- Comp-neuro - lists.cnsorg.org

Tenure-track position in AI in Complex Networks and Brain Dynamics

by Jaroslav Hlinka

Tenure Track Research Position - Artificial Intelligence in Complex Networks and Brain Dynamics The Institute of Computer Sciences of the Czech Academy of Sciences (ICS CAS), Prague, Czech Republic, invites applications for a tenure‐track position in Artificial Intelligence in broadest sense. The Complex Networks and Brain Dynamics group (http://cobra.cs.cas.cz/) invites applicants with interest to develop research agenda at the border of AI & neuroscience or AI & complex systems. *For informal inquiries write to Jaroslav Hlinka at hlinka(a)cs.cas.cz.* *We offer* a full-time position, which includes the following benefits: * Freedom and support to develop an independent research program. * Flexible working conditions, including the option to work part-time. * Initial salary matching the local price level (monthly gross salary 48-66 thousand CZK based on qualifications and experience - approximately 38-52 thousand CZK net salary), see the Cost Of Living in Prague. <http://www.numbeo.com/cost-of-living/comparison.jsp> * Additional bonuses based on research performance. * Additional bonuses based on successful grant applications up to 25%. * Career progression based on regular evaluations. * Five weeks of paid vacation on top of public holidays. * Child care facilities in the institute’s building. * Highly attractive and safe location (Prague). * Travel package for the total duration: up to 50 000 CZK for conferences and research stays. * Relocation package for fellow coming from abroad: 10 000 CZK plus 10 000 CZK for family (spouse and/or children). *We encourage you to apply, if you:* * hold a Ph.D. degree in a related field, * have an excellent research record relative to your career stage, and * show the potential to build an independent research group and acquire research funding. *Conditions of contract* You will be appointed for up to 3 years initially and your performance will be evaluated towards the end of this period. In case of a positive review, you will be eligible for an extension or a tenured appointment. Your involvement in graduate teaching programs and supervising graduate students will not be mandatory, yet welcomed by the Institute. *To apply,* submit your application to jobs(a)cs.cas.cz, including the following: * a cover letter in which you describe your motivation and qualifications for the position, * a curriculum vitae, including a list of publications and a description of the three most important research achievements, * a description of your scientific interest and plans, including potential collaborations within and outside of the institute. Contact hlinka(a)cs.cas.cz for consulting the outline. * 3 letters of recommendation sent directly to ics(a)cs.cas.cz by the referees. /*The first cut off point for application is 20th October 2023.*//**//*The closing date for application is 20th November 2023.*//**/*Expected starting date upon agreement.* -- Jaroslav Hlinka Head of the Department of Complex Systems Institute of Computer Science Czech Academy of Sciences Pod Vodarenskou vezi 2 Prague 8, 182 00, Czech Republic Tel: (+420) 26605 3808 E-mail: hlinka(a)cs.cas.cz Web: http://www.cs.cas.cz/hlinka/ Complex Networks and Brain Dynamics Group (COBRA): http://cobra.cs.cas.cz

Oct. 13, 2023

applications for tenure track position at University of Pennsylvania due Oct 16

by Maria Geffen

Dear colleagues, The application deadline for our tenure track position is fast approaching. The Hearing Research Center at the University of Pennsylvania <https://www.med.upenn.edu/pennhearing/> has an opening for a tenure-track assistant professor in auditory systems neuroscience to join our team. Applications are accepted on rolling basis, with preference given to applications received by Oct 16. Application is available here: https://apply.interfolio.com/100900 <https://apply.interfolio.com/100900> With kind wishes, -Maria and Yale Assistant Professor of Auditory Neuroscience, Tenure Track <https://apply.interfolio.com/100900> The Department of Otorhinolaryngology: Head and Neck Surgery <https://www.pennmedicine.org/departments-and-centers/otorhinolaryngology> at the Perelman School of Medicine <https://www.pennmedicine.org/> at the University of Pennsylvania <http://upenn.edu/> seeks candidates for an Assistant Professor position in the tenure track <https://apply.interfolio.com/100900>. Expertise is required in the specific area of systems neuroscience with a focus on identifying the neural correlates of hearing function or dysfunction with an emphasis on identifying the causal relationships between neural activity in individual neurons and/or circuits and learning or behavior. Particular areas of interest include computational neuroscience and translational approaches. Applicants must have an M.D. or Ph.D. or M.D./Ph.D. degree. Teaching responsibilities may include training of graduate students and post-doctoral investigators. Research or scholarship responsibilities may include building an independent research program in basic and/or translational studies in auditory neuroscience. Scholarship should include peer-reviewed publications and presentations of work at scientific meetings and other venues. The selected candidate will be expected to develop interactions with investigators not only in the department <https://www.med.upenn.edu/pennhearing/>, but within the greater neuroscience community in the Perelman School of Medicine <https://mindcore.sas.upenn.edu/> (e.g. the Computational Neuroscience Institute <http://cni.upenn.edu/>) and across the University campus. Ideally, the candidate should have the vision and ability to effectively interact with clinicians to establish and foster translational research programs within their research discipline. The ideal candidate should have completed advanced postdoctoral training or be an early career investigator with an exceptional record of research achievement demonstrating a trajectory for success in academic medicine. Key selection criteria will be in research excellence and originality of science. There is opportunity for a secondary appointment in a basic science department for the successful candidate. Candidates with a keen interest in building interdisciplinary programs through interactions across the basic and clinical departments within the Perelman School of Medicine, as well as other health-related schools at the University of Pennsylvania, are encouraged to apply. The Department of Otorhinolaryngology: Head and Neck Surgery is among the leading departments in the nation, and home to basic and translational scientists who conduct world-class research in auditory systems neuroscience <https://www.med.upenn.edu/pennhearing/>. The Perelman School of Medicine <https://www.pennmedicine.org/> at the University of Pennsylvania <http://upenn.edu/> provides an intellectually vibrant and collaborative interdisciplinary environment, with a wealth of cutting-edge research resources. We seek candidates who embrace and reflect diversity in the broadest sense. The University of Pennsylvania is an EOE. Minorities/women/individuals with disabilities/protected veterans are encouraged to apply. ______________________________ Maria N. Geffen, Ph.D. (she/her) Professor Department of Otorhinolaryngology Department of Neuroscience Department of Neurology Co-Director, Computational Neuroscience Initiative Stemmler Hall G14 3450 Hamilton Walk Philadelphia PA 19104 (215)898-0782 mgeffen(a)pennmedicine.upenn.edu <mailto:mgeffen@pennmedicine.upenn.edu> My zoom room <https://pennmedicine.zoom.us/my/mgeffen?pwd=eWVFbUJFUGRJZ3g1eU9YZEZic2VwZz09> Follow me @geffenlab@mastodon.world <https://mastodon.world/@geffenlab> @geffenlab.bsky.social <https://bsky.app/profile/geffenlab.bsky.social> http://hosting.med.upenn.edu/hearing <http://hosting.med.upenn.edu/hearing> Twitter: @neimarkgeffen <http://twitter.com/neimarkgeffen>

Oct. 12, 2023

CFP FRCCS 2024 Montpellier, France May 29 – 31,,,2024

by Amira Mouakher

Fourth*F*rench*R*egional*C*onference**on*C*omplex*S*ystems** May 29 – 31, 2024 Montpellier, France *FRCCS 2024* <https://iutdijon.u-bourgogne.fr/ccs-france/>** After successfully hosting the conference in Dijon in 2021, Paris in 2022, and Le Havre in 2023, the fourth edition of the French Regional Conference on Complex Systems (FRCCS 2024) will be held in Montpellier, France. This single track international conference organized by CSS France <https://www.cssfrance.org/>serves as a platform to foster interdisciplinary exchanges among researchers from various scientific disciplines and diverse backgrounds, including sociology, economics, history, management, archaeology, geography, linguistics, statistics, mathematics, and computer science. FRCCS 2024 provides a valuable opportunity for participants to meet in France, exchange and promote ideas, facilitating the cross-fertilization of recent research work, industrial advancements, and original applications. Moreover, the conference emphasizes research topics with a high societal impact, showcasing the significance of complexity science in addressing complex societal challenges. Join us in Montpellier as we collectively strive to better understand complexity and its implications for society. You are cordially invited to submit your contribution until *February 21, 2024.* Finalized work (published or unpublished) and work in progress are welcome.Two types of contributions are accepted: ·*Papers*about *original research* (up to 12 pages) ·*Extended Abstract*about *published or unpublished* research (3 to 4 pages). *Keynote Speakers* ·Ingmar Weber <https://ingmarweber.de/>, Saarland University, Germany ·Sonia Kéfi <https://biodicee.edu.umontpellier.fr/who-we-are/sonia-kefi/>, Université de Montpellier, France ·Petter Holme <https://petterhol.me/>, Aalto University, Finland ·Natasa Przulj <https://www.bsc.es/przulj-natasa>, Barcelona Supercomputing Center, Spain ·*More TBA…* ** *Publication* oContributions will be included in the conference proceedings (With ISBN) o*Selected submissions of unpublished work will be invited for publication in special issues (fast track procedure) **of the journals:* oApplied Network Science, <https://appliednetsci.springeropen.com/>edited by Springer oComplexity, <https://www.hindawi.com/journals/complexity/?utm_source=google&utm_medium=c…>edited by Hindawi *Submission * ·Submit on CMT Microsoft at:https://cmt3.research.microsoft.com/FRCCS2024/ <https://cmt3.research.microsoft.com/FRCCS2024/> ·*Select the Track: FRCCS2024* ** *Topics include, but are not limited to: * ·*Foundations of complex systems * o Self-organization, non-linear dynamics, statistical physics, mathematical modeling and simulation, conceptual frameworks, ways of thinking, methodologies and methods, philosophy of complexity, knowledge systems, Complexity and information, Dynamics and self-organization, structure and dynamics at several scales, self-similarity, fractals * *Complex Networks * o Structure & Dynamics, Multilayer and Multiplex Networks, Adaptive Networks, Temporal Networks, Centrality, Patterns, Cliques, Communities, Epidemics, Rumors, Control, Synchronization, Reputation, Influence, Viral Marketing, Link Prediction, Network Visualization, Network Digging, Network Embedding & Learning. * *Neuroscience, **Linguistics* o Evolution of language, social consensus, artificial intelligence, cognitive processes & education, Narrative complexity * *Economics & Finance* o Game Theory, Stock Markets and Crises, Financial Systems, Risk Management, Globalization, Economics and Markets, Blockchain, Bitcoins, Markets and Employment * *Infrastructure, planning, and environment * o critical infrastructure, urban planning, mobility, transport and energy, smart cities, urban development, urban sciences * *Biological and (bio)medical complexity * o biological networks, systems biology, evolution, natural sciences, medicine and physiology, dynamics of biological coordination, aging * *Social complexity* osocial networks, computational social sciences, socio-ecological systems, social groups, processes of change, social evolution, self-organization and democracy, socio-technical systems, collective intelligence, corporate and social structures and dynamics, organizational behavior and management, military and defense systems, social unrest, political networks, interactions between human and natural systems, diffusion/circulation of knowledge, diffusion of innovation * *Socio-Ecological Systems* o Global environmental change, green growth, sustainability & resilience, and culture * *Organisms and populations * o Population biology, collective behavior of animals, ecosystems, ecology, ecological networks, microbiome, speciation, evolution * *Engineering systems and systems of systems*** o bioengineering, modified and hybrid biological organisms, multi-agent systems, artificial life, artificial intelligence, robots, communication networks, Internet, traffic systems, distributed control, resilience, artificial resilient systems, complex systems engineering, biologically inspired engineering, synthetic biology * *Complexity in physics and chemistry* o quantum computing, quantum synchronization, quantum chaos, random matrix theory *GENERAL CHAIRS* Roberto InterdonatoCIRAD, UMR TETIS, Montpellier Bruno Pinaud LABRI University of Bordeaux** **

