.edu/~macleod <http://www.sci.utah.edu/~macleod>

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SNUFA 2024 abstract submission closing soon
by Friedemann Zenke Sept. 20, 2024

Sept. 20, 2024

This is a friendly reminder that the SNUFA 2024 abstract submission closes soon (deadline Sept 27). SNUFA 2024: 5-6 November (online)--your friendly online focus meeting on spiking neural networks that compute. See https://snufa.net/2024 for details. This year's invited speakers are Chiara Bartolozzi (IIT Genova), David Kappel (University of Bochum), Anna Levina (Uni Tübingen), and Christian Machens (Champalimaud). Like every year, the workshop brings together computational neuroscience, machine learning, and neuromorphic engineering researchers to present their work and discuss how to translate these findings into a better understanding of neural circuits. The workshop is traditionally online. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We aim to have a manageable number of talks with ample discussion time. SNUFA 2024 is brought to you by Melika Payvand, Laurent Perrinet, Dan Goodman, and Friedemann Zenke. -- https://snufa.net/2024

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Postdoc positions in cognitive neuroscience and computational psychiatry, University of Tuebingen, Germany
by Susan Fischer Sept. 20, 2024

Sept. 20, 2024

**Apologies for cross-posting** Dear colleagues, The "Developmental Computational Psychiatry" lab and the W3 professorship "Computational Psychiatry" led by Tobias Hauser at the University of Tübingen (Germany) is currently hiring new postdocs. The focus of the lab is to better understand the computational and neural mechanisms underlying decision making and learning, and how these processes go awry in patients with mental illnesses. The successful candidates will have the chance to work in a highly dynamic and inspiring environment and to collaborate closely with Prof Peter Dayan and the Max-Planck Institute for Biological Cybernetics. Concretely, we are looking for the following candidates: * Postdoc with experimental & neuroimaging background * Postdoc with computational modelling background More information about the positions can be found here: https://devcompsy.org/join-the-lab/ Interested candidates are encouraged to reach out to Tobias Hauser directly to informally discuss the positions. Best regards, Susan. ************************************************ Susan Fischer Coordinator Alexander von Humboldt Professorship Prof Peter Dayan & W3-Professorship ‘Computational Psychiatry’, Prof Tobias Hauser Eberhard Karls Universität Tübingen Equal Opportunities Officer Max Planck Institute for Biological Cybernetics Max-Planck-Ring 8 72076 Tübingen Germany ************************************************

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NSF-Simons NITMB Fellows: Now Accepting Applications
by William L. Kath Sept. 20, 2024

Sept. 20, 2024

<https://urldefense.com/v3/__https://jodrq9gbb.cc.rs6.net/tn.jsp?f=0015KxzjW…> <https://urldefense.com/v3/__https://jodrq9gbb.cc.rs6.net/tn.jsp?f=0015KxzjW…> NSF-Simons NITMB Fellows Program Applications due October 15, 2024 NITMB is seeking early-career researchers who have interest in transforming biological research and inspiring new mathematical discoveries. This opportunity is open to researchers who want to develop mathematical, theoretical, and computational approaches to study any area of biology. Under the mentorship of NSF-Simons NITMB leadership and faculty members, fellows will develop an independent research program and foster collaborations with NITMB faculty members or others outside the Institute. Applicants will need to have completed a doctoral degree by September 2025 in one of the following fields: * Mathematical Sciences * Biological Sciences * Computer Sciences * Engineering * or related fields Click here for the Submission Portal <https://urldefense.com/v3/__https://jodrq9gbb.cc.rs6.net/tn.jsp?f=0015KxzjW…> Benefits * Competitive salary * Generous research and travel stipends * Access to NITMB resources and both Northwestern and UChicago campuses * A thriving intellectual community with mentorship from NITMB leadership and Faculty Members * Offices located at the iconic John Hancock Center, 875 N Michigan Ave, in Chicago, Illinois * Guaranteed acceptance to NITMB workshops * No teaching obligations, allowing full dedication to groundbreaking research * Opportunities to lead and participate in NITMB activities and outreach programs Appointments can start as early as April 1, 2025, but no later than September 1, 2025, and will be at the internal University rank of Postdoctoral Scholar. The position is open to individuals who are less than seven years post attainment of their Ph.D. degree. Learn More <https://urldefense.com/v3/__https://jodrq9gbb.cc.rs6.net/tn.jsp?f=0015KxzjW…> Application Materials Upload the following documents to the submission portal. * Cover letter * Curriculum vitae * List of publications and preprints * Description of research interests to be pursued at the NITMB * Three Letters of Recommendation from faculty members or senior research scientists who are active in the field of study in question. Uploaded here. <https://urldefense.com/v3/__https://jodrq9gbb.cc.rs6.net/tn.jsp?f=0015KxzjW…> Required materials and letters of reference must be received by October 15, 2024. Expected Timeline * Applications due October 15, 2024 * Review Period | October 1 - 31, 2024 * Zoom Interviews | November 11 - 22, 2024 * Notice of Waitlist | week of November 11, 2024 * In-Person Interviews | December 9 - 13, 2024 * Notice of Waitlist | week of December 9, 2024 * Decisions | December 16 - 31, 2024 * Offers | January 6 - 10, 2025 <https://urldefense.com/v3/__https://jodrq9gbb.cc.rs6.net/tn.jsp?f=0015KxzjW…> <https://urldefense.com/v3/__https://jodrq9gbb.cc.rs6.net/tn.jsp?f=0015KxzjW…> <https://urldefense.com/v3/__https://jodrq9gbb.cc.rs6.net/tn.jsp?f=0015KxzjW…> <https://urldefense.com/v3/__https://jodrq9gbb.cc.rs6.net/tn.jsp?f=0015KxzjW…> The NSF-Simons National Institute for Theory and Mathematics in Biology (NITMB) aims to integrate the disciplines of mathematics and biology in order to transform the practice of biological research and inspire new mathematical discoveries. NITMB is a partnership between Northwestern University and the University of Chicago. It is funded by the National Science Foundation DMS-2235451 and the Simons Foundation MP-TMPS-00005320. LinkedIn <https://urldefense.com/v3/__https://jodrq9gbb.cc.rs6.net/tn.jsp?f=0015KxzjW…> X <https://urldefense.com/v3/__https://jodrq9gbb.cc.rs6.net/tn.jsp?f=0015KxzjW…> Instagram <https://urldefense.com/v3/__https://jodrq9gbb.cc.rs6.net/tn.jsp?f=0015KxzjW…> Facebook <https://urldefense.com/v3/__https://jodrq9gbb.cc.rs6.net/tn.jsp?f=0015KxzjW…> NITMB | 875 N Michigan Ave.Suite 4010 | Chicago, IL 60611 US Unsubscribe<https://urldefense.com/v3/__https://visitor.constantcontact.com/do?p=un&m=0…>| Update Profile <https://urldefense.com/v3/__https://visitor.constantcontact.com/do?p=oo&m=0…>| Constant Contact Data Notice <https://urldefense.com/v3/__http://www.constantcontact.com/legal/about-cons…>

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Mouse cortical neurophysiology postdoc position in Jaeger lab at Emory University
by Jaeger, Dieter Sept. 19, 2024

Sept. 19, 2024

The Jaeger lab at Emory University https://scholarblogs.emory.edu/jaegerlab/ is looking to recruit a postdoctoral fellow to work on our NIH funded project in studying the cell-type specific function of motor and premotor cortex in mice. The technical approaches will include mouse behavioral training and behavior analysis, optogenetics, Neuropixels recording, and voltage imaging. A specific objective is to compare normal and Parkinsonian cortical function. The successful candidates will have prior expertise in rodent neurophysiology and a strong background in data analysis. Emory University provides a vibrant and supportive environment for postdoctoral training including grant writing workshops and teaching opportunities, as well as strong training in movement disorders. The Atlanta location allows for affordable living conditions in a cosmopolitan setting with a world class airport. Compensation is dependent on prior experience and is aligned with the NIH NRSA schedule with additional health insurance and other benefits. If interested & qualified, please contact djaeger(a)emory.edu<mailto:djaeger@emory.edu>. Dieter Jaeger Professor, Department of Biology Emory University djaeger(a)emory.edu<mailto:djaeger@emory.edu> https://scholarblogs.emory.edu/jaegerlab/

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Fwd: CFP: FLAIRS38, Neural Network Special Track, Daytona Beach, FL, May 20-23
by David B Sept. 18, 2024

