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

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

June 11, 2025

Dear Colleagues, We would like to remind that the late-breaking poster abstracts submission at CNS*2023 ends on June 15. CNS*2023, 32nd Annual Computational Neuroscience Meeting, will be in Leipzig, Germany, on July 15-19, 2023. The information about the meeting and abstract submission can be found here: Registration: https://ocns.memberclicks.net/cns-2023-registration Abstract submission: https://www.cnsorg.org/cns-2023-abstract-submission CNS*2023 information: https://www.cnsorg.org/cns-2023 With kind regards, Leonid Rubchinsky OCNS Vice President *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Purdue University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin(a)iupui.edu http://www.math.iupui.edu/~lrubchin ***********************

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

Dec. 16, 2024

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

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Python Package: SER model
by Fabrizio Damicelli Aug. 8, 2024

Aug. 8, 2024

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

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Fully-funded PhD in machine-learning for analysing subject's decisions (Nottingham, UK)
by Mark Humphries April 22, 2024

April 22, 2024

A fully-funded PhD is available with Dr Silvia Maggi and Professor Mark Humphries (University of Nottingham) and Dr Hazem Toutonji (University of Sheffield). Decision-making happens in dynamic environments. Understanding how subjects respond to such a fast-changing world requires approaches that can track subject's choice strategies at the resolution of single trials. We recently developed a Bayesian inference algorithm (Maggi et al., 2023, bioRxiv) that enables trial-resolution tracking of learning and exploration during learning. This project will build on this work to solve crucial problems of determining which of a set of behavioural strategies a subject is using and how to incorporate evidence uncertainty into its detection of the learning of strategies and transitions between them. Using the extended algorithm on datasets of rodents and humans performing decision tasks will let us test a range of hypotheses for how correct decisions are learnt and what innate strategies are used. Application deadline: November 30th 2023 PhD start date: February 1st 2024 Please send all queries to Silvia (silvia.maggi(a)nottingham.ac.uk) or Mark (mark.humphries(a)nottingham.ac.uk) Full details and how to apply here: https://www.findaphd.com/phds/project/cognitive-flexibility-in-dynamic-deci… Professor Mark Humphries | Professor of Computational Neuroscience Lab: humphries-lab.org<https://www.humphries-lab.org/> Twitter: @markdhumphries Public blog: https://medium.com/the-spike Book: "The Spike: An Epic Journey Through the Brain in 2.1 Seconds" (Princeton UP) out now in paperback: https://press.princeton.edu/books/paperback/9780691241487/the-spike This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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Postdoctoral Research Fellow in Biocomputation at the University of Hertfordshire, UK
by Volker Steuber April 2, 2024

April 2, 2024

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

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Postdoc Position in Moral Artificial Intelligence (Jointly sponsored by Duke and CMU)
by Dr Jana Schaich Borg, Ph.D. March 11, 2024

March 11, 2024

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

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Multiple postdoctoral positions in computational neuroscience (neural coding), Hamburg, Germany
by Stefano Panzeri Feb. 29, 2024

Feb. 29, 2024

I am opening three fully funded postdoctoral positions in computational neuroscience at the University Medical Center Hamburg-Eppendorf (UKE) in Hamburg, Germany. We investigate how networks of neurons in the cerebral cortex encode, process and transmit information to generate behaviors such as sensation and decision-making. To address these issues, we develop and use information-theoretic and machine learning methods to study population coding, as well as neural network models to individuate mechanisms for neural information processing and generation of functions. Our laboratory enjoys extensive long-term international collaborations with experimental laboratories, including with Chris Harvey at Harvard Medical School, Wei- Lee at Boston Children’s Hospital, Tommaso Fellin and Alessandro Gozzi at IIT, Mriganka Sur at MIT, as well as collaborations with experimental laboratories in Hamburg (Andreas Engel, Tobias Donner, Ileana Hanganu-Opatz). The laboratory also offers a thriving, ambitious and well-funded research environment (with funds from the NIH Brain Initiative, the Simons Foundation, the European Union, the ERC). The lab provides ample opportunities for advanced training and for personal scientific growth. We seek candidates holding a PhD in a numerate or neuroscientific discipline, with a solid computational background and a keen interest in neuroscience. They must be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and be happy to interact with both experimental and theoretical neuroscientists. The jobs are available starting immediately and applications will be considered as soon as they are received and until the position is filled. Funding is available for several years and a minimum commitment of two years is expected by interested candidates. Interested applicants are encouraged to email me (stefano.panzeri(a)gmail.com) as soon as possible, to inform me of the interest for the position and initiate a discussion about research projects. For recent relevant publications from my lab, see: Kuan A et al (2024) Synaptic wiring motifs in posterior parietal cortex support decision-making *Nature:* advanced online publication (doi 10.1038/s41586-024-07088-7) Celotto M et al, An information-theoretic quantification of the content of communication between brain regions, *NeurIPS* 36, 2023 Panzeri S, et al (2022) The structures and functions of correlations in neural population codes. *Nature Reviews Neuroscience* 23: 551-567 Koren V., Panzeri S (2022) Biologically plausible solutions for spiking networks with efficient coding. *NeurIPS 35, 2022,* Curreli S, et al (2022) Complementary encoding of spatial information in hippocampal astrocites. *PLoS Biology* 20: e3001530. Valente, M. et al (2021), Correlations enhance the behavioral readout of neural population activity in association cortex. *Nature Neuroscience*, 24, 975–986 Chong, E. et al (2020) Manipulating synthetic optogenetic odors reveals the coding logic of olfactory perception. *Science* 368, 1329. Runyan C. A., et al (2017) Distinct timescales of population coding across cortex, *Nature*: 548: 92-96. Panzeri S., et al (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behaviour. *Neuron* 93: 491-507 Pica, G. et al (2017) Quantifying how much sensory information in a neural code is relevant for behavior, *NeurIPS 30, 2017* Thanks Stefano Panzeri (stefano.panzeri(a)gmail.com)

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NeuroDataReHack data reuse workshop and Open Neurodata Showcase
by Ryan Ly Feb. 29, 2024

Feb. 29, 2024

Dear colleagues, The Neurodata Without Borders (NWB) <http://nwb.org/> team is organizing two upcoming events: NeuroDataReHack and the Open Neurodata Showcase. NeuroDataReHack 2024 July 8-12, 2024 Janelia Research Campus, Ashburn, Virginia, USA The goal of NeuroDataReHack is to train participants to generate new insights from existing neurophysiology data through secondary analysis. The DANDI Archive <http://dandiarchive.org/> now has 200+ neurophysiology datasets in the Neurodata Without Borders <http://nwb.org/> format spanning many species, brain areas, task types, and imaging modalities. These include large-scale datasets from the Allen Institute, the MICrONS project, and the International Brain Laboratory, as well as diverse contributions from neuroscience labs around the world. NeuroDataReHack will teach attendees how to maximally utilize the data and computational resources of the DANDI Archive to incorporate existing data into their scientific workflows. Example projects include but are not limited to: - Determine whether your scientific findings are present in another species or brain area. - Guide the generation of hypotheses for a new project or grant application. - Showcase the capabilities of your tool or analysis on published data from another lab. - Explore follow-up questions to a study that has published data. The workshop is free to attend, and on-site housing and meals will be provided. Travel support is limited. Learn more and apply at the NeuroDataReHack 2024 website <https://neurodatawithoutborders.github.io/nwb_hackathons/HCK21_2024_Janelia…>. The deadline to apply is March 10. *Open Neurodata Showcase* July 2, 2024, 9-10:30 AM PDT Virtual In the week before NeuroDataReHack, the NWB team is organizing a virtual poster session on the Gather platform to bring together data contributors and anyone interested in reusing existing neurophysiology data. This virtual event offers a unique opportunity for participants to explore and engage in discussions about particular dandisets, and allows data contributors to showcase their projects. Anyone interested in using open neurophysiology datasets or presenting on their published neurophysiology datasets is welcome to attend. Learn more and register at the event website <https://neurodatawithoutborders.github.io/nwb_hackathons/HCK20_2024_OpenNeu…> . If you have any questions, please contact us at contact(a)nwb.org. Kind regards, Ben Dichter, CatalystNeuro Oliver Rübel, Lawrence Berkeley National Laboratory Ryan Ly, Lawrence Berkeley National Laboratory -- 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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Post-Doctoral Research Associate Neuron Modeling for Transcranial Electric and Magnetic Stimulation
by David Zhou Feb. 29, 2024