Oct. 12, 2023

Postdoc position in sleep modeling/analysis

by Goodhill, Geoffrey

POSTDOC POSITION IN MODELING/ANALYSIS FOR UNDERSTANDING SLEEP OVERVIEW. An NIH-funded collaboration between David Prober (Caltech), Thai Truong (USC) and Geoff Goodhill (Washington University in St Louis) aims to gain new insight into the neural circuits underlying sleep, through a combination of whole-brain neural recordings in zebrafish and theoretical/computational modeling. A postdoc position is available in the Goodhill lab to contribute to the modeling and computational analysis components. PROJECT DETAILS. Using novel 2-photon imaging technologies Prober and Truong are recording from the entire larval zebrafish brain at single-neuron resolution continuously for long periods of time, examining neural circuit activity during normal day-night cycles and in response to genetic and pharmacological perturbations. The Goodhill lab is analyzing the resulting huge datasets using a variety of sophisticated computational approaches, and using these results to build new theoretical models that reveal how neural circuits interact to govern sleep. APPLICANT PROFILE. Applicants should have a strong background in mathematics/theory/computation applied to biological problems. Experience in analyzing sleep processes is desirable but not required. LAB ENVIRONMENT. The Goodhill lab is an interdisciplinary environment of students and postdocs from a diverse array of backgrounds including neuroscience, mathematics, physics and engineering, working together on understanding neural circuit computation, particularly relating to neural development. The lab both performs its own behavioral and neural imaging experiments with larval zebrafish, and collaborates on the analysis of data generated elsewhere. UNIVERSITY ENVIRONMENT. Washington University in St Louis is ranked in the top 10 institutions globally for Neuroscience and Behavior, and offers an outstanding intellectual environment for research in neuroscience. The Goodhill lab has recently moved into Washington University's new start-of-the-art 600,000 sq ft Neuroscience Research Building (https://neuroscience.wustl.edu/research/neuroscience-building) For more information about St Louis see https://explorestlouis.com. To apply please send a detailed CV and cover letter explaining your interest in the positions to g.goodhill(a)wustl.edu<mailto:g.goodhill@wustl.edu>. Review of applications will continue until the position is filled. Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 660 S. Euclid Avenue St. Louis, MO 63110 g.goodhill(a)wustl.edu<mailto:g.goodhill@wustl.edu> https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

Oct. 12, 2023

Announcing the Rich Lab at the University of Connecticut: Open graduate and postdoc positions

by Scott Rich

Dear Comp-Neuro listserv, I'm excited to announce that the Rich Lab will be established in the University of Connecticut's Department of Physiology and Neurobiology in January 2024. The lab will use diverse tools from computational neuroscience to study how neuronal diversity drives physiologically relevant brain function in neuronal circuits, and how disruptions to this diversity might contribute to various neuropathologies. The lab's genesis means I'll be recruiting multiple graduate students, as well as a postdoc. *Interested graduate students should plan on attending the department's virtual recruitment event (see details here <https://twitter.com/RichCompNeuro/status/1712161604249272358>) on November 17 and applying to the program before December 1. *Please also report your interest by filling out, to the best of your ability, this Google Form <https://forms.gle/JKPVaAzfbKpiMJFo6>. *An official job posting for the postdoctoral position is forthcoming*, but if you are interested please fill out the Google Form <https://forms.gle/JKPVaAzfbKpiMJFo6> to ensure you're kept in the loop when that posting is public. If you have any specific questions about these opportunities please feel free to reach out to me, either at this e-mail address or s.rich(a)uconn.edu. Sincerely, Scott Rich

Oct. 12, 2023

PhD position available

by Klaus Obermayer

!!!PLEASE NOTE, THAT VERY GOOD GERMAN LANGUAGE SKILLS ARE REQUIRED!!! ** *Neural Information Processing Group @ Technische Universität Berlin (Berlin, Germany)) * Faculty IV - Institute of Software Engineering and Theoretical Computer Science ** *PhD Position in Computational Neuroscience (salary level TV-L E13 100%)* ** *Modelling Neural Dynamics and the Effects of Transcranial Electrical Stimulation* ** *Reference number: *IV-673/23 (starting at the earliest possible date / for 5 years / closing date for applications for full consideration: Nov. 9, 2023 / applications will be accepted until the position is filled). *Working field: *Participation in the projects of the our research group in the field of computational neuroscience on modelling neural dynamics and the effects of transcranial electrical stimulation; collaboration with theoretical and experimental / clinical research groups of the Collaborative Research Center 1315 „Mechanisms and Disturbances of Memory Consolidation" (https://www.sfb1315.de/, cf. project B03) and the Bernstein Center for Computational Neuroscience Berlin (https://www.bccn-berlin.de/) assistance in the maintenance of the computer infrastructure of the research group; teaching tutorials for introductory courses in programming and algorithms & architectures for non-CS students. For information about our research group see https://www.tu.berlin/en/ni. *Requirements: *Successfully completed university degree (Master, Diplom, or equivalent) in Computational Neuroscience, Computer Science, Electrical Engineering, Mathematics, Physics, or related fields; in-depth knowledge in dynamical systems, very good command of the German and English languages, the ability to teach in both German and English is required; very good programming skills and competences in the operating system UNIX; experience in modelling neural systems, teaching experience, and experience in server administration (UNIX) are desirable. Please send your application with the usual documents exclusively by e-mail to Prof. Dr. Klaus Obermayer at *klaus.obermayer(a)tu-berlin.de*, quoting the *reference number*.

Oct. 12, 2023

Invitation to the event "C3: Complexity, Computers, and Consciousness"

by Fernando Rosas De Andraca

Dear colleagues, Please find below information about an upcoming event exploring the interface between neuroscience and computer science with a fantastic lineup of speakers. Feel free to distribute this information with anyone you think could be interested in participating. With best wishes, Fernando Rosas Lecturer Department of Informatics University of Sussex ######################################################### Dear all, It is our great pleasure to invite you to the event C3: Complexity, Computing, and Consciousness, which will take place in November 9th and 10th, 2023. The event aims to foster interdisciplinary discussions focused on the relationship between complexity science, consciousness research, and artificial intelligence. https://iop.eventsair.com/c3-2023<https://iop.eventsair.com/c3-2023> In an era where Artificial Intelligence — particularly Large Language Models — plays an increasingly significant role in our lives, exploring the intersection of consciousness and AI is not only timely but also essential. The lineup of speakers in this event includes distinguished experts from diverse fields, including Philosophy, Complexity Science, Neuroscience, and Computer Science. Event Details: - Dates: November 9th and 10th, 2023 - Location: IoP Campus, King's Cross, London, UK - Format: Hybrid (in person + zoom), allowing remote participation from anywhere in the world. Participation to the event (either in person or remote) is free. Please find the registration form in the webpage. Abstract submission for short talks at the event is also open. We encourage PhD students and early career researchers to submit a brief abstract for a short talk at the event. To submit, simply visit the event's website and find the relevant section. Registration deadline for participation: November 6th, 2023 Abstract Submission Deadline: October 23th, 2023 The workshop will also host a public panel discussion on the topic “Is there an I in AI?” Registration for the the public event are also open, and can be found in the webpage provide above. Stay Connected: Stay updated on event details, speakers, and related news by following the hashtag #C3Event on Twitter. Contact Us: If you have any questions or need further information, please feel free to contact the organisers via jenny.griffiths(a)iop.org<mailto:jenny.griffiths@iop.org>

Oct. 12, 2023

PhD position in machine learning at the University of Nottingham

by silvia maggi

Hello, We have a fully funded PhD position open at the University of Nottingham to work on developing machine learning approaches to track an individual’s decision-making behaviour in an uncertain environment. The project will be supervised by Dr Silvia Maggi and Prof. Mark Humphries in collaboration with Dr Hazem Toutounji. For more information and how to apply, click here<https://www.findaphd.com/phds/project/cognitive-flexibility-in-dynamic-deci…>. The application deadline is 30 November 2023, starting 1st of February 2024. Best Silvia ************************************ Silvia Maggi, PhD Assistant Professor School of Psychology (room LG18) University of Nottingham

Oct. 11, 2023

postdoc on computational modelling of perceptual inference and psychophysics (CRM, Barcelona)

by Alexandre Hyafil

A postdoc position is available under the supervision of Alexandre Hyafil in the group of Computational Neuroscience at the *Center for Research in Mathematics (CRM),* Barcelona, Spain (https://www.crm.cat/_neuroscience/) The project involves a flexible mix of theory (mostly based on Bayesian perception and Probabilistic Graphical Models) and psychophysics (possibly neuroimaging) to study the mechanisms of propagation of belief in human perception. Our lab is part of a larger interacting network of computational/cognitive/systems neuroscience labs in Barcelona ( http://www.barccsyn.org) Candidates should have a PhD in computational cognitive neuroscience or a related field. Prior experience with psychophysics, neuroimaging, machine learning and/or computational modelling will be valued. Financial support is provided by the Spanish Ministry of Science. Initial appointment: two years. *APPLICATION:* Send a curriculum and motivation letter with a list of two contacts for recommendation letter to alexandre.hyafil(a)gmail.com. Informal enquiries are welcome. *DEADLINE:* until the position is filled *STARTING DATE:* anytime before september 2024

Oct. 11, 2023

Postdoc in brain networks + 2 PhD positions in AI for neuroscience and collective dynamics

by Giovanni Petri

Hello, We have various positions open in the Network Science Institute at Northeastern University London. In particular, we have: - 1 postdoc position open on higher-order approaches to brain function: https://www.jobs.ac.uk/job/DCX115/postdoctoral-research-associate-in-networ… - 2 Phd positions on symmetries in learning systems and on collective dynamics: https://www.jobs.ac.uk/job/DDF050/phd-scholarship-fully-funded-in-network-s… https://www.jobs.ac.uk/job/DDF101/phd-scholarship-fully-funded-in-network-s… For any information, I can be reached at giovanni.petri(a)nulondon.ac.uk. Best, G. -- ----------------------------------------------------------------------------------- *Higher-Order Systems* Available through all good bookshops, or direct from SpringerLink <https://link.springer.com/book/10.1007/978-3-030-91374-8> ------------------------------------------------------------ ----------------------- Giovanni Petri, PhD Professor, Network Science Institute Northeastern University London lordgrilo.github.io ------ CENTAI Lead, Project CETI <https://www.projectceti.org/> ------ Guest Scholar, NETWORKS Unit, IMT School for Advanced Studies Lucca ------

Oct. 11, 2023

COSYNE 2024: Call for Workshop Proposals; Call for Abstracts

by Tomas Hromadka

==================================================== Computational and Systems Neuroscience 2024 (Cosyne) MAIN MEETING 29 February - 03 March 2024 Lisbon, Portugal WORKSHOPS 04 March - 05 March 2024 Cascais, Portugal www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission is now open. Workshop proposal submission deadline: 10 November 2023 Abstract submission deadline: 19 November 2023 ---------------------------------------------------- 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. All abstract submissions will be reviewed double blind. The deadline for Abstract submission will be 19 November 2023. 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. 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 Cascais, Portugal. - 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) WORKSHOP FULL PROPOSALS - Deadline 10 November 2023 To submit your Cosyne 2024 Workshop Proposal, please visit Cosyne.org -> Workshops -> Call for Proposals 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 2024 WORKSHOP CHAIRS SueYeon Chung (NYU/Flatiron) and Andrew Saxe (Oxford) COSYNE WORKSHOPS CONTACT workshops [at] cosyne.org ----------------------------------------------------- COSYNE 2024 COMMITTEES ----------------------------------------------------- COSYNE ORGANIZING COMMITTEE General Chairs: Jessica Cardin (Yale) and Blake Richards (McGill) Program Chairs: Bing Brunton (U Washington) and Chandramouli Chandrasekaran (Boston U) Workshop Chairs: SueYeon Chung (NYU/Flatiron) and Andrew Saxe (Oxford) Tutorial Chair: Il Memming Park (Champalimaud) Undergraduate Travel Chairs: Kimberly Stachenfeld (DeepMind) and Marcelo Mattar (NYU) DEIA Committee: Hysell Oviedo (Washington U) and Luke Sjulson (Albert Einstein) Fundraising Chair: Michael Long (NYU) Social Media Chair: Sabera Talukder (Caltech) Audio-Video Media Chair: Carlos Stein Brito (Champalimaud) Poster Design: Maja Bialon COSYNE PROGRAM COMMITTEE Bing Brunton (U Washington) Co-chair Chandramouli Chandrasekaran (Boston U) Co-chair Timothy Buschman (Princeton) Alex Cayco Gajic (Ecole Normale Superieure) Hannah Choi (Gatech) Brian DePasquale (Boston U) Sridhar Devarajan (Indian Inst Sci) Laura Driscoll (Stanford) Ann Duan (UCL) Lea Duncker (Stanford) Annegret Falkner (Princeton) Juan Gallego (Imperial) Matthew Golub (U Washington) Bilal Haider (Georgia Tech) Kiah Hardcastle (Harvard) Kameron Harris (W Washington U) Santiago Jaramillo (U Oregon) Jonathan Kao (UCLA) Kohitij Kar (York U) Ann Kennedy (Northwestern) Guillaume Lajoie (MILA) Laura Lewis (MIT) Camilo Libedinsky (National U Singapore) Scott Linderman (Stanford) Ashok Litwin-Kumar (Columbia) Emily Mackevicius (Basis) Leenoy Meshulam (U Washington) Jonathan Michaels (York U) James Murray (U Oregon) Hendrikje Nienborg (NIH) Gouki Okazawa (Chinese Acad Sci) Chethan Pandarinath (Emory) Il Memming Park (Champalimaud) Hannah Payne (Columbia) Talmo Pereira (Salk) Supratim Ray (Indian Inst Sci) Erin Rich (Mount Sinai) Ben Scott (Boston U) Alireza Soltani (Dartmouth) Nicholas Steinmetz (U Washington) Marie Suver (Vanderbilt) Aparna Suvrathan (McGill) John Tuthill (U Washington) Ali Weber (Bryn Mawr) Brady Weissbourd (MIT) Alex Williams (NYU) Klaus Wimmer (CRM) Brad Wyble (Penn State) COSYNE EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Anne-Marie Oswald (U Pittsburgh) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) COSYNE 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.