Sept. 18, 2024

*Neural Networks and Data Mining Special Track* <http://flairs-38.s3-website.us-east-2.amazonaws.com/> *at the * *38th International FLAIRS Conference* <https://www.flairs-38.info/home> Abstract submission deadline: January 20, 2025 Paper submission deadline: January 27, 2025 Paper Acceptance Notification: March 10, 2025 *Daytona Beach, Florida, USA, May 20-23, 2025Call for Papers* The Florida Artificial Intelligence Research Symposium (FLAIRS) is a medium-sized interdisciplinary AI conference which is noted for its double-blind reviewing, free tutorials, and beautiful venues. This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Papers and contributions are encouraged for any work related to neural networks, data mining, or the intersection thereof. Topics of interest may include (but are not limited to): Applications such as Pattern Recognition, Applications, Generative AI methods and applications, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Power Systems, Signal Processing; Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cybersecurity, remote sensing, earth sciences, bioinformatics, and astronomy. Neural networks such as new developments in Back Propagation, RBF, SVM, Deep Learning, Ensemble Methods, Kernel Approaches; Hybrid approaches such as Neural Networks/Genetic Algorithms, Causal Nets trained with Backpropagation, Neural Network/Fuzzy Logic and Acceleration of neural network models via software or hardware. Other modeling algorithms such as hidden Markov models, decision trees, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches; graph modeling, pattern discovery, and anomaly detection; feature extraction and selection; post-processing techniques such as visualization, summarization, or trending; preprocessing and data reduction;and knowledge engineering or warehousing. *Submission Guidelines* Papers must follow the FLAIRS template guidelines ( https://www.flairs-38.info/call-for-papers) and be submitted as a PDF through the EasyChair conference system. (Do NOT use a fake name for your EasyChair login; your EasyChair account information is hidden from reviewers.) FLAIRS will not accept any paper which, at the time of submission, is under review for or has already been published or accepted for publication in a journal or another conference. Authors are also required not to submit their papers else where during FLAIRS's review period. These restrictions apply only to journals and conferences, not to workshops and similar specialized presentations with a limited audience and without archival proceedings. Authors will be required to confirm that their submissions conform to these requirements at the time of submission. *Conference Proceedings* Papers will be refereed and all accepted papers will appear in the conference proceedings. *Track Co-chairs:* David Bisant, Central Security Svcs, bisant(a)umbc.edu Steven Gutstein, Booz Allen Hamilton, s.m.gutstein(a)gmail.com Lenin Mookiah, eBay, lenin.world(a)gmail.com *Program Committee Members:* Martin Atzmueller(University of Kassel, Germany) Juan Banda (Montana State University, USA) Lori Bogren (SomaLogic, USA) Chiranjit Dutta (eBay, USA) Sirisha Velampalli (Brane Enterprise, India) Tomasz Palczewski (SAP, USA) Sergei Dolenko (M.V.Lomonosov Moscow State University, Russian Federation) Sheikh Rabiul Islam (University of Hartford, USA) Lawrence Holder (Washington State University, USA) Diane Cook (Washington State University, USA) Jacek Kukluk (Dana-Farber/Harvard Cancer Center, USA) Katrina Kutchko (Verizon Business Solutions, USA) Roberto Santana (University of Basque Country, Spain) Hujun Yin (University of Manchester, UK) Prabin Lamichhane (Mastercard)

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Faculty positions in Theory, Computation, Data Science at WashU
by Tavoni, Gaia Sept. 18, 2024

Sept. 18, 2024

Cluster hire in Theory, Computation, and Data Science for Understanding Living Systems, Departments of Biology, Chemistry, and Physics, Washington University in St. Louis Washington University in St. Louis invites applications for tenure-track faculty positions at the rank of assistant or associate professor for a cluster hire in the area of theory, computation, and data science in the departments of Biology, Chemistry, and Physics. Life operates across a diversity of scales, from molecular-scale processes shaping cellular function to the delicate dynamic balance of our biosphere as a whole. System-level properties and processes are affected by interactions operating at all scales and between scales. Understanding these interconnected systems requires an interconnected and multidisciplinary research community. From AI-driven advances in protein structure and dynamics, to advanced imaging methods enabled by quantum sensing, to developing entirely new mathematical and computational frameworks to achieve insight from complex data, transformative advances in life sciences will require the synergistic work of scientists working across disciplinary boundaries. This cluster aims to create a hub of researchers using theoretical, computational, artificial intelligence, statistics, and data-science methods to advance life sciences from molecular to ecological scales. Applicants whose research synergizes with current areas of strength at Washington University will be favorably considered. Applicants whose research includes an experimental component but is primarily focused on developing theoretical, computational, and data-science methods will also be favorably considered. Candidates should have a Ph.D. in Biology, Chemistry, Physics, or a closely related field. Candidates for the rank of Associate Professor should have an outstanding academic record of research, publication, teaching, and service commensurate with tenure at this rank. Joint applications exhibiting a high degree of research synergy will be considered. Duties will include conducting research, teaching, advising students, and participating in departmental governance and university service. Diversity, equity, and inclusion are core values at Washington University, and we seek to create inclusive classrooms and environments in which a diverse array of students can learn and thrive. Applications should consist of a cover letter describing how the candidate’s research fits within the theme of the cluster; a detailed curriculum vitae; statements of research directions (3-5 pages), teaching interests (1 page), and contributions towards promoting an inclusive research culture or community at large (1 page); and contact information for at least three references. Applications should be submitted to https://apply.interfolio.com/152466 by Oct. 18, 2024 to receive full consideration. Washington University in St. Louis has a policy to recruit, hire, train, and promote persons in all job titles without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, national origin, protected veteran status, disability, or genetic information. *************************************************** Gaia Tavoni, PhD Assistant Professor of Neuroscience Washington University in St Louis ________________________________ The materials in this message are private and may contain Protected Healthcare Information or other information of a sensitive nature. If you are not the intended recipient, be advised that any unauthorized use, disclosure, copying or the taking of any action in reliance on the contents of this information is strictly prohibited. If you have received this email in error, please immediately notify the sender via telephone or return mail.

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COSYNE 2025: Call for Workshop Proposals; Abstract submission is open
by Tomas Hromadka Sept. 17, 2024