Feb. 29, 2024

(Forwarding on behalf of Warren Grill) We seek a highly-motivated individual to conduct research on computational modeling of cortical neuron activation by transcranial electric and magnetic stimulation (TES and TMS). We have an NIH-funded R01 project to develop and disseminate computational neuron models and their integration with TES and TMS electric field simulations in the popular SimNIBS software package. This project is a collaboration between Dr. Warren Grill and Dr. Angel Peterchev at Duke University and Dr. Axel Thielscher at the Danish Research Center for Magnetic Resonance and Technical University of Denmark. This work is part of a long-standing research program at Duke for rigorous computational modeling and experimental characterization of both invasive and noninvasive neurostimulation. The strong interdisciplinary and collaborative environment at Duke is ideal for our multi-scale modeling research efforts. An earned PhD and previous experience in computational neurostimulation modeling are required as are excellent communication skills. This is a full-time position with University Benefits and provides exceptional opportunities for interdisciplinary research and career development. We value all dimensions of diversity and believe that the best solutions to challenging problems will come from working with people from a broad range of backgrounds and experiences. For consideration submit a cover letter, CV, and the names and contact information of three professional references here: https://academicjobsonline.org/ajo/jobs/27152 ---------- Forwarded message --------- From: Stephanie Jones <stephanie_jones(a)brown.edu> Date: Thu, Feb 29, 2024 at 9:18 AM Subject: Fwd: Post-Doc or Staff Scientist/Engineer Position To: Thomas Serre <thomas_serre(a)brown.edu>, Michael J Frank < Michael_Frank(a)brown.edu> Cc: Matthew Nassar <matthew_nassar(a)brown.edu>, Wilson Truccolo < wilson_truccolo(a)brown.edu>, David Zhou <david.wei.zhou(a)gmail.com>, Carina Curto <carina_curto(a)brown.edu> Can we share the announcement below with the comp neuro community? ********************************************* *Stephanie R. Jones, PhD* *Professor * *Department of Neuroscience * *Brown University * *Stephanie_Jones(a)Brown.edu* *https://sites.brown.edu/stephanie-r-jones-lab/ <https://sites.brown.edu/stephanie-r-jones-lab/>* *@drstephjones* *Human Neocortical Neurosolver* *https://hnn.brown.edu <https://hnn.brown.edu>* *@HNNsolver* Begin forwarded message: *From: *"Warren M Grill, Ph.D." <warren.grill(a)duke.edu> *Subject: **Post-Doc or Staff Scientist/Engineer Position* *Date: *February 29, 2024 at 8:26:43 AM EST *To: *"stephanie_jones(a)brown.edu" <stephanie_jones(a)brown.edu> Dear Stephanie I hope this finds you well. We are recruiting a new post-doc or staff scientist/engineer with experience in neural modeling, and I would appreciate you recommending this opportunity to high caliber candidates in your department, as well as spreading the word broadly in your community. Thank you. All the best, Warren _ _ _ _ _ Warren M. Grill, Ph.D. Edmund T. Pratt, Jr. School Distinguished Professor of Biomedical Engineering Duke University Editor in Chief, Journal of Neural Engineering Fellow of AIMBE, BMES, IAMBE, and NAI (he/him/his) https://grill-lab.pratt.duke.edu warren.grill(a)duke.edu (919) 660-5276 Phone (919) 684-4488 Fax CIEMAS Room 1139 Mail to: Duke University Department of Biomedical Engineering Fitzpatrick CIEMAS, Room 1427 101 Science Drive Box 90281 Durham NC 27708-0281 Post-Doc or Staff Scientist/Engineer Position

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Abstract submission deadline extended: Mathematics of Neuroscience and AI, Rome, 28-31st May 2024.
by Battleday, Ruairidh Feb. 29, 2024

Feb. 29, 2024

We have extended the deadline for abstracts for the 5th International Convention on the Mathematics of Neuroscience and AI, to be held in Rome 28th-31st May 2024: New deadline: 8th March, 2024; AOE. We hope that you come and join us! Thank you to all the people that have submitted already—the quality has been fantastic. If you would like to edit your submission, just submit another response. In this high-profile convention we examine computational accounts of the brain and mind from the perspectives of biocomputation, neural theory, and cognitive science. We then take findings and theory back into the creation of robust, generalizable, and scalable AI: www.neuromonster.org We invite submissions for each session via this Google form: https://forms.gle/u8tJU4PtkT1EKYte7 Keynote Speakers Professor Peter Dayan (Max Planck Institute, Tübingen) Professor Sophie Deneve (ENS, Paris) Professor Wolfgang Maass (TUG) Professor Mackenzie Mathis (EPFL) Professor Anne Collins (UC Berkeley) Dr Feryal Behbahani (Google DeepMind) Dr Giovanni Pezzulo (NRC of Italy, Rome) Session Chairs Biocomputation Yasmine Ayman (Harvard) Professor Dan Nicolau Jr (KCL) Neural theory Dr James Whittington (Stanford / Oxford) Dr Francesca Mastrogiuseppe (Champalimaud) Cognitive science Dr Ruairidh Battleday (Harvard / MIT) Dr Antonella Maselli (NRC Italy) AI Dr Ishita Dasgupta (Google DeepMind) Dr Ilia Sucholutsky (Princeton) Confirmed speakers Biocomputation Professor Andrew Adamatzky (UWE) Professor Panayiota Poirazi (FORTH, Crete) Professor Jason Shepherd (Utah) Professor Christine Grienberger (Brandeis) Neural theory Professor Rafal Bogacz (Oxford) Professor Athena Akrami (UCL) Professor Nicolas Brunel (Duke) Professor Kanaka Rajan (Harvard) Dr Lea Duncker (Stanford) Dr Kris Jensen (UCL) Cognitive science Professor Dagmar Sternad (Northeastern) Professor Bill Thompson (UC Berkeley) Professor Samuel McDougle (Yale) Dr Maria Eckstein (DeepMind) Dr Fred Callaway (NYU / Harvard) AI Professor Kevin Ellis (Cornell) Professor Najoung Kim (BU, Google) Dr André Barreto (DeepMind) Dr Sophia Sanborn (USB / UBC) Dr Wilka Carvalho (Harvard) The submission format is a single A4 sheet containing (at least) an abstract of 250 words, along with any additional material you think valuable. These will be accepted for poster, spotlight, or a short talk. New submission deadline is 8th March AOE. We will reply by March 15th with a decision. The convention will be held at the Villa Wolkonsky, in San Giovanni, Rome (10 minutes walk from the Colosseum). Many thanks! The Organizing Committee. -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking (www.thinkingaboutthinking.org) Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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ICDL Poster deadline extended to March 8
by nagai.yukie＠mail.u-tokyo.ac.jp Feb. 29, 2024