Oct. 10, 2023

Scientist position at the Allen Institute

by Anton Arkhipov

Dear Colleagues, A Scientist position is open at the Allen Institute in the area of biologically realistic modeling. Please see the job description here: https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=2773735 The Scientist will participate in our efforts to develop bio-realistic simulations at multiple levels: from neurons, to brain areas, to whole brains. These efforts leverage our multimodal datasets on the composition, connectivity, and in vivo activity of the mouse brain. The goal is to study the cell type and circuit mechanisms of brain computations and dynamics. Please consider applying and reach out if you have any questions. I and members of my group are attending the SfN meeting and will be happy to talk with potential applicants there. Best wishes, Anton Arkhipov Investigator Allen Institute Seattle, WA antona(a)alleninstitute.org<mailto:antona@alleninstitute.org>

Oct. 10, 2023

LASCON 2024 - IX Latin American School on Computational Neuroscience (Call for applications)

by Antonio Roque

**** Apologies for cross-posting **** IX Latin American School on Computational Neuroscience - LASCON 2024 January 8 - February 2, 2024, University of Sao Paulo, Sao Paulo, Brazil www.sisne.org/lascon-ix APPLICATION DEADLINE: October 14, 2023 SECOND ANNOUNCEMENT Dear Colleagues, After the hiatus of the pandemic, I am pleased to announce that the 9th edition of the Latin American School on Computational Neuroscience (LASCON 2024) will take place January 8 - February 2, 2024 at the NeuroMat Center in the University of Sao Paulo, Sao Paulo, Brazil. LASCON aims at introducing young researchers and graduate and advanced undergraduate students to the use of computational and mathematical methods for modeling neurons and neural networks. The following topics will be covered: single-cell models (biophysically detailed, reduced and simplified), circuit and network models of biophysically detailed and simplified spiking neurons, probabilistic neuronal models, synaptic plasticity and learning, spike train analysis, neural population models, neuron-glia interaction models, models of extracellular fields, brain criticality, computational psychiatry, traveling waves in neural systems, and dynamics of neuronal functional connectivity. These subjects will be taught via theoretical classes and hands-on tutorials with the use of the programs NEURON, NetPyNE, NEST, Brian, The Virtual Brain and others. Students will have to work on small research projects (to be done in groups of two), which they will present orally at the end of the school. The following lecturers will be in charge of theoretical classes and tutorials: Aline Duarte, University of Sao Paulo, Sao Paulo, SP, Brazil Arnd Roth, University College, London, UK Christophe Pouzat, University of Strasbourg, Strasbourg, France Demian Battaglia, University of Strasbourg, Strasbourg, France Gaute Einevoll, Norwegian University of Life Sciences, As, Norway German Mato, Bariloche Atomic Center, San Carlos de Bariloche, Argentina Hans Ekkehard Plesser, Norwegian University of Life Sciences, As, Norway Horacio Rotstein, New Jersey Institute of Technology, Newark, NJ, USA John Murray, Dartmouth College, Hanover, NH, USA Junji Ito, Juelich Research Center, Juelich, Germany Lyle Muller, Western University, London, Ontario, Canada Marja-Leena Linne, Tampere University, Tampere, Finland Mauricio Girardi-Schappo, Federal University of Santa Catarina, Florianopolis, SC, Brazil Mauro Copelli, Federal University of Pernambuco, Recife, PE, Brazil Sonja Gruen, Juelich Research Center, Juelich, Germany Tilo Schwalger, Technical University of Berlin, Berlin, Germany Valeriy Bragin, State University of New York, New York, NY, USA William Lytton, State University of New York, New York, NY, USA The number of students is limited to 40 and applications should be made electronically via the application form in the school's web page ( www.sisne.org/lascon-ix) Applicants are also requested to submit a detailed CV (in English) and to provide two letters of recommendation. The application deadline is October 14, 2023 (until midnight, US Pacific time). There is no registration fee for the school. Depending on available funding, the school organization may provide free accommodation for students not from the Greater Sao Paulo area. Travel costs will have to be covered by the students. Sao Paulo is the major transportation hub in South America, so it is possible to fly from basically anywhere in the world to its airports. In the selection procedure, priority will be given to Latin-American students, but students from other parts of the world are encouraged to apply as well. LASCON 2024 is an activity of the FAPESP Center for Neuromathematics (NeuroMat - http://neuromat.numec.prp.usp.br/) I am looking forward to see you in Sao Paulo. Best regards, Antonio Roque LASCON Director -- Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil antonior(a)usp.br <antonior(a)ffclrp.usp.br> aroquesilva(a)gmail.com www.sisne.org ORCID: 0000-0003-1260-4840 <https://orcid.org/0000-0003-1260-4840> ResearcherID: C-2316-2011 <http://www.webofscience.com/wos/author/record/C-2316-2011> Google Scholar: GqHWF74AAAAJ <http://scholar.google.com.br/citations?user=GqHWF74AAAAJ> CV Lattes: 4609096963207702 <http://lattes.cnpq.br/4609096963207702>

Oct. 9, 2023

Human Neocortical Neurosolver workshop at SFN 2023

by Stephanie Jones

Are you going to SFN this year and interested in learning about how to interpret the cell and circuit origin of your EEG or MEG data? Join us for an in person hands-on SFN satellite workshop on the Human Neocortical Neurosolver (HNN, https://hnn.brown.edu <https://hnn.brown.edu/> ) on Sat November 10th 9am-3pm. The HNN is an open-source software tool to help researchers and clinicians interpret the cell and circuit origin of their MEG/EEG data. Attendees will learn how to use the HNN-GUI to study the origin of commonly measured signals, including ERPs and low frequency brain rhythms, followed by instruction on how to simulate these signals using the HNN-core Python interface. If you have specific data to work with, bring it and we’ll help you get started. Free pre-registration is required & limited to 25 participants. Registration is filling fast. Sign up today at: https://tinyurl.com/mryhbuy8 . ******************************************* Stephanie R. Jones, PhD Professor Department of Neuroscience Brown University Stephanie_Jones(a)Brown.edu https://sites.brown.edu/stephanie-r-jones-lab/ @drstephjones Human Neocortical Neurosolver https://hnn.brown.edu <https://hnn.brown.edu/> @HNNsolver

Oct. 9, 2023

Postdoctoral position in Computational Neuroscience to study plasticity and learning in olfactory system

by Bazhenov, Maksim

The Bazhenov Lab at the University of California, San Diego, is currently seeking to fill a postdoctoral position to study mechanisms of plasticity and learning in the insect olfactory system. This exciting project involves close collaboration with several experimental labs. The ultimate goals of the work are to advance our understanding of how olfactory information is encoded, how animals learn from limited experience, and to develop novel AI algorithms inspired by principles learned from nature. The successful candidate will be responsible for: (a) Designing anatomically realistic computational network models of the olfactory system based on experimental data; (b) Developing and training machine learning models using empirical data. These models will be instrumental in uncovering network dynamics involved in processing and learning olfactory inputs. Additionally, depending on the candidate's interests and experience, there may be opportunities to participate in other related lab projects, such as modeling sleep or applying principles learned from neuroscience to artificial intelligence for continuous learning, knowledge generalization, and adaptation to novel situations and contexts. An ideal candidate should have a background in computational/theoretical neuroscience and neural modeling. Programming experience with C/C++ is required, and knowledge of Python and PyTorch is a significant plus. The University of California offers excellent benefits, and the salary will be based on research experience. Applicants should send a brief statement of research interests, a CV, and the names of three references to Maxim Bazhenov at mbazhenov(a)ucsd.edu<mailto:mbazhenov@ucsd.edu>

Oct. 6, 2023

2024 International Conference on Mathematical Neuroscience

by Avitabile, D. (Daniele)

Dear All, We are delighted to announce the 2024 International Conference on Mathematical Neuroscience, which will take place at University College Dublin from June 12-14. The conference will include keynote, invited and contributed talks, as well as poster presentations. Keynote lectures will be given by Benjamin Lindner (Bernstein Center for Computational Neuroscience, Berlin, Germany) Kathryn Hess Bellwald (EPFL, Lausanne, Switzerland) Martin Wechselberger (University of Sydney, Australia) (tentative) Our growing list of confirmed invited speakers includes Paul Bressloff (University of Utah, Salt Lake City, USA) Rodica Curtu (The University of Iowa, USA) Gemma Huguet (Universitat Politècnica de Catalunya, Spain) Songting Li (Shanghai Jiao Tong University, Shanghai, China) Tim O’Leary (University of Cambridge, UK) Tilo Schwalger (TU Berlin, Germany) For further information see the conference website www.danieleavitabile.com/icmns24 Details on abstract submission, registration and accommodations will be added in the coming week. Please share this announcement and spread the word with your networks! We look forward to seeing you in Dublin next summer. Best wishes, Áine Byrne, Daniele Avitabile and Jonathan Rubin

Oct. 4, 2023

Barcelona Event: "Creativity: What makes us human"

by Leonardo Dalla Porta

Greetings, We invite you to attend the roundtable discussion "Creativity: What makes us human," featuring three internationally renowned speakers: Pep Gatell, Artistic Director of La Fura dels Baus; Carme Ruscalleda, a 7-Michelin-starred chef; and Idan Segev, Neuroscientist from Hebrew University. We look forward to seeing you on *October 6th at 7:00 PM* in the Aula Magna of the Historic Building at the *University of Barcelona*. Due to limited space, we recommend that you register in advance. We would also appreciate it if you could share this invitation with your contacts. Registration here: Registration <https://forms.office.com/pages/responsepage.aspx?id=qzwxosOxOk-7ESFXRH3btDs…> Best Regards -- *Leonardo Dalla Porta D.*

Oct. 4, 2023

CFP - IEEE International Conference on Development and Learning 2024

by nagai.yukie＠mail.u-tokyo.ac.jp

Dear colleagues, IEEE International Conference on Development and Learning 2024 May 20–23, 2024 Austin, TX, USA Website: https://la.utexas.edu/users/dil/ICDL_Austin_2024/ Deadline for full paper submissions: December 15, 2023 Deadline for 1-page poster abstracts and journal track poster submissions: March 1, 2024 The IEEE International Conference on Development and Learning (ICDL) conference is a unique meeting gathering researchers from computer science, robotics, psychology, neuroscience, and other disciplines to share and discuss research on how humans and other animals learn and develop and how this can inform and be informed by robotics and machine learning systems. Full papers and other submissions are invited on a range of topics including but not limited to: ● Embodied learning and development in biological systems and robots ● Developmental stages and sensitive periods ● Emergence of verbal and nonverbal communication ● Curiosity, intrinsic motivations, exploration, play and active learning ● Architectures for lifelong learning ● Emergence of body and affordance perception ● Learning control of body movement ● Emotional development and the role of emotion in learning ● Prediction, planning, and problem solving ● The relationship between evolution and development ● Epistemological foundations and philosophical issues ● Robotic and computational models of human and animal development ● Developmentally-inspired machine learning ● Human-robot interaction in developmental contexts ● Applications of machine learning to human and animal development Submissions may take the form of full (6-page) papers, 1-page poster abstracts, journal track posters, and workshops or tutorials. Please see below for details on each submission type. Decisions regarding acceptance will be based on technical quality, novelty, and expected interest to the conference’s interdisciplinary audience. In addition to talks and posters originating from these submissions, the conference will feature a keynote speaker as well as several invited symposia showcasing recent research on a set of themes, with different disciplines and perspectives featured, to prompt lively and productive discussion at the conference. [ Submission types ] ● Full six-page paper submissions Papers of at most 6 pages in IEEE double column format will undergo peer-review, and accepted and presented submissions will be included in the conference proceedings published by IEEE Xplore. Up to two extra pages are acceptable for a publication fee of $100 per page. Accepted papers will be invited for presentation either in oral or poster format Please make use of the template provided at https://www.ieee.org/conferences/publishing/templates.html ● 1-page poster abstracts To encourage discussion of late-breaking results or for work that is not sufficiently mature for a full paper, we will accept 1-page abstracts. These submissions will not be included in the conference proceedings. Accepted abstracts will be presented during the poster session. ● Journal-track posters Journal track poster submissions must be about a journal paper that has been published recently (no earlier than December 2022), on a topic relevant to ICDL. Instructions regarding the online submission system will be posted soon via the conference website. Best regards, Yukie Nagai, on behalf of the organizing committees — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Feelings: https://cognitive-feeling.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org