Sept. 17, 2024

==================================================== Computational and Systems Neuroscience 2025 (Cosyne) MAIN MEETING 27 March - 30 March 2025 Montreal, Canada WORKSHOPS 31 March - 01 April 2025 Mont-Tremblant, Canada www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission is now open. Workshop proposal submission is now open. Workshop proposal submission deadline: 04 October 2024 Abstract submission deadline: 23 October 2024 ---------------------------------------------------- COSYNE MEETING & WORKSHOPS ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ----------------------------------------------------- CALL FOR WORKSHOP PROPOSALS ----------------------------------------------------- A series of workshops will be held after the main Cosyne meeting. The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. Workshop proposals deadline: 04 October 2024 To submit your Cosyne 2025 Workshop Proposal, please visit Cosyne.org -> Workshops -> Call for Proposals The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. - There will be 6-10 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning and late afternoon sessions. - Workshops will be held in Mont-Tremblant, QC, Canada. - Workshop speakers do NOT receive free registration, travel expenses, or accommodation for either the main meeting or the workshop sessions. Organizers should let invited speakers know that they are expected to pay for workshop registration fees. Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers, submitting a final schedule for the workshop program, and moderating the discussion. Organizers can, but need not, be speakers. One complimentary (free) organizer registration is provided per workshop. For workshops with two organizers, the free registration can be given to one of the organizers or split evenly between them. Any required multimedia resources beyond a projector, screen, and microphones will be the responsibility of the workshop organizers to coordinate with Cosyne and the workshop venue A/V staff. EVALUATION CRITERIA As stated above, the goal of Cosyne workshops is to provide an interactive, informal forum for discussions. Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. Workshop proposals will be evaluated by the Cosyne Workshop Chairs, and a subset of the proposals will be selected. The proposals will be evaluated according to the following six metrics (which will be weighted equally): - Relevance to the Cosyne community - Integration of experimental and theoretical issues - Current interest in the topic in the scientific community - Potential for new research directions and interactions to emerge - Distinctive scope/approach compared to other workshops (including previous years’) - Diversity and equity in the proposed speaker (we are looking for representation of women or nonbinary individuals, individuals from other underrepresented groups, and a balance of established and early career researchers) In order to foster discussion within Workshops and reduce overlap between workshops, organizers should inform invited speakers that a speaker can take part in no more than two Workshops. The proposals will include: - Name(s) and email address(es) of the organizers (2 organizers per session is strongly recommended, but 3 will be allowed). - A title. - A brief description of 1) what the workshop will address and accomplish, 2) why the topic is of interest, 3) who is the targeted group of participants. - Names and email addresses of speakers, who should already have agreed to participate should the proposal be accepted. - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs two days, please explain why. - A brief resume of the workshop organizer(s) along with a short list of workshop-relevant publications (about half a page total). - A description of how you have addressed diversity and equity in your workshop. Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and to have plenty of breaks. We recommend keeping the number of talks small (i.e., fewer than 10 talks per day). WORKSHOP COSTS Detailed registration costs, etc, will be at www.cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. Organizers should let invited speakers know that they are expected to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complimentary (free) organizer registration is provided per workshop. For workshops with two organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE 2025 WORKSHOP CHAIRS Workshop Chairs: SueYeon Chung (NYU) and Guillaume Lajoie (MILA/U Montreal) COSYNE WORKSHOPS CONTACT workshops [at] cosyne.org ----------------------------------------------------- COSYNE 2025 COMMITTEES ----------------------------------------------------- ORGANIZING COMMITTEE General Chairs: Bing Brunton (U Washington) and Chandramouli Chandrasekaran (Boston U) Program Chairs: Tatiana Engel (CSHL) and Kevin Franks (Duke) Workshop Chairs: SueYeon Chung (NYU) and Guillaume Lajoie (MILA/U Montreal) Tutorial Chair: Talmo Pereira (Salk) DEIA Committee: Denise Cai (Mount Sinai) and Luke Sjulson (Albert Einstein) Undergraduate Travel Chairs: Kimberly Stachenfeld (DeepMind) and Marcelo Mattar (NYU) Fundraising Chair: Michael Long (NYU) Social Media Chair: Sabera Talukder (Caltech) Audio-Video Media Chair: Carlos Stein Brito (Chamaplimaud) Poster Design: Maja Bialon PROGRAM COMMITTEE Tatiana Engel (CSHL) Co-chair Kevin Franks (Duke) Co-chair Mikio Aoi (UCSD) Arkarup Banerjee (CSHL) Marcus Benna (UCSD) Adrian Bondy (Princeton) Timothy Buschman (Princeton) Celine Cammarata (Duke) Alex Cayco Gajic (Ecole Normale Superieure) Hannah Choi (Gatech) Benjamin Cowley (CSHL) Carina Curto (Brown) Brian DePasquale (Boston U) Sridhar Devarajan (Indian Inst Sci) Laura Driscoll (Stanford) Ann Duan (UCL) Lea Duncker (Stanford) Annegret Falkner (Princeton) Arseny Finkelstein (Tel Aviv U) Rainer Friedrich (Friedrich Miescher Institute) Juan Gallego (Imperial) Matthew Golub (U Washington) Bilal Haider (Georgia Tech) Kiah Hardcastle (Harvard) Ann Hermundstad (Janelia) Michele Insanally (U Pitt) Monika Jadi (Yale) Jonathan Kao (UCLA) Kohitij Kar (York U) Ann Kennedy (Northwestern) Guillaume Lajoie (MILA) Anna Levina (U Tubingen) Laura Lewis (MIT) Camilo Libedinsky (National U Singapore) Ashok Litwin-Kumar (Columbia) Laureline Logiaco (MIT) Emily Mace (Max Planck) Francesca Mastrogiuseppe (Champalimaud) Luca Mazzucato (U Oregon) Jorge Mejias (U Amsterdam) Jonathan Michaels (York U) Eilif Muller (U Montreal) James Murray (U Oregon) Hendrikje Nienborg (NIH) Gouki Okazawa (Chinese Acad Sci) Marino Pagan (UCL) Chethan Pandarinath (Emory) Angelique Paulk (Harvard) Hannah Payne (Columbia) Talmo Pereira (Salk) Erin Rich (Mount Sinai) Ben Scott (Boston U) Nicholas Steinmetz (U Washington) Carsen Stringer (HHMI) Marie Suver (Vanderbilt) Tatjana Tchumatchenko (U Bonn) John Tuthill (U Washington) Ali Weber (Bryn Mawr) Brady Weissbourd (MIT) Alex Williams (NYU) Klaus Wimmer (CRM) Brad Wyble (Penn State) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Anne-Marie Oswald (U Pittsburgh) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ----------------------------------------------------- COSYNE MAILING LISTS ----------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> About-> Mailing lists for details.

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workshop organized by the Neuroscience Gateway project on October 5th starting at 8:30am at the campus of University of Chicago
by Majumdar, Amitava Sept. 17, 2024

Sept. 17, 2024

We are organizing a workshop in Chicago on October 5th , 2024 starting at 8:30 am (Central time) and till 11:30am (Central time) at the campus of University of Chicago. The agenda is provided below. If you are interested in attending, please email Amit Majumdar (amajumdar(a)ucsd.edu) to receive the link to register. Registration is free but due to limited seatings, we are requesting registration and it will also provide the address of the location of the workshop. AGENDA (October 5th, 2024, University of Chicago) 8:30 AM - 8:45 AM Welcome 8:45 AM - 9:15 AM Title: Human Neocortical Neurosolver: A Software Tool for Cell and Circuit Level Interpretation of MEG/EEG signals Authors: Nicholas Tolley, Stephanie Jones Affiliation: Brown University Abstract: MEG/EEG signals are correlated with nearly all healthy and pathological brain functions. However, it is still extremely difficult to infer the underlying cellular and circuit level origins. This limits the translation of MEG/EEG signals into novel principles of information processing, or into new treatment modalities for pathologies. To address this limitation, we built the Human Neocortical Neurosolver (HNN): an open-source software tool to help researchers and clinicians without formal computational modeling or coding experience interpret the neural origin of their human MEG/EEG data. The foundation of HNN is a biophysically-detailed neocortical model, representing a patch of neocortex receiving thalamic and corticocortical drive. The HNN model can be accessed through a user-friendly interactive graphical user interface (GUI) or through a Python scripting interface. Tutorials are provided to teach users how to begin to study the cell and circuit level origin of sensory event related potentials (ERPs) and low frequency rhythms. The package is available to install with a single command on PyPI (pip install hnn_core), is unit tested and extensively documented. HNN is additionally accessible through computing resources offered by the Neuroscience Gateway (NSG) enabling large simulation workloads. We will give an overview of the background of HNN, describe the newest features added to the software, and highlight recent research projects using HNN. 9:15 AM - 9:45 AM Title: The NEMAR Neuromagnetic Data, Tools, and Compute Resource Authors: Scott Makeig1, Kenneth Yoshimoto2, Choonhan Youn2, Dung Troung1, Subhashini Sivagnanam2, Amitava Majumdar2, Arnaud Delorme1 Affiliation: 1Swartz Center for Computational Neuroscience, 2San Diego Supercomputer Center, University of California San Diego Abstract: The recent BRAIN Initiative, funded by the Obama administration, propelled the creation of archives of publicly and other funded scientific data of all types. For human functional neuroimaging, the OpenNeuro.org archive was funded to collect and publicly share data of all types. Its creator, Russ Poldrack, is an fMRI expert. For other imaging modalities, NIMH funded projects to curate data contributed to OpenNeuro. Our NEMAR.org serves that purpose for 'neuroelectromagnetic' data (EEG, MEG, iEEG). Beyond simple data curation, publication of data quality measures and data visualization, NEMAR exemplifies what I believe should become the basic unit of open science, what I call the 'integrated data, tools, and compute resource' (datcor). By teaming with the Neuroscience Gateway team, NEMAR now supports users worldwide in identifying and performing sophisticated computations on increasing amounts of publicly available data - without need for at-best balky data downloads. 9:45 AM - 10:15AM Title: DANDI: Building a collaborative ecosystem for neuroscientific data Authors: Satrajit Ghosh Affiliation: McGovern Institute, MIT Abstract: The DANDI Archive is a community-oriented platform designed to support the sharing, analysis, and re-use of neurophysiology and microscopy data, using the BRAIN Initiative supported standards for data sharing. By providing an open, FAIR-compliant (Findable, Accessible, Interoperable, Reusable) ecosystem, DANDI facilitates collaborative research in neuroscience. It integrates diverse data types, from electrophysiology to imaging, ensuring that researchers can contribute, discover, access, visualize, and compute on standardized datasets seamlessly. This presentation will highlight the key features of DANDI, including its data management infrastructure, open-source tools, and how it promotes transparency, reproducibility, and interdisciplinary collaboration in neuroscience research. 10:15 AM - 10:30 AM BREAK 10:30 AM - 11:00 AM Title: Enhancing Perspectives in Neuroscience Research through Diverse Institutional Partnerships. Author: Elba Serrano Affiliation: New Mexico State University Abstract: Diversity in collaboration is expected to yield more inclusive and representative research outcomes and potentially address more varied needs within a field. By pooling knowledge and resources from different disciplines, institutions, and investigators, researchers can approach problems in neuroscience from multiple angles, leading to more comprehensive and innovative solutions. The nation's 700+ federally designated minority serving institutions (MSIs) comprise about 15% of all degree-granting institutions and educate over 5 million students. This presentation will introduce attendees to the rich constellation of MSIs with a spotlight on Hispanic serving institutions (HSIs), where 65% of the nation's Latino students seek degrees. Drawing on experiences as lead for the NSF HSI National STEM Resource Hub, the speaker will provide an overview of the benefits and challenges in developing collaborations with colleagues at MSIs, as well as strategies for identifying partners and developing authentic relationships that further neuroscience research. 11:00 AM - 11:30 AM Title: Bio-realistic modeling of the mouse primary visual cortex using large-scale datasets Authors: Shinya Ito1, Darrell Haufler1, Kael Dai1, Joe Aman1, Javier Galván Frail2, Guozhang Chen3, Claudio Mirasso2, Wolfgang Maass4, Anton Arkhipov1 Affiliation: 1. Allen Institute, Seattle, Washington, USA 2. IFISC, University deles Illes Balears, Palma de Mallorca, Spain 3. Peking University, Beijing, China 4. Graz University of Technology, Graz, Austria Abstract: Accurate models of cortical circuits facilitate a deeper understanding of how neural dynamics are shaped and maintained within the brain. We have developed an enhanced, biologically realistic model of the mouse primary visual cortex (V1), building on the framework established by Billeh et al. (Neuron, 2020). This updated model integrates new synaptic physiology data from Campagnola, Seeman et al. (Science, 2022; portal.brain-map.org/connectivity/synaptic-physiology) and detailed connectomics from the IARPA MICrONS dataset (www.microns-explorer.org) refining its connectivity and synaptic dynamics. The resulting model exhibits stable activity patterns before optimization. Moreover, we utilized TensorFlow-based optimization techniques to align model parameters with physiological data, including Neuropixels recordings, achieving key empirical targets such as firing rates and orientation selectivity. This improved model not only enhances our understanding of cortical processing but will also be made publicly available to support further research. ---------------------------------------------------------------------------------------------------- Organizers: Amit Majumdar, Subhashini Sivagnanam, Kenneth Yoshimoto San Diego Supercomputer Center, University of California San Diego Ted Carnevale, Neuroscience Department, Yale School of Medicine, Yale University Co-organizers: Kimberly Grasch and H. Birali Runesha, University of Chicago -----------------------------------------------------------------------------------------------------