Feb. 29, 2024

Dear colleagues, Join us in Austin May 20-23, 2024 for the IEEE International Conference on Development and Learning (ICDL). ICDL is an intimate and unique meeting gathering researchers interested in development from the perspective of ecological psychology, robotics, and computation. While the deadline for full paper submissions has passed, there is still time to submit to the poster tracks! We have confirmed an amazing list of speakers for the event - including a keynote by Jitendra Malik, the research director for Facebook AI - as well as 20 of the most important thinkers in this space. Our goal is to encourage deep conversations through carefully curated single-track symposia, including: [ Curiosity-Driven Learning and Predictive Models ] Yukie Nagai - The University of Tokyo, Japan Elizabeth Bonawitz - Harvard University, USA Gert Westermann - Lancaster Univbersity, UK Michael Goldstein - Cornell University, USA [ Language Development in Humans and Machines ] Xavier Hinaut - Inria & Bordeaux University, France Casey Lew-Williams - Princeton University, USA Daniel Messinger - University of Miami, USA Catherine Laing - University of York, UK [ Developmental Machine Learning and Everyday Inputs ] Karen Adolph - New York University, USA Linda Smith - Indiana University, USA Jochen Triesch - Frankfurt Institute for Advanced Studies, Germany Marvin Lavechin - Ecole Normale Supérieure, France [ Egocentric vision and attention ] John Franchak - University of California, Riverside, USA Kristen Grauman - The University of Texas at Austin, USA Mary Hayhoe - The University of Texas at Austin, USA Jim Rehg - University of Illinois Urbana-Champaign, USA [ Body Representation and Sensorimotor Organization ] Daniela Corbetta - The University of Tennessee, USA Matej Hoffmann - Czech Technical University in Prague, Czech Republic Hoshinori Kanazawa - The University of Tokyo, Japan Peter Marshall - Temple University, USA Website: https://la.utexas.edu/users/dil/ICDL_Austin_2024/ Deadline for 1-page poster abstracts and journal track poster submissions: March 1, 2024 -> March 8, 2024 (extended) Submissions are invited on a range of topics including but not limited to: ● Embodied learning and development in biological systems and robots ● Developmental stages and sensitive periods ● Emergence of verbal and nonverbal communication ● Curiosity, intrinsic motivations, exploration, play and active learning ● Architectures for lifelong learning ● Emergence of body and affordance perception ● Learning control of body movement ● Emotional development and the role of emotion in learning ● Prediction, planning, and problem solving ● The relationship between evolution and development ● Epistemological foundations and philosophical issues ● Robotic and computational models of human and animal development ● Developmentally-inspired machine learning ● Human-robot interaction in developmental contexts ● Applications of machine learning to human and animal development [ 1-page poster abstracts ] To encourage discussion of late-breaking results or for work that is not sufficiently mature for a full paper, we will accept 1-page abstracts. These submissions will not be included in the conference proceedings. Accepted abstracts will be presented during the poster session. [ Journal-track posters ] Journal track poster submissions must be about a journal paper that has been published recently (no earlier than December 2022), on a topic relevant to ICDL. Please see https://la.utexas.edu/users/dil/ICDL_Austin_2024/ for submission details. Best regards, Yukie Nagai, on behalf of the organizing committees — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Feelings: https://cognitive-feeling.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org

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Computational and Cognitive Neuroscience Summer School application open!
by Chengcheng Huang Feb. 28, 2024

Feb. 28, 2024

Applications are open for the 12th Computational and Cognitive Neuroscience Summer School (CCNSS), which will be held from *June 23 to July 14, 2024*, at *Suzhou, China*. Online application: https://www.csh-asia.org/?content/2382 Application deadline: *March 31, 2024* About CCNSS: Designed to emphasize computational principles and neural circuit mechanisms of higher cognitive functions, the course aims at training talented and highly motivated students and postdoctoral fellows from Asia and around the world. We welcome both applicants with quantitative backgrounds (including Physics, Mathematics, Engineering and Computer Science) and those with experimental backgrounds. The lectures will introduce the basic concepts and methods, as well as cutting-edge research on higher brain functions such as decision-making, attention, learning and memory. Modeling will be taught at multiple levels, ranging from single neuron computation and microcircuits up to large-scale brain systems and artificial intelligence and psychiatric disorders. Python-based programming labs coordinated with the lectures will provide practical training in important computational methods. 2024 Faculty: Hannah Choi, Georgia Institute of Technology Robert Desimone, Massachusetts Institute of Technology Alain Destexhe, Centre National de la Recherche Scientifique (CNRS) Tomoki Fukai, Okinawa Institute of Science and Technology Leyla Isik, Johns Hopkins University Máté Lengyel, University of Cambridge Sukbin Lim, New York University, Shanghai Yunzhe Liu, Beijing Normal University Luca Mazzucato, University of Oregon Jorge Mejias, University of Amsterdam Yuanyuan Mi, Tsinghua University Ida Momennajad, Microsoft Research Memming Park, Champalimaud Centre for the Unknown Anqi Wu, Georgia Institute of Technology Organizers: Dora Angelaki, New York University Christopher Honey, Johns Hopkins University Chengcheng Huang, University of Pittsburgh Songting Li, Shanghai Jiao Tong University Xiao-Jing Wang, New York University Guangyu Robert Yang, Massachusetts Institute of Technology Supports: Cold Spring Harbor Asia Simons Foundation -- Dr. Chengcheng Huang Assistant Professor Department of Neuroscience Department of Mathematics University of Pittsburgh

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CAJAL Course on Quantitative Approaches to Behavior and Virtual Reality 2024
by Daniel McNamee Feb. 28, 2024