Oct. 4, 2023

Final reminder: The fourth Canadian Computational Neuroscience Spotlight starts Thursday!

by Scott Rich

Dear Comp-Neuro Listserv, *The fourth edition of the Canadian Computational Neuroscience Spotlight (CCNS v4) begins this Thursday at 9 am EDT. *The free meeting takes place entirely online via the Crowdcast platform, and you can register here: https://www.crowdcast.io/c/ccnsv4 This year we'll be featuring three fantastic keynote speakers: Drs. Rick Adams, Jeremie Lefebvre, and Sarah Muldoon. In addition, each keynote talk will be accompanied by a related "workshop/tutorial" talk geared towards educating trainees, and we'll also highlight submitted talks by more than 40 undergrads, grad students, and postdocs. You can review the detailed schedule at ccnsmeeting.ca. Please don't hesitate to reach out if you have any questions, and we hope to (virtually) see you all later this week! Sincerely, Scott Rich

Oct. 3, 2023

Scientific Computing Associate - Biophysical Modeling - Janelia Farm Research Campus

by Ahmed El Hady

Dear all, Below an exciting opportunity in Janelia Farm Research Campus to be part of an exciting collaboration if you are into scientific computing, software development and neuronal biophysics: Scientific Computing Associate (SCA) <https://www.janelia.org/support-team/scientific-computing-software/scientif…> II position represents an alternative to traditional scientific roles (e.g. postdoc) and provides an ideal environment to establish a career in computational research or software engineering. The position aims at developing qualifications and experience in computational research and professional software engineering in a research environment that enables the candidate to pursue their future career in science or industry. For each project, the SCA will be paired with an experienced software engineer and a member from the specific lab, often the lab head, to quickly learn techniques and about the project itself. The developed software will be openly accessible and the SCA will have the opportunity to become a lead contributor and to potentially publish results. The SCA position is a time-limited appointment for 12 to 24 months, with discretionary renewal for a 12-month term (maximum of 36 months in total). What We Provide: ·A competitive compensation package, with comprehensive health and welfare benefits. ·The opportunity to collaborate with skilled scientists and software engineers and work alongside computational and experimental enthusiasts ·The ability to work as an independent scientist ·An exciting and inspiring work environment at HHMI Janelia What You’ll Do: We are seeking an SCA to join our team at HHMI Janelia to lead a project aimed at /in silico/ biophysical modeling of extracellular ion dynamics in the mammalian brain. Dr. Kayvon Pedram <https://www.pedramlab.com/> will provide mentorship on biochemical aspects of the work; Dr. Ahmed El Hady <https://www.ab.mpg.de/person/111828/2736> will provide mentorship in theoretical neuroscience; and Dr. Stephan Preibisch <https://www.janelia.org/people/stephan-preibisch> and his team will provide mentorship in algorithm development and software engineering. Successful candidates will be interested in exerting intellectual and operational freedom to tackle research objectives at the intersection of these three fields. In brief, neurons convey information through electric pulses, which are generated by rapid ion transport between the cell’s interior and the local extracellular environment. These action potentials propagate from one neuron to the next via chemical synapses, where neurotransmitter-containing vesicles are released into the extracellular space for detection by neighboring neurons. The process of neurotransmitter release itself depends on a rapid, synaptically localized calcium exchange with the extracellular environment. While it is widely understood that transmembrane ion gradients are a crucial aspect of the biophysics that underlies communication within neuronal networks, there is a much more limited understanding of how molecules in the extracellular space, which are heterogenous and actively remodeled throughout the brain, contribute to neuronal communication over a variety of spatial and temporal scales. You will build theoretical frameworks and computational models to explore how extracellular factors, such as ion-ion interactions and mechanical perturbations, influence the diffusion of charged molecules, and subsequently, neuronal excitability. You can expect a close, bidirectional relationship between your theory/modeling efforts and experiments ongoing in the lab and will have the opportunity to test theoretical predictions in the laboratory, if desired. A detailed project description and bibliography will be provided to candidates at the interview stage. What You Bring: ·M.S. or Ph.D. in Computer Science, Physics, Neuroscience, or related fields (e.g., Biology, Chemistry, Engineering). ·Extensive coding experience ·Collaborative and collegial attitude toward staff at all levels. For more information and application , please check here: https://hhmi.wd1.myworkdayjobs.com/en-US/External/job/Janelia-Research-Camp… <https://hhmi.wd1.myworkdayjobs.com/en-US/External/job/Janelia-Research-Camp…>

Oct. 3, 2023

Tenure-track Assistant Professor position in Mathematical and Statistical Foundations of Big Data at Georgia State University

by Yaroslav Molkov

The Department of Mathematics and Statistics at Georgia State University invites applications to fill a tenure-track Assistant Professor position in Mathematical and Statistical Foundations of Big Data with a start date of August 2024. Candidates in all areas of mathematics and statistics related to big data analysis and processing are encouraged to apply. Essential Qualifications: - Ph.D. in Mathematics, Statistics, Data Science, or a closely related field; - Ability to teach core undergraduate and graduate mathematics and/or statistics courses; - Experience in research and teaching in the field of mathematical and statistical foundations of big data. Preferred Qualifications: - Strong desire to work in a cross-disciplinary, collaborative environment; - An experience in supervising undergraduate and graduate students. The Department offers BS in Mathematics, MS in Mathematics with no concentration or concentrations in Bioinformatics, Biostatistics, Discrete Mathematics, Scientific Computing, Statistics, Applied Mathematics, as well as Statistics and Allied Fields, and Ph.D. in Mathematics and Statistics with concentrations in Mathematics, Applied Mathematics, Bioinformatics, and Biostatistics. Faculty members in the department have established nationally and internationally recognized research programs in both mathematics and statistics, including applied statistics, biostatistics, data science, dynamical systems, complex networks, machine learning, inverse problems, mathematical biology, optimization, computational mathematics, systems biology, modeling neural, cardiovascular, and multi-organ systems, physical and biomedical image analysis. Additionally, the Department collaborates with other GSU departments in epidemiology, pathogen genetics, immunology, inflammation, and translational biomedical sciences. For more information, please visit our website at https://www.mathstat.gsu.edu/. GSU, the largest university in Georgia, is an enterprising urban R1 research university located in downtown Atlanta and home to one of the most diverse student bodies in the country. It is a national leader in applying innovative measures to drive student success and research growth, as well as generating innovative research. Applicants should submit: 1) a cover letter outlining qualifications and research interests, 2) a curriculum vitae with a publication list and (optional) a teaching and funding list, 3) a research statement, including current and future research agenda, and 4) a teaching statement with evidence of aptitude or ability to teach at the undergraduate and graduate levels. All materials should be submitted online at http://www.mathjobs.org. Applicants should also arrange for three letters of recommendation to be submitted online at http://www.mathjobs.org. A formal review of applications will begin on November 15, 2023, and will continue until the position is filled. An offer of employment will be conditional upon background verification. Georgia State University is an Equal Opportunity Employer and does not discriminate against applicants due to race, ethnicity, gender, veteran status, or on the basis of disability or any other federal, state, or local protected class.

Oct. 3, 2023

lecture notes published

by Michael Biehl

Dear colleagues. My lecture notes "The Shallow and the Deep - A biased introduction to neural networks and old school machine learning" have been published by University of Groningen Press: https://books.ugp.rug.nl/index.php/ugp/catalog/book/130 The book is available as open access e-pub (pdf) and non-profit print-on-demand (softcover) from various sources, see https://www.cs.rug.nl/~biehl/mpubl.html for some links. Best wishes, Michael -- --------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science & Artificial Intelligence P.O. Box 407, 9700 AK Groningen, NL https://www.cs.rug.nl/~biehl m.biehl(a)rug.nl

Oct. 3, 2023

Call for Participation COMPLEX NETWORKS 2023 Menton France November 28 - 30, 2023

by Hocine Cherifi

*12th** International Conference on Complex Networks & Their Applications* *Menton Riviera* <https://www.menton-riviera-merveilles.co.uk/>*, France *November 28 - 30, 2023 COMPLEX NETWORKS 2023 <http://www.complexnetworks.org/> *Registration:* https://complexnetworks.org/registration/ Early registration deadline: *October 13, 2023* *KEYNOTE SPEAKERS* Michael Bronstein <https://www.cs.ox.ac.uk/people/michael.bronstein/>* - *Univ. of Oxford UK - *Physics-inspired Graph Neural Networks* <https://complexnetworks.org/keynote-speakers-3/> Kathleen Carley <https://www.cylab.cmu.edu/directory/bios/carley-kathleen.html> - Carnegie Mellon Univ. USA - *Coupling in High Dimensional Networks* <https://complexnetworks.org/keynote-speakers-3/> Manlio De Domenico <https://manliodedomenico.com/> Univ. of Padua Italy: *An Emerging Framework for the Functional Analysis of Complex* <https://complexnetworks.org/keynote-speakers-3/>* Interconnected Systems* Danai Koutra <http://web.eecs.umich.edu/~dkoutra/> - Univ. of Michigan USA - *Advances in Graph Neural Networks: Heterophily and Beyond* <https://complexnetworks.org/keynote-speakers-3/> Romualdo Pastor-Satorras <http://www.fen.upc.edu/~romu/> - UPC Spain - *Opinion Depolarization in Interdependent Topics and the Effects of Heterogeneous Social Interactions* <https://complexnetworks.org/keynote-speakers-3/> Tao Zhou <https://scholar.google.com/citations?user=MXgWgmEAAAAJ&hl=en> - USTC China - *Recent Debates in Link Prediction* <https://complexnetworks.org/keynote-speakers-3/> *TUTORIALS (November 27, 2023)* Tiago de Paula Peixoto <https://skewed.de/tiago> - CEU Vienna Austria - *Network Inference and Reconstruction* <https://complexnetworks.org/tutorials/> Maria Liakata <https://www.turing.ac.uk/people/researchers/maria-liakata> - Queen Mary University of London UK - *Longitudinal language processing from user generated content* <https://complexnetworks.org/tutorials/> Best regards, and looking forward to seeing you at COMPLEX NETWORKS 2023. Hocine Cherifi, Luis M. Rocha COMPLEX NETWORKS 2023 General Chairs Join us at COMPLEX NETWORKS 2023 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science <https://appliednetsci.springeropen.com/> Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

Oct. 3, 2023

COSYNE 2024: Meeting announcement; Call for Abstracts

by Tomas Hromadka

==================================================== Computational and Systems Neuroscience 2024 (Cosyne) MAIN MEETING 29 February - 03 March 2024 Lisbon, Portugal WORKSHOPS 04 March - 05 March 2024 Cascais, Portugal 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 19 November 2023. 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: 04 October 2023 Abstract submission deadline: 19 November 2023 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: Jessica Cardin (Yale) and Blake Richards (McGill) Program Chairs: Bing Brunton (U Washington) and Chandramouli Chandrasekaran (Boston U) Workshop Chairs: SueYeon Chung (NYU) and Andrew Saxe (Oxford) Tutorial Chair: Il Memming Park (Champalimaud) DEIA Committee: Hysell Oviedo (Washington U) and Luke Sjulson (Albert Einstein) Fundraising Chair: Michael Long (NYU) Social Media Chair: Sabera Talukder (Caltech) Audio-Video Media Chair: Carlos Stein Brito (EPFL) Poster Design: Maja Bialon PROGRAM COMMITTEE Bing Brunton (U Washington) Co-chair Chandramouli Chandrasekaran (Boston U) Co-chair Alex Cayco Gajic (Ecole Normale Superieure) Hannah Choi (Gatech) Brian DePasquale (Boston U) Sridhar Devarajan (Indian Inst Sci) Laura Driscoll (Stanford) Ann Duan (UCL) Lea Duncker (Stanford) Annegret Falkner (Princeton) Juan Gallego (Imperial) Matthew Golub (U Washington) Kameron Harris (W Washington U) Santiago Jaramillo (U Oregon) Jonathan Kao (UCLA) Ann Kennedy (Northwestern) Guillaume Lajoie (MILA) Camilo Libedinsky (National U Singapore) Scott Linderman (Stanford) Ashok Litwin-Kumar (Columbia) Emily Mackevicius (Basis) Leenoy Meshulam (U Washington) Jonathan Michaels (York U) James Murray (U Oregon) Hendrikje Nienborg (NIH) Gouki Okazawa (Chinese Acad Sci) Chethan Pandarinath (Emory) Il Memming Park (Champalimaud) Hannah Payne (Columbia) Talmo Pereira (Salk) Supratim Ray (Indian Inst Sci) Erin Rich (Mount Sinai) Ben Scott (Boston U) Alireza Soltani (Dartmouth) Nicholas Steinmetz (U Washington) Marie Suver (Vanderbilt) Aparna Suvrathan (McGill) 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.

