- Comp-neuro - lists.cnsorg.org

Postdoc position in Bilbao on open-ended network self-organization
by Miguel Aguilera Sept. 1, 2023

Sept. 1, 2023

Hi all, We are offering one postdoc position on self-organized network modelling at the Basque Center for Applied Mathematics in Bilbao (Basque Country, Spain) under the supervision of MIguel Aguilera. DETAILS: **Postdoctoral Fellow on open-ended, self-organized, bio-inspired networks** Topics: One of the outstanding challenges in modelling living and cognitive systems is to capture their ability to continuously adapt and develop. Our behavioural responses are not fixed but driven instead by a complex ecology, composed of myriads of fluid and inconspicuous neurodynamical patterns that have slowly grown on us. AI models like neural networks can capture complex behaviours, but often this open-ended, liquid and ongoing reconfiguration is incredibly challenging to reproduce with static topologies. In contrast, liquid neural networks (or 'liquid brains') are a widespread class of networks with a particular feature: nodes (which may represent 'neurons' or 'agents' and typically all share identical rules) not only process information from neighbour nodes, but they also dynamically modify their network connections, e.g. by moving in space. These networks show how neural-like processing typically associated with static physiological networks can also emerge from fluid collective interaction, dynamically exploring configuration spaces beyond standard connection weight changes. Examples of this kind of model include collective decision-making and fluctuations in ant colonies or idiotypic cascades in immune networks. Objective: The aim of this project is to develop a theory of learning in liquid brains, focused on two aspects: 1) How do liquid brains learn? How is this process different from static neural networks?, and 2) what is the adaptive potential of liquid brains when they are embodied as an agent in interaction with a changing external environment? Answering these questions has the potential to extend the idea of liquid brains from a theoretically deep and intriguing concept to a useful tool available to the machine learning community. Specifically, liquid brains could afford more open-ended, self-improving systems, exploiting fluid reconfiguration of nodes as an adaptive dimension which is generally unexplored. This could also allow modes of learning that avoid catastrophic forgetting, as reconfigurations in the network are based on reversible movement patterns. In terms of technology transfer, this advances can also have important implications for new paradigms like edge computing. PI in charge: Miguel Aguilera <https://maguilera.net/> Salary and conditions: The gross annual salary of the Fellowship will be 29.120€ - 35.360€ according to experience. Additionally, we offer a moving allowance up to 2.000€. Should the researcher have a family at the time of recruitment: 1. 2.000€ gross in a single payment will be offered (you must be married-official register or with children and the certificate to prove it must be sent). 2. 1.200€ gross per year/per child (up to 2 children) will be offered (the certificate to prove it must be sent). Contract and offer: 1 + 1 years Deadline: 8TH September 2023, 14:00 CET How to apply: Applications must be submitted on-line at: https://joboffers.bcamath.org/apply/ic2023-08-postdoctoral-fellow-in-open-e… **Scientific Profile Requested** Requirements: PhD in Physics, Engineering, Computer Science, Maths, Artificial Intelligence, Computational Neuroscience and related fields. Skills and track-record: * Modelling experience with complex or neural network models, e.g. Hopfield networks, Ising models, Boltzmann machines, sandpile models, flock/swarm/insect colony models. * Solid programming skills * Analytical study of stochastic processes * Demonstrated ability to work independently and as part of a collaborative research team. * Ability to present and publish research outcomes in spoken (talks) and written (papers) form. * Fluency in spoken and written English. Scientific Profile: The preferred candidate will have: * Strong background in complex systems, neural network modelling, biophysics, information theory and/or statistical mechanics * Interest to work in interdisciplinary research projects Application and Selection Process Formal Requirements: The selected candidate must have applied before the application deadline online at the webpage https://joboffers.bcamath.org/ The candidates that do not fulfil the mandatory requirements will not be evaluated with respect to their scientific profile. Additional documents could be requested during the evaluation process so as to check this fulfilment. Application: Required documents: * CV * Letter of interest * 2 recommendation letters * Statement of past and proposed future research (2-3 pages) Evaluation: Based on the provided application documents of each candidate, the evaluation committee will evaluate qualitatively: the adaption of the previous training and career to the profile offered, the recommendation letters, the main results achieved (papers, proceedings, etc.), the statement of past and proposed future research and other merits; taking in account the alignment of these items to the topic offered. Incorporation: As soon as possible -- Miguel Aguilera | Ikerbasque Research Fellow | BCAM – Basque Center for Applied Mathematics |https://maguilera.net

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Kempner Research Fellows
by Cengiz Pehlevan Sept. 1, 2023

Sept. 1, 2023

The Kempner Institute at Harvard University has opened the application for the next cohort of Kempner Research Fellows. The application is open now and will close on October 9, 2023. The 3 year fellowship provides a generous stipend, funding for research, and access to our GPU cluster. We seek candidates who are working on or more of the following areas: Foundations of intelligence, including mathematical and computational models of intelligence, cognitive theories of intelligence, and the neurobiological basis of intelligence. Applications of artificial intelligence, including natural language processing, visual scene processing and analysis, and to the mechanistic analysis of high dimensional neural and behavioral data. The study of these applications can either be from an engineering standpoint (e.g., development of new methodologies or advancing the state of the art) as well as from a scientific one (e.g., achieving a better understanding of deep learning). To be eligible, a candidate must be, at the earliest, in the final year of their Ph.D. training and at the latest, have received their PhD no earlier than 9/1/2021. See this link for more information and how to apply: https://www.harvard.edu/kempner-institute/opportunities/the-kempner-institu… Email KempnerInstitute(a)harvard.edu <mailto:KempnerInstitute@harvard.edu> for any questions about the position.

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Postdoc Position in Hamburg, Germany
by Jan Gläscher Aug. 31, 2023

Aug. 31, 2023

Dear Colleagues, there is a Postdoc position for 4 years (starting January 2024) available in my lab to work on a project on dynamic belief updating in stochastic and changing environments using computational modeling of behavior, combined EEG-fMRI, and eye-tracking. Details can be found here <https://drive.google.com/file/d/1neec58x-6RQe-WuKt33xJRJPIhZzm-We/view?usp=…>. Our lab is at www.glascherlab.org <https://www.glascherlab.org/>. Best wishes, Jan Jan Gläscher, Ph.D. Research Group Leader “Valuation and Social Decision-Making" Institute for Systems Neuroscience University Medical Center Hamburg-Eppendorf Germany -- _____________________________________________________________________ Universitätsklinikum Hamburg-Eppendorf; Körperschaft des öffentlichen Rechts; Gerichtsstand: Hamburg | www.uke.de Vorstandsmitglieder: Prof. Dr. Christian Gerloff (Vorsitzender), Joachim Prölß, Prof. Dr. Blanche Schwappach-Pignataro, Marya Verdel _____________________________________________________________________ SAVE PAPER - THINK BEFORE PRINTING

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PhD position on neuromorphic electronic systems for artificial olfaction
by Jakob Jordan Aug. 30, 2023

Aug. 30, 2023

(fowarded on behalf of Dr. Kevin Max, University of Bern, Switzerland) Dear colleagues, as part of our new project SYNCH: neuromorphic electronic systems for artificial olfaction, we are looking for a PhD candidate interested in working on neuromorphic hardware integration. The position is open at the department of Electrical Engineering at TU Eindhoven, the Netherlands. If you are interested or know somebody who is, please consider the following link: https://jobs.tue.nl/en/vacancy/phd-position-on-neuromorphic-electronic-syst… Cheers, Kevin

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2024 NERF PhD Program
by pedro goncalves Aug. 30, 2023

Aug. 30, 2023

Dear all, Want to do a PhD in neurosciences? Join us - we're recruiting! Neuro-Electronics Research Flanders (NERF) is an interdisciplinary research center located in Leuven, Belgium. We study neuronal circuits and develop new technologies to link circuit activity to brain function. We offer students an opportunity to carry out cutting-edge systems neuroscience research in an international and collaborative environment, with multi-disciplinary training and access to advanced neurotechnologies. More details about the positions and NERF can be found at https://nerfphdcall.sites.vib.be/en Best wishes, Pedro Gonçalves --------------- Pedro Gonçalves Principal Investigator at NERF, a joint research initiative by imec, VIB, and KU Leuven https://goncalveslab.sites.vib.be/en

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The Bernstein Conference 2023 in Berlin is approaching
by Alexander Lammers Aug. 30, 2023

Aug. 30, 2023

***The Bernstein Conference 2023 in Berlin is approaching*** ___ The Bernstein Conference Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries. All information: https://bernstein-network.de/bernstein-conference/ ___ Events Bernstein Conference: Sept 26 - 29, 2023 Satellite Workshops: Sept 26 – 27, 2023 Main Conference: Sept 27 – 29, 2023 Postdoc Meeting: Sept 27, 2023 PhD Symposium: Sept 29 – 30, 2023 ___ Schedule Find the detailed schedule here: https://bernstein-network.de/bernstein-conference/program/schedule/ ___ Registration Registration Deadline: Sept 13, 2023 On-site registration possible if sufficient places are available. All information: https://bernstein-network.de/bernstein-conference/registration/ ___ Invited Speaker Opening Lecture Marlene Cohen (University of Chicago, USA) Invited Talks Tiago Branco (Sainsbury Wellcome Center, UK) Stefano Fusi (Columbia University, USA) Ann Kennedy (Northwestern University, USA) Julija Krupic (University of Cambridge, UK) Wiktor Mlynarski (LMU Munich, Germany / Institute of Science and Technology, Austria) Adrien Peyrache (McGill University, Canada) Kanaka Rajan (Icahn School of Medicine at Mount Sinai, USA) Christopher Summerfield (University of Oxford and Deepmind, UK) Julia Veit (Albert-Ludwigs-Univesität Freiburg, Germany) ___ Conference Committee Robert Gütig (Conference Chair) Tatjana Tchumatchenko (Program Chair) Srdjan Ostojic (Program Vice Chair) Anna Levina (Workshop Chair) Maria Eckstein (Workshop Vice Chair) & Athena Akrami, Ann Hermundstad, Mehrdad Jazayeri, Christian Leibold, Ashok Litwin-Kumar, Ida Momennejad, Nicole Rust, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ___ FAQ & Contact Find FAQs here: https://bernstein-network.de/bernstein-conference/general-information/impor… For any further questions, please contact: bernstein-conference(a)fz-juelich.de<mailto:bernstein-conference@fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Faculty positions at Okinawa Institute of Science and Technology, Japan
by Erik De Schutter Aug. 30, 2023

Aug. 30, 2023

Dear computational neuroscientists, OIST is recruiting in all areas of science, but assistant professor level recruitment in computational neuroscience is a priority for the coming years to reinforce our strength in CNS. So go ahead and apply, we’re actively looking for female candidates. Apply at https://groups.oist.jp/facultypositions

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Bordeaux Neurocampus: 1st Open Science Workshop
by Fjola Hyseni Aug. 30, 2023

Aug. 30, 2023

To whom it may concern, I would like to diffuse an email about the 1st Open Science Workshop in Bordeaux. -------------------------------------------------------------------------------------------------------------- Hey, Open Science enthusiast! Are you ready to dive into a whirlwind of knowledge, fun, and free lunch? Our Open Science Workshop <https://bordeaux-neurocampus.github.io/OS-Workshop-2023/> is just around the corner, and trust us, you won't want to miss it! Get ready to be blown away by some seriously cool speakers who are pushing the boundaries in the world of Open Science! And the best part? It's completely FREE to attend! Yup, you read that right – no registration fees! Lunch and coffee are also included & free because great minds need some fuel. 📅 When: October 16th- 20th 🕒 Where: Neurocampus - University of Bordeaux 💡 What: A One-Week Open Science Workshop 💸 Travel grants: YES! Coming from outside of Bordeaux? No problemo, we have a few travel grants available! ✅ Training hours: Yup! This week can be validated as training hours! Soon, the course will be on ADUM! 📝 Where to apply: Click HERE <https://bordeaux-neurocampus.github.io/OS-Workshop-2023/apply>! 👥 Who can apply: Anyone working in research and interested in improving their practices! 🗣️ Feel free to pass this message to a friend – the more, the merrier! We look forward to welcoming you to this amazing workshop! Sincerely, The Organizers