Feb. 28, 2024

CAJAL COURSE ON QUANTITATIVE APPROACHES TO BEHAVIOR AND VIRTUAL REALITY 2 - 21 June 2024, Champalimaud Centre for the Unknown, Lisbon, Portugal https://cajal-training.org/on-site/quantitative-approaches-to-behaviour-and… Applications deadline: 4 March 2024 DIRECTORS • Benjamin de Bivort (Harvard University, USA) • Ann Kennedy (Northwestern University, USA) * Giorgio Gilestro (Imperial College London, UK) • Daniel McNamee (Champalimaud Centre for the Unknown, Portugal) Quantitative studies of behaviour are fundamental in our effort to understand brain function and malfunction. Recently, the techniques for studying behaviour, along with those for monitoring and manipulating neural activity, have progressed rapidly. Therefore, we are organizing a summer course to provide promising young scientists with a comprehensive introduction to state-of-the-art techniques in quantitative behavioural methods. This course’s content is complementary to other summer courses that focus on measuring and manipulation neurophysiological processes. Our focus is on methodologies to acquire rich data representations of behavior, dissect them statistically, model their dynamics, and integrate behavioral measurements with other kinds of neurobiological data. To this end, students will 1) fabricate devices for recording the behavior of experimental organisms (including flies, fish, and humans), 2) learn, under the guidance of the scientists developing these methods, the modern tools to analyze behavioral data from these organisms, and 3) in a week-long independent project develop and conduct a behavioral study of their own design, with the support and guidance of the course instructors and teaching assistants. The course is designed for graduate students and postdoctoral fellows from a variety of disciplines, including neuroscience, biology, ethology, computer science, and psychology. Students are expected to have a keen interest and basic background in neurobiology and behavior, as well as some programming experience. A maximum of 20 students will be accepted. Students of any nationality can apply. We specifically encourage applications from researchers who work in the developing world. Stipends are available. Confirmed faculty: Ahmed Al-Hady (Max Planck Institute, Konstanz, Germany) Kristin Branson (Janelia, USA) Andre Brown (Imperial College, UK) Bing Brunton (U Washington, USA) James Cotton (Northwestern, USA) Iain Couzin (Max Planck Institute, Konstanz, Germany) Serena Ding (Max Planck Institute, Konstanz, Germany) Gonzalo de Polavieja (Champalimaud, Portugal) Kim Hoke (Colorado State University, USA) Karla Kaun (Brown University, USA) Kate Laskowski (UC Davis, USA) Zach Mainen (Champalimaud, Portugal) Talmo Pereira (Salk Institute, USA) Nachum Ulanovsky (Weizmann Institute, Israel) (more to be confirmed) Daniel McNamee (co-director, Champalimaud Research)

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Doctoral Student and Young Researcher Awards @ FRCCS 2024 Deadline March 11, 2024
by Hocine Cherifi Feb. 28, 2024

Feb. 28, 2024

Please consider to contribute to and/or forward to the appropriate groups the following opportunities: *Submission deadline extended: March 11, 2024 (firm deadline)* *DOCTORAL STUDENT AWARD * The Doctoral Student Award is in place to recognize early career contributions. It is awarded to young researchers enrolled in a Ph.D. program. This competition consists in presenting your research in simple terms in a five minutes video to a lay audience. Your presentation should be clear, concise, and convincing. More info: https://iutdijon.u-bourgogne.fr/ccs-france/call-doctoral-student-award/ *YOUNG RESARCHER AWARD * The Young Researcher Award is in place to recognize early career contributions and leadership in research in Complex Systems related fields. It is awarded to young researchers up to *five years* *after* the Ph.D. completion (date of Ph.D. defense) and the deadline of the call for nomination. More info: https://iutdijon.u-bourgogne.fr/ccs-france/call-young-resarcher-award/ Best regards Join us at COMPLEX NETWORKS 2024 <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 Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor Applied Network Science <https://appliednetsci.springeropen.com/> 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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postdoc in computational neuroscience, Cambridge-Columbia collaboration
by Máté Lengyel Feb. 27, 2024

Feb. 27, 2024

We have an open postdoc position to work on a collaborative project between Guillaume Hennequin’s group and mine at the Computational and Biological Learning Lab at the University of Cambridge, and Daniel Wolpert's at the Zuckerman Mind Brain Behavior Institute, Columbia University. See details here: https://www.jobs.cam.ac.uk/job/44808/ The closing date for applications is 10th March. Both Guillaume and I will be at Cosyne this week, do not hesitate to reach out if you would like to discuss this position with us. Best wishes, Máté Lengyel -- Professor of Computational Neuroscience Computational and Biological Learning Lab Cambridge University Engineering Department Trumpington Street, Cambridge CB2 1PZ, UK tel: +44 (0)1223 748 532, fax: +44 (0)1223 765 587 email: m.lengyel(a)eng.cam.ac.uk web: lengyellab.org

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Research Fellow in Theoretical Neuroscience (Gatsby Unit)
by Lin, I-Chun Feb. 26, 2024

Feb. 26, 2024

Closing date: 30-Jun-2024 The Gatsby Unit invites applications for a postdoctoral training fellowship under Dr Agostina Palmigiano, focussed on developing theoretical approaches to investigate the mechanisms underlying sensory, motor or cognitive computations. You will be responsible for the primary execution of the project (with opportunities for co-supervision of students), presentation of results at conferences and seminars, and publication in suitable media. This post is initially funded for 2 years with the possibility of a one-year extension at the end of the period. You should have a strong quantitative background in theoretical neuroscience, machine learning, statistics, computer science, physics or engineering; a record of publication in highly respected journals and conferences and must hold a PhD in a relevant field by the agreed start date of the position. For detailed information on the role and how to apply, please visit http://www.ucl.ac.uk/gatsby/vacancies under 'Research Fellow (Palmigiano group)'. Agostina will also be at COSYNE 2024; please get in touch (a.palmigiano 'at' ucl.ac.uk) to set up informal chats with her if interested! About the Gatsby Unit Established in 1998 through a generous grant from the Gatsby Charitable Foundation, the Gatsby Unit has been a pioneering centre for research in theoretical neuroscience and machine learning. The Unit fosters a highly collaborative and open research culture where regular unit-wide events allow everyone to get involved in everything and be aware of what others are doing. In addition, the Unit provides a unique multidisciplinary research environment with strong links to the Sainsbury Wellcome Centre for Neural Circuits and Behaviour, the ELLIS Unit at UCL, and other neuroscience and machine learning groups at UCL and beyond. -- I-Chun Lin Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL

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CNeuro2024 summer school in computational neuroscience, Beijing, July 2024
by Rava A. da Silveira Feb. 26, 2024

Feb. 26, 2024

*CN**EURO**2024* *Theoretical and Computational Neuroscience Summer School* *8 to 15 July 2024 — In person in Beijing, China* *This year: “N**EURAL** C**ODING,** L**EARNING,* *AND **D**ECISION **M* *AKING**”* *www.cneuro.net* <http://www.cneuro.net> *About CNeuro* How intelligence and behavior emerge from complex and intricate interactions within the brain remains a deep and unsolved mystery, central to an exciting area of interdisciplinary research. The past decade has seen rapid progress in experimental tools that now make it possible to monitor and manipulate brain circuits in unprecedented detail. This evolution presents challenges and opportunities for both experimentalists and theorists. Mathematical theory is instrumental in the emergence of theoretical insights and frameworks that can help guide experimental work and identify unifying principles of brain function. The aim of the one-week summer school will be to introduce students with a strong quantitative background (in mathematics, physics, computer science, and engineering) to the emerging field of theoretical and computational neuroscience. The distinguishing feature of CNeuro is the emphasis it places on the role of systematic mathematical theory for understanding the brain, in part by stressing the connections between neuroscience, statistics, machine learning, and artificial intelligence. *Topic and format* This year’s school will explore various facets of neural coding, learning, and decision making, from circuit neuroscience to cognition to artificial intelligence. The course will bring together leading scientists in the field, who will deliver both introductory and advanced lectures, and take part in small-group discussions. Other activities will include homework sessions and student presentations, as well as the now popular ‘Life and Science’ panel series, in which faculty and students can both share their personal experiences and views on research and career. *Faculty* Dmitri (Mitya) Chklovskii (Flatiron Institute) Nathaniel Daw (Princeton University) Pulin Gong (University of Sydney) Vincent Hakim (Ecole Normale Supérieure) Ole Jensen (University of Birmingham) Sukbin Lim (New York University Shanghai) Rubén Moreno Bote (Universitat Pompeu Fabra) Naoshige Uchida (Havard University) Ninglong Xu (Institute of Neuroscience, Shanghai) Tianming Yang (Institute of Neuroscience, Shanghai) Hang Zhang (Peking University) Lusha Zhu (Peking University) *Organizers* Rava Azeredo da Silveira (ENS and IOB) Stella Christie (Tsinghua University) Sen Song (Tsinghua University) Louis Tao (Peking University) Xiaoqin Wang (Johns Hopkins University) Quan Wen (USTC) *Application and deadline* Information and application guidelines at https://www.cneuro.net/cneuro2024. Applications will be reviewed on a rolling basis. We will make every effort to recruit students from diverse backgrounds including all genders and ethnic groups.