Sept. 30, 2023

Open PhD position - Spiking Neural Networks for scalable learning neuromorphics

by Robert Legenstein

The Lab of Robert Legenstein at Graz University of Technology (Austria) is offering a funded PhD position in the areas Spiking Neural Networks/Machine Learning/Brain Models/Neuromorphic Hardware. A background in Machine Learning, Computer Science, or Mathematics is desirable, as well as evidence for excellent prior performance as a student. The successful candidate will work on learning algorithms for spiking neural networks in the international consortium of the international project "Scalable Learning Neuromorphics". We will develop in this project learning algorithms for spiking neural networks for memristive hardware implementations. Please send your application including a CV, any prior thesis and/or work by October 20 to robert.legenstein(a)igi.tugraz.at Scalable Learning Neuromorphics project description: This project aims to develop scalable Spiking Neural Networks (SNNs) by leveraging the integration of 3D memristors, thereby overcoming limitations of conventional Artificial Neural Networks (ANNs). Positioned at the intersection of artificial intelligence and brain-inspired computing, the initiative focuses on innovative SNN training methods, optimizing recurrent connections, and designing dedicated hardware accelerators. These advancements will uniquely contribute to scalability and energy efficiency. The endeavor addresses key challenges in event-based processing and temporal coding, aiming for substantial performance gains in both software and hardware implementations of artificial intelligence systems. Expected research outputs include novel algorithms, optimization methods, and memristor-based hardware architectures, with broad applications and potential for technology transfer. -- Dr. Robert Legenstein Univ.-Professor Institute of Theoretical Computer Science Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria https://www.tugraz.at/institute/igi/people/prof-legenstein/ Follow @CompLegenstein on Twitter. ++43/316/873-5824 ----------------------------------

Sept. 29, 2023

Postdoc position on signal processing, AI and software for a closed-loop epilepsy, CLINATEC, Grenoble, France

by COSTECALDE Thomas

We are seeking a highly motivated Postdoc to join the Epilepsy<https://www.cimec.unitn.it/en/929/action-recognition-and-concepts-group> program at Clinatec, France (Grenoble). The fellowship will investigate algorithmic approaches to detecting pre-ictal phenomena (interictal spikes) associated with the occurrence of seizures, using the PNH-penicillin model or other acute models. Seizure prediction is an essential part of the cooling approach-maximizing efficacy while reducing technical constraints. PhD or equivalent with strong knowledge in time-series, machine learning, signal processing, with strong skills in Python. Some experience in manipulating large data and working on clusters (slurm) is an advantage. Otherwise, a basic knowledge of the Unix command line basics is required. Ability to work autonomously. The position will be for 3 years and open now. Please send your expression of interest to malvina.billeres(a)cea.fr<mailto:malvina.billeres@cea.fr> and get in touch if you have any questions. We look forward to hearing from you! Thanks Dr Costecalde Thomas Here is the full description : Title: Post-doctoral fellow (H/F) signal processing, AI and software for a closed-loop epilepsy treatment application using focal cooling, seizure prediction and detection. Context: Epilepsy remains one of the most common neurological disease. This pathology has an incidence of 50 to 100 000 new cases per year and affects around 50 million people worldwide.Antiepileptics drugs are currently the gold treatment but they are effective only in 60-70% of patients. For several years, nonpharmacological potential new treatments have been investigated including an interesting new approach using focal cooling. In the literature, some results in preclinical models have shown that a cooling at 21°C can reduce the frequency of epileptic seizures. The postdoctoral fellowship will be carried out at Clinatec, in Grenoble, France. We have started a programme focused on focal cooling treatment. Our aim is to develop a medical device delivering a focal cooling to deep brain regions such as the hippocampus to treat epilepsy. We have therefore developed a preclinical implantable device to deliver this cooling in order to obtain information concerning the parameters needed to reduce seizures (target temperature, duration...). The fellowship will investigate algorithmic approaches to detecting pre-ictal phenomena (interictal spikes) associated with the occurrence of seizures, using the PNH-penicillin model or other acute models. Seizure prediction is an essential part of the cooling approach-maximizing efficacy while reducing technical constraints. The candidate will work closely with a neurosurgeon, who will provide neuroscientigic expertise, as well as a PhD student (biology). The laboratory also includes engineers, clinicians and a signal processing team. Missions will include, * Labelling of the different brain signals occurring in epilepsy (seizure, pre-ictal, interictal, post-ictal...). * Statistical analysis and hypothesis testing of the data. * Online closed loop optimization of seizure prediction/forecasting algorithms. * Detection of anomalies (HFO, fast ripples, phase coupling) for prediction and forecasting. * Testing of adaptive algorithms for prediction and forecasting (preclinical/clinical database): effects of cooling on algorithm performance. * Integration of other measurements (temperature...) in algorithm prediction. * Maintenance and improvement of experiment software Profil of candidate: PhD or equivalent with strong knowledge in time-series, machine learning, signal processing, with strong skills in Python. Some experience in manipulating large data and working on clusters (slurm) is an advantage. Otherwise, a basic knowledge of the Unix command line basics is required. Ability to work autonomously.

Sept. 29, 2023

The Purdue CCNLAB is recruiting a new graduate student for Fall 2024!

by Helie, Sebastien

Dr. Sébastien Hélie is looking for new graduate students interested in problem solving, decision-making, or cognitive control. Dr. Hélie supervises students in the Mathematical & Computational Psychology (MCP) program, the Cognitive Psychology program, and the Neuroscience and Behavior program. This year, priority will be given to applications in the MCP program, but my interest is to recruit the best applicant regardless of which program the applicant is from. The Department of Psychological Sciences at Purdue University is consistently ranked among the top 50 in the US, and the CCNLAB has been doing cutting-edge research using various behavioral, neuroscientific, and computational methodologies. Interested students should contact Prof. Hélie at shelie(a)purdue.edu. ----------------------------------------------------------------- Sébastien Hélie, Ph.D. Professor of Psychological Sciences Director of CEREBBRAL -- Offices: PRCE 359 Phone: (765) 496-2692 Website: http://ccn.psych.purdue.edu/ -----------------------------------------------------------------

Sept. 29, 2023

Postdoc position on predictive representation / dynamic RSA, CIMeC, Uni Trento, Italy

by Moritz Wurm

We are seeking a highly motivated Postdoc to join the Action Recognition and Concepts Group <https://www.cimec.unitn.it/en/929/action-recognition-and-concepts-group> at CIMeC (Center for Mind/Brain Sciences), University of Trento, Italy. The research project will focus on a MEG-based dynamic extension to representational similarity analysis (dynamic RSA <https://www.nature.com/articles/s41467-023-39355-y>) that we have recently developed in our lab to investigate predictive representations of dynamic events. The successful candidate should have a background in cognitive neuroscience (preferably in action and/or perception, M/EEG or fMRI, MVPA/RSA) and strong programming skills (preferably Matlab). The position will be for 2 years and probably open in beginning of 2024. Please send your expression of interest to moritz.wurm(a)unitn.it <mailto:moritz.wurm@unitn.it> and get in touch if you have any questions. We look forward to hearing from you! Best wishes, Moritz Wurm

Sept. 29, 2023

Modellers Workshop for the Brain Dynamics Toolbox (Final Call)

by Stewart Heitmann

Final call for the Modeller’s Workshop for the Brain Dynamics Toolbox. The Modeller’s Workshop is an online course for researchers, students and instructors who wish to build custom dynamical models using the Brain Dynamics Toolbox. Topics include programming Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. Study time is 8 hours. Course Website https://bdtoolbox.teachable.com/p/modellers-workshop Toolbox Website https://bdtoolbox.org Important Information Enrolments close Sat 30th Sep 2023. Disclaimer The information contained in this communication from the sender is confidential. It is intended solely for use by the recipient and others authorized to receive it. If you are not the recipient, you are hereby notified that any disclosure, copying, distribution or taking action in relation of the contents of this information is strictly prohibited and may be unlawful. This email has been scanned for viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business. Providing a safer and more useful place for your human generated data. Specializing in; Security, archiving and compliance. To find out more visit the Mimecast website.

Sept. 29, 2023

Organization for Computational Neurosciences - call for self-nominations to the Board of Directors

by Rubchinsky, Leonid L

Dear Colleagues, The Organization for Computational Neurosciences is inviting self-nominations for the OCNS Board of Directors election. New Directors will serve a three-year term from January 2024 through December 2026. Candidates are required to be an OCNS members for at least a year or to attend an on-site annual CNS meeting in the past. More information about the new Directors’ election can be found at https://www.cnsorg.org/election-procedures The deadline for application is October 11, 2023. Best regards, OCNS Board of Directors

Sept. 28, 2023

Two Computational Neuroscience Faculty Positions at UChicago

by Brent Doiron

Dear Computational Neuroscience Community The University of Chicago's Grossman Center for Quantitative Biology and Human Behavior seeks to recruit faculty in computational/theoretical neuroscience into the Department of Neurobiology within the Biological Sciences Division or the Department of Physics in the Physical Sciences Division. Appointees will be core members of the Grossman Center for Quantitative Biology and Human Behavior and will lead a ‘dry’ computational lab alongside a growing group of other computational neuroscientists. Appointments will be made in an appropriate primary department (Neurobiology or Physics) based on field and experience, with secondary appointment(s) in another unit possible. Academic rank and compensation (including a generous package of fringe benefits) are dependent upon qualifications. We especially welcome applicants who are developing computational models and analysis methods at the cellular, circuits, systems, or cognitive levels from all relevant academic disciplines including physical and biological sciences. Appointees will be expected to establish deep and extensive collaborations with the vibrant experimental neuroscience community at the University of Chicago. The University of Chicago is currently engaged in a major expansion in neuroscience, with computational neuroscience being an area of focus. The University offers a rich intellectual environment that includes a strong translational neuroscience community and affiliations with Argonne National Laboratory and the Data Science Institute. The Divisions, other academic units of the University, and the School of Medicine, are all contained within one compact campus in Chicago's Hyde Park. Appointees will have access to state-of-the-art core facilities and to outstanding colleagues and graduate students affiliated with numerous degree-granting programs within and outside the biological sciences. Prior to the start of employment, qualified applicants must have a Ph.D. or equivalent. Application Instructions: Applications must be submitted through the University of Chicago’s Academic Recruitment job site: http://apply.interfolio.com/133134. Review of applications will begin on November 1, 2023, and continue until all positions are filled. Best Brent Doiron -- Heinrich Kluver Professor of Neurobiology and Statistics Director of the Grossman Center for Quantitative Biology and Human Behavior Chair for the Committee on Computational Neuroscience University of Chicago Chicago IL https://brainmath.bsd.uchicago.edu/

Sept. 28, 2023

Postdoctoral Associate Position in Cardiac-Cortical Circuit Modelling at the Group for Neural Theory and LNC2, Ecole Normale Superieure, Paris.