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Postdoc - Computational Neuroscience
by Aaron Milstein Aug. 29, 2023

Aug. 29, 2023

Dr. Aaron Milstein, Assistant Professor of Neuroscience and Cell Biology, is seeking a postdoc to join his computational neuroscience lab at Rutgers University in Piscataway, NJ. Projects in the lab focus on understanding a newly discovered form of synaptic plasticity that depends on dendritic spikes called behavioral timescale synaptic plasticity (BTSP). We hypothesize that this plasticity mechanism is involved in coordinating supervised learning across multiple brain regions. Ideal candidate: – Interested in bio-inspired neural networks and/or neural circuits – Enjoy learning and tackling difficult research questions – Completed (or close to completing) a PhD – Have research experience in a relevant topic (e.g. Neuroscience, Computational Neuroscience, Computer Science, Machine Learning, Bioengineering, etc.). What we offer: – A supportive work environment in a fun international team with room to develop your own project – The option to collaborate with other world-class neuroscience and engineering labs at Rutgers and beyond – Opportunities to travel to national and international conferences – Healthcare coverage – Salary in line with the NIH payscale (based on years of experience) You can learn more about the lab here: https://milsteinlab.com We look forward to hearing from you! Please apply at the following link: https://jobs.rutgers.edu/postings/204606

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Call for abstracts extended (Sept 3rd): Symposium on the Mathematics of Neuroscience, Rhodes, Greece, Sept 28th-Oct 1st, 2023
by Battleday, Ruairidh Aug. 29, 2023

Aug. 29, 2023

Fourth International Symposium on the Mathematics of Neuroscience. 28th September - 1st October 2023, Old Town, Rhodes, Greece. —---------------- Deadline extended (Sept 3rd): Call for abstracts —---------------- Our deepest gratitude to all of you that have submitted so far! We are extending our invitation to submit abstracts for this year’s conference on the mathematics of neuroscience until September 3rd: www.neuromonster.org In this exploratory symposium, we present and discuss general mathematical models of brain function. We give priority to those models that account for brain or behavioural data, or provide simulations to that effect. Submissions will be assigned to either a short talk, spotlight talk, or poster presentation. Keynote Speakers Professor Aapo Hyvärinen (University of Helsinki) Professor Janneke Jehee (Donders Institute) Professor Peter Latham (UCL) Session Chairs Probabilistic models: Dr Ruairidh McLennan Battleday (Harvard / MIT) Neurotheory: Dr James Whittington (Oxford / Stanford) Biocomputation: Professor Dan V. Nicolau (King’s College London / Oxford) Representational alignment: Dr Ilia Sucholutsky (Princeton) Confirmed Talks Professor Andrew Adamatzky (UWE) Professor Dan Nicolau Sr (McGill) Professor Bill Thompson (Berkeley) Professor Bradley Love (UCL) Professor Iris Groen (Amsterdam) Dr Thomas Parr (UCL) Dr Ilias Rentzeperis (SNRC) The symposium will be held virtually or in-person on the island of Rhodes, Greece from the 28th September - 1st October 2023 (www.neuromonster.org) Submission is by 250-word abstract before the 3rd September 2023, emailed to the session chairs at battleday(a)thinkingaboutthinking.org, indicating the desired session. -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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Faculty position at Cold Spring Harbor Laboratory in computational neuroscience
by Benjamin Cowley Aug. 28, 2023

Aug. 28, 2023

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

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COMPLEX NETWORKS 2023 Menton Riviera France Submission Deadline Sept 02, 2023
by Hocine Cherifi Aug. 28, 2023

Aug. 28, 2023

You are cordially invited to submit your contribution until *September 02, 2023*. *12* *th **International Conference on Complex Networks & Their Applications* Menton Riviera <https://www.menton-riviera-merveilles.co.uk/>, France November 28 - 30, 2023 COMPLEX NETWORKS 2023 <https://complexnetworks.org/> *KEYNOTE SPEAKERS* · Michael Bronstein <https://www.cs.ox.ac.uk/people/michael.bronstein/> University of Oxford UK · Kathleen Carley <https://www.cylab.cmu.edu/directory/bios/carley-kathleen.html> Carnegie Mellon University USA · Manlio De Domenico <https://manliodedomenico.com/> University of Padua Italy · Danai Koutra <http://web.eecs.umich.edu/~dkoutra/> University of Michigan USA · Romualdo Pastor-Satorras <http://www.fen.upc.edu/~romu/> Univ. Politècnica de Catalunya Spain · Tao Zhou <https://scholar.google.com/citations?user=MXgWgmEAAAAJ&hl=en> USTC China *TUTORIALS* · Tiago de Paula Peixoto <https://skewed.de/tiago> CEU Vienna Austria · Maria Liakata <https://www.turing.ac.uk/people/researchers/maria-liakata> Queen Mary University of London UK *SUBMISSION* You can submit at : https://complexnetworks.org/submission/ · A *Full paper *(not previously published work up to 12 pages) · An *Extended Abstract* (about published or unpublished research up to 4 pages) *PUBLICATION* · *Papers *will be included in the conference *proceedings edited by Springer* · *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* · *Extended versions* will be invited for publication in *special issues of international journals:* o Applied Network Science <https://appliednetsci.springeropen.com/> edited by Springer o Advances in Complex Systems <https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific o Complex Systems <https://www.complex-systems.com/about/> o Entropy <https://www.mdpi.com/journal/entropy> edited by MDPI o PLOS Complex systems <https://plos.org/complex-systems-research-journal/> o PLOS <https://journals.plos.org/plosone/> one <https://journals.plos.org/plosone/> o Social Network Analysis and Mining <https://link.springer.com/journal/13278> edited by Springer *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Epidemics o Community Structure o Motifs o Network Mining o Network embedding o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Controllability o Synchronization o Visual Representation o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems o Financial and Economic Networks o Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics o Earth Sciences Applications o Resilience and Robustness of Complex Networks o Networks for Physical Infrastructures o Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks o Graph-Based Natural Language Processing *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA) 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/>

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LASCON 2024 - IX Latin American School on Computational Neuroscience (Call for applications) Caixa de entrada
by Antonio Roque Aug. 27, 2023

Aug. 27, 2023

**** 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 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, Aix-Marseille University, Marseille, France Fabio M. Simoes de Souza, Federal University of ABC, Sao Bernardo do Campo, SP, Brazil 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, Yale School of Medicine, New Haven, CT, 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>

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2 lecturer (assistant professor) in computer science posts available at Ulster University
by Wong-Lin, Kongfatt Aug. 26, 2023

Aug. 26, 2023

https://www.jobs.ac.uk/job/DCF900/lecturer-in-computer-science https://www.ulster.ac.uk/about/jobs Salary: 7/8 (£39,369 - £56,054) Closing Date: 4th September 2023 at 23:59 Reference Number: 022187 The post holder will support the delivery of key areas of teaching and research in the discipline of Computing. They will contribute to the delivery of undergraduate and postgraduate degree programmes offered by the School of Computing, Engineering and Intelligent Systems, and undertake research in areas aligned with the Intelligent Systems Research Centre (ISRC). - ABOUT YOU - - Hold a Degree in Computer Science, Software Engineering or cognate discipline. - Hold a PhD in Computer Science, Software Engineering or cognate discipline. - Have evidence of an advanced level of knowledge and experience of Computing Science with specific experience in Artificial Intelligence and/or Computer Networks and/or IoT/Pervasive Computing and/or Games Development and/or Neurotechnology. The School of Computing, Engineering & Intelligent Systems holds a Silver Athena SWAN Award in recognition of our commitment to advancing Gender equality. You can read more about what this means on our University website. The University has a range of initiatives to support a family friendly working environment, including flexible working. The University is an equal opportunities employer and welcomes applicants from all sections of the community, particularly from those with disabilities. Appointment will be made on merit. This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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Tenure-track faculty position at Washington University in St Louis
by Goodhill, Geoffrey Aug. 26, 2023

Aug. 26, 2023

ASSISTANT/ASSOCIATE PROFESSOR IN NEUROSCIENCE Washington University in St. Louis Department of Biology The Department of Biology at Washington University in St. Louis seeks a neuroscientist for a tenure-track position at the Assistant or Associate Professor level. The successful candidate will establish a research program focused on cutting-edge questions in developmental, cellular or systems neuroscience with particular interest in neuroethology, biologically-inspired artificial intelligence, evolution, or neural computation. The successful candidate will: join a vibrant neuroscience community; contribute to advising, mentoring, and teaching; and develop an externally funded and internationally recognized research program. These links provide more information about our department (biology.wustl.edu<https://biology.wustl.edu/>) graduate education (dbbs.wustl.edu<https://dbbs.wustl.edu/>), and WUSTL neuroscience community (neuroscienceresearch.wustl.edu<https://neuroscienceresearch.wustl.edu/>). Review of applications will begin October 2, 2023. Applications will be accepted until the search concludes. Diversity, equity, and inclusion are core values of the Biology Department and Washington University. Please provide a single pdf containing a cover letter, curriculum vitae, research statement, teaching statement, diversity statement, three papers, and the names and contact information for three references. Applications should be submitted through Interfolio (https://apply.interfolio.com/130284)

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Thalamus Anatomy and Connectomics Conference (October 30 – 31 in Tübingen)
by vin Aug. 25, 2023

Aug. 25, 2023

Dear Esteemed Researchers, Greetings! We are thrilled to invite you to the upcoming Thalamus Anatomy and Connectomics Conference, funded by the SPP-2041. The conference aims to dive deep into the fascinating and intricate thalamus. This event promises to be an enriching experience, fostering discussions and collaborations. 📅 Date: October 30 – 31, 2023 📍 Location: Max Planck Campus Tübingen, Germany *Registration:* The conference is free of charge. The onsite-registration is limited to approx. 50 participants. Please apply. *https://www.tuebingen.mpg.de/thalamus <https://www.tuebingen.mpg.de/thalamus>* We look forward to welcoming you to an intellectually stimulating and inspiring conference. Kindest regards, Organizing Team Thalamus Anatomy and Connectomics Conference Vinod Kumar Max Planck Institute for Biological Cybernetics Tuebingen, Germany.