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Workshop "Data-Driven Discovery: AI and Modeling in Biology" at the Allen Institute
by Anton Arkhipov Sept. 17, 2024

Sept. 17, 2024

Dear Colleagues, We will be livestreaming the upcoming workshop "Data-Driven Discovery: AI and Modeling in Biology" organized by Anton Arkhipov (Allen Institute), Tatiana Engel (Princeton), Michael Brenner (Harvard/Google), and Stephen Saalfeld (Janelia). Hosted by the Allen Institute on September 23-25, 2024, the meeting brings together experts who will discuss how problems in biology are being solved using recent developments in both AI and modeling. Please see the streaming link at the meeting website: https://alleninstitute.org/events/data-driven-discovery-ai-and-modeling-in-… The goal of this meeting is to explore how problems in biology are being solved using cutting-edge computational approaches, with the focus on recent developments in both AI and modeling, including merging the two. Biology is a broad field. We aim to connect researchers across a wide range of computational biology to learn from each others’ approaches. Agenda is below (all times listed as Pacific Standard Time). ================================================== Monday, September 23, 2024 2:00–2:15pm Welcome and opening remarks 2:15–3:15pm KEYNOTE- David Baker, University of Washington Protein design for molecular recognition 3:15–3:45pm Bing Brunton, University of Washington Embodied intelligence through integrated neuromechanical models of natural behavior 3:45–4:15pm Andreas Tolias, Stanford University NeuroAI: Building Digital Twins of the Brain Tuesday, September 24, 2024 9:00–9:30am Matheus Viana, Allen Institute for Cell Science Towards a holistic and quantitative stem cell state landscape 9:30–10:00am Kim Stachenfeld, Columbia University/Google DeepMind Learning to Simulate and Control Fluid Dynamics with Graph Neural Networks 10:00–10:30am Armita Nourmohammad, University of Washington Learning the shape of the protein and immune universe 10:30-11:00am Break 11:00–11:30am Mariano Gabitto, Allen Institute for Brain Science Deep generative models for the multimodal analysis of single-cell datasets 11:30–12:00pm Roy Kishony, Technion-Israel Institute of Technology AI driven science 12:00–12:30pm Stefan Mihalas, Allen Institute Why is the activity in the brain so variable? 12:30-2:00pm Break 2:00–2:30pm Michael Elowitz, California Institute of Technology Many-to-many protein networks as flexible computational modules Wednesday, September 25, 2024 9:00–10:00am KEYNOTE- Emily Fox, Stanford University, insitro Machine Learning for Better Medicines 10:00–10:30am Xiaojun Li, Allen Institute for Immunology Application of AI in Immunology Research 10:30-11:00am Break 11:00–11:30am Gokul Upadhyayula, University of California Berkeley Navigating challenges and opportunities with high-resolution in vivo imaging 11:30–12:00pm Laura Driscoll, Allen Institute for Neural Dynamics Fast and slow learning in artificial and biological networks 12:00–12:30pm Eric Shea-Brown, University of Washington Assigning credit through the "other” connectome 12:30-2:00pm Break 2:00–2:30pm Viren Jain, Google Simulating a zebrafish brain with functional connectomics and AI 2:30–3:00pm Kristin Branson - Janelia Research Campus, Howard Hughes Medical Institute What can we learn from deep-learning-based forecasting models of biological time series? 3:00–3:30pm Ben Cowley, Cold Spring Harbor Laboratory Mapping model units to visual neurons reveals population code for social behavior ================================================== Best regards, Anton Arkhipov Investigator, Allen Institute

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Free hybrid workshop: Linking brain structure & function at the nanoscale
by Audrey Denizot Sept. 16, 2024

Sept. 16, 2024

Dear all, The [ https://team.inria.fr/aistrosight/ | AIstroSight team ] from Inria Lyon, France, is organizing a hybrid workshop on September 26th-27th 2024 entitled "Linking brain structure & function at the nanoscale: an interdisciplinary workshop". This interdisciplinary workshop aims to bring together experts from diverse fields who contribute to improving our understanding of the nanoscale landscape of the nervous system and its impact on brain function, from volume electron microscopy to image analysis, machine learning, deep learning, and computational modeling. Registration is open until September 24th, free but mandatory following [ https://club-de-cellules-gliales.assoconnect.com/collect/description/450527… | this link ] . More information can be found on the workshop website: [ https://adenizot.github.io/workshops/ | https://adenizot.github.io/workshops/ ] Invited speakers: - Carles Bosch, The Francis Crick Institute, England - Corrado Cali, Neuroscience Institute Cavalieri Ottolenghi, Italy - Michael Chirillo, University of Texas, USA - Audrey Denizot, Inria, France - Erik De Schutter, Okinawa Institute of Science and Technology, Japan - Christel Genoud, Université de Lausanne, Switzerland - Daniel Keller, Ecole Polytechnique Fédérale de Lausanne, Switzerland - Constantin Pape, University of Göttingen, Germany - Karin Pernet-Gallay, Université Grenoble Alpes, France - Padmini Rangamani, University of California San Diego, USA - Chris Salmon, McGill University, Canada Best wishes, Audrey Denizot -- Audrey Denizot ------------------------------ PhD, Inria research scientist — — Project-Team AIstroSight — — [ https://team.inria.fr/aistrosight | https://team.inria.fr/aistrosight ] — — — Centre INRIA de Lyon — — — Campus La Doua Bâtiment CEI-2 56, Boulevard Niels Bohr - CS 52132 69603 Villeurbanne - France [ mailto:audrey.denizot@inria.fr | audrey.denizot(a)inria.fr ] | [ https://adenizot.github.io/ | Website ] | [ https://www.linkedin.com/in/audrey-denizot-180684201/ | LinkedIn ] | [ https://twitter.com/ADenizot | Twitter ]

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PhD and postdoc positions in the Zenke Lab at the FMI, Basel, Switzerland.
by Friedemann Zenke Sept. 16, 2024

Sept. 16, 2024

We are looking for new team members! Please consider applying if you want to build models of how the brain learns and simulates a world model. We have several openings at PhD and postdoc levels, including a collaboration with the Keller Lab at the FMI on designing regulatory elements to target distinct neuronal cell types. For more information and example projects, see http://zenkelab.org/jobs Kind regards, Friedemann

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Human Neocortical Neurosolver (HNN) Workshop at SFN
by Gao, Joyce Sept. 13, 2024

Sept. 13, 2024

Dear all, We invite you to join us at SFN 2024 for a hands-on Human Neocortical Neurosolver (HNN) Workshop! HNN is a user-friendly software tool for interpreting the cell and circuit level origin of human MEG and EEG signals (Neymotin et al 2020, https://hnn.brown.edu) You can find out more about HNN and register here: https://hnn.brown.edu/workshop-registration/. Seats are limited, so if you are interested, we recommend signing up today! Our best, Jones Computational Neuroscience Lab Brown University, Carney Institute for Brain Science

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Research Assistant Position in Developmental Cognitive Neuroscience at American University, Washington DC
by Laurie Bayet Sept. 12, 2024