by Boris

A three-year post-doctoral position in theoretical neuroscience is open to explore the mechanisms of interaction between interoceptive cardiac and exteroceptive tactile inputs at the cortical level. We aim to develop and validate a computational model of cardiac and of a somatosensory cortical circuit dynamics in order to determine the conditions under which interactions between exteroceptive and interoceptive inputs occur and which underlying mechanism (e.g., phase-resetting, gating, phasic arousal,..) best explain experimental data. The ideal candidate should have a doctoral degree in quantitative discipline (e.g. applied mathematics, physics, engineering) and previous experience with dynamic system approaches to neural function , modelling cortical neural circuits, excellent programming skills coupled with an interest for, and a willingness to learn about, interoception and its influences on neural dynamics, perception and cognition. The candidate will have a unique opportunity to join the project at its very inception and take a key role in the technical and conceptual development. The postdoctoral fellow will be based at the Group for Neural Theory <https://gnt.dec.ens.fr/en> at LNC2 <https://lnc2.dec.ens.fr/en> , in Boris Gutkin’s team <https://lnc2.dec.ens.fr/en/teams/mathematics-neural-circuits> with strong interactions with Catherine Tallon-Baudry’s team <https://lnc2.dec.ens.fr/en/research/teams/subjectivity-brain-and-viscera-45…>. LNC2 is located in the center of Paris within the Cognitive Science Department <https://cognition.ens.fr/en> at Ecole Normale Supérieure <https://www.ens.psl.eu/en>, with numerous opportunities to interact with the Paris scientific community at large, in a stimulating and supportive work environment. Group for Neural Theory provides a rich environment and local community for theoretical neuroscience. Lab life is in English, speaking French is not a requirement. Salary according to experience and French rules. Starting date is first semester 2024. Informal enquiries and applications (CV, motivation letter and contacts for reference) should be sent to boris.gutkin(a)ens.psl.eu <mailto:boris.gutkin@ens.psl.eu> and catherine.tallon-baudry(a)ens.psl.eu <mailto:catherine.tallon-baudry@ens.psl.eu>. Applications can be sent immediately but application evaluation will begin on Oct 25th, 2023. Applications received after Oct 25th will be evaluated on the fly, the position remaining open until filled. Boris Gutkin, PhD Research Director CNRS Group for Neural Theory LNC2, INSERM U 960 Department of Cognitive Studies Ecole Normale Superieure Paris. France boris.gutkin(a)ens.fr

Sept. 28, 2023

PhD student in Amsterdam on embodied decision-making

by Bernadette van Wijk

Dear colleagues, Within the Neurocontrol section at the Department of Human Movement Sciences, Vrije Universiteit Amsterdam, we are looking for a PhD candidate on the topic of embodied decision-making. The candidate will work at the intersection between cognition and motor control. With clever experimental designs and a strong focus on EEG time series analysis, and neural and cognitive modelling, we aim to dig into the neural mechanisms of perceptual decision making. The 4-year project will be supervised by Dr. Bernadette van Wijk, Dr. Rob van Beers, and Prof. Jeroen Smeets. Requirements: - MSc degree in human movement sciences or a related field such as (cognitive or computational) neuroscience, psychology, or biomedical engineering - Affinity with the research topics motor control and perceptual decision-making - Prior experience with conducting behavioural experiments in human participants - Prior experience with time series analysis and statistical modelling - Comfortable with programming in Matlab and/or Python - Prior experience with conducting and analyzing EEG experiments is desired For more information and to apply, please see: https://workingat.vu.nl/ad/phd-position/d6jrlg PhD position: The neural mechanisms of Embodied decision-making - 4. Working at VU workingat.vu.nl Best, Bernadette van Wijk Assistant Professor Department of Human Movement Sciences Vrije Universiteit Amsterdam The Netherlands

Sept. 28, 2023

UniReps Workshop on Unifying Representations in Neural Models, NeurIPS 2023, DEADLINE 04 Oct

by Clementine Domine

We are thrilled to announce the first edition of the UniReps Workshop on Unifying Representations in Neural Models <https://unireps.org/>! To be held on Dec 15, 2023 at NeurIPS 2023 <https://nips.cc/>, New Orleans, USA. Our workshop aims to explore the emergence of similar representations from diverse neural models, both artificial and biological, when exposed to similar stimuli. We will investigate this phenomenon’s reasons, conditions, and methods and explore the potential for unifying these representations into a shared framework. Additionally, we will delve into exciting applications such as model merging, stitching, and reusing independently trained modules.*Our primary objective is to foster collaboration and idea exchange among Machine Learning, Neuroscience, and Cognitive Science researchers. We aim to create a platform for interdisciplinary discussions and collaborations by bringing together experts from diverse backgrounds. Check our **Call For Papers <https://unireps.org/call-for-papers/>** below.* *For any additional information check our **website <https://unireps.org/>* *, **Twitter profile <https://twitter.com/unireps>**, **Slack workspace <https://join.slack.com/t/unirepsunifyi-stf5976/shared_invite/zt-22vr60uon-G…>**, or contact us at **unireps.organizers(a)gmail.com**.**Call For Papers* Neural models, whether in biological or artificial systems, tend to learn similar representations when exposed to similar stimuli. This phenomenon has been observed in various scenarios, e.g., when individuals are exposed to the same stimulus or in different initializations of the same neural architecture. Similar representations occur in settings where data is acquired from multiple modalities (e.g., text and image representations of the same entity) or when observations in a single modality are acquired under different conditions (e.g., multiview learning). The emergence of these similar representations has sparked interest in the fields of Neuroscience, Artificial Intelligence, and Cognitive Science. This workshop aims to get a unified view on this topic and facilitate the exchange of ideas and insights across these fields, focusing on three key points: When: Understanding the patterns by which these similarities emerge in different neural models and developing methods to measure them. Why: Investigating the underlying causes of these similarities in neural representations, considering both artificial and biological models. What for: Exploring and showcasing applications in modular deep learning, including model merging, reuse, stitching, efficient strategies for fine-tuning, and knowledge transfer between models and across modalities. *Topics* A non-exhaustive list of the preferred topics includes: - Model merging, stitching, and reuse - Representational alignment - Identifiability in neural models - Symmetry and equivariance in NNs - Learning dynamics - Disentangled representations - Multiview representation learning - Representation similarity analysis - Linear mode connectivity - Similarity-based learning - Multimodal learning - Similarity measures in NNs *Important Dates* - Paper submission deadline: Oct 04, 2023 – Submit on OpenReview <https://openreview.net/group?id=NeurIPS.cc/2023/Workshop/UniReps> - Final decisions to authors: Oct 27, 2023 *Tracks* Submissions to the workshop are organized in two tracks, both requiring novel and unpublished results: an Extended abstract track, which will address early-stage results, insightful negative findings, opinion pieces, and a Proceedings track, which will address complete papers to be published in a dedicated workshop proceedings volume. Both tracks will be included in the workshop poster session to give an opportunity to authors to present their work, and a subset of the submissions will be selected for a spotlight talk session during the workshop.*Paper Format* The full paper submissions must be at most 9 pages long (excluding references and supplementary materials) and anonymized. We will follow the Neurips general conference submission criteria for papers - for details please see: NeurIPS Call For Papers <https://nips.cc/Conferences/2023/CallForPapers>. As a note, the reviewers will not be required to review the supplementary materials, so ensure your paper is self-contained. For the extended non-archival abstracts please use the same template but limit the submission to 4 pages, excluding references. The submission site will have an option to differentiate full papers and extended abstracts. Please make sure to use the NeurIPS LaTeX template <https://media.neurips.cc/Conferences/NeurIPS2023/Styles/neurips_2023.tex> and style file <https://media.neurips.cc/Conferences/NeurIPS2023/Styles/neurips_2023.sty>. *Clementine Domine* *Gastby Computational Neuroscience Unit Phd Student* On the behalf of the Unireps committee

Sept. 27, 2023

NITMB Fellows Program

by William L. Kath

Dear Colleagues and Friends, We are excited to announce the launch of the National Institute for Theory and Mathematics in Biology <https://new.nsf.gov/news/new-50-million-institute-aims-use-power-math-model>! This joint venture between Northwestern University and the University of Chicago is funded by the NSF and Simons Foundation and will form a hub for research at the interface of mathematics and biology. The NITMB <https://www.nitmb.org/> will support research projects in the Chicagoland area plus a wider network of collaborators, and will also host long programs to bring researchers from around the globe together to tackle how biological systems operate, focusing on mathematical theories, modeling, algorithms, and computational approaches. We are also excited to begin recruiting talented independent postdoctoral researchers to the NITMB, and we’d like your help spreading the word. Attached you will find our call for applications tothe NITMB Fellows <https://www.nitmb.org/nitmb-fellows> Program. These are three year positions for postdocs, who can function with a large amount of autonomy at the NITMB. We hope you’ll share this broadly. Cheers, The NITMB team ---------------------------- The newly formed NSF-Simons National Institute for Theory and Mathematics in Biology (NITMB), jointly hosted by Northwestern University and the University of Chicago, invites applications for the 2024-2027 NITMB Fellows Program. We seek remarkable early-career researchers, who will have completed a doctoral degree in Mathematics, Physics, Computer Science, Engineering, Biology or related fields by September 2024. This opportunity is open to researchers who want to develop theory and computational approaches to study any area of biology. Under the mentorship of NITMB leadership, fellows will develop an independent research program aligned with the Institute’s interest in the constraints and capabilities of living systems, fostering collaborations with NITMB members or others outside the Institute. This three-year fellowship offers a competitive salary and generous research stipend. The goal of the fellowship is to empower an early-career scholar to define their research path, either independently or in close collaboration with members across various departments, including Biological Sciences, Mathematics, Physics, Computer Science, and Engineering. Appointments can start as early as February 1, 2024 but no later than September 1, 2024, and will be at the internal University rank of Postdoctoral Scholar. This position is open to individuals who are less than seven years post attainment of their Ph.D. degree. NITMB Fellows will be part of a thriving intellectual community with no teaching obligations, allowing full dedication to groundbreaking research. There are opportunities to participate in NITMB-sponsored outreach programs. Candidates must apply by emailing their application documents to Nitmb_fellows(a)nitmb.org, and will be asked to provide the following documents: cover letter, curriculum vitae, list of publications and preprints, and a description of research interests to be pursued at the NITMB. In addition, at least three letters of recommendation must be received from faculty members or senior research scientists who are active in the field of study in question. These should be sent by email to nitmb_fellows(a)nitmb.org with the candidate’s last name in the subject line. The required materials and the letters of reference must be received by November 1, 2023. We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages diverse perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange. The Universities’ Statements on Diversity are at https://www.northwestern.edu/diversity/about/mission-and-vision/ and https://provost.uchicago.edu/statements-diversity. Northwestern University and the University of Chicago are Affirmative Action/Equal Opportunity/Disabled/Veterans Employers and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the Universities’ Notices of Nondiscrimination. Northwestern strongly recommends COVID-19 vaccinations and boosters for people who can obtain them as a critical tool for minimizing severe illness. More information can be found on the COVID-19 and Campus Updates webpage. The Northwestern campus sits on the traditional homelands of the people of the Council of Three Fires, the Ojibwe, Potawatomi, and Odawa as well as the Menominee, Miami and Ho-Chunk nations. We acknowledge and honor the original people of the land upon which Northwestern University stands, and the Native people who remain on this land today.

Sept. 27, 2023

Postdoc in Barcelona

by Quian Quiroga, Rodrigo (Prof.)

***Apologies for multiple postings*** We are looking for a postdoc to study single cell recordings in humans, performed in epileptic patients for curative surgery. The position will be in the recently established group of Prof. Quian Quiroga at the Hospital del Mar Research Institute, in Barcelona (https://www.imim.es<https://www.imim.es/>). The project will investigate concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons in the hippocampus and surrounding areas that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga, Cell 2019), which are involved in declarative memory functions. For more details see: https://web.archive.org/web/20220108024112/https://www2.le.ac.uk/centres/cs…<https://web.archive.org/web/20220108024112/https:/www2.le.ac.uk/centres/csn…> The successful candidate will contribute to performing recordings with patients and the analysis / modelling of the data to investigate the role of these neurons in memory. The candidate should have very good quantitative skills (data processing and programing, e.g. in Matlab) and a strong background or interest in neuroscience. Informal enquiries are welcome and should be made to Prof. Rodrigo Quian Quiroga (rquian(a)imim.es) To apply see instructions in this link: https://www.imim.es/ofertes/es_detall-oferta-temporals.html?id=2343 Review of applications will start on the 2nd October 2023, and will continue until the position is filled. Best, Rodrigo Quian Quiroga