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Available Ph.D. Position in AI / Cognitive Robotics / Human-Robot Interaction
by Amir Aly Feb. 26, 2024

Feb. 26, 2024

Dear All, *Apologies for cross-posting* We are pleased to announce an opportunity for a funded PhD studentship (*Cross-Modal Language Learning with Large Language Models through Human-Robot Interaction*) at the Center for Robotics and Neural Systems (CRNS) at Plymouth University, UK. The closing date for applications is *12 noon on **15th March 2024* *(The difference in tuition fees between national and international students will be waived for international candidates)*. This exciting project aims to create a robot learning framework that integrates the wide linguistic capabilities of *Large Language Models *(LLMs) with robot perceptual information (e.g., visual and/or haptic perception) for language learning covering *word grounding* and bottom-up *sentence formation*, which can make robots develop language and understand human communication across contexts (*more details and research questions are available in the link below*). More details *about the topic *and *how to apply* are available at: https://www.jobs.ac.uk/job/DFL347/phd-studentship-cross-modal-language-lear… <https://www.jobs.ac.uk/job/DFL347/phd-studentship-cross-modal-language-lear…> PhD Studentship - Cross-Modal Language Learning with Large Language Models through Human-Robot Interaction at University of Plymouth <https://www.jobs.ac.uk/job/DFL347/phd-studentship-cross-modal-language-lear…> Find a PhD Studentship - Cross-Modal Language Learning with Large Language Models through Human-Robot Interaction on jobs.ac.uk, the top job board in higher education. Click to view more! www.jobs.ac.uk If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics / AI Consultant Programme Manager of Artificial Intelligence Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room A307 Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK ------------------------------ <http://www.plymouth.ac.uk/worldclass>

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ICMNS24 - registration open
by Avitabile, D. (Daniele) Feb. 25, 2024

Feb. 25, 2024

Dear All, We invite you to visit our website, which has been updated with important information on the conference https://www.danieleavitabile.com/icmns24/ In particular: * We were pleased to receive a large number of excellent contributed talk submissions, and we have extended the conference by half a day, to allow for more talks. The conference will now start on the 11th of June at 13:00, as opposed to the 12th of June. * Submissions are now closed. * Registrations are now open via our website. * On-campus accommodation can be booked during the registration (limited to single en-suite rooms). We also provide a list of hotels near the UCD campus, and with some of them we negotiated a discount for ICMNS participants. * We provide details about our social event. Should you have any questions, do not hesitate to contact us jointly, using the addresses at the end of the present email We look forward to hosting you in Dublin! Daniele Avitabile ?ine Byrne Jonathan Rubin

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M.Sc. & Ph.D. Positions at McGill University
by Majid H. Mohajerani Feb. 24, 2024

Feb. 24, 2024

Title: M.Sc. & Ph.D. Positions at McGill University in Computational Analysis of Behavior and Brain dynamics with Computer Vision/Machine Learning Positions Overview: The Mohajerani lab (https://douglas.research.mcgill.ca/majid-mohajerani/) at McGill University is seeking prospective M.Sc. or Ph.D. to join our lab for Winter 2025 semester. The focus of student’s project will be on analysis of animal behaviour and brain activity using deep learning tools. To be qualified for this position, ideal candidates must have a solid background in computer vision and be familiar with neuroscience. As part of this role, students also must complete coursework for neuroscience program at McGill (www.mcgill.ca/ipn/<http://www.mcgill.ca/ipn/>), a university known for its world-class research and academic excellence, providing them an intellectually stimulating and inspiring environment for their career growth. We are searching for dedicated researchers to join our lab, so if you like tackling challenges, you are welcome to apply! Lastly, the successful candidate must have a collaborative spirit, as this role involves cooperation with multiple institutions and investigators. Deadline: March 31st, 2024 Key qualifications: * Academic Background: M.Sc. or B.Sc. in computer science, computer engineering, neuroscience, or related fields. Solid foundation in machine learning , and knowledge of experimental neuroscience (e.g., optical imaging/ontogenetic, electrophysiology, behavioural assessment) will be a bonus. * Technical Knowledge: Familiarity with deep learning libraries (TensorFlow, PyTorch), and image processing in Python. * Soft Skills: Individuals who are driven by curiosity, practical problem-solvers, and team players. * Passionate About Neuroscience: A genuine interest in computational, and/or behavioural neuroscience and a commitment to contributing to the field. What we offer: * A Focus on Behavioural Neuroscience: Dive deep into research that aims to unravel the complexities of behaviour and brain dynamics through AI. Our projects span various aspects of the field, offering a rich environment for academic and personal growth. * Collaborative Environment: Work alongside leading scientists in a supportive, interdisciplinary team where your ideas and contributions are valued. * Resources: Access to cutting-edge technology and resources to facilitate your research, experimentation, and learning. * Real-World Impact: Engage in projects that aim to translate scientific discoveries into practical applications, making a tangible difference in the field and beyond. * Academic Excellence: As part of McGill University, you’ll be immersed in an environment known for its high standards of research and education. How to Apply: If you’re passionate about machine learning and want to work in a dynamic and exciting environment, please apply with your resume and a cover letter describing your relevant experience and why you’re the right fit for this role. We strive to ensure that our team is diverse, equitable, and inclusive. All qualified applicants, including women and members of visible minority groups, are welcome to apply. If you meet all the requirements, please fill out the following form: https://docs.google.com/forms/d/1TK_TfBSzkqNcR_DYt82HGb0MImX_1mthtegbxbkJtb…

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Postdoc in Computational Neuroimaging at the UVA School of Data Science
by Rasero, Javier (mnr3kn) Feb. 23, 2024

Feb. 23, 2024

Dear colleagues, I am delighted to announce that the School of Data Science at the University of Virginia (USA) is seeking a postdoctoral researcher. This position is dedicated to advancing our understanding of Autism Spectrum Disorder through the evaluation of new biomarkers in neuroimaging data. The School of Data Science, founded in 2019 and the first of its kind in the nation, offers a unique multidisciplinary environment, where candidates can expand their professional network through collaborations with various departments and institutes across UVA, such as Psychology and the Brain Institute. Candidates must possess a terminal degree in computer science, neuroscience, psychology, engineering, physics, mathematics, or related discipline by the start date of the position. Preference will be given to applicants that possess the following: * Established experience in analyzing neuroimaging data (fMRI and/or diffusion MRI) and/or machine/deep learning. * Experience with statistical/scientific programming languages (expertise in Python, Matlab, and/or R preferred). * Topical expertise in statistical and computational approaches (e.g., regression, clustering, signal processing). * Demonstrated ability to complete projects as evidenced by first-author publications. This is a one-year appointment, renewable for an additional year contingent upon funding and satisfactory performance. Link to the job ad and to apply: https://uva.wd1.myworkdayjobs.com/UVAJobs/job/Charlottesville-VA/Postdoctor…