Sept. 12, 2024

*Research Assistant Position in Developmental Cognitive Neuroscience at American University, Washington DC* The Developmental Cognitive Neuroscience Laboratory at American University, located in Washington DC and directed by Dr. Laurie Bayet ( https://www.bayetlab.com/) is currently accepting applications for a full-time, benefits-eligible Research Assistant position to assist on NSF and foundation-funded funded projects investigating infant visual cognition and social communication (e.g., NSF award # 2122961 <https://www.nsf.gov/awardsearch/showAward?AWD_ID=2122961>). The lab uses electro-encephalography (EEG), functional near-infrared spectroscopy (fNIRS), behavioral measures, and machine learning. The position is ideal for an individual seeking to deepen their research experience in preparation for graduate study. *Applicants should apply electronically at https://american.wd1.myworkdayjobs.com/AU/job/Main-Campus-Washington-DC/Res… <https://american.wd1.myworkdayjobs.com/AU/job/Main-Campus-Washington-DC/Res…> and submit a CV and cover letter listing the names and contact information of 2-3 references.* Review of applications will begin immediately and continue until the position is filled. Prospective applicants may email Dr. Bayet ( bayet(a)american.edu) with any questions. Apologies for cross-posting! *Essential Functions* - *Data Management:* Assisting with data collection in adherence with study protocols, such as: informed consent, EEG, fNIRS, and/or eye-tracking measurements, transferring research data files to the lab server. - *Participant Recruitment and Support:* Outreach, recruitment, and communication with families who participate in the research, such as: designing and implementing outreach/recruitment materials, assessing study eligibility, scheduling study visits, maintaining contact with participating families. - *Data Entry and Processing:* Conduct data entry, data pre-processing, video coding, and data management, in adherence with study protocols. - *Personnel:* Onboarding and supervision of undergraduate research assistants. - *Study General Support:* Assisting with designing and implementing experimental procedures, such as: creating and validating stimuli, surveys, and/or paradigms; monitoring materials and supplies. - *Compliance:* Develop and monitor IRB protocols for approval, modification, or renewal. - *Other duties as assigned by supervisor.* Opportunity to contribute to conference presentations and/or manuscript writing, if desired. Position Type/Expected Hours of Work: The initial position is for 1-year and is renewable contingent upon continued funding, a 6-month probationary period, and successful completion of duties. *Required Education and Experience:* - High school diploma or equivalent required. - 1-3 years' relevant experience, such as undergraduate research experience, is required. - Demonstrated interest in developmental psychology, cognitive science, and/or cognitive neuroscience required, such as from undergraduate coursework or research experience. - Excellent organizational and project management skills are required, including initiative, self-motivation, rigor, attention to details, ability to work independently on multiple tasks, ability to learn new skills in a fast-paced environment, and ability to meet deadlines. - Excellent communication and interpersonal skills are required, including comfort interacting professionally with families, infants, and undergraduate students, and ability to work effectively with people from diverse backgrounds. - Prior experience in developmental research (e.g., with infants/children) and/or human neuroimaging research (e.g., EEG, MEG, fNIRS) which may include undergraduate research experience (strongly preferred, but not strictly required if has some other relevant research experience). - Flexibility to adapt to changing hours, such as the ability to run study visits with families during weekends, or occasionally during the evening, is required. *Preferred Education and Experience:* - Bachelor's degree in Psychology or Neuroscience or closely related field preferred. - Computational skills and programming experience in Matlab, R, and/or Python preferred, but not strictly required. - Relevant experience with neuroscience/psychology research tools (e.g., NetStation, Psychtoolbox, Datavyu, Children Helping Science, EEGLAB, Homer, BIDS), data analysis, data processing, manuscript preparation, and/or social media or community outreach a plus. - The ability to start in or before January 2025 and the intention to make a 2-years commitment is strongly preferred. *Additional information:* The Developmental Cognitive Neuroscience Laboratory is part of the Neuroscience Department <https://www.american.edu/cas/neuroscience/> and the Center for Neuroscience and Behavior <https://www.american.edu/cas/center-neuroscience/> at American University. American University provides a stimulating intellectual environment, just 2 miles from downtown Washington DC. DC offers a vibrant research community, and American University enjoys proximity to other notable research institutions such as the National Institutes of Health. With extensive public transit, an exciting cultural and restaurant scene, many museums and public parks, and proximity to other green spaces in the surrounding region (e.g., Appalachian trail, Shenandoah National Park), Washington DC consistently ranks amongst the top US metropolitan areas for quality of life. *Benefits* AU offers a competitive benefits package including a 200% matching retirement plan, tuition benefits for full-time staff and their families, several leadership development certificates, and has been recognized by the American Heart Association as a fit-friendly worksite. Click here to learn about American University's unique benefit options <https://secure-web.cisco.com/1xOwxDSlkRlXlYPPZYWq0QpcjQRmrUewLamlS2mE8G0X9U…> . *Other Details* - Hiring offers for this position are contingent on successful completion of a background check. - Employees in staff positions at American University must deliver their services to the university from either the District of Columbia, Maryland, or Virginia, or perform work on-site at the university. - Please note this job announcement is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. - American University is an E-Verify <https://secure-web.cisco.com/1XvV9ls4UAniSQMlhDR3Q7UDPXIx7GKNSsIF67po-xqKDS…> employer *Contact Us* For more information or assistance with the American University careers site, email theworkline(a)american.edu. *American University is an equal opportunity, affirmative action institution that operates in compliance with applicable laws and regulations. The university does not discriminate on the basis of race, color, national origin, religion, sex (including pregnancy), age, sexual orientation, disability, marital status, personal appearance, gender identity and expression, family responsibilities, political affiliation, source of income, veteran status, an individual’s genetic information or any other bases under federal or local laws (collectively "Protected Bases") in its programs and activities.*

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UK PhD studentship opportunity
by Goodfellow, Marc Sept. 12, 2024

Sept. 12, 2024

The University of Exeter, UK, is offering an EPSRC-funded PhD studentship in Neuroscience and Artificial Intelligence. This project is open to students with a background in Mathematics, Physics, Computer Sciences, or Natural Sciences, and an interest in Neuroscience. The successful candidate will use recent Neuroscience findings to make Deep Networks learn more sustainably, generalise better, be more resistant to injuries, and be more explainable. For information on the studentship and how to apply, please visit https://www.exeter.ac.uk/study/funding/award/?id=5228. The application deadline is midday on Friday 4th October 2024. For more information on this project see https://www.exeter.ac.uk/v8media/recruitmentsites/documents/Improving_Artif… ence_through_Neuroscience_(Dr_Joel_Tabak).pdf<https://www.exeter.ac.uk/v8media/recruitmentsites/documents/Improving_Artif…>

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Postdoc / PhD student for 3 years -- How to be flexible – organizing and optimizing task-dependent information processing in the visual system
by David Rotermund Sept. 11, 2024