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Postdoctoral position in Computational Neuroscience
by Bazhenov, Maksim Aug. 25, 2023

Aug. 25, 2023

The Bazhenov Lab at the University of California, San Diego (https://www.bazhlab.ucsd.edu) is currently seeking to fill a postdoctoral position to study the role of sleep in memory, learning, and forgetting. This exciting project involves close collaboration with experimental labs. The ultimate goal of the work is to advance our understanding of how the human and animal brain learn from experience and how sleep contributes to memory consolidation for recent learning. The successful candidate will be responsible for designing anatomically realistic biophysical brain network models based on experimental data. These models will be instrumental in uncovering network dynamics involved in memory consolidation and reconsolidation during sleep, as well as guiding data analysis and generating innovative experimental predictions. Additionally, depending on the candidate's interests and experience, there may be opportunities to participate in other related lab projects, such as developing “whole human brain” models based on dMRI data 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, PyTorch and/or Matlab is a 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>

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Job opportunity at the Gatsby unit, SWC and NeuroGEARS
by Joaquin Rapela Aug. 25, 2023

Aug. 25, 2023

Hello list, We have an open position for a research software engineer (machine learning and neuroscience) in London (UK) at the Gatsby Unit, the Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC) and NeuroGEARS Ltd. Deadline: 25 August 2023 We invite applications for a Research Software Engineer (RSE) position with expertise in: . software development and/or . machine learning and/or . neural data analysis and/or . experimental control (ideally with the Bonsai ecosystem) to contribute to the recently funded project ``Machine Learning for Neuroscience Experimental Control'' https://gow.bbsrc.ukri.org/grants/AwardDetails.aspx?FundingReference=BB%2FW… The initial appointment will be for two years. Salary will be in the range of £50,085-£63,291; a competitive supplement may be offered to candidates who match well the knowledge, skills and experience required for this role. We offer the unique research environment of the Gatsby Unit, the SWC and NeuroGEARS, as well as an unparalleled learning experience. By interacting with our scientists and engineers you could acquire unique skills in computational neuroscience, statistical neural data analysis, machine learning, experimental neuroscience and research software engineering. For detailed information and how to apply, please visit the UCL Job Portal (Ref B02-05510): https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?jobId=13635. For informal inquiries about the position, please contact me at j.rapela ‘at’ ucl.ac.uk. Cordially, Joaquin

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Postdoc in computational olfaction/ ML / AI / Data Science
by Michael Schmuker Aug. 24, 2023

Aug. 24, 2023

The Biocomputation group at the University of Hertfordshire is looking for a data scientist / ML / AI expert to join the interdisciplinary BioMachineLearning team working in computational olfaction. Whether your background is in computational neuroscience, neuromorphic computing, electronic noses, robotics, data wrangling, even cheminformatics: There is a project for you where you can bring your full expertise to blossom in a collaborative environment. Our lab is embedded in the Odor2Action Network (https://odor2action.org <https://odor2action.org/> ), a research consortium of 16 labs in the US, UK, and Canada, investigating how animals use odours to guide behaviour. There will be opportunities for travel to project meetings, conferences, etc. It is also possible to organise stays at one of our partner labs. We embrace flexible working, both in terms of working hours and the possibility to work from home (with the requirement to work from within the UK). Questions? Please do get in touch via email. More information about the job and how to apply is on the application form: https://www.jobs.herts.ac.uk/go/053215 Deadline 1st September! -- Dr Michael Schmuker AFHEA Professor of Neural Computation Biocomputation Group University of Hertfordshire http://biomachinelearning.net <http://biomachinelearning.net/>

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2 x Postdoctoral research fellowships Horizon Europe project PRIMI @ Sheffield Hallam University (UK)
by Di Nuovo, Alessandro Aug. 24, 2023

Aug. 24, 2023

Sheffield Hallam University (UK) is advertising two positions to work on the Horizon Europe project PRIMI: Performance in Human Robot Interaction via Mental Imagery<https://cordis.europa.eu/project/id/101120727>, led by Professor Alessandro Di Nuovo (scientific coordinator). The project aims to create the next-gen humanoid robots with efficient computation, high cognition and autonomy, by synergistically combining interdisciplinary research development in neurophysiology, psychology, machine intelligence, cognitive mechatronics, neuromorphic engineering, and humanoid robotics. The PRIMI project seeks to create more capable interactive robots with advanced abilities, able to provide innovative and personalised services. Prototypes will be used in stroke rehabilitation studies. You will also join the Smart Interactive Technologies (SIT) research laboratory; a vibrant interdisciplinary group, led by Prof. Alessandro Di Nuovo, that conducts world-leading research on Artificial Intelligence and Robotics. The group is currently running several research projects worth over £2.5 million funding from the European Commission and UKRI. As a Senior Research Fellow, https://bit.ly/SnrResFellMachIntell, you are expected to work alongside the scientific coordinator of the PRIMI project, Prof. Di Nuovo, and support him in the high-level management of the project activities. It will also be your responsibility to carry out independent research as required by the project and provide leadership and support to the other staff, along with the supervision of a PhD student's research on the topics of the PRIMI project. It will be your responsibility to guarantee the delivery of research objectives, including the day-to-day management and implementation of the research tasks, e.g. design and carry-out neuro-robotic experiments, assist with data collection and perform both quantitative and qualitative analysis, develop and maintain open-source software, prepare high-quality scientific outputs, and present and organise at international events. As a Research Fellow https://bit.ly/ResFellNeuroRobot, you will carry out independent research as required by the project, provide leadership, and support the supervision of a PhD student researching on the topics of the PRIMI project. Under the mentorship of Prof. Di Nuovo, the research fellow will guarantee the delivery of the research objectives, including the day-to-day management and implementation of the research tasks, e.g. design and carry out neuro-robotic experiments, assist with data collection and perform both quantitative and qualitative analysis, develop and maintain open-source software, prepare high-quality scientific outputs, present and organise at international events. Please read the job information pack in the links above, which includes the full job description and person specification, available on our website for more details: https://www.shu.ac.uk/jobs/apply-for-jobs Alessandro Di Nuovo, PhD Professor of Machine Intelligence College of Business, Technology and Engineering Sheffield Hallam University, United Kingdom Email: a.dinuovo(a)shu.ac.uk<mailto:a.dinuovo@shu.ac.uk>

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Postdoctoral position at the Cluster for advanced study of collective behavior ( deadline 15th Sept 2023)
by Ahmed El Hady Aug. 24, 2023

Aug. 24, 2023

Dear Colleagues, We are seeking a PostDoc with a quantitative background who has finished (or about to finish) a doctoral degree in a quantitative field preferably but not limited to physics. The candidate should show enthusiasm for tackling theoretical foundations of behavior. The PostDoc will join our interdisciplinary and international team studying social foraging in animal groups. The researcher will be based in the integrative biophysics group at the University of Konstanz and Max Planck Institute of Animal Behavior, located in Konstanz, Germany. The integrative biophysics group led by Dr. Ahmed Elhady is focused on theoretical and computational understanding of mechanisms underlying foraging. The group has an extensive network of local and international collaborators. Through those collaborations, the PostDoc researcher will have access to a large number of data sets depicting foraging behaviors in locusts, rodents, non-human primates (marmosets) and human performing similar social foraging tasks. The PostDoc project can potentially address the following questions: 1. What are the quantitative foraging decision strategies employed by a particular animal species during social foraging? 2. How does those decision strategies compare across animal species in a quantitative evolutionary manner? 3. How did evolutionary processes quantitatively shape foraging behaviours? 4. How can one extend social foraging theory to account for different group size and different spatial environmental constraints? For a glimpse of our research work , please check this talk given by the group leader Ahmed Elhady : https://www.youtube.com/watch?v=bRNnsgka0d0 For questions about the position and / or research of the integrative biophysics group, please do not hesitate to contact me via email : ahmed.el-hady(a)uni-konstanz.de The postdoc position will be embedded within the highly collaborative environment of the cluster for advanced study of collective behavior at the University of Konstanz. The expected starting date is 01/12/2023 and deadline for application is 15/09/2023. For more information and application , please visit the website :https://stellen.uni-konstanz.de/jobposting/4418ec7f80f7b2371d7a0e963fab434a58c726cd0 All the best regards, Ahmed elhady Dr. Ahmed Elhady Group leader Integrative biophysics group Cluster for Advanced Study of Collective Behavior Max Planck Institute of Animal Behavior Universitätsstraße 10, 78464 Konstanz Room ZT 907 Postbox 687 Tel.: +49 7531 88-4742

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10 days to submit your abstract for the fourth Canadian Computational Neuroscience Spotlight
by Scott Rich Aug. 23, 2023

Aug. 23, 2023

Dear Comp-Neuro mailing list members, The fourth edition of the Canadian Computational Neuroscience Spotlight (CCNS) <https://ccnsmeeting.ca/#04-ccns-2023-program>, taking place October 5-6 online via Crowdcast (register here <https://www.crowdcast.io/c/ccnsv4>), is fast approaching, as is our first deadline for abstract submission for trainee talks. *To be considered for a spotlight presentation, submit your abstract <https://docs.google.com/forms/d/e/1FAIpQLSeev-EA5ccwKapzRV43xD4NfDYGyDeAiWp…> by September 1 at 5 p.m. EDT*; late abstracts will be accepted until September 13 at 5 p.m. EDT but will only be considered for parallel talks as space allows. As a point of clarification, *you do not need to be Canadian, or be located at a Canadian institution, to submit an abstract*: while the meeting's namesake comes from its original impetus in the early stages of the pandemic, we have fully embraced the international nature of virtual meetings, including in these trainee talks. We invite submissions from trainees at all levels, and anticipate that all submissions reasonably falling under the broad banner of "computational neuroscience" will be accepted unless the demand far exceeds our expectations. Please feel free to reach out to the organizing committee if you have any questions. Sincerely, The CCNS Organizing Committee: Scott Rich <http://scottrich.strikingly.com/>, Ph.D. Research Fellow, SickKids Research Institute. Andreea Diaconescu <https://cognemo.com/>, Ph.D. Independent Scientist, Krembil Center for Neuroinformatics at CAMH. John Griffiths <https://t.co/AlUQymEUae?amp=1>, Ph.D. Independent Scientist, Krembil Center for Neuroinformatics at CAMH. Milad Lankarany <https://sites.google.com/view/lnsbsp/home>, Ph.D. Scientist, Krembil Research Institute.

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One week left: Call for papers: Symposium on the Mathematics of Neuroscience. 28th Sept-1st Oct 2023, Rhodes, Greece
by Battleday, Ruairidh Aug. 21, 2023

Aug. 21, 2023

Fourth International Symposium on the Mathematics of Neuroscience. 28th September - 1st October 2023, Old Town, Rhodes, Greece. —---------------- *One week left*: Call for papers —---------------- Thank you to everyone that has submitted so far! We invite submissions for this year’s conference on the mathematics of neuroscience: www.neuromonster.org In this exploratory symposium, we present and discuss general mathematical models of brain function. We give priority to those models that account for brain or behavioural data, or provide simulations to that effect. Submissions will be assigned to either a short talk, spotlight talk, or poster presentation. Keynote Speakers Professor Aapo Hyvärinen (University of Helsinki) Professor Janneke Jehee (Donders Institute) Professor Peter Latham (UCL) Session Chairs Biocomputation: Professor Dan V. Nicolau (King’s College London / Oxford) Probabilistic models: Dr Ruairidh McLennan Battleday (Harvard / MIT) Neurotheory: Dr James Whittington (Oxford / Stanford) Representational alignment: Dr Ilia Sucholutsky (Princeton) Confirmed Talks Professor Andrew Adamatzky (UWE) Professor Dan Nicolau Sr (McGill) Professor Bill Thompson (Berkeley) Professor Bradley Love (UCL) Professor Dr Thomas Parr (UCL) Dr Ilias Rentzeperis (SNRC) The symposium will be held virtually or in-person on the island of Rhodes, Greece from the 28th September - 1st October 2023 (www.neuromonster.org) Submission is by 250-word abstract before the 28th August 2023, emailed to the session chairs at battleday(a)thinkingaboutthinking.org, indicating the desired session. -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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short-term Post-doc opportunity: DCM for fMRI Cologne/Juelich, Germany
by Paola Mengotti Aug. 21, 2023