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Postdoctoral position in Computational Cognitive Science London (UK)
by Lei Zhang Feb. 23, 2024

Feb. 23, 2024

(apologize for cross-posting) Applications are invited for a Wellcome Trust funded Research Fellow in the Department of Psychology, Royal Holloway, University of London, UK. Please follow this link <https://jobs.royalholloway.ac.uk/Vacancy.aspx?ref=0224-053> to apply by 29-Feb-2024. The position is formally within the SoCCR Lab (Social Computation and Cognitive Representation Lab <https://joebarnby.com/>) directed by Dr. Joseph M Barnby, which develops and tests computational and formal theories of social interaction in health and disorder. The fellow will also be working closely with the three Co-Is: Drs Alex Pike <https://www.york.ac.uk/psychology/staff/academicstaff/pike,-alex/> and Catia Oliveira (University of York) and Dr Lei Zhang <https://www.birmingham.ac.uk/staff/profiles/psychology/zhang-lei> (University of Birmingham). The post holder will be a member of this lab with responsibility for the provision of computational support for a Wellcome Trust-funded project, “Hypatia: Health Modelling Made Simple”. The position offers an exciting opportunity to develop and use state-of-the-art methods to build a free browser-based solution to allow simulation and fitting of common computational models, with the final milestone of 12 months to have a working beta version. The role will primarily involve software engineering/programming the Hypatia site, retaining a core knowledge of computational modelling as it relates to health care, neuroscience, and psychology, and liaising with project consultants to develop the UX/UI, backend support, and aesthetics of the platform. There is significant opportunity for skill development, including gaining experience of industry liaison, translational neuroscience, and computational modelling expertise. The project team will consist of a dedicated postdoctoral researcher and research assistant. The team will also present to and be guided by an advisory board, which includes Prof. Peter Dayan (Tuebingen), Dr Emma Černis (University of Birmingham), Dr Rick Adams (UCL), Prof Eric-Jan Wagenmakers (Amsterdam; JASP team), and Dr Jenny Murphy (Royal Holloway). To Apply: https://jobs.royalholloway.ac.uk/Vacancy.aspx?ref=0224-053 For an informal discussion about the post, please contact the PI Dr. Joseph M Barnby on joseph.barnby(a)rhul.ac.uk For queries on the application process the Human Resources Department can be contacted by email at: recruitment(a)rhul.ac.uk --- Dr. Lei Zhang w: lei-zhang.net t: @lei_zhang_lz <https://twitter.com/lei_zhang_lz>

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2 postdoc and 3 PhD positions available at Sussex
by Anil Seth Feb. 23, 2024

Feb. 23, 2024

Positions available! Do you have a strong background in cognitive and computational neuroscience and a desire to contribute to the cutting edge of consciousness research? Two postdoctoral research positions and three PhD positions are now available at the Sussex Centre for Consciousness Science (SCCS; https://www.sussex.ac.uk/research/ccs/) The SCCS is a University of Sussex Centre of Excellence and an internationally prominent group in consciousness science. The positions are supported by an ERC Advanced Investigator Grant (project CONSCIOUS; 2 postdocs and 2 PhDs) and by the SCCS, via the School of Informatics and Engineering (1 PhD). The postdoc positions funded for 2 years with possible extension for another 2, starting as soon as suitable candidates are identified. The PhD positions are fully funded (for both UK and overseas candidates) for 3.5 years, starting in September 2024 (earlier start may be negotiable). The ERC positions are all within the broad remit of computational (neuro)phenomenology, exploring different applications of a predictive processing view of conscious perception. One of the ERC PhD positions will focus on perceptual diversity, analysing and extending our unique Perception Census project (https://perceptioncensus.dreamachine.world/) The SCCS PhD is flexible in terms of project focus and supervisor; here, we invite PhD proposals that have a computational/informatics element. Apply by April 03 for the postdoc positions, and by April 13 for the PhD positions. Further details, including how to apply, are here: https://www.sussex.ac.uk/research/centres/sussex-centre-for-consciousness-s… ------------------------------------------- Anil K. Seth, D.Phil. Professor of Cognitive and Computational Neuroscience, University of Sussex Director, Sussex Centre for Consciousness Science, University of Sussex Co-Director, Canadian Institute for Advanced Research, Program on Brain, Mind, and Consciousness Advanced Investigator, European Research Council Editor-in-Chief, Neuroscience of Consciousness www.anilseth.com @anilkseth [Being You Pb Digital Assets v1 Email copy.png]

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WashU CTCN Postdoc Fellows
by Goodhill, Geoffrey Feb. 23, 2024

Feb. 23, 2024

The Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) at Washington University in St Louis invites applications from outstanding Postdoctoral Fellows to work at the interface between theoretical and experimental labs at WashU. Deadline for applications is April 30th. The CTCN is a joint initiative between the Schools of Medicine, Engineering, and Arts and Sciences, and provides a hub for neuroscientists to collaborate with mathematicians, physicists and engineers to find creative solutions to some of the most difficult problems currently facing neuroscience and artificial intelligence. Each CTCN Postdoctoral Fellow is based in at least two labs, but also has the opportunity to seek out new collaborations which help build new connections within the WashU community. We are looking for people with drive, independence and outstanding prior achievement, who are committed to leveraging interdisciplinary collaboration to drive forward the field of theoretical and computational neuroscience. Washington University in St Louis is ranked in the top 10 worldwide for Neuroscience and Behavior. Salary for CTCN Fellows is significantly above standard NIH postdoc rates, and funds for conference travel are included. In addition, WashU offers excellent benefits and comprehensive access to career development, professional and personal support. Applications from women and under-represented minorities are particularly welcome. The collaborative environment at WashU is a reflection of the critical importance placed on diversity, equity and inclusion and creating a welcoming place where postdocs can thrive. The St Louis metropolitan area has a population of almost 3M and is rich in culture, green spaces and thriving music and arts scenes, with a highly accessible cost of living. For more details on this prestigious Fellowship opportunity, including how to apply, please see https://ctcn.wustl.edu/postdoc-fellows Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience 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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4 positions in neuromorphic computing at the University of Lille, France
by Pierre Boulet Feb. 22, 2024

Feb. 22, 2024

Dear colleagues, The university of Lille has open several positions in neuromorphic computing at the CRIStAL lab. We are hiring 1 associate professor, 2 PhD students and 1 postdoc. All these positions are fully funded. Please see https://www.hipeac.net/jobs/#/?q=cristal for detailed information and do not hesitate to contact me if you are interested. Best regards, Pierre. -- // Pierre Boulet /Vice-président numérique,/ Professeur d'informatique, Faculté des Sciences et Technologies, CRIStAL - UMR 9189, Président de l'association VP-Num. Pierre.Boulet(a)univ-lille.fr <mailto:prenom.nom@univ-lille.fr> /// pro.univ-lille.fr/pierre-boulet <https://pro.univ-lille.fr/pierre-boulet> Siège : 42 rue Paul Duez, 59000 Lille IRCICA : 50 avenue Halley - Bureau 103, 59658 Villeneuve d’Ascq cedex T.+33 (0)6 09 08 18 11

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Methods in Computational Neuroscience course (CORRECT LINK)
by Stefano Fusi Feb. 22, 2024