Sept. 11, 2024

The Computational Neurophysics lab at the University of Bremenheaded by Dr. Udo Ernst offers at the earliest date possible: *Postdoc / PhD student in Computational Neuroscience **for 3 years* In this project we want to study organization and optimization of flexible information processing in neural networks, with specific focus on the visual system. You will use network modelling,numerical simulation, and mathematical analysis to investigate fundamental aspects of flexible computation such as task-dependent coordination of multiple brain areas for efficient information processing, as well as the emergence of flexible circuits originating from learning schemes which simultaneously optimize for function and flexibility. These studies will be complemented by biophysically realistic modelling and data analysis in collaboration with experimental work. Here we will investigate selective attention as a central aspect of flexibility in the visual system, involving task-dependent coordination of multiple visual areas. ============ = Official text = ============ The Computational Neurophysics lab at the University of Bremenheaded by Dr. Udo Ernst offers at the earliest date possible: *Research Assistant / Postdoc in Computational Neuroscience (f/m/d)* German federal pay scale EG13 TV-L (100 %) *limited for 3 years*(according to § 2 WissZeitVG) *How to be flexible – organizing and optimizing task-dependent information processing in the visual system* In this project we want to study organization and optimization of flexible information processing in neural networks, with specific focus on the visual system. You will use * network modelling, * numerical simulation, * and mathematical analysis to investigate fundamental aspects of flexible computation such as task-dependent coordination of multiple brain areas for efficient information processing, as well as the emergence of flexible circuits originating from learning schemes which simultaneously optimize for function and flexibility. These studies will be complemented by biophysically realistic modelling and data analysis in collaboration with experimental work done in the lab of Prof. Dr. Andreas Kreiter, also at the University of Bremen. Here we will investigate selective attention as a central aspect of flexibility in the visual system, involving task-dependent coordination of multiple visual areas. * * *Requirements**:* Ideal candidates will have a completed academic university degree (Master’s/University Diploma) in computational neuroscience, physics, computer science or related fields. A doctorate in this field would be a positive addition to the application. There is the possibility of further qualification. Applicants must have a strong background in neural networks, dynamical systems, mathematics and/or data analysis, and experience in programming (we use Python in our lab). Above all, you must be highly motivated, responsible, have a strong desire to learn and be able to work proactively in an international research environment. Fluency in English (both written and spoken) is required. The Computational Neurophysics Lab offers a good working atmosphere, direct involvement in international research and attractive facilities. You will have the opportunity to link your research to a wide range of other topics being studied in our lab, such as collective dynamics in neural systems, information processing in deep spiking networks, and the development of visual cortex prostheses. *General hints:* Open to unconventional approaches in research and teaching, the University of Bremen has retained its character as a place of short distances for people and ideas since its founding in 1971. With a broad range of subjects, we combine exceptional performance and innovative potential. As an ambitious research university, we stand for research-based learning approaches and a pronounced interdisciplinary orientation. We actively pursue international scientific cooperation in a spirit of global partnership. Today, around 23,000 people learn, teach, research and work on our international campus. In research and teaching, administration and operations, we are firmly committed to the goals of sustainability, climate justice and climate neutrality. Our Bremen spirit is expressed in the courage to dare new things, in supportive cooperation, in respect and appreciation for each other. With our study and research profile and as part of the European YUFE network, we assume social responsibility in the region, in Europe and in the world. The University of Bremen is family-friendly, diverse and sees itself as an international university. We therefore welcome all applicants regardless of gender, nationality, ethnic and social origin, religion/belief, disability, age, sexual orientation and identity. As the University of Bremen intends to increase the proportion of female employees in science, women are particularly encouraged to apply. Disabled applicants will be given priority if their professional and personal qualifications are essentially the same. For questions of the research project please contact: Dr. Udo Ernst, E-Mail: _udo(a)neuro.uni-bremen.de_ For general information on this topic, see also: _https://www.uni-bremen.de/ernstlab <https://www.uni-bremen.de/ernstlab>_ _Detailed instructions for applicants_ Your application must comprise: *Motivation letter* Your 1–2-page essay should address the following questions: * What is your background? What areas have you worked in previously, and how do you think this will help you in this role? * What attracts you to computational neuroscience? * What computational neuroscience problem(s) are you most interested in? * What is your motivation for joining our project? * What are your plans for your future career? * When will you definitely be able to begin? *Curriculum Vitae* Send a tabular CV with your contact details, and all stages of education and employment. * * *List of skills, awards, publications* List your skills, especially language skills (including level of proficiency), that you think might be useful for the job. Also list any awards you have received and any peer-reviewed publications, if you have any. * * *Contact details of two academic references* One of the referees should be your PhD and/or MSc supervisor. Please inform your referees before listing their names so that they are not surprised when we contact them. You can apply in English or German, whichever language you are more comfortable with. Please explicitly address each of the specified requirements in your application (see detailed instructions below), and send your application documents until *07.10.2024*by indicating the *job id A007-24 to* Universität Bremen Institut für Theoretische Physik Frau Agnes Janssen Hochschulring 18 D-28359 Bremen or as one PDF file by unencrypted electronic mail to: _ajanssen(a)neuro.uni-bremen.de <mailto:ajanssen@neuro.uni-bremen.de>_. We kindly ask you to send us only copies (no portfolios) of your application documents, as we cannot return them. They will be destroyed after the selection process has been completed. Please note that incomplete applications will not be considered.

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Postdoc positions in cogneuro and neuroengineering
by Ivan Alekseichuk Sept. 11, 2024

Sept. 11, 2024

The Precision Neuromodulation Lab at Northwestern University in Chicago is actively recruiting. We develop and experimentally apply closed-loop brain stimulation and electroencephalography (EEG) for human mood regulation, decision-making, and memory research. The leading methods in the lab include transcranial magnetic stimulation (TMS) with Neuronavigation and Robotic Guidance, Electroencephalography (EEG), Magnetic Resonance Imaging (MRI), Transcranial Alternating Current Stimulation (tACS), Finite Element Analysis (FEA) of brain stimulation, and Computational Cognitive Testing and Modeling. The candidate will be expected to build a consistent publication record, contribute to applications for extramural funding, collaborate with other team members and outside groups, attend national meetings, and effectively communicate research findings. We offer a highly interdisciplinary environment, tailored mentoring, and extensive support for career development, ensuring that you can grow and succeed in your field. There are plenty of on-site and national opportunities for collaborations with clinical neuroscience and biomedical engineering groups, formal and informal training, and access to research-dedicated MRI scanners, computational servers, and human phenotyping resources. Lear more about the positions, requirements, and benefits on our website: https://sites.northwestern.edu/neuromodlab/join-us/

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Six faculty positions in Neuroscience
by Robert Rosenbaum Sept. 10, 2024

Sept. 10, 2024

The University of Notre Dame is hiring 6 new faculty members in Neuroscience starting this year: 5 Assistant Professors: https://apply.interfolio.com/152596 1 endowed Full Professor: https://apply.interfolio.com/152854 Please share these links and retweet Candidates should have expertise in cellular neurobiology, molecular neurobiology, or computational neurobiology. Candidates can be hired into one of three departments: Biology, Chemistry, or AppliedMath/Stats See the linked ads for more information. — Robert Rosenbaum Associate Professor and Director of Graduate Studies Department of Applied and Computational Mathematics and Statistics University of Notre Dame

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COSYNE 2025: Meeting announcement; Call for Abstracts
by Tomas Hromadka Sept. 10, 2024

Sept. 10, 2024

==================================================== Computational and Systems Neuroscience 2025 (Cosyne) MAIN MEETING 27 March - 30 March 2025 Montreal, Canada WORKSHOPS 31 March - 01 April 2025 Mont-Tremblant, Canada www.cosyne.org ==================================================== ---------------------------------------------------- MEETING ANNOUNCEMENT ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. All abstract submissions will be reviewed double blind. The deadline for Abstract submission will be 23 October 2024. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. IMPORTANT DATES Abstract submission opens: 05 September 2024 Abstract submission deadline: 23 October 2024 When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ORGANIZING COMMITTEE General Chairs: Bing Brunton (U Washington) and Chandramouli Chandrasekaran (Boston U) Program Chairs: Tatiana Engel (CSHL) and Kevin Franks (Duke) Workshop Chairs: SueYeon Chung (NYU) and Guillaume Lajoie (MILA/U Montreal) Tutorial Chair: Talmo Pereira (Salk) DEIA Committee: Denise Cai (Mount Sinai) and Luke Sjulson (Albert Einstein) Undergraduate Travel Chairs: Kimberly Stachenfeld (DeepMind) and Marcelo Mattar (NYU) Fundraising Chair: Michael Long (NYU) Social Media Chair: Sabera Talukder (Caltech) Audio-Video Media Chair: Carlos Stein Brito (Chamaplimaud) Poster Design: Maja Bialon PROGRAM COMMITTEE Tatiana Engel (CSHL) Co-chair Kevin Franks (Duke) Co-chair Mikio Aoi (UCSD) Arkarup Banerjee (CSHL) Marcus Benna (UCSD) Adrian Bondy (Princeton) Timothy Buschman (Princeton) Celine Cammarata (Duke) Alex Cayco Gajic (Ecole Normale Superieure) Hannah Choi (Gatech) Benjamin Cowley (CSHL) Carina Curto (Brown) Brian DePasquale (Boston U) Sridhar Devarajan (Indian Inst Sci) Laura Driscoll (Stanford) Ann Duan (UCL) Lea Duncker (Stanford) Annegret Falkner (Princeton) Arseny Finkelstein (Tel Aviv U) Rainer Friedrich (Friedrich Miescher Institute) Juan Gallego (Imperial) Matthew Golub (U Washington) Bilal Haider (Georgia Tech) Kiah Hardcastle (Harvard) Ann Hermundstad (Janelia) Michele Insanally (U Pitt) Monika Jadi (Yale) Jonathan Kao (UCLA) Kohitij Kar (York U) Ann Kennedy (Northwestern) Guillaume Lajoie (MILA) Anna Levina (U Tubingen) Laura Lewis (MIT) Camilo Libedinsky (National U Singapore) Ashok Litwin-Kumar (Columbia) Laureline Logiaco (MIT) Emily Mace (Max Planck) Francesca Mastrogiuseppe (Champalimaud) Luca Mazzucato (U Oregon) Jorge Mejias (U Amsterdam) Jonathan Michaels (York U) Eilif Muller (U Montreal) James Murray (U Oregon) Hendrikje Nienborg (NIH) Gouki Okazawa (Chinese Acad Sci) Marino Pagan (UCL) Chethan Pandarinath (Emory) Angelique Paulk (Harvard) Hannah Payne (Columbia) Talmo Pereira (Salk) Erin Rich (Mount Sinai) Ben Scott (Boston U) Nicholas Steinmetz (U Washington) Carsen Stringer (HHMI) Marie Suver (Vanderbilt) Tatjana Tchumatchenko (U Bonn) John Tuthill (U Washington) Ali Weber (Bryn Mawr) Brady Weissbourd (MIT) Alex Williams (NYU) Klaus Wimmer (CRM) Brad Wyble (Penn State) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Anne-Marie Oswald (U Pittsburgh) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ----------------------------------------------------- COSYNE MAILING LISTS ----------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> About-> Mailing lists for details.