Aug. 21, 2023

Dear colleagues, We are currently looking for a postdoctoral researcher who is interested in applying DCM to an existing fMRI dataset on prediction-dependent motor preparation and re-programming in younger and older volunteers. Further details can be found here: https://www.stellenwerk.de/koeln/jobboerse/postdoctoral-positionfmx-crc-145… <https://www.stellenwerk.de/koeln/jobboerse/postdoctoral-positionfmx-crc-145…>

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Postdoc position in light-field imaging
by Goodhill, Geoffrey Aug. 20, 2023

Aug. 20, 2023

Postdoc position in the development of light field imaging technologies for recording neural activity The Goodhill lab at Washington University in St Louis is looking for a postdoc scientist for an NIH-funded project to develop novel microscopy methods for whole-brain calcium imaging in freely-behaving zebrafish. The ideal candidate will be experienced in building new optical imaging technologies, and interested in leveraging these skills to help push the frontiers of neural recording across large numbers of neurons simultaneously. Prior experience in neuroscience is not essential. The lab focuses on the computational principles underlying the development of neural circuits and behavior. The goal of this project is to construct light-field imaging techniques to record the activity of ~100,000 neurons in the larval zebrafish brain during unconstrained hunting behavior. This is a collaboration with Oliver Cossairt at Northwestern University and Florian Willomitzer at the University of Arizona, and you will be working with students and postdocs from a diverse array of backgrounds including biology, mathematics, physics and engineering. 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 both neuroscience and imaging (see e.g. https://engineering.wustl.edu/academics/programs/imaging-science) The Goodhill lab will soon move along with over 100 other labs 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 to g.goodhill(a)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 https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

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One more month to apply for postdoctoral position at the Cluster for Advanced study of Collective behavior
by Ahmed Elhady Aug. 15, 2023

Aug. 15, 2023

Dear Colleagues, We are seeking a PostDoc with a quantitative background who has finished (or about to finish) a doctoral degree in a quantitative field preferably but not limited to physics. The candidate should show enthusiasm for tackling theoretical foundations of behavior. The PostDoc will join our interdisciplinary and international team studying social foraging in animal groups. The researcher will be based in the integrative biophysics group at the University of Konstanz and Max Planck Institute of Animal Behavior, located in Konstanz, Germany. The integrative biophysics group led by Dr. Ahmed Elhady is focused on theoretical and computational understanding of mechanisms underlying foraging. The group has an extensive network of local and international collaborators. Through those collaborations, the PostDoc researcher will have access to a large number of data sets depicting foraging behaviors in locusts, rodents, non-human primates (marmosets) and human performing similar social foraging tasks. The PostDoc project can potentially address the following questions: 1. What are the quantitative foraging decision strategies employed by a particular animal species during social foraging? 2. How does those decision strategies compare across animal species in a quantitative evolutionary manner? 3. How did evolutionary processes quantitatively shape foraging behaviours? 4. How can one extend social foraging theory to account for different group size and different spatial environmental constraints? For a glimpse of our research work , please check this talk given by the group leader Ahmed Elhady : https://www.youtube.com/watch?v=bRNnsgka0d0 For questions about the position and / or research of the integrative biophysics group, please do not hesitate to contact me via email : ahmed.el-hady(a)uni-konstanz.de The postdoc position will be embedded within the highly collaborative environment of the cluster for advanced study of collective behavior at the University of Konstanz. The expected starting date is 01/12/2023 and deadline for application is 15/09/2023. For more information and application , please visit the website :https://stellen.uni-konstanz.de/jobposting/4418ec7f80f7b2371d7a0e963fab434a58c726cd0 All the best regards, Ahmed Dr. Ahmed Elhady Group leader Integrative biophysics group Cluster for Advanced Study of Collective Behavior Max Planck Institute of Animal Behavior Universitätsstraße 10, 78464 Konstanz Room ZT 907 Postbox 687 Tel.: +49 7531 88-4742

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Submit your abstract for the fourth Canadian Computational Neuroscience Spotlight, happening virtually via Crowdcast
by Scott Rich Aug. 14, 2023

Aug. 14, 2023

Dear Comp-Neuro mailing list members, The fourth edition of the Canadian Computational Neuroscience Spotlight (CCNS) <https://ccnsmeeting.ca/#04-ccns-2023-program> is now less than two months away (*October 5-6, fully online via Crowdcast*; register here <https://www.crowdcast.io/c/ccnsv4>). You can find out more information about our program at ccnsmeeting.ca, which will continue to be updated with details about the meeting as it approaches. We invite trainees at any level to submit abstracts <https://docs.google.com/forms/d/e/1FAIpQLSeev-EA5ccwKapzRV43xD4NfDYGyDeAiWp…>, and anticipate that all submissions reasonably falling under the broad banner of "computational neuroscience" will be accepted unless the demand far exceeds our expectations. Submissions that are both the most meritorious and best correspond with the themes of our sessions will be offered longer, "spotlight" presentations. *To be considered for a spotlight presentation, submit your abstract by September 1 at 5 p.m. EDT*; late abstracts will be accepted until September 13 at 5 p.m. EDT but will only be considered for parallel talks as space allows. Please feel free to reach out to the organizing committee if you have any questions. Sincerely, The CCNS Organizing Committee: Scott Rich <http://scottrich.strikingly.com/>, Ph.D. Research Fellow, SickKids Research Institute. Andreea Diaconescu <https://cognemo.com/>, Ph.D. Independent Scientist, Krembil Center for Neuroinformatics at CAMH. John Griffiths <https://t.co/AlUQymEUae?amp=1>, Ph.D. Independent Scientist, Krembil Center for Neuroinformatics at CAMH. Milad Lankarany <https://sites.google.com/view/lnsbsp/home>, Ph.D. Scientist, Krembil Research Institute.

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Call for papers: Symposium on the Mathematics of Neuroscience. 28th Sept-1st Oct 2023, Rhodes, Greece
by Battleday, Ruairidh Aug. 11, 2023

Aug. 11, 2023

Fourth International Symposium on the Mathematics of Neuroscience. 28th September - 1st October 2023, Old Town, Rhodes, Greece. —---------------- Call for papers —---------------- We invite submissions for this year’s conference on the mathematics of neuroscience: www.neuromonster.org In this exploratory symposium, we present and discuss general mathematical models of brain function. We give priority to those models that account for brain or behavioural data, or provide simulations to that effect. Submissions will be assigned to either a short talk, spotlight talk, or poster presentation. Keynote Speakers Professor Aapo Hyvärinen (University of Helsinki) Professor Janneke Jehee (Donders Institute) Session Chairs Biocomputation: Professor Dan V. Nicolau (King’s College London / Oxford) Probabilistic models: Dr Ruairidh McLennan Battleday (Harvard / MIT) Neurotheory: Dr James Whittington (Oxford / Stanford) Representational alignment: Dr Ilia Sucholutsky (Princeton) Confirmed Talks Professor Andrew Adamatzky (UWE) Professor Dan Nicolau Sr (McGill) Professor Bill Thompson (Berkeley) Professor Bradley Love (UCL) Dr Thomas Parr (UCL) Dr Ilias Rentzeperis (SNRC) The symposium will be held virtually or in-person on the island of Rhodes, Greece from the 28th September - 1st October 2023 (www.neuromonster.org) Submission is by 250-word abstract before the 27th August 2023, emailed to the session chairs at battleday(a)thinkingaboutthinking.org, indicating the desired session.

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Scientific Data Engineer position at Berkeley Lab to work on Neurodata Without Borders
by Ryan Ly Aug. 11, 2023

Aug. 11, 2023

Dear colleagues, The Computational Biosciences Group <https://crd.lbl.gov/divisions/scidata/computational-biosciences/> at Lawrence Berkeley National Lab in Berkeley, CA has an immediate opening for a Software and Data Engineer in the area of Data Management and Analysis with applications to bioscience research. The position is in support of the Neurodata Without Borders <https://www.nwb.org/> project, which develops methods for standardization, sharing, and analysis of neurophysiology data. The technologies developed will have broader applications to other science domains such as genomics, protein design, and other biological data, providing great opportunities for career growth. The overall objectives for this position are to develop new methods and software tools that enable scientific knowledge discovery using modern data management and machine learning technologies and advance the state-of-the-art in data-intensive analysis. This position will be part of an experienced team conducting R&D in the areas of FAIR data science and modern methods for data understanding. The candidate will be working as part of a multi-disciplinary team composed of computer scientists, data scientists, neuroscientists, and other domain biologists. For detailed information and how to apply, please see https://jobs.lbl.gov/jobs/scientific-data-engineer-5931 . Best, Ryan -- Ryan Ly Scientific Data Engineer Lawrence Berkeley National Laboratory 1 Cyclotron Road Mail Stop 59R4104 Berkeley, CA 94720 Email: rly(a)lbl.gov Pronouns: he/him

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Late breaking abstract submission: INCF Neuroinformatics Assembly 2023
by INCF Aug. 11, 2023

Aug. 11, 2023

*INCF Neuroinformatics Assembly 2023* September 18-20 Virtual Abstract submission deadline: June 23 50% discount for INCF members <https://www.incf.org/join-incf/individuals> Late-breaking abstract submission is now open for INCF Neuroinformatics Assembly 2023! Submit your abstract: bit.ly/INCF2023abstracts Join us for Assembly, hosted once again on the Gather platform! Our annual Assembly is a unique venue where neuroscience researchers, tool developers, standards developers, and infrastructure providers can meet with potential collaborators and hear about the latest advancements in neuroinformatics and FAIR neuroscience. Register: bit.ly/Assembly2023reg Learn more: bit.ly/INCF2023Assemblyblog

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Postdoctoral position in systems neuroscience - freely moving optophysiology - University of Bonn, Germany - Circuit Mechanisms of Behavior Lab
by Rose, Prof. Tobias Aug. 10, 2023