Feb. 22, 2024

Applications are open for the Methods in Computational Neuroscience course at the Marine Biology Laboratory in Woods Hole, MA. The course will run from July 24 to August 20, 2024. The online application form and additional information can be found at: https://www.mbl.edu/education/advanced-research-training-courses/course-off… *The new course application deadline is *March 6*.* The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. *2024 Course Directors:* Roozbeh Kiani (NYU), Stefano Fusi (Columbia) *2024 Faculty:* Adrienne Fairhall (U. of Washington) André Fenton (NYU) Anne Churchland (UCLA) Bard Ermentrout (U. of Pittsburgh) Byron Yu (Carnegie Mellon U.) Claudia Clopath (Imperial College) Eve Marder (Brandeis U.) Haim Sompolinsky (Harvard U.) Ila Fiete (MIT) James Firtzerald (Janelia Res. HHMI) John Murray (Dartmouth) Kim Stachenfeld (DeepMind+Columbia U.) Larry Abbott (Columbia U.) Loren Frank (UCSF) Marcelo Mattar (NYU) Mark Goldman (UC Davis) Nao Uchida (Harvard U.) Nelson Spruston (Janelia Res. HHMI) Reza Shadmehr (Johns Hopkins U.) Roozbeh Kiani (NYU) Sara Solla (Northwestern U.) Scott Linderman (Stanford U.) Srdjan Ostojic (ENS – PSL) Stefano Fusi (Columbia U.) Steve Baccus (Stanford U.) SueYeon Chung (Flatiron I.+NYU) Surya Ganguli (Stanford U.) Xiao-Jing Wang (NYU)

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Call for applications - Brains for Brains Young Researcher Award
by Alexander Lammers Feb. 22, 2024

Feb. 22, 2024

International early career scientists who have shown their outstanding potential at a very early career stage are invited to apply for the Brains for Brains Award. You can win a 2000 € travel grant to join the Bernstein Conference 2024 and visit labs of Bernstein members. ____ Who can apply? International students of all nationalities from relevant disciplines (biology, medicine, physics, mathematics, computer science, engineering, psychology, etc.) who plan to pursue a research career in computational neuroscience and who have at least one peer reviewed publication (as co-author) or peer reviewed conference abstract (as first author). ____ The award is endowed with: * a travel grant of 2.000 € for a one-week trip to Germany, including free participation at the Bernstein Conference 2024 in Frankfurt * the chance to present your research as a talk and as a poster at the Bernstein Conference 2024 * individually planned visits to labs of the Bernstein Network Computational Neuroscience ____ Application deadline: April 21, 2024, 23:59 CEST ____ Details & application https://bernstein-network.de/en/network/awards-and-initiatives/brains-for-b… ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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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One week left! Abstracts for Convention on Mathematics of Neuroscience and AI. Rome, May 28-31st 2024
by Battleday, Ruairidh Feb. 22, 2024

Feb. 22, 2024

One week left to submit abstracts for the 5th International Convention on the Mathematics of Neuroscience and AI, to be held in Rome 28th-31st May 2024. We hope that you come and join us! Thank you to all the people that have submitted already—the quality so far has been fantastic. In this high-profile convention we examine computational accounts of the brain and mind from the perspectives of biocomputation, neural theory, and cognitive science. We then take findings and theory back into the creation of robust, generalizable, and scalable AI: www.neuromonster.org We invite submissions for each session via this Google form: https://forms.gle/u8tJU4PtkT1EKYte7 Keynote Speakers Professor Peter Dayan (Max Planck Institute, Tübingen) Professor Sophie Deneve (ENS, Paris) Professor Wolfgang Maass (TUG) Professor Mackenzie Mathis (EPFL) Professor Anne Collins (UC Berkeley) Dr Feryal Behbahani (Google DeepMind) Dr Giovanni Pezzulo (NRC of Italy, Rome) Session Chairs Biocomputation Yasmine Ayman (Harvard) Professor Dan Nicolau Jr (KCL) Neural theory Dr James Whittington (Stanford / Oxford) Dr Francesca Mastrogiuseppe (Champalimaud) Cognitive science Dr Ruairidh Battleday (Harvard / MIT) Dr Antonella Maselli (NRC Italy) AI Dr Ishita Dasgupta (Google DeepMind) Dr Ilia Sucholutsky (Princeton) Confirmed speakers Biocomputation Professor Andrew Adamatzky (UWE) Professor Panayiota Poirazi (FORTH, Crete) Professor Jason Shepherd (Utah) Professor Christine Grienberger (Brandeis) Neural theory Professor Rafal Bogacz (Oxford) Professor Athena Akrami (UCL) Professor Nicolas Brunel (Duke) Professor Kanaka Rajan (Harvard) Dr Lea Duncker (Stanford) Dr Kris Jensen (UCL) Cognitive science Professor Dagmar Sternad (Northeastern) Professor Bill Thompson (UC Berkeley) Professor Samuel McDougle (Yale) Dr Maria Eckstein (DeepMind) Dr Fred Callaway (NYU / Harvard) AI Professor Kevin Ellis (Cornell) Professor Najoung Kim (BU, Google) Dr André Barreto (DeepMind) Dr Sophia Sanborn (USB / UBC) Dr Wilka Carvalho (Harvard) The submission format is a single A4 sheet containing (at least) an abstract of 250 words, along with any additional material you think valuable. These will be accepted for poster, spotlight, or a short talk. Submission deadline is 28th February AOE. A limited number of early-bird registrations have been posted on our website! Normal registration will follow after the submission deadline. The convention will be held at the Villa Wolkonsky, in San Giovanni, Rome (10 minutes walk from the Colosseum). The Organizing Committee. -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking, Inc (www.thinkingaboutthinking.org) Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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NeuroBridges 2024 / Deadline to apply : April 1st. 2024
by Ahmed El Hady Feb. 22, 2024

Feb. 22, 2024

*NeuroBridges 2024* *A Mediterranean, Middle Eastern Summer School in Neuroscience* *Deadline to apply: April 1st, 2024* *NeuroBridges 2024* is a summer school which will take place between *September 15 and September 26, 2024* in Le Centre de Conferences Internationales de Cluny, France (CCIC) <https://streaklinks.com/B3KCp_jAQOMpwC7dQwRSV3xc/https%3A%2F%2Fcollegecluny…>. The school will provide an overview of theoretical and experimental frameworks used to study a variety of *decision making* processes. It will cover different model systems from rodents to humans and a plethora of decision making mechanisms. Another objective of Neurobridges is to bring together *Mediterranean and Middle Eastern scientists*, in order to promote scientific cooperation between young researchers from these countries. The organizers of NeuroBridges are convinced that such scientific collaborations can lead to personal relations, which eventually may alleviate the political distress in the Middle East. The school is intended for graduate students and postdocs, primarily, but not only, from the Middle East and the Mediterranean region, either working in their home countries or abroad. Applicants should have some background in related fields in neuroscience or cognitive psychology. *All costs of registration and accommodation will be covered by the organizers. A limited number of travel grants will be also be available*. *NeuroBridges 2024 Faculty:* * Alaa Ahmed (U. Colorado) * Rava Azeredo da Silveira (IOB and CNRS) * Sylvie Granon (Université Paris-Saclay) * David Hansel (CNRS) * Carole Levenes (CNRS) * Yonatan Loewenstein (Hebrew U.) * Eran Lottem (Hebrew U.) * Drazen Prelec (MIT) * Reza Shadmehr (John Hopkins U.) * Haim Sompolinsky (Hebrew U. and Harvard) * *NeuroBridges*is co-organized by Ahmed El Hady (Uni Konstanz / Max Planck Institute), David Hansel (CNRS, Paris), Yonatan Loewenstein (Hebrew University of Jerusalem, Israel) and Carole Levenes (CNRS, Paris). ** *NeuroBridges 2024* is supported by the Simons Foundation, the ANR and ELSC, and is in partnership with VVTNS (https://www.wwtns.online/ <https://www.wwtns.online/>). For more information and application, visit our website: https://neurobridges.net/ *Contact us:*neurobridges2024@gmail.com <mailto:neurobridges2023@gmail.com>