Sept. 27, 2023

Tenure-track Assistant Professor Position in Quantitative Methods (Psychology) at the University of Florida

by Steve Weisberg

*Full link to job description and application: Apply Now! <https://explore.jobs.ufl.edu/en-us/job/528656/assistant-professor-in-psycho…> <https://secure.dc4.pageuppeople.com/apply/674/gateway/default.aspx?c=apply&…>* The Department of PSYCHOLOGY at the UNIVERSITY OF FLORIDA, College of Liberal Arts and Sciences, invites applications for a full-time, nine-month, tenure-accruing, OPEN-AREA Assistant Professor with special emphasis in QUANTITATIVE METHODS, beginning August 16, 2024. We encourage applications from any research orientation in psychology and the position is open to candidates who employ a wide variety of methodological tools or approaches (including, but not limited to, computational modeling, statistics, artificial intelligence, structural equation modeling, multilevel modeling, network analysis, and longitudinal data analysis). Applicants will be expected to maintain an outstanding program of research with high potential for external funding, teach psychology graduate and undergraduate courses, advise students, and provide service to the institution. The Department of Psychology values interdisciplinary approaches to research and training, and strongly encourages collaboration across its five programs (behavior analysis, behavioral and cognitive neuroscience, counseling, social, and developmental psychology). An ideal candidate would bring methodological expertise that contributes to and enhances the research profile and extramural funding of one or more of these programs. For more information about our department see http://www.psych.ufl.edu and the University of Florida see https://www.ufl.edu. This search is also connected to a campus-wide effort by the University of Florida to expand the role of artificial intelligence in higher education and research (https://ai.ufl.edu) The University is home to HiPerGator, one of the most powerful high-performance computers at a US public university (https://www.rc.ufl.edu/about/hipergator/) A member of the prestigious Association of American Universities (AAU), the University of Florida is the state’s oldest and most comprehensive land-, sea-, and space-grant university, with an enrollment of over 50,000 students. In 2023, the University of Florida was ranked the first and sixth-best public university in the United States by *The Wall Street Journal* and *U.S. News & World Report*, respectively, with exceptional research, teaching, and a university-wide commitment to diversity. For full consideration, applications must be submitted online. Click on Apply Now at the top of this posting. A complete application includes: 1. Cover letter that includes information regarding the candidate’s experience, interest, and expertise in Quantitative Psychology (1-2 pages) 2. Curriculum vitae 3. Statement of research interests and plans (2-3 pages) 4. Statement of teaching experience, interests, and philosophy (1-2 pages) 5. Up to three reprints or pre-prints 6. Contact information for three individuals who have agreed to provide a letter of recommendation (*letters will be requested for shortlisted candidates only*) Review of applications will begin on *October 15, 2023* and will continue until the position is filled. Questions about the position may be directed to Natalie Ebner and Greg Webster, search committee co-chairs at natalie.ebner(a)ufl.edu or gdwebs(a)ufl.edu. -- --------------------------------------------- *Steven M. Weisberg, PhD * Pronouns: he/him/his Assistant Professor of Psychology University of Florida Director: SCANN Lab <http://scannlab.psych.ufl.edu>

Sept. 26, 2023

postdoc positions in cognitive control and brain-computer interface (UTSW Neurosurgery)

by Zhongzheng Fu

Two postdoc positions are available in the laboratory of Zhongzheng Fu in the Department of Neurological Surgery, University of Texas Southwestern Medical Center. We study the neural mechanisms of cognitive control using mathematical modeling and human neurophysiology. We have several ongoing projects in the lab that include probing the network activity underlying cognitive control, the neuronal mechanisms for metacognition in decision making and artificial cognitive control. We aim to develop novel approaches to restore cognitive control in various psychiatric/neurological conditions, develop efficient brain-computer interface and ultimately enhance cognitive control in healthy individuals. Applicants who are intellectually curious and passionate about tackling challenging neuroscience problems using a combination of approaches (behavioral modelling, machine learning, intracranial recordings, neuromodulation, EEG/MEG) are encouraged to apply. Postdoctoral scientist in the lab will conduct cutting-edge research in a protected, interactive, highly collaborative, and well-funded environment, with access to state-of-the-art platforms such as intracranial recordings in various patient populations, EEG/MEG, high-performance computing sources. Qualifications for this position include Ph.D. or M.D. degree(s). Applicants who have excellent coding skills (python, MATLAB, R) and a strong background in statistics, machine learning, deep learning and signal processing are particularly encouraged to apply. Interested applicants should submit the following documents to Zhongzheng.Fu AT UTSouthwestern.edu 1. A Cover Letter describing your interest in this position. 2. A CV listing your education, training background, publications, awards, and skill sets. 3. Contact information for references For more information, please visit our lab website at https://zfu-lab.org. Zhongzheng Fu, Ph.D. Assistant Professor Department of Neurological Surgery, UT Southwestern Medical Center ________________________________ UT Southwestern Medical Center The future of medicine, today.

Sept. 26, 2023

Jobs at Flatiron Institute (CCN) and NYU (Center for Neural Science)

by SueYeon Chung

Dear Colleague, The Neuro-AI and Geometric Data Analysis Lab at NYU and the Flatiron Institute (PI: SueYeon Chung) are seeking postdoc fellows, grad students, and a full-time research assistant. We have multiple positions with flexible start dates. Our lab is situated in the heart of downtown New York City, operating jointly at NYU's Center for Neural Science and the Center for Computational Neuroscience at the Flatiron Institute, a research institution within the Simons Foundation dedicated to computation. The lab is also affiliated with NYU’s Center for Data Science, Minds, Brains and Machines Initiative, CILVR group, and Cognition & Perception Program. Our current research focuses on the following areas, all geared towards analytically and phenomenologically connecting various levels of abstraction and scales in information processing within biological and artificial neural networks: 1. Neural Manifolds as a Population Coding Theory: - Objective: Develop a normative theory of neural population geometry, known as neural manifolds. - Aim: Create an analytical theory that establishes a connection between the structure in high-dimensional neural data and the underlying computational processes. - Toolkits: Statistical physics (*replica method, random matrix theory*), neural network and machine learning (theory & applications), convex optimization, high-dimensional geometry, and statistics. - Applicants with backgrounds in statistical physics, machine learning theory, and theoretical neuroscience are strongly encouraged to apply. 2. Neural Manifolds as a Data Analysis Method: - Objective: Employ the theory and methods of neural manifolds for neural data analysis. - Background: We welcome applicants with backgrounds in neuroscience and cognitive science who are familiar with a wide range of experimental datasets and various model systems. An interest in collaborating with cutting-edge theory subgroups is highly encouraged. 3. Deep Learning Theory for Neuroscience: - Objective: Apply analytical insights from deep learning theory to computational approaches in systems neuroscience. - Toolkits: Statistical physics (replica method, random matrix theory), machine learning theory and applications, high-dimensional statistics. Additionally, we are exploring frontier topics, including the theory of neural manifolds for causality in large language models, the theory of multitasking and cognitive control, and the theory of semantic/categorical hierarchies and knowledge representations. If you are passionate about advancing our understanding of the structure of information in neural systems, we encourage you to apply. We welcome theorists and computational neuroscientists across a range of backgrounds, such as *machine learning* (applications and theory), *theoretical/statistical physics*, *computer science*, *computational and systems neuroscience*, and *cognitive science*. Join us in this exciting journey at the intersection of neuroscience, computation, and theory. If interested, reach out with a CV, a brief description of research interests, and a list of references to sueyeon(a)nyu.edu or schung(a)flatironinstitute.org. (Please note that official job announcements from the Flatiron Institute will be widely circulated in the upcoming weeks, but we are scheduling candidate seminars on a rolling basis.) Best, SueYeon Chung Assistant Professor Center for Neural Science, New York University Center for Computational Neuroscience, Flatiron Institute, Simons Foundation Personal Website: https://sites.google.com/site/sueyeonchung/ Lab Website: http://www.sychunglab.org/

Sept. 26, 2023

YOUNG RESARCHER AWARD @ FRCCS 2024

by Hocine Cherifi

*YOUNG RESARCHER AWARD* <https://iutdijon.u-bourgogne.fr/ccs-france/young-resarcher-award/> *@ **FRCCS 2024* <https://iutdijon.u-bourgogne.fr/ccs-france/> *Submission deadline: April 24, 2023* The Young Researcher Award is part of CSS FRANCE's <https://www.cssfrance.org/> global initiative to support early career researchers in their quest to advance the frontiers of science across a broad range of disciplines. It is in place to recognize early career contributions and leadership in research in Complex Systems related fields. It is awarded to young researchers up to *five years* after the Ph.D. completion (date of Ph.D. defense) and the deadline of the call for nomination. *Eligibility* - Applications for this award are welcomed by academia, business, and government scientists. - Eligible candidates should not be older than 35 years. - There should be no more than five years between the date of the Ph.D. defense and the deadline of the call for nomination. - Self-nominations are accepted and encouraged. - Any young researcher can be nominated in whatever discipline Complex Systems covers. - Candidates must commit to presenting their work at FRCCS if awarded. *Important dates* · Application deadline: *March 04, 2024* · Notification to applicants: *April 02, 2024* *Application Instruction* *For self-nomination* The application package must contain: - A CV of the candidate (maximum two pages) - Research achievement: a letter describing the context and relevance of the achievement, its scientific impact, and why it deserves an award (maximum two pages). - A long-term research project (maximum two pages) *For supporter nomination* - A CV of the candidate (maximum two pages) - Research achievement: a letter describing the context and relevance of the achievement, its scientific impact, and why it deserves an award (maximum two pages). - A statement from the candidate (maximum two pages) reflects their understanding of how the original scientific research moved science forward. *Application Process* Applications are made via a google form: Fill out the self-nomination form <https://docs.google.com/forms/d/e/1FAIpQLSc7JjwOEPF0YYBRHWomS3o-fZ3YXu0a5QU…> or the Supporter nomination form <https://forms.gle/bkVFg9pUvt2f4K1p9> *Note that Google Forms requires you to be signed in to a Google account to upload files and submit your responses. * *Selection Process* FRCCS Award Committee will evaluate all qualified candidates and propose the winner to the Advisory Board of CSS FRANCE, which will make the final decision. *Award Procedure* A prize of 1000 euros is awarded to the winner. The award also covers the registration fee of FRCCS <https://iutdijon.u-bourgogne.fr/ccs-france/> 2024 to facilitate attendance at the conference. The awardee will be recognized and present his (her) work at FRCCS <https://iutdijon.u-bourgogne.fr/ccs-france/> 2024. For more information contact: hocine.cherifi(a)gmail.com Join us at COMPLEX NETWORKS 2023 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science <https://appliednetsci.springeropen.com/> Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

Sept. 25, 2023

Bertalanffy Doctoral Student Award

by Hocine Cherifi

*DOCTORAL STUDENT AWARD* <https://iutdijon.u-bourgogne.fr/ccs-france/doctoral-student-award/> *@ **FRCCS 2024* <https://iutdijon.u-bourgogne.fr/ccs-france/> The Bertalanffy Doctoral Student Award is part of CSS FRANCE's <https://www.cssfrance.org/> global initiative to support early career researchers in their quest to advance the frontiers of science across a broad range of disciplines. It is in place to recognize early career contributions and leadership in research in Complex Systems related fields. It is awarded to young researchers enrolled in a Ph.D. program. This competition consists in presenting your research in simple terms in a five minutes video to a lay audience. Your presentation should be clear, concise, and convincing. *Eligibility* - Eligible candidates must: - Be under 30. - Be enrolled in a Ph.D. program in whatever discipline Complex Systems covers. - Commit to presenting their work at the French Regional Conference on Complex Systems <https://iutdijon.u-bourgogne.fr/ccs-france/> FRCCS <https://iutdijon.u-bourgogne.fr/ccs-france/> if awarded - Accept and authorize the use and distribution of videos and photos related to the competition, including on social networks - Have informed their thesis supervisor of their participation in the competition - Present a sufficiently advanced state of the doctoral research project *Important dates* · Application deadline: *March 04, 2024* · Notification to applicants: *April 02, 2024* *Application Instruction* The application package must contain the following: - A CV of the candidate (maximum two pages) - A summary (maximum two pages) presenting the research work, its context, main contribution, and scientific impact. - A 5 minutes video presentation. *Application Process* Applications are made via a google form on the online portal. <https://docs.google.com/forms/d/e/1FAIpQLSe49vdpumpzjVJJ7_mWgC5zKSLS1AqelD_…> *Note that Google Forms requires you to be signed in to a Google account to upload files and submit your responses. * *Selection Process* FRCCS Award Committee will evaluate all qualified candidates and propose the winner to the Advisory Board of CSS FRANCE, which will make the final decision. *Award Procedure* A prize of 500 euros is awarded to the winner. The award also covers the registration fee of FRCCS <https://iutdijon.u-bourgogne.fr/ccs-france/> 2024 to facilitate attendance at the conference. The awardee will be recognized and present his (her) work at FRCCS <https://iutdijon.u-bourgogne.fr/ccs-france/> 2024. For more information contact: hocine.cherifi(a)gmail.com Join us at COMPLEX NETWORKS 2023 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science <https://appliednetsci.springeropen.com/> Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