Aug. 10, 2023

Dear all, Our research group “Circuit Mechanisms of Behavior” at the University Hospital Bonn (lab Tobias Rose) invites applications for a full-time (38.5 hours/week) position as: Postdoctoral Researcher (m/f/d): Detailed description: <https://www.nature.com/naturecareers/job/12803739/postdoctoral-researcher-m…> Postdoctoral Researcher (m/f/d) - Bonn, Nordrhein-Westfalen (DE) job with Universitätsklinikum Bonn | 12803739<https://www.nature.com/naturecareers/job/12803739/postdoctoral-researcher-m…> nature.com<https://www.nature.com/naturecareers/job/12803739/postdoctoral-researcher-m…> [favicon.ico] <https://www.nature.com/naturecareers/job/12803739/postdoctoral-researcher-m…> Closing date: 31st of August 2023 Start date: flexible Contact: Tobias Rose, Tobias.Rose(a)ukbonn.de The selected candidate will investigate the "Encoding of Landmark Stability and Stability of Landmark Encoding”: You will study visual landmark encoding at the intersection of hippocampal, thalamic, and cortical inputs to retrosplenial cortex. You will use cutting-edge miniature two-photon Ca2+ imaging (https://tinyurl.com/mini2pCA1) enabling you to longitudinally record activity in defined, large neuronal populations and long-range afferents in freely moving animals. You will carry out rigorous neuronal and behavioral analyses within the confines of automatized closed-loop tasks tailored for visual navigation. This will involve the application of advanced tools for dense behavioral quantification, including multi-angle videography, inertial motion sensing, and egocentric recording with head-mounted cameras for the reconstruction of retinal input. Our aim is to gain a comprehensive understanding of the immediate and sustained multi-area neuronal representation of visual landmarks during unrestricted behavior. We aim to elucidate the mechanisms through which stable visual landmarks are encoded and the processes by which these representations are stabilized to facilitate robust allocentric navigation. Ideal candidates for this position should hold a doctorate in neuroscience, engineering, physics, or a related discipline, and should be deeply committed to rigorous neuroethology and technical development. We seek individuals with a "tinkering spirit", i.e., a strong penchant for problem-solving and creativity. Essential competencies include the demonstrated ability to design and carry out complex neuroscience experiments, robust programming capabilities, and a foundational knowledge of machine learning methodologies. Valuable experience would include a familiarity with rodent behavior, both in freely moving and head-fixed contexts. Although not mandatory, a background in visual neuroscience or navigation neuroscience would be viewed favorably. We are looking for a driven candidate with a solid record of accomplishment who is enthusiastic about interdisciplinary research. The successful candidate will be prepared to bring their skills and experience to our innovative and collaborative research environment. While this role is tailored towards a specific project, we are equally enthusiastic about supporting the development of your individual research pursuits. Applicants should send their application in a single pdf file, including a cover letter explaining your research interests and motivation for joining the team, CV, and contact information for two references. Applications will be shortlisted based on the above selection criteria. Please send your formal application to Prof. Tobias Rose via email until 31.08.2023. The Expected start date is September 2023 or at the earliest possible date thereafter. Informal enquires about the post are welcome. For more information on our research, please visit www.troselab.de (mastodon: @trose_neuro@neuromatch.social, twitter: @trose_neuro). -- Prof. Dr. Tobias Rose Circuit Mechanisms of Behavior Institute of Experimental Epileptology and Cognition Research University of Bonn Medical Center Life and Brain Center (Building 76) Venusberg-Campus 1 53127 Bonn Tel.: +49-228-6885 331 www.troselab.de<http://www.troselab.de/> ________________________________ Vorstand: Univ.-Prof. Dr. Dr. h.c. mult. Wolfgang Holzgreve, MBA, Vorstandsvorsitzender und Ärztlicher Direktor • Clemens Platzköster, Kaufmännischer Direktor und Stellv. Vorstandsvorsitzender • Univ.-Prof. Dr. Bernd Weber, Dekan der Med. Fakultät • Univ.-Prof. Dr. Alexandra Philipsen, Stellv. Ärztliche Direktorin • Alexander Pröbstl, Vorstand Pflege und Patientenservice • Aufsichtsratsvorsitzender: Univ.-Prof. Dr. Heinz Reichmann • Gerichtsstand Bonn • Finanzamt Bonn Innenstadt • USt-IdNr.: DE811917555 • Bankverbindung: Sparkasse KölnBonn • BIC COLSDE33 • IBAN DE52 3705 0198 0010 6506 61

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*Deadline extended* INCF Short Course: Introduction to Neuroinformatics
by INCF Aug. 10, 2023

Aug. 10, 2023

**Deadline extended* INCF Short Course: Introduction to Neuroinformatics* In coordination with the University of Washington and the West Big Data Innovation Hub October 2-4 Seattle, Washington, US Application deadline: August 31 50% discount for INCF members <https://www.incf.org/join-incf/individuals>! Registration has been extended for this Short Course on Neuroinformatics! This course will teach neuroscientists and researchers from related fields about neuroinformatics: the science & engineering of brain data. Speakers include: - Maryann Martone, University of California San Diego - Matthew Glasser, Washington University School of Medicine in St. Louis - Ariel Rokem, University of Washington - Ashley Juavinett, University of California, San Diego - Franco Pestilli, University of Texas at Austin - Yaroslav Halchenko, Dartmouth College, Center for Open Neuroscience - Dimitri Yatsenko, DataJoint ...and more! Topics covered include: - AI & machine learning - How to write a data management plan - Neuroethics, data governance, & international data sharing - Data science & reproducibility - Neuroinformatics - Neuroscience & neuroanatomy ...and more! Learn more: bit.ly/INCFcourse2023 Register here: bit.ly/INCFcourse2023reg

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1st EBRAINS National Node Germany Workshop ***26.09.2023 in Berlin, Germany***
by Frings, Maren Aug. 10, 2023

Aug. 10, 2023

Dear Colleagues, We would like to kindly invite you to participate the 1st EBRAINS National Node Germany Workshop which will take place on September 26, 2023 in Berlin from 09:00-13:30 CET. Guest Speakers: Dr. Seán Froudist-Walsh, University of Bristol Prof. Dr. Thomas Wachtler, Ludwig-Maximilians-University Munich Prof. Dr. Lena Oden, FernUni Hagen & FZ Jülich Prof. Dr. Bryan Strange, Technical University Madrid Dr. Andreas Rowald, Friedrich Alexander University Erlangen-Nürnberg Prof. Dr. Petra Ritter, Charité Universitätsmedizin Berlin Prof. Dr. Thanos Manos, Cergy Paris University For further details and for registration please browse to our <https://flagship.kip.uni-heidelberg.de/jss/HBPm?m=SgD&mI=254> event website. The EBRAINS National Node Germany (NNG) invites to the 1st EBRAINS NNG Workshop as a back-to-back event of the Bernstein Conference 2023 in Berlin, Germany. You will hear about the EBRAINS RI, its usage, an Expert Discussion on Digital tools to bridge the gap between experimental and computational neuroscience and will have the opportunity to network during our NNG lunch. <https://ebrains.eu> EBRAINS is a unique digital Research Infrastructure (RI), created by the EU-funded Human Brain Project. It is an open platform providing an extensive range of data and tools to enhance brain-related research. EBRAINS is a pan-European distributed network of services, that will in the future be organized through National Nodes. The <https://www.ebrains.eu/national-nodes/germany> EBRAINS NNG currently encompasses about 40 universities and research institutions across Germany joining forces to develop a common scientific and technical strategy, addressing the major scientific challenges of our time. The EBRAINS NNG partners offer unique services, including science liaison activities, for basic neuroscience, medical applications, and industry in the fields of: * High-Performance Computing * Neuromorphic Computing * Artificial Intelligence * Simulation * Robotics * Information privacy and security Programme Committee: Nicola Palomero-Gallagher, Petra Ritter, Fabrice Morin, Francesca Cavallaro, Björn Kindler, Sandra Diaz, Maren Frings In case of further questions please dont hesitate to contact ebrains-nng(a)fz-juelich.de <mailto:ebrains-nng@fz-juelich.de> Kind regards Maren Frings on behalf of the Programme Committee Dr. Maren Frings Project Manager, EBRAINS National Node Germany Jülich Supercomputing Centre Institute for Advanced Simulation Tel +49 2461 61-6431 Fax +49 2461 61-6656 <http://www.fz-juelich.de/ias/jsc> www.fz-juelich.de/ias/jsc ------------------------------------------------------------------- Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens, Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior -------------------------------------------------------------------

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Integrative Biophysics Group Opportunities
by Ahmed Elhady Aug. 6, 2023

Aug. 6, 2023

The Integrative Biophysics group (https://twitter.com/IntBioPhysics ) headed by Dr. Ahmed Elhady at the Cluster for Advanced study of collective behavior in the university of Konstanz , focuses on understanding theoretical foundations of biophysical phenomena from excitability up to social foraging. The group is part of the Cluster for Advanced Study of Collective behavior. We are a *Cluster of Excellence* within the Excellence Strategy of the German Federal and State Governments. Being a cooperation between the University of Konstanz and the Max Planck Institute of Animal Behavior, we use the extensive expertise in the region to create an interdisciplinary environment for the study of collective behaviour that is unique worldwide. "The Centre for the Advanced Study of Collective Behaviour" is dedicated to the study of collective behaviour across a variety of species and across different organizational levels. For more information on the Cluster of Excellence, please visit: Collective Behaviour | exc.uni-konstanz.de <https://www.exc.uni-konstanz.de/collective-behaviour/>. There are several opportunities to do research with us at the Integrative Biophysics group : 1. Postdoctoral position focused on theoretical analysis of social foraging involving theoretical modeling and advanced data analysis ( deadline: September 15th) . For more details , please check this : https://stellen.uni-konstanz.de/jobposting/4418ec7f80f7b2371d7a0e963fab434a… 2. Postdoctoral fellowships: we are very happy to discuss potential fellowship proposals relating to theoretical biophysics of collectives ( from cells to animals) that we can host in our group. Get in touch to discuss your ideas ! 3. University of Konstanz offers this unique independent postdoctoral fellowship ( deadline: October 10th), check it out here: https://www.uni-konstanz.de/zukunftskolleg/fellowships/postdoctoral-fellows… . If you are granted this fellowship, you can have a collaboration with us at the Integrative biophysics group. To get in touch and discuss ideas and potential projects, please email Dr. Ahmed elhady at : ahmed.el-hady(a)uni-konstanz.de All the best regards, Ahmed Elhady Dr. Ahmed El Hady Research Group Leader Cluster for Advanced Study of Collective Behavior Max Planck Institute of Animal Behavior Universitätsstraße 10, 78464 Konstanz Room ZT 907 Postbox 687 Tel.: +49 7531 88-4742

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Re: ChatSOME: A neural model of how children learn language meanings
by Grossberg, Stephen Aug. 4, 2023

Aug. 4, 2023

Dear Comp-Neuro colleagues, I am writing to call your attention to an article that I just published Open Access which is relevant to many current themes in neural modeling: Grossberg, S. (2023). How children learn to understand language meanings: A neural model of adult–child multimodal interactions in real-time. Frontiers in Psychology, August 2, 2023. Section on Cognitive Science, Volume 14. https://doi.org/10.3389/fpsyg.2023.1216479 Here is its Abstract: ++++++++++++++++++++++ This article describes a biological neural network model that can be used to explain how children learn to understand language meanings about the perceptual and affective events that they consciously experience. This kind of learning often occurs when a child interacts with an adult teacher to learn language meanings about events that they experience together. Multiple types of self-organizing brain processes are involved in learning language meanings, including processes that control conscious visual perception, joint attention, object learning and conscious recognition, cognitive working memory, cognitive planning, emotion, cognitive-emotional interactions, volition, and goal-oriented actions. The article shows how all of these brain processes interact to enable learning of language meanings to occur. The article also contrasts these human capabilities with AI models like ChatGPT. The current model is called the ChatSOME model, where SOME abbreviates Self-Organizing Meaning. +++++++++++++++++++++++++++++++++ These contributions build upon results that are described in my recently published Magnum Opus: Conscious Mind, Resonant Brain: How Each Brain Makes a Mind https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552 that I wrote to be self-contained and non-technical in a conversational style for the general public. Best, Steve Stephen Grossberg Wang Professor of Cognitive and Neural Systems Director, Center for Adaptive Systems Emeritus Professor of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering Boston University sites.bu.edu/steveg/ steve(a)bu.edu<mailto:steve@bu.edu> http://en.wikipedia.org/wiki/Stephen_Grossberg http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en https://sites.bu.edu/steveg/files/2021/08/Grossberg-CV-8-14-21.pdf https://youtu.be/9n5AnvFur7I https://www.youtube.com/watch?v=_hBye6JQCh4

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ESI SyNC 2023: September 14 - 15
by El Mahmoudi, Nada Aug. 4, 2023

Aug. 4, 2023

[https://www.esi-frankfurt.de/img/esisync/esisync2023_header.jpg] Linking hypotheses: where neuroscience, computation, and cognition meet Dear Neuroscientists, We are happy to announce that the Ernst Strüngmann Institute Systems Neuroscience Conference (ESI SyNC) 2023 will take place in-person and online this year, on September 14 and 15 at the Ernst Strüngmann Institute in Frankfurt, Germany. This year’s topic is: Linking hypotheses: where neuroscience, computation, and cognition meet. Eleven speakers will discuss their research and views on the intersection of systems, behavioral, and computational neuroscience from a wide array of viewpoints: from basic network interactions in the brain probed at the electrophysiological and mechanistic levels, to complex animal behavior and cognition. This year’s conference is an outstanding platform bringing together sub-fields in the neurosciences that find themselves, regrettably often, treated in isolation. Young researchers will have the opportunity to exchange ideas and raise questions in formal and informal discussions. There will also be a poster session in person for which we welcome submissions. This conference is free for online participants and researchers in Frankfurt am Main. Registration Link: https://survey.academiccloud.de/index.php/763913?lang=en List of speakers: https://www.esi-frankfurt.de/newevent/ Best Regards, ESI-Sync Organizing Committee