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AE Autumn Summit on Open Problems for AI. Kings X, London, Oct 23-24th.
by Ruairidh Battleday Sept. 10, 2024

Sept. 10, 2024

AE Autumn Summit on Open Problems for AI. Kings X, London, Oct 23-24th. What are the next set of challenges for AI algorithms? What are the open problems in application? Join the UK’s leading AI researchers, policy makers, and entrepreneurs in this global summit: www.algopreneurship.org This should be an exciting and productive event, and we expect 1000 participants at student, early stage, and full career levels. -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking (www.thinkingaboutthinking.org) Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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PhD positions in Cognitive and Behavioral Neuroscience at University of Miami
by Mingbo Cai Sept. 9, 2024

Sept. 9, 2024

The Cognitive and Behavioral Neuroscience Division at Department of Psychology, University of Miami seeks highly motivated and creative Ph.D. students in our efforts to understand the brain and mind. Applications for entry in the Fall of 2025 are now being accepted, with a deadline of December 1st. For details, including contact information, please visit https://www.psy.miami.edu/graduate/how-to-apply/index.html . The Cognitive and Behavioral Neuroscience Division at Department of Psychology, University of Miami offers a unique program of study spanning neurobiology, behavior, computational and brain imaging research on topics of emotion, mindfulness, learning and memory, mental disorders and health. A listing of faculty affiliated with the division can be found online at https://www.psy.miami.edu/research/faculty-research/index.html and below. Jennifer C. Britton <https://brain.psy.miami.edu/> (not accepting student this year) – Anxiety, development, executive function (e.g., flexibility), emotion, empathy; behavior, virtual reality, psychophyisology, neuroimaging Mingbo Cai <https://cailab-miami.org/> – spontaneous thought, reinforcement learning, computational modeling, neuroimaging, brain-inspired AI Ekaterina Denkova <https://people.miami.edu/profile/989e514be315c437465ce8e9b92f960f> - cognitive and affective processes, mindfulness training, memory and thoughts Aaron Heller <http://manateelab.org/> – neuroimaging, experience sampling, computational modeling, emotion, depression, anxiety Amishi Jha <https://lab.amishi.com/> – mindfulness training, attention, neuroimaging, EEG Philip M. McCabe <https://people.miami.edu/profile/5f78023c1f199263e7ac9607aa811e1a> (not accepting student this year) – neurobiology, emotion, atherosclerosis, animal models Roger C. McIntosh <https://breath-lab.psy.miami.edu/index.html> – aging, stress reactivity, inflammation, neuroimaging Jacob Miller <https://www.jacobmillerneuro.com/> (incoming in January 2025) – working memory, prefrontal cortex function, neuroimaging, functional neuroanatomy, computational modeling An information session of the department will be held on Wednesday, September 18th, 5-6 PM ET. Interested applicants may register at: https://miami.zoom.us/meeting/register/tJ0sfuytrjMqG9BlxLEoPa0YRiHSDzeVZRLU… [image: image.png] Mingbo Cai

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[Registration for Attendance | Program]: 3rd International Conference on the Ethics of Artificial Intelligence (3ICEAI)
by steven gouveia Sept. 7, 2024

Sept. 7, 2024

[Registration for Attendance] 3rd International Conference on the Ethics of Artificial Intelligence (3ICEAI) University of Azores, Ponta Delgada, São Miguel Island, Azores 19-25 September 2024 (19-20 Online, 23-25 In-Person) About: The 3rd International Conference on the Ethics of Artificial Intelligence (3ICEAI) focuses on the intricate moral and societal questions posed by AI technologies. This conference aims to dissect the ethical challenges inherent in AI, such as decision-making processes, biases, privacy concerns, and the broader implications for human rights and social justice. As AI continues to permeate various facets of our daily lives, it becomes imperative to address these ethical dimensions thoughtfully and proactively. Ethical AI development necessitates ensuring fairness, transparency, and accountability within algorithms and systems. Our goal is to bring together a diverse group of experts, researchers, practitioners, and policymakers to foster an in-depth and informed exploration of these ethical issues with the aim of promoting responsible and fair AI practices. The third edition of this conference will be organized into two distinct segments. The first segment, scheduled for September 19-20, 2024, will be conducted exclusively online, featuring virtual presentations. The second segment, taking place from September 23-25, 2024, will consist solely of in-person sessions. ETHICS OF AI AWARD 2024 (in-person talks only): The Winner of the Ethics of AI Award 2024 is Dr. Jordan Wadden (Unity Health Toronto, Canada). Dr. Wadden will present the Ethics of AI Award Talk “Naming and Diffusing the Understanding Objection in Healthcare Artificial Intelligence”. The community is invited to register for ATTENDANCE until September 18th, 2024. Full program is available here: ivory-meggi-90.tiiny.site KEYNOTES SPEAKERS: * Pekka Mäkelä is an is a Research Coordinator in the Helsinki Institute for Social Sciences and Humanities (HSSH) at the University of Helsinki and the co-leader of the RADAR Group. * Ariane Hanemaayer is an Associate Professor at Brandon University, Canada, in the departments of Sociology and Gender and Women's Studies, and Affiliate Scholar at the Max Planck Institute for the History of Science. * Raul Hakli is a university researcher in practical philosophy and co-leader of the RADAR group. * Eleanor Drage is a Senior Research Fellow at the University of Cambridge Leverhulme Centre for the Future of Intelligence. * Hasse Hämäläinen is AI Scientist at Mehiläinen, holding a PhD in Philosophy in Philosophy from the University of Edinburgh. * Veridiana Cordeiro is a sociologist, a Professor at the Department of Sociology at the University of São Paulo, and a research fellow at the Center for Artificial Intelligence (IBM-Sao Paulo Research Foundation). * ATTENDANCE REGISTRATION: * Online Segment (19-20 September 2024, via Zoom): 30,00€ * In-Person Segment (23-25 September 2024, Uni. Azores): 30,00€ * Online + In-person Segment (19-20 September 2024, online + 23-25 September 2024, Uni. Azores): 50,00€ * Registration process: sent an email to interconfethicsofai(a)gmail.com<mailto:interconfethicsofai@gmail.com> with the title “Attendance 3ICEAI”. In the message, specify which modality you are interested in (Online only, In-Person only, or Both) and the details for registration will be sent right after. Any doubts or concerns can be addressed to: interconfethicsofai(a)gmail.com<https://ifilosofia.up.pt/activities/interconfethicsofai@gmail.com> Venue: University of Azores | Address: Rua da Mãe de Deus, 9500-321 Ponta Delgada, São Miguel, Açores. Organization: Mind, Language and Action Group | Institute of Philosophy | University of Porto Center for Humanistic Studies | University of the Azores Organizing Committee Steven S. Gouveia (Chair) Rui Sampaio da Silva (Local Organizer) Sofia Miguens Jaroslav Malík Romeu Ivolela Liberty Severs Support: CEEC Project by FCT 2022.02527.CEECIND TL Modern & Contemporary Philosophy RG Mind, Language and Action Group (MLAG) Instituto de Filosofia da Universidade do Porto – UIDB/00502/2020 Fundação para a Ciência e a Tecnologia (FCT) Reitoria da Universidade do Porto + Center for Humanistic Studies University of the Azores

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Faculty positions in Neurosci. and Comp. Sci. in Alberta, Canada
by Luczak, Artur Sept. 6, 2024

Sept. 6, 2024

University of Lethbridge has 2 faculty positions open: 1. Neuroscience Assistant Professor. This is in Neurosci Dept which has multiple faculty with Comp. Neurosci. background, thus someone with similar interests may fit well there ( https://www.ulethbridge.ca/artsci/neuroscience/our-faculty ) https://uleth.peopleadmin.ca/postings/7721 1. Assistant Professor in Computer Science. A review of candidates already started, but you can try to submit a late application, and maybe notify Dr. Wendy Osborn (Co-chair Computer Science, wendy.osborn(a)uleth.ca<mailto:wendy.osborn@uleth.ca>) to ensure that the search com. is aware of your late submission. https://uleth.peopleadmin.ca/postings/7483 Best, Artur Luczak https://people.uleth.ca/~luczak/

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Open-rank Faculty Position in Computational and Behavioral Neuroscience in the UCLA Department of Psychology
by MARIO DIPOPPA Sept. 6, 2024