Sept. 25, 2023

The full schedule for the fourth Canadian Computational Neuroscience Spotlight is now available

by Scott Rich

Dear Comp-Neuro Listserv, The schedule for the fourth Canadian Computational Neuroscience Spotlight (CCNS), including 40+ talks from trainees, is finalized and available here <https://ccnsmeeting.ca/#04-ccns-2023-program>. Along with these fantastic talks from young scientists, the keynote speakers for the meeting are Drs. Rick Adams, Jeremie Lefebvre, and Sarah Muldoon. The meeting takes place next week, Thursday October 5-Friday October 6. Registration is completely free at https://www.crowdcast.io/c/ccnsv4, and the meeting will be entirely online. Please spread the word to anyone who might be interested in attending! Please don't hesitate to reach out if you have any questions about the meeting, and we look forward to seeing you there. Sincerely, Scott Rich

Sept. 25, 2023

2-year postdoc position in social neuroscience

by Bischofberger, Jasper

2-year 100% postdoc position in social neuroscience at the Julius-Maximilians-Universität Würzburg (JMU) Würzburg, Germany The Translational Social Neuroscience Unit offers a position as a postdoctoral researcher (m/f/x) starting as soon as possible. We study the psychological and neurobiological processes underlying social interactions and decisions. In current studies, we investigate drivers of human social behavior such as empathy, social norms, group membership, and egoism, as well as the social modulation of anxiety and pain processing. We use neuroscientific methods (functional magnetic resonance imaging, electroencephalography) and psychophysiological measures (heart rate, skin conductance), combined with experimental paradigms from cognitive and social psychology and simulations of social interactions in virtual reality. Using smartphone-based surveys and mobile physiological sensors, we study social interactions in everyday life. As part of the Center of Mental Health and the Department of Psychiatry, Psychosomatic and Psychotherapy, we have access to 3T and 7T fMRI research scanners, TMS, EEG, a Virtual-Reality-Labor (CAVE), and to patients with different psychiatric conditions. We cherish a good working atmosphere and work as a team, but you will also be encouraged to develop and strengthen your own research profile. We seek a candidate with a background in psychology, social neuroscience, cognitive neuroscience or cognitive science with a successfully completed PhD. Ideally; you should have experiences with computational modeling (e.g., reinforcement learning models) and the respective software (e.g. MATLAB/ R programming). Experience with the collection and analysis of empirical date (ideally including neuroscience data) and excellent language skills in English and preferably also in German are required. The research topics are subject to the fits between the candidate’s research interests, expertise, and ongoing projects in the research group, particularly the DFG-funded research project on learning and intergroup processes. Based on personal qualification, employees are remunerated according to salary group E 13 TV-L. The position is initially limited until September 30, 2025 with the option for extension. Please contact Grit Hein (Hein_G(a)ukw.de<mailto:Hein_G@ukw.de>) for questions about the position. The University of Würzburg is an inclusive, equal opportunity employer. Individuals with disabilities will be given priority, assuming equal qualifications, and are thus encouraged to apply. The University of Würzburg seeks to increase the number of women in those areas where they are underrepresented and therefore also explicitly encourages women to apply. Please send your applications including a motivation letter, research interests, CV (including publications if applicable), degree certificates and names of 2 referees by October 20th 2023 as a single PDF file to Prof. Dr. Grit Hein (Hein_G(a)ukw.de<mailto:Hein_G@ukw.de>) with [postdoc TransSocNeuro] in the subject line. Bitte beachten Sie die Hinweise des Universitätsklinikums Würzburg zu Datenschutz<https://www.ukw.de/recht/datenschutz/>, Vertraulichkeit<https://www.ukw.de/recht/vertraulichkeit/> und Nachhaltigkeit<https://www.ukw.de/klinikumsleitung-und-verwaltung/stabsstelle-nachhaltigke…>!

Sept. 25, 2023

Machine Learning Summer School 2024 in Okinawa: Apply by Sept. 30, 2023

by Kenji Doya

We are pleased to organize the Machine Learning Summer School 2024 at OIST: https://groups.oist.jp/mlss It will be from March 4th to 15th, and yes, we call it summer in Okinawa. The application deadline is September 30, 2023 (UTC). Please apply from here: https://groups.oist.jp/mlss/application Confirmed speakers: Pierre Alquier, ESSEC Marco Cuturi, ENSAE/Apple Kenji Doya, OIST Yu-Chiang Frank Wang, National Taiwan University/ NVIDIA Kenji Fukumizu, ISM Arthur Gretton, UCL Tatsunori Hashimoto, Stanford University Stefanie Jegelka, MIT Gitta Kutyniok, LMU Taiji Suzuki, University of Tokyo/RIKEN AIP Diyi Yang, Stanford University Amy Zhang, UT Austin Han Zhao, UIUC Target Audience: We aim to select 200 highly motivated participants. Our primary target audience consists of master and PhD students with a strong technical background in machine learning related research topics. A limited number of industry practitioners, professors, researchers, outstanding bachelor's students may also be considered. All participants are expected to have knowledge of programming in Python, a keen interest in machine learning, and familiarity with linear algebra, basic calculus, and basic probability and statistics. MLSS2024 organizers: Makoto Yamada (OIST) Masashi Sugiyama (U. of Tokyo / RIKEN AIP) Kenji Doya (OIST) Inquires: mlss2024(a)oist.jp ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

Sept. 25, 2023

Gatsby Unit PhD Programme 2024: Applications now open

by I-Chun

4-Year PhD Programme in Theoretical Neuroscience and Machine Learning Deadline: 13 November 2023 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 WellcomeCentre 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 and 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/phd-programme -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL

Sept. 25, 2023

Postdoc openings in the Savin lab at NYU

by Cristina Savin

Applications are invited for two postdoctoral positions in the Savin group in the Centre for Neural Science and Center for Data Science at NYU. We have several ongoing projects focused on statistical modeling of population responses during complex behavior, with a focus on latent population dynamics, inter-area interactions, and causal interventions. In particular, in the context of a collaboration with the Angelaki lab, we are working on elucidating mechanisms of dynamic updating of beliefs in foraging tasks, using multi-area recordings in VR and freely moving monkeys. In a separate project, funded by the Brain Initiative, we are developing tools for single trial estimation of patterns of gain modulation, in collaboration with the Coen-Cagli group. These are joint endeavors across the pair of lab, with regular joint meetings and group interactions. More broadly, the postdoc will be part of a large and intellectually vibrant community of researchers from the Center for Neuroscience and the Centre for Data Science at NYU. The successful applicant will have a degree in computational neuroscience or machine learning, excellent coding skills (python) and a track record of successful research. Prior experience in neural data analysis, probabilistic machine learning, or open software development are particularly appreciated. Prior experience in neuroscience is welcome, but not strictly required. Finally, since this is a highly interdisciplinary and collaborative project, good communication skills are important. The initial appointment is one year with the expectation of extension contingent on satisfactory progress. Please submit your application to csavin(a)nyu.edu <mailto:csavin@nyu.edu>, including - CV - a statement of research interests - contact details of three people that are familiar with your work We will be evaluating the applications on a rolling basis until the position is filled. I will be at the Bernstein meeting next week and happy to answer questions. Cristina Savin Assist.Prof. in Neural Science and Data Science NYU

Sept. 22, 2023

PhD position - Comp. Neuro. - Navigation using episodic memo

by Vinita Samarasinghe

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

Sept. 22, 2023

6 open rank positions in NeuroInformatics at UIUC

by Vlasov, Yurii A

[cid:e26cf374-d29e-4fc1-9a41-a62369ce0a1c] Strategic Hiring Initiative: Neuroinformatics Cluster Hire The University of Illinois Urbana-Champaign (UIUC) is announcing a major university-wide Strategic Hiring Initiative to hire six (6) full-time tenure-track faculty positions at all levels (Assistant Professor, Associate Professor, Full Professor) in the area of Neuroinformatics that lies at the critical intersection of computational neuroscience, computer science, and information science with a primary focus on understanding the function of the brain in disease and health. This major institutional investment, which spans across the Grainger College of Engineering and the College of Liberal Arts and Sciences, seeks to expand and complement existing efforts across campus and serve as catalyst to establish UIUC as a center of excellence in understanding the function of the human brain. Additional information on this cluster hire initiative can be found on the website https://publish.illinois.edu/neuro-cluster/ Participating Departments The participating departments are: (1) Computer Science; (2) Electrical and Computer Engineering; (3) Bioengineering; (4) Statistics; (5) Psychology; and (6) Molecular and Integrative Physiology. Areas of Interest We seek applicants with expertise in computer science, biomedical informatics, and computational neuroscience, with primary research interests directed at the development and application of modern artificial intelligence or machine learning analytical tools and techniques for coordinated “big data” analyses of the state-of-the-art neuroscience datasets, such as large-scale electrophysiology, calcium/voltage imaging, multimodal brain imaging, genetic and epigenetic data, and complex behavioral datasets. Eligibility Successful candidates will be part of a large cohort of new faculty contributing to and benefiting from this rich computational systems neuroscience research environment and will have tenure homes in one of the six participating departments. Candidates interested in interactive and trans-disciplinary team research are particularly encouraged to apply. Cross-appointments between different departments are envisioned and encouraged, although each faculty member is expected to have a primary appointment in a single department. Application Instructions To ensure full consideration, candidates should apply to one or more of the six departments. Candidates should include in their application cover letters that they would like to be considered for the cluster hire program, and they should list which other departments they have applied to, if any. For other application materials, candidates should follow the directions in specific position descriptions. Candidates may be contacted if a search committee requires more information. For full consideration, apply by the closing date listed in the specific departmental position descriptions. Early applications are strongly encouraged as interviews may take place during the application periods, but hiring decisions will not be made until after the closing dates. Please contact neuroinformatics(a)illinois.edu with any questions.

Sept. 20, 2023

CFP: FLAIRS37, Neural Network and Data Mining Special Track, Miramar Beach, FL, May 18-21, 2024

by David B

*eural Networks and Data Mining* *Special Track at the **37th International FLAIRS Conference* <https://www.flairs-37.info/home> * Miramar Beach, Florida,** May 18-21, 2024* *Abstract Due Date: January 22 , 2024* *Submission Due Date: January 29 , 2024* *Paper acceptance notification: March 11, 2024 * *Camera ready version : April 8, 2024 * *Call 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 in no way limited to): Applications such as Pattern Recognition, 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, and Neural Network/Fuzzy Logic ; Acceleration of neural network modeling 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* Submitted papers *must be original*, and not submitted concurrently to a journal or another conference. Double-blind reviewing will be provided, so submitted papers must use fake author names and affiliations. Papers must follow the FLAIRS template guidelines ( https://www.flairs-37.info/call-for-papers) and be submitted as a PDF through the EasyChair <https://easychair.org/conferences/?conf=flairs37> 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 elsewhere 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. *Cochairs:* 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*: Martin Atzmueller (University of Kassel, Germany) Juan Banda (Montana State University, USA) Lori Bogren (SomaLogic, USA) Chandrashekar Muniyappa (Upgrade Inc, USA) Yoni Fridman (Verizon Business Solutions, USA) Diane Cook (Washington State University, USA) Sergei Dolenko (M.V.Lomonosov Moscow State University, Russian Federation) Olac Fuentes (University of Texas at El Paso, USA) Lawrence Holder (Washington State University, USA) Sheikh Rabiul Islam (University of Hartford, USA) Mike James (iProgrammer, United Kingdom) 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) Ramesh Paudel (Sysco Corp, USA) Prabin Lamichhane (Tennessee Tech University, USA) Hyoil Han (Illinois State University, USA)

Sept. 20, 2023

PhD position: Effects of music on sleep EEG

by Martin Dresler

Hi, Within the Lullabyte.org consortium, one additional PhD position needs to filled, combining neuroscience, musicology and AI. The project will investigate the effects of generative music on sleep, as measured by wearable sleep EEG. The position will be integrated into the highly collaborative and interdisciplinary European Marie Curie Network Lullabyte.org, working on the intersection of musicology, sleep research, and AI. It will be mostly based at Endel.io in Berlin, with secondments to the Technical University Dresden and the Donders Institute in Nijmegen/NL. Requirements: strong skills in music research and experience in neuroscience, with a master degree or equivalent in one of the following (or related) fields: musicology, music technology, computer music, neuroscience, psychology. Application until 24 September 2023, starting date as soon as possible. Please send your applications including a brief (1-2 pages) motivation letter, CV, and contact information for two references to miriam.akkermann(a)tu-dresden.de Cheers, Martin Donders Sleep & Memory Lab, Radboud University Medical Center Kapittelweg 29, 6525 EN Nijmegen, Netherlands https://dreslerlab.org

Sept. 20, 2023