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Postdoc position in computational systems neuroscience, Voigts Lab, Janelia
by Voigts, Jakob Aug. 2, 2023

Aug. 2, 2023

The Voigts Lab at HHMI Janelia Research Campus is recruiting postdocs to work on how neocortex learns and applies models of the world to enable complex cognitive abilities. We will study flexible cognition by examining naturalistic behaviors that require animals to perform sequential computations, yet are learned quickly. We'll be able to throw whatever technology is needed at the problem of combining sufficient measurements with complex naturalistic behavior in mice, e.g. large-scale electrophysiology or calcium imaging, unrestrained behavior in large complex environments, closed-loop manipulations, circuit reconstruction, etc., but more importantly we'll work on the challenge of modeling, analyzing, and ultimately learning from data when there are no strictly repeated trials to average over. The postdoc position could focus on experimental and/or computational approaches to these questions, depending on the interests and experience of the candidate. We're part of the new Mechanistic Cognitive Neuroscience research area at Janelia. Postdocs will have access to an unusual amount of resources and support, allowing us to make rapid progress on these challenging questions. We'll also work closely with experimental, theoretical, methods, and machine learning researchers in- and outside of Janelia to make this research program possible, collaborative, and fun. Our lab website is https://www.voigtslab.org<https://www.voigtslab.org/>. To apply, please send a brief statement of research interests and CV to voigtsj(a)janelia.hhmi.org<mailto:voigtsj@janelia.hhmi.org>

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Two postdoc positions in neuroAI
by Rui Ponte Costa Aug. 2, 2023

Aug. 2, 2023

Dear all, We are seeking to appoint two Postdoctoral Research Scientists to join the Neural and Machine Learning Group part of the world-class Oxford Neuroscience and the Oxford Neurotheory initiative. You will carry out research at the intersection between computational neuroscience and machine learning, closely informed by experimental observations. More details here: shorturl.at/hkwG3<https://t.co/d7ugbOLFDV> and of our group: neuralml.github.io<https://neuralml.github.io/> Best wishes, Rui Ponte Costa Group Leader, Neural and Machine Learning group<https://neuralml.github.io/> Centre for Neural Circuits and Behaviour | Oxford Neurotheory Department of Physiology, Anatomy and Genetics Department of Experimental Psychology (honorary member) University of Oxford, UK

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[Job][PhD] at Inria Bordeaux, FR: From Reservoir Transformers to BrainGPT
by Xavier Hinaut Aug. 2, 2023

Aug. 2, 2023

PhD position available at Inria, Bordeaux, France: "From Reservoir Transformers to BrainGPT" # Keywords Transformers; Reservoir Computing; Computational Neuroscience # Duration & start date 3 years starting 1st October 2023 (estimated) # Contact & Application Informal contact/questions and application: email to xavier dot hinaut at inria dot fr Application & More info: https://recrutement.inria.fr/public/classic/en/offres/2023-06611 All positions available: https://github.com/neuronalX/phd-and-postdoc-positions Deadline: Applications will be considered on a rolling basis. A candidate will be selected as soon as a suitable profile is found. # Context This PhD thesis is part of the BrainGPT "Inria Exploratory Action" project. In the wake of the emergence of large-scale language models such as ChatGPT, the BrainGPT project is at the forefront of research in Artificial Intelligence and Computational Neuroscience. These models, although remarkably powerful, do not reflect the way in which our brains process and learn language. BrainGPT is rising to the challenge by focusing on the development of models that are more faithful to human cognitive functioning, inspired by data on brain activity during listening or reading. The ambition is to create more efficient models that are less dependent on intensive calculations and massive volumes of data. BrainGPT will open up new perspectives on our understanding of language and cognition. # Project and Work description The rapid rise in performance of language models, as demonstrated by the recent appeal of ChatGPT, is undeniable. However, the computational cost and environmental impact associated with such models are often overlooked [1]. These models rely on Transformers [2], which facilitate unsupervised learning on a large volume of data. These same models are used to predict brain activity from functional magnetic resonance imaging (fMRI) or magnetoencephalography (MEG), an application our team also exploits [3]. The main ambition of the BrainGPT project is to combine the explainability of mechanistic models with the predictive power of Transformers to analyze brain imaging data. Today, on the one hand we have explanatory but less predictive mechanistic models, such as those based on Reservoir Computing, and on the other hand, high-performance predictive models, but not explanatory, like Transformers. Our goal is to combine the best of these two approaches, to develop more efficient ("sample efficient") models inspired by Transformers, which more faithfully reflect the how the brain works, while improving the predictive power of mechanistic models. Towards this ambition, the BrainGPT project seeks to identify the key mechanisms that allow Transformers to predict brain activity. Furthermore, our project strives to build models that are more biologically plausible than Transformers, incorporating the most relevant components for predicting brain activity, while integrating constraints derived from human cognition studies. The long-term objectives of the BrainGPT project are as follows: - Making Transformers more biologically plausible, which could improve the prediction of brain activity by imaging (fMRI, MEG, etc.). - Proposing new perspectives and computing paradigms that do not rely exclusively on gradient backpropagation, given its high computational and energy cost. - Reducing the energy footprint of Transformers by minimizing the computational costs associated with their learning. In summary, the thesis will mainly consist of developing new bio-inspired models inspired by the mechanisms, learning methods, and emerging behaviors of Large Language Models (LLMs) and Transformers. Subsequently, in collaboration with our collaborators, these models will be tested to assess their ability to predict brain activity from imaging data. [1] Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021, March). On the dangers of stochastic parrots: Can language models be too big?🦜. In Proc. of the 2021 ACM conference on fairness, accountability, and transparency (pp. 610-623). [2] Vaswani, A. et al. (2017) Attention is all you need. In Proc. of Advances in neural information processing systems. [3] Oota, S. R., Trouvain, N., Alexandre, F., & Hinaut, X. (2023, August). MEG Encoding using Word Context Semantics in Listening Stories. In Proc. of INTERSPEECH 2023. # Skills Ideal Candidate Profile: - Holds an engineering or scientific degree and/or a PhD in digital sciences (computer science, automation, signal processing). - Has a first professional experience (6 months of internship or more) in Machine Learning and Python development. Especially in one or more of the following: Recurrent Neural Networks (in particular Reservoir Computing), Transformers, Large Language Models. - Possesses strong expertise in the scientific Python software and scientific stack (numpy/scipy). - Demonstrates a solid grasp of linear algebra concepts. - Proficiency in technical English is crucial, as it enables efficient collaboration with our international partners and effective presentations at conferences. - Has proven experience with version management, familiarity with Git, and proficiency in using the GitHub platform. # Advisor & Location Xavier Hinaut Inria Bordeaux & Institute for Neurodegenerative diseases (Pellegrin Hospital Campus, Bordeaux). Best regards, Xavier Hinaut Inria Research Scientist www.xavierhinaut.com -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en --- Our Reservoir Computing library: https://github.com/reservoirpy/reservoirpy

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[JOBS] Tenure Track Assistant Professor Intelligent Systems @ Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence at the University of Groningen, the Netherlands.
by Kerstin Bunte Aug. 2, 2023

Aug. 2, 2023

Tenure Track Assistant Professor Intelligent Systems https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… Closing date = 17-9-2023 We offer a Tenure Track Assistant Professor position with a research profile in Intelligent Systems within the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence at the University of Groningen, The Netherlands. Intelligent Systems aim to give computers and cyber-physical systems the abilities to perceive, analyze and learn from data, make decisions, and enhance human capabilities. The research area has experienced tremendous growth in recent years, especially due to the increase in incorporation of intelligent systems into nearly every aspect of our lives. The societal relevance of sustainability, efficiency, robustness, understanding and guarantees of algorithms is gaining more and more importance, not only in software but also in combination with cyber-physical systems. Relevant aspects are: the theory of machine learning, artificial intelligence and the mathematics of computing (ACM Computing Classification System, 2012 Revision). For this position, possible research directions include (but are not limited to) the theory and application of novel machine learning and artificial intelligence methods with an emphasis on solving pressing open questions, such as efficiency, transparency and interpretability, fairness, the integration of multi-modal and complex heterogeneous data, causal inference, continuous machine learning, generative and dynamic systems. Complex problems demand an increasing amount of interdisciplinary and cross-domain knowledge. Therefore, backgrounds in information theory, probabilistic representations, causality and computational geometry are also welcome to apply. As Assistant Professor with a focus on research, you will: - set up and develop your own research line and research group - supervise PhD students - acquire external funding - promote the societal relevance of your research - teach in and contribute to the development of the degree programs of the School of Science and Engineering, especially courses with computing science content - contribute to the organization of the faculty, for example by participating in working groups and committees, in the domains of teaching, research and management. The position will be embedded in the Intelligent Systems research unit. Our research areas include biologically inspired computational modeling, the theory of machine learning and algorithmic development, as well as image processing with mathematical morphology, machine learning and AI. National and international research collaborations span a multitude of application domains, including medical sciences and health care, natural sciences (astronomy, bioinformatics), remote sensing, computer vision, robotics, smart industry and engineering. About the University of Groningen Since its foundation in 1614, the University of Groningen has enjoyed an international reputation as a dynamic and innovative center of higher education offering high-quality teaching and research. Balanced study and career paths in a wide variety of disciplines encourage currently more than 37,000 students and researchers to develop their own individual talents. Belonging to the best research universities in Europe and the top 100 universities in the world, the University of Groningen is truly an international place of knowledge. More information can be found at: https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… Kind regards, Kerstin -- Kerstin Bunte, Associate Professor | Rosalind Franklin Fellow Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence Faculty of Science and Engineering University of Groningen P.O. Box 407, 9700 AK Groningen The Netherlands Email: k.bunte(a)rug.nl web: http://www.cs.rug.nl/~kbunte/

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Advanced Electrophysiology Post-doc Position Available - Interventional Psychiatry Program, Minneapolis, MN, USA
by Hiba Sheheitli Aug. 1, 2023