Sept. 6, 2024

Dear Colleagues, The UCLA Department of Psychology is hiring a full-time, tenure-track, or tenured faculty position at the rank of Assistant Professor, Associate Professor, or Professor specializing in computational neuroscience and the use of advanced mathematical methods and theoretical approaches to understand behavior and brain processes. The application deadline is October 31, 2024. Please find the online ad at this link: https://recruit.apo.ucla.edu/JPF09740. Potential applicants with questions about how their specialization aligns with the position can inquire to Prof. Kate Wassum, search committee chair, at SearchCommittee(a)psych.ucla.edu. === Mario Dipoppa, PhD Assistant Professor University of California, Los Angeles Department of Neurobiology David Geffen School of Medicine

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Reminder: Virtual neuroscience conference for trainees and early career researchers/professionals
by Pranjal Garg Sept. 5, 2024

Sept. 5, 2024

*NeuroNovember Convention 2024* We invite you to join us for a virtual weekend-long neuroscience conference for trainees and early-career professionals on November 9-10, 2024. *About the Convention* NeuroNovember is a joint venture between Project Encephalon <https://www.projectencephalon.org/> and Simply Neuroscience <https://www.simplyneuroscience.org/>, designed to make quality, world-class science accessible to everyone, regardless of their ability to travel and attend in-person events. This collaboration represents a unique opportunity to amplify our collective impact on neuroscience education and awareness globally. NeuroNovember will feature scientific talks, workshops, abstract presentations, and various other opportunities to interact and network with prominent professionals, organizations, and ventures actively shaping the future of neuroscience. More details can be found at https://www.neuronovember.org/ *Abstract Submissions* Early-career researchers, trainees, scholars, and professionals are invited to submit abstracts for poster and oral presentations in neuroscience and related fields. More details can be found at https://www.neuronovember.org/abstracts Submission Deadline: September 15, 2024, 11:59 PM EST Please feel free to reach out to info(a)neuronovember.org with any queries or comments. We look forward to seeing you all there.

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Call for Papers NeurIPS Workshop on Symmetry, Geometry and Neural Representations (NeurReps)
by Simone Azeglio Sept. 5, 2024

Sept. 5, 2024

Dear Colleagues, We are pleased to announce the call for papers for the NeurReps Workshop on Symmetry and Geometry in Neural Representations (www.neurreps.org) The workshop invites submissions contributing novel research incorporating symmetry, geometry, or topology into the design of artificial neural networks, the analysis of neural data, or theories of neural computation. Key Details: - Submission Deadline: September 13, 2024 11:59 PM AoE - Author Notification: October 9, 2024 11:59 PM AoE - Two submission tracks: 1. Proceedings Track (up to 9 pages, to be published in PMLR) 2. Extended Abstract Track (up to 4 pages) Themes of particular interest include: - Theory and methods for learning invariant and equivariant representations - Statistical learning theory in the context of topology, geometry, and symmetry - Representational geometry in neural data - Equivariant world models for robotics - Topological deep learning and topological data analysis - Geometric structure in language - Symmetries, dynamical systems, and learning We welcome both theoretical contributions and applied results in domains such as vision, motor control, navigation, and language. For full details on the call for papers, submission instructions, and LaTeX templates, please visit: https://www.neurreps.org/call-for-papers If you have any questions, please contact organizers(a)neurreps.org. We look forward to your submissions! Best regards, Simone Azeglio & NeurReps Workshop Organizers

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OPEN FACULTY POSITIONS, RIKEN Center for Brain Science, Japan
by Taro Toyoizumi Sept. 5, 2024

Sept. 5, 2024

OPEN FACULTY POSITIONS (Brain science in general) https://cbs.riken.jp/career-brain-science-2024/index.html The RIKEN Center for Brain Science (CBS) was launched in April 2018 following the strong 20-year foundation of its predecessor, the Brain Science Institute (BSI). CBS aims to meet society’s ever-growing expectations for brain research. (For the four main goals of CBS, please visit, https://cbs.riken.jp/en/about/ ) We are currently seeking outstanding neuroscientists for Team Leader positions (junior principal investigators). However, applications from internationally established neuroscientists may be considered. To promote diversity, a strength of CBS, we proactively recruit women when the candidate's research skills are deemed equal. At RIKEN CBS, Team Leaders have full intellectual independence, generous internal funds including a highly competitive start-up package and access to ample communal facilities in a collaborative environment. Successful candidates for the Team Leader position must have demonstrated the ability to develop an original, independent and internationally competitive research program. We encourage applications from all disciplines of neuroscience, particularly in (1) research areas of neurological/psychiatric disorders and (2) theoretical and computational neuroscience. Successful candidates will hold a research management position, and as the head of a laboratory, they will provide leadership and guidance to laboratory members to conduct research. For details, please refer to the following website. https://cbs.riken.jp/en/careers/20240904_w24139_pi.html Application and letters of recommendation must arrive by 5 pm on November 15, 2024 (JST). Applicants should submit electronic files of a cover letter with a brief summary of their research program and future plans, curriculum vitae, list of research achievements and publications, list of acquired research funding, current research and achievements to date, future research plans, and reprints of five major publications maximum, through the application form. Three letters of recommendation must be directly submitted from the referees. Please see the website above for more details. --- Taro Toyoizumi, PhD Team Leader RIKEN Center for Brain Science https://toyoizumilab.riken.jp/taro/

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Postdoc in modeling cerebellar function
by Erik De Schutter Sept. 3, 2024

Sept. 3, 2024

A postdoctoral position is available in the Computational Neuroscience Unit (https://groups.oist.jp/cnu) of Prof. Erik De Schutter at the Okinawa Institute of Science and Technology for a researcher interested in modeling to help better understanding of cerebellar properties and function. Candidates should have good knowledge of cerebellar anatomy and physiology related to previous modeling work, and be open to an explorative approach. Depending on prior experience and interest the focus can be on modeling the cerebellum and its neurons and/or on analyzing experimental data obtained through collaboration. The postdoc will interact with other researchers and students in the lab who are working on cerebellar modeling projects. We offer attractive working conditions in an English language graduate university, located on a beautiful subtropical island. Starting date any time before end 2024. Send curriculum vitae, summary of research interests and experience, and the names of two referees to Prof. Erik De Schutter at erik(a)oist.jp <mailto:erik@oist.jp>

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Release of laMEG: a toolbox for laminar MEG
by James Bonaiuto Sept. 2, 2024

Sept. 2, 2024

Dear colleagues, Apologies for the cross-posting. I'm extremely pleased to announce the first release of laMEG: a toolbox for performing non-invasive inference of laminar-specific activity with MEG. My collaborators and I have been working on methods for laminar MEG for several years now, and we've finally put them all together in an easy-to-install toolbox. It includes test data, and tutorial jupyter notebooks to reproduce the simulations and analyses in all of our key papers: - Laminar inference using model comparison with either free energy or cross validation error, as well as power-based ROI analysis Bonaiuto, James J., Holly E. Rossiter, Sofie S. Meyer, Natalie Adams, Simon Little, Martina F. Callaghan, Fred Dick, Sven Bestmann, and Gareth R. Barnes. "Non-invasive laminar inference with MEG: Comparison of methods and source inversion algorithms." *Neuroimage* 167 (2018): 372-383. Bonaiuto, James J., Sofie S. Meyer, Simon Little, Holly Rossiter, Martina F. Callaghan, Frederic Dick, Gareth R. Barnes, and Sven Bestmann. "Lamina-specific cortical dynamics in human visual and sensorimotor cortices." *Elife* 7 (2018): e33977. - Free energy model comparison in a sliding time window with priors Bonaiuto, James J., Simon Little, Samuel A. Neymotin, Stephanie R. Jones, Gareth R. Barnes, and Sven Bestmann. "Laminar dynamics of high amplitude beta bursts in human motor cortex." *NeuroImage* 242 (2021): 118479. - Surface post-processing, following up from FreeSurfer recon-all, to downsample multiple surfaces and compute link vectors to constrain dipole orientations Bonaiuto, James J., Fardin Afdideh, Maxime Ferez, Konrad Wagstyl, Jérémie Mattout, Mathilde Bonnefond, Gareth R. Barnes, and Sven Bestmann. "Estimates of cortical column orientation improve MEG source inversion." *Neuroimage* 216 (2020): 116862. laMEG includes the ability to run any of these analyses on an arbitrary number of layer surfaces (not just pial versus white matter), interactive 3d surface visualization, an experimental "CSD" laminar analysis, and SPM compiled as a python library - no matlab license required. Github: https://github.com/danclab/laMEG Documentation: https://danclab.github.io/laMEG/ PyPI: https://pypi.org/project/lameg/ Best wishes, Jimmy Bonaiuto --------------------- James Bonaiuto Group leader | Institut des Sciences Cognitives | CNRS / Université Claude Bernard Lyon DANC lab <http://danclab.com> | @danc_labo <https://twitter.com/danc_labo>

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