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Call for Participants: IRCN and Chen Institute Joint Course on Neuro-inspired Computation on July 16-19, 2024
by nagai.yukie＠mail.u-tokyo.ac.jp Feb. 22, 2024

Feb. 22, 2024

Dear colleagues, IRCN and Chen Institute Joint Course on Neuro-inspired Computation Date: July 16-19, 2024 Venue: The University of Tokyo, Japan Host: International Research Center for Neurointelligence (WPI-IRCN) and Tianqiao & Chrissy Chen Institute https://ircn.jp/en/events/07_ircncourse2024 [ Description ] In an unprecedented collaborative effort, the World Premier International Research Center for Neurointelligence (WPI-IRCN) at the University of Tokyo and the Tianqiao & Chrissy Chen Institute (Chen Institute) are proud to present an innovative course designed to explore the frontier where natural and artificial intelligence converge. It delves into critical areas such as intrinsic dynamics, network architectures, prediction, plasticity and criticality, as well as multi-agent learning and neuromodulation, highlighting the potential for cross-disciplinary innovation in understanding cognitive processes. Participants will benefit from a rich program featuring lab tours at leading research facilities, global networking opportunities, collaborative writing for a special issue on neurointelligence, and interactions with world-class speakers. This course is designed to inspire a diverse cohort of students, researchers, and professionals to engage deeply with the latest research and contribute to the evolving field of neurointelligence, fostering a global community committed to advancing our understanding of cognitive systems. [ Application ] Deadline: March 22, 2024, 15:00 JST (Please see the web page for details) [ Speakers ] Eva Dyer (Georgia Institute of Technology) Pawel Herman (KTH Royal Institute of Technology) Dmitry Krotov (MIT-IBM Watson AI Lab) Simon Schultz (Imperial College London) Taro Toyoizumi (Riken Center for Brain Science) Naoshige Uchida (Harvard University) Leila Wehbe (Carnegie Mellon University) Kazuyuki Aihara (WPI-IRCN, The University of Tokyo) Zenas Chao (WPI-IRCN, The University of Tokyo) Shin Ishii (Kyoto University / WPI-IRCN, The University of Tokyo) Yasuo Kuniyoshi (Graduate of School of Information Science and Technology / WPI-IRCN, The University of Tokyo) Yukie Nagai (WPI-IRCN, The University of Tokyo) Kenichi Ohki (WPI-IRCN, The University of Tokyo) Takamitsu Watanabe (WPI-IRCN, The University of Tokyo) Best, Yukie Nagai, on behalf of the organizing committees — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Feelings: https://cognitive-feeling.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org

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School of Ideas in Neuroscience 2024
by Mateusz Kostecki Feb. 21, 2024

Feb. 21, 2024

Hello! We are super happy to announce *School** of Ideas in Neuroscience 2024!* How the knowledge in neuroscience is accumulated? How can we make sense of the terabytes of empirical data we collect every day? In everyday work, we often forget that every scientific endeavour is embedded in a broader theoretical framework. At the same time, most courses and workshops in neuroscience teach us experimental techniques, giving us more tools to gather more data. But, we are not taught how to develop ideas and integrate our research with the existing knowledge. *We believe that theoretical thinking and idea development are skills that can be trained just as new methodologies and data analysis tools*. At our school, we aim to teach participants how to think theoretically to collect data that makes sense and to make sense of collected data! Come to Warsaw to discuss the most exciting theories and ideas with neuroscientists & philosophers! We provide beautiful surroundings, great atmosphere and a lot of time to talk and think together. The school will take place in Warsaw, *July 9th - July 15th 2024*, in the famous historical building of Polish Academy of Sciences Museum of the Earth, in the beautiful park area of the city. *The fee is EUR 550, but we offer fee waivers and travel grants*. Please find more info and the application form here - https://nenckiopenlab.org/school-of-ideas-2024/ Best, School of Ideas Team -- --- Mateusz Kostecki PhD Student Knapska Laboratory Nencki Institute 02-093 Warsaw, Pasteura 3, Poland https://twitter.com/mtkostecki https://evolvingbehavior.blog/

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Methods in Computational Neuroscience at MBL: DEADLINE EXTENDED
by Stefano Fusi Feb. 21, 2024

Feb. 21, 2024

Applications are open for the Methods in Computational Neuroscience course at the Marine Biology Laboratory in Woods Hole, MA. The course will run from July 24 to August 20, 2024. The online application form and additional information can be found at: https://www.mbl.edu/education/courses/methods-in-computational-neuroscience/ <https://ws2.mbl.edu/studentapp/studentapp.asp?courseid=MCN> *The new course application deadline is *March 6*.* The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. *2024 Course Directors:* Roozbeh Kiani (NYU), Stefano Fusi (Columbia) *2024 Faculty:* Adrienne Fairhall (U. of Washington) André Fenton (NYU) Anne Churchland (UCLA) Bard Ermentrout (U. of Pittsburgh) Byron Yu (Carnegie Mellon U.) Claudia Clopath (Imperial College) Eve Marder (Brandeis U.) Haim Sompolinsky (Harvard U.) Ila Fiete (MIT) James Firtzerald (Janelia Res. HHMI) John Murray (Dartmouth) Kim Stachenfeld (DeepMind+Columbia U.) Larry Abbott (Columbia U.) Loren Frank (UCSF) Marcelo Mattar (NYU) Mark Goldman (UC Davis) Nao Uchida (Harvard U.) Nelson Spruston (Janelia Res. HHMI) Reza Shadmehr (Johns Hopkins U.) Roozbeh Kiani (NYU) Sara Solla (Northwestern U.) Scott Linderman (Stanford U.) Srdjan Ostojic (ENS – PSL) Stefano Fusi (Columbia U.) Steve Baccus (Stanford U.) SueYeon Chung (Flatiron I.+NYU) Surya Ganguli (Stanford U.) Xiao-Jing Wang (NYU)

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Call for Satellite Workshop Proposals - Bernstein Conference 2024 in Frankfurt am Main
by Alexander Lammers Feb. 21, 2024

Feb. 21, 2024

The Bernstein Network Computational Neuroscience invites proposals for Satellite Workshops at the Bernstein Conference 2024 in Frankfurt am Main, Germany. ____ 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. https://www.bernstein-conference.de/ ____ Invited speakers Dmitriy Aronov (Columbia University, USA) Alison Barker (Max Planck Institute for Brain Research, Germany) Helen Barron (University of Oxford, UK) Elizabeth Buffalo (University of Washington, USA) Alex Cayco Gajic (Ecole Normale Supérieure, France) Jan Drugowitsch (Harvard University, USA) Jakob Macke (University of Tübingen, Germany) Tirin Moore (Stanford University, USA) Mala Murthy (Princeton University, USA) Memming Park (Champalimaud Foundation, Portugal) Xiao-Jing Wang (New York University, USA) ____ Satellite