Aug. 1, 2023

*About the Job* Dr. Ziad Nahas (Interventional Psychiatry Lab) in the University of Minnesota Department of Psychiatry and Behavioral Sciences is seeking an outstanding candidate for a postdoctoral position to conduct and analyze the effects of neuromodulation on brain activity in mood disorders. Candidates should be passionate about advancing knowledge in the area of translational research of depressive disorders and other mental health conditions with a focus on invasive and non-invasive brain stimulation treatments. The position is available June 1, 2023, and funding is available for at least two years. *Qualifications* Required Qualifications: ●PhD in relevant field (neuroscience, psychology, cognitive science) ●Strong programming and/or data analysis skills. MATLAB or Python is essential. C/C++ (and derivatives), LabVIEW, and scripting languages could be useful. Prior experience with data acquisition hardware including behavioral as well as EEG would be helpful. Proficiency with Microsoft Office software ●Experience with neurophysiology (human or animal), psychophysics and/or brain stimulation is ideal. ●Excellent verbal and written communication skills, with specific documentation of those skills through published work and oral scientific presentations. ●Demonstrated ability to work independently and to independently overcome complex technical challenges. ●Interpersonal skills appropriate for collaboration in a very multidisciplinary and highly diverse environment. Preferred Qualifications: •Previous experience with psychiatric patient populations, the biological mechanisms of mental illness, and/or medical device development. •Signal processing and/or computer science background. •Previous experience with human functional imaging or electrophysiology. *About the Department* Dr. Ziad Nahas’s Lab is located primarily at the Interventional Psychiatry Program’s St. Louis Park clinic, with additional study activity at UMN and M Health Fairview sites on the UMN campus. Our work focuses on advancing translational research of mood dysregulation and depressive disorders. Specific interests and areas of expertise include: ● Improving patient care of treatment resistant disorders using neuromodulation techniques. ● Functional neuroimaging (fMRI), electroencephalography (EEG) and brain stimulation modalities: Transcranial magnetic stimulation (TMS), transcranial alternating current stimulation (tACS), vagus nerve stimulation (VNS), prefrontal cortical stimulation (PCS), deep brain stimulation (DBS), electroconvulsive therapy (ECT) and focal electrically administered seizure therapy (FEAST). ● Increasing equitable access to neuromodulation interventions for patient care. To learn more about Dr Ziad Nahas and the Department of Psychiatry & Behavioral Sciences, please visit: https://med.umn.edu/bio/psychiatry/ziad-nahas *Apply here: * https://hr.umn.edu/Jobs/Find-Job <https://hr.umn.edu/Jobs/Find-Job> (Click on External Candidates and search for 355003 to find the Job Posting)

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NeurIPS Workshop "Information-Theoretic Principles in Cognitive Systems"
by Rava A. da Silveira July 30, 2023

July 30, 2023

NeurIPS Workshop: "Information-Theoretic Principles in Cognitive Systems" CALL FOR PAPERS Website (with submission information): https://sites.google.com/view/infocog-neurips-2023/call-for-papers Contact: infocog.neurips2023(a)gmail.com Important Dates: * Paper submission deadline: September 20, 2023 * Author notification: October 27, 2023 * Camera ready deadline: November 27, 2023 The second InfoCog@NeurIPS workshop aims to further the understanding of information flow in cognitive processes and neural networks models of cognition by bringing together researchers from multiple disciplines, including machine learning, cognitive science, neuroscience, and information theory. This is the second workshop of this kind in NeurIPS. This year the workshop will continue last year’s community-building momentum and will additionally focus on advancing two main goals: First, providing a fruitful platform for discussing formulations of storage and processing of information in human and artificial cognitive systems, via information-theoretic measures. Specifically, we aim to further integrate information theory researchers in such discussions, deepening the mathematical knowledge and tools shared across disciplines. [NZ1] Second, facilitating research on addressing the challenges of computing information theoretic quantities, specifically for the needs of cognitive science and machine learning. We invite short submissions (up to 4 pages – NeurIPS format) that present original work related to information theory and cognitive systems, and particularly encourage submissions of collaborative interdisciplinary work. Examples of specific topics of interest include but are not limited to: * Novel information-theoretic approaches to cognitive functions (e.g., perception, decision making, language, social reasoning, etc.) * Method and approaches for the validation of information theoretic formalisms in human and artificial cognition * Novel methods and approaches for the computation and/or estimation of information theoretic quantities and their applications to human and artificial cognition * Challenges and limitations of the use of information theory in studying cognitive systems * Application of information theory to training human-aligned artificial agents, i.e., agents that can better communicate and cooperate with humans All accepted papers will be presented in a poster session during the workshop, and a number of papers will also be selected for an oral presentation. We expect to have limited resources to offer financial aid to selected participants. More details will follow upon acceptance.

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Postdoc in computational modeling at Stanford Cognitive & Systems Neuroscience Lab
by Mai-Phuong K Bo July 27, 2023

July 27, 2023

The Stanford Cognitive and Systems Neuroscience Laboratory (scsnl.stanford.edu) invites applications for a postdoctoral fellowship in human brain network analysis and modeling. We seek candidates with strong research backgrounds in one or more of the following areas: resting-state and task-evoked fMRI connectivity, structural HARDI-based connectivity, neurophysiological modeling of brain networks, Bayesian modeling, machine learning, and deep neural networks. Candidates must have strong computational skills and a PhD in computational neuroscience, computer science, physics, biomedical engineering or related fields. This is an exciting opportunity to work on multiple NIH- and Stanford-funded projects using multimodal (fMRI, optogenetic, DTI, EEG) brain imaging techniques in multiple clinical populations and normative groups. The successful candidate will develop a vigorous research program that contributes to, and complements, ongoing research studies. The candidate will have access to state-of-the-art brain imaging and HPC/GPU facilities.  Please email a CV, statement of research interests and relevant background, and have three letters of reference sent to Prof. Vinod Menon at  scsnl.stanford+postdoc(a)gmail.com<mailto:scsnl.stanford@gmail.com> Mai-Phuong Bo (She/Her) Lab & Recruitment Manager Stanford Cognitive & Systems Neuroscience Lab Department of Psychiatry & Behavioral Sciences Email: maipbo(a)stanford.edu [cid:93b74359-266e-493c-9def-d9fb37f515df]

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PhD position at the TU Delft at the crossroads of machine learning and hardware design
by justin＠dauwels.com July 27, 2023

July 27, 2023

Dear colleagues, We are looking for a highly motivated Ph.D. candidate with a background in machine learning and/or in electrical engineering for a project at the TU Delft at the crossroads of machine learning and hardware design. Building autonomous agents that can reliably compute and take decisions in noisy and uncontrolled environments is among the top research areas in today's artificial intelligence (AI). Yet, doing so within constrained power budgets for battery-operated edge devices is currently an open challenge. Indeed, while current cutting-edge deep-learning approaches can now reach acceptable performance in such environments, they are still subject to adversarial attacks and need a backend of GPU clusters, thereby requiring 4 to 6 orders of magnitude more power than is allowed for by the edge power budgets. On both ends of the spectrum of learning algorithms are the error backpropagation algorithm, i.e. the workhorse of modern deep learning, and local Hebbian learning rules, which are inspired by the brain's synaptic plasticity mechanisms. The former offers excellent performance but its energy/memory footprint is incompatible with low-power edge devices, while the latter allows for low-cost hardware implementations but can hardly be deployed beyond toy problems. In this PhD project, you will tackle this challenge by: * developing a theoretical framework that will allow exploring and generating, in a use-case-driven fashion, emerging learning algorithms that combine the strengths of local brain-inspired learning and backprop, * with a hardware/algorithm co-design approach, developing custom neuromorphic silicon prototypes (digital, then mixed-signal) for the proposed learning rules * investigating the deployment of these adaptive prototypes in resource-constrained use cases at the edge, such as brain implants for seizure detection. This project is a collaboration between Dr. Charlotte Frenkel (neuromorphic hardware, hardware/algorithm co-design, brain-inspired machine learning) and Dr. Justin Dauwels (Bayesian machine learning, computational neuroscience, biosignal processing). About the Department of Microelectronics at TU Delft: https://microelectronics.tudelft.nl/ About the CogSys research lab: https://ei.et.tudelft.nl/Research/theme.php?id=63 The expected starting date is 01/11/2023 and deadline for application is 01/09/2023. For more information and to apply, please visit this website <https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details? jobId=13043&jobTitle=PhD%20Position%20in%20Bio-plausible%20Local%20Learning% 20Rules%20for%20Adaptive%20Neuromorphic%20Hardware> . Greetings, Justin. _______________________________________________________________ Justin Dauwels j.h.g.dauwels(a)tudelft.nl <mailto:j.h.g.dauwels@tudelft.nl> Associate Professor http://cas.tudelft.nl/ Fac. EEMCS Section Circuits and Systems Mekelweg 4 2628 CD Delft, The Netherlands _____________________________________________________________________

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SUBMIT YOUR WORK TO COMPLEX NETWORKS 2023 BEFORE SEPT. 02, 2023
by Hocine Cherifi July 26, 2023

July 26, 2023

*12* *th **International Conference on Complex Networks & Their Applications* Menton Riviera <https://www.menton-riviera-merveilles.co.uk/>, France November 28 - 30, 2023 COMPLEX NETWORKS 2023 <https://complexnetworks.org/> You are cordially invited to submit your contribution until *September 02, 2023*. *SPEAKERS* · Michael Bronstein <https://www.cs.ox.ac.uk/people/michael.bronstein/> University of Oxford UK · Kathleen Carley <https://www.cylab.cmu.edu/directory/bios/carley-kathleen.html> Carnegie Mellon University USA · Manlio De Domenico <https://manliodedomenico.com/> University of Padua Italy · Danai Koutra <http://web.eecs.umich.edu/~dkoutra/> University of Michigan USA · Romualdo Pastor-Satorras <http://www.fen.upc.edu/~romu/> Univ. Politècnica de Catalunya Spain · Tao Zhou <https://scholar.google.com/citations?user=MXgWgmEAAAAJ&hl=en> USTC China *TUTORIALS* · Tiago de Paula Peixoto <https://skewed.de/tiago> CEU Vienna Austria · Maria Liakata <https://www.turing.ac.uk/people/researchers/maria-liakata> Queen Mary University of London UK *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. · *Papers *will be included in the conference *proceedings edited by Springer* · *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science <https://appliednetsci.springeropen.com/> edited by Springer o Advances in Complex Systems <https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific o Complex Systems <https://www.complex-systems.com/about/> o Entropy <https://www.mdpi.com/journal/entropy> edited by MDPI o PLOS <https://journals.plos.org/plosone/> one <https://journals.plos.org/plosone/> o Social Network Analysis and Mining <https://link.springer.com/journal/13278> edited by Springer *SUBMISSION* https://complexnetworks.org/submission/ *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Epidemics o Community Structure o Motifs o Network Mining o Network embedding o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Controllability o Synchronization o Visual Representation o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems o Financial and Economic Networks o Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics o Earth Sciences Applications o Resilience and Robustness of Complex Networks o Networks for Physical Infrastructures o Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks o Graph-Based Natural Language Processing *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA) 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/>

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Call for Abstract Submission FRoBio: Freiburg Robotics and Biology Conference
by Timo Oess July 24, 2023

July 24, 2023

Dear all, We are pleased to announce the FRoBio: Freiburg Robotics and Biology Conference - Bringing together nature and technology. The conference will take place on 22nd of November until 24th of November 2023 at the University of Freiburg, Germany. The event brings together international experts of different disciplines, such as biology, chemistry, medicine, materials science, nanotechnology, electrical engineering, mechanical engineering, optics, and robotics to share so far untackled research questions or current challenges, novel methods and approaches that are applicable for multiple fields or interdisciplinary research. Abstract submission is now open for in-person participants and the deadline is September, 8th 2023. The registration for online participants will be open in October 2023. For further information on the conference and In-Person / Online Registration please visit the conference website. <https://www.frias.uni-freiburg.de/de/veranstaltungen/nachwuchskonferenzen/F…> We are looking forward to seeing you at FRoBio in November 2023! Best regards, The Organizing Committee

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Apply to the Allen Institute's OpenScope program
by Anton Arkhipov July 24, 2023

July 24, 2023

Dear Colleagues, Applications are now accepted for the Allen Institute's OpenScope program. Please apply! The OpenScope program, supported by the NIH BRAIN grant U24NS113646, provides the neuroscience community access to the Allen Brain Observatories. The program was inspired by astronomical observatories, which allow a community of scientists to access platforms too large or expensive for most laboratories. Through OpenScope, anyone can propose experiments for Allen Institute staff to run on Allen Institute pipelines. If selected, the proposed experiments are performed with the Allen Institute's verified, reproducible, and open protocols for cutting-edge behavioral training, in vivo Neuropixels electrophysiology, or two-photon calcium imaging. Data produced from the experiments is then shared with applicants, and, eventually, the broader community. How to apply? The program uses a double-blinded proposal review. Individuals or teams draft and submit a proposal, with an applicant commitment to perform data analysis and pursue publication. * RFP released July 10, 2023 * 2pg Letter of Intent Due: September 12th 2023 * 6pg Full Proposal Due: November 7th 2023 * For more details: https://alleninstitute.org/division/mindscope/openscope/ * If any questions or to discuss projects, please reach out to openscope(a)alleninstitute.org<mailto:openscope@alleninstitute.org> New for 2023: Community Proposal Research Questions and Experimental Methods are proposed and voted on by the community in an open, collaborative process. The resulting data is immediately available to the community for anyone to analyze and publish. * Posted on Allen Brain Map Community Forum: https://community.brain-map.org/ * Opportunity announced in June 2023 * Research Question Phase: June-July 2023 * Methods & Analysis Phase: July-September 2023 * Final Vote by the community in November 2023 during SFN Best wishes, Anton. Anton Arkhipov Investigator Allen Institute, Seattle, WA

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ICANN 2023 - Call for Participation
by Sebastian Otte July 23, 2023

July 23, 2023

32nd International Conference on Artificial Neural Networks ICANN 2023 https://e-nns.org/icann2023 !!! EARLY BIRD REGISTRATION ENDS ON JULY 25 !!! Conference Dates: 26th to 29th of September 2023 ======================================================================= The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2023 the School of Engineering of Democritus University of Thrace, Greece, will organize ICANN 2023. This will be held at Astoria Capsis Hotel at Heraklion city, Crete, Greece from 26th to 29th of September 2023. The conference will be organized as a HYBRID event. CONFERENCE TOPICS ICANN 2023 is a conference featuring tracks in Brain Inspired Computing, Machine Learning, and Artificial Neural Networks, with strong cross-disciplinary interactions and applications. A non-exhaustive list of topics includes: Machine Learning: Deep Learning, Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models, Recurrent Networks, Ethics of AI Brain Inspired Computing: Cognitive Models, Computational Neuroscience, Self-Organization, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Cognitive Neuroscience, Brain Informatics, Perception and Action, Spiking Neural Networks Neural Applications for: Bioinformatics, Biomedicine, Intelligent Robotics, Neurorobotics, Language Processing, Speech Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neuromorphic Computing and Edge AI, Evolutionary Neural Networks SPECIAL SESSIONS ICANN 2023 will host three special sessions: - Neurorobotics (track NRR 2023) - Recent Advances in Spiking Neural Networks (track ARNN 2023) - The challenge of errors, stability, robustness, and accuracy in deep neural networks (track ESRA in DNN 2023) BEST PAPER AWARDS ENNS will sponsor a maximum of four best paper awards. All awards will be presented during the final ceremony. TRAVEL GRANTS The European Neural Network Society sponsors a number of Student Travel Grants covering part of the costs for attending ICANN. Details are provided on the conference website. ORGANIZATION General Chairs Iliadis Lazaros, Democritus University of Thrace, Greece Plamen Angelov, Lancaster University, UK Program Chairs Antonios Papaleonidas, Democritus University of Thrace, Greece Elias Pimenidis, UWE Bristol, UK Chrisina Jayne, Teesside University, UK Honorary Chairs Stefan Wermter, University of Hamburg, Germany Vera Kurkova, Czech Academy of Sciences, Czech Republic Nikola Kasabov, Auckland University of Technology, New Zealand Organizing Chairs Antonios Papaleonidas, Democritus University of Thrace, Greece Anastasios Panagiotis Psathas, Democritus University of Thrace, Greece George Magoulas, University of London, Birkbeck College, UK Haralambos Mouratidis, University of Essex, UK Award Chairs Stefan Wermter, University of Hamburg, Germany Chukiong Loo, University of Malaysia, Malaysia Communication Chairs Sebastian Otte, University of Tübingen, Germany Anastasios Panagiotis Psathas, Democritus University of Thrace, Greece

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Mathematical Bridges for the Brain: Krembil Computational Neuroscience Symposium (October 2--3, 2023; Toronto, Canada)
by De Pitta, Maurizio July 23, 2023

July 23, 2023

Dear colleagues, Please mark your calendars for this fall's Krembil Computational Neuroscience Hub Symposium on "Mathematical Bridges for the Brain: Theory and Practice in Neural Health and Disease," which will happen on October 2--3, 2023, hosted by the Krembil Research Center in Toronto, Canada. The Symposium has been thoughtfully crafted to showcase cutting-edge computational approaches that bridge across various brain scales, ranging from cellular to systems neuroscience, with a particular focus on translational and clinical applications. By bringing together prominent experts from the intersection of mathematics, engineering, clinical, and experimental neurosciences, we aim to delve into the depths of the latest computational methods in understanding brain pathophysiology. Speakers include: Emery Brown (Harvard/MIT) Maurizio De Pitta (Krembil / Basque Center for Applied Mathematics) Brent Doiron (UChicago) Salvador Dura-Bernal (SUNY) Lorraine Kalia (Krembil, UHN) Rahul Krishnan (UToronto) Milad Lankarany (Krembil/UToronto) Jérémie Lefebvre (UOttawa/Krembil) Wilten Nicola (UCalgary) Annabelle Singer (Georgia Tech/Emory) In keeping with the long-standing tradition of the KCNhub, the Symposium is not just a platform for academic exchange; it also presents a wonderful opportunity for networking and forging connections with fellow computational neuroscientists and digital medicine enthusiasts Please visit the Eventbrite site for further details on the program and registration https://www.eventbrite.ca/e/krembil-computational-neuroscience-kcn-symposiu… Due to the limited number of seats available, registration is free but mandatory. Looking forward to seeing you in Toronto this fall. On behalf of the Organizing Committee. Maurizio De Pitta ----- Maurizio DE PITTA Principal Investigator Neuron-Glia Interactions Lab (NGILab) Krembil Research Institute, 4KD-509 60 Leonard Ave, Toronto, ON M5T 0S8, CA +1.416.603.5800 ext. 3290 This e-mail may contain confidential and/or privileged information for the sole use of the intended recipient. Any review or distribution by anyone other than the person for whom it was originally intended is strictly prohibited. If you have received this e-mail in error, please contact the sender and delete all copies. Opinions, conclusions or other information contained in this e-mail may not be that of the organization. If you feel you have received an email from UHN of a commercial nature and would like to be removed from the sender's mailing list please do one of the following: (1) Follow any unsubscribe process the sender has included in their email (2) Where no unsubscribe process has been included, reply to the sender and type "unsubscribe" in the subject line. If you require additional information please go to our UHN Newsletters and Mailing Lists page. Please note that we are unable to automatically unsubscribe individuals from all UHN mailing lists. Patient Consent for Email: UHN patients may provide their consent to communicate with UHN about their care using email. All electronic communication carries some risk. Please visit the UHN website and search “Using email to Communicate with Your UHN Health Care Team” to learn about the risks of electronic communication and how to protect your privacy. You may withdraw your consent to receive emails from UHN at any time. Please contact your care provider, if you do not wish to receive emails from UHN.

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Neuronal data scientist position
by Nikolas Karalis July 23, 2023

July 23, 2023

If you are a data scientist, programmer, or engineer, with a keen interest in helping to understand the brain, consider joining our team Neuronal Circuits & Brain Dynamics <http://neuronaldynamics.eu/> at the Paris Brain Institute <https://institutducerveau-icm.org/en/> (ICM). We study the principles of neuronal circuit organization and brain dynamics. Our work focuses on unraveling the fascinating mysteries of how the brain generates internal states and how neuromodulators, such as dopamine and serotonin, influence neuronal activity and communication between brain regions during behavior. To achieve our goals, we perform large-scale recordings from thousands of neurons simultaneously using multimodal recordings, including electrophysiological or optical imaging approaches. We employ state-of-the-art techniques, including behavioral, optogenetic, imaging, electrophysiological, and genetic approaches in mice to record and manipulate the brain activity during behavior. Using this unprecedented data, we will be able to understand information flow in the brain in ways that would be unimaginable only a few years ago. However, the scale and complexity of this data provide major challenges and unique opportunities. We are looking for computationally-orientated researchers to join our team as temporary or permanent staff members, to help us develop methods to interact and analyze our multi-dimensional neurophysiological and behavioral data, and to develop innovative analysis approaches and efficient processing pipelines, to accelerate the progress of our research on our path to understanding the brain. As a data analyst in our group, you will interact closely with experimentalists and contribute crucially to the research. Our team values diversity and welcomes researchers from all backgrounds and profiles. If your profile aligns with our research needs, we encourage you to get in touch with us. Profile - Outstanding analytical and quantitative skills - Interest in neuronal dynamics and computation, behavior, and neural circuits - Ability to analyze multi-dimensional and multi-modal data - PhD or MSc in neuroscience, data science, computer science, applied mathematics, physics, or equivalent combination of degree and experience - Experience with computational statistics, data modeling and analysis, signal processing, and modern machine-learning methods - Solid programming skills and ability to write high-quality, reusable code in Python or Matlab - Experience with software development (e.g., version control, unit testing, databases) is preferable Main responsibilities - Organize data management pipeline - Analyze neurophysiological and behavioral data - Develop analysis methods and software tools to facilitate the analysis of multi-modal and multi-dimensional neurophysiological data - Implement cutting-edge data science approaches (statistical, computational, and ML) for complex neuroscience problems - Create robust and efficient data pipelines to extract, transform, and visualize data - Develop, test, and implement scientific software (e.g., for reproducible analysis pipelines and data storage) - Interact with experimentalists to design experiments and implement analyses - Analyze current technologies, algorithms, models, and methods - As part of your role, you will have the opportunity to collaborate with other teams, attend trainings, mentor students, have independent projects, and present at major relevant conferences (Cosyne, NeurIPS) *We offer* competitive compensation and benefits within an interactive, interdisciplinary working environment, where cutting-edge science thrives and a dynamic, international research community awaits. If you would like to know more, visit our website: neuronaldynamics.eu and read about our team's mission and values <https://www.neuronaldynamics.eu/team/mission-values>. *Why join our team* - We are a young and vibrant group of scientists, fueled by curiosity and passion for understanding the brain. We work as a team and use or invent cutting-edge neurotechnologies to answer fundamental questions in neuroscience. - Our team is committed to the training, mentorship, and career development of the next generation of neuroscientists. To achieve that, we foster an inclusive and supportive environment, where we can learn and advance science while having fun in the process. - Our work is multi-disciplinary, and so is our team. Irrespective of your background and project, our research environment will expose you to a diverse range of experimental and computational aspects of systems and circuits neuroscience. We thus encourage everyone to apply, especially those from underrepresented minorities. - Working in our team will provide you with invaluable experience across all stages of research, as well as publishing and communicating research results. - Our team is affiliated with Inserm <https://www.inserm.fr/> and is located in the Paris Brain Institute (ICM) <https://institutducerveau-icm.org/>. - Our vibrant community at the ICM and throughout Paris promotes broad collaboration and learning opportunities. *How to apply* If you are eager to join our vibrant research community and contribute to groundbreaking discoveries, we warmly welcome your application. The position is available immediately, with the potential for a permanent contract based on performance. Please send a statement of your past work and future research interests, your CV, and contact information for 1-3 references to the address: contact(a)neuronaldynamics.eu -- Nikolas Karalis Neuronal Circuits & Brain Dynamics Lab <http://neuronaldynamics.eu/> - Paris Brain Institute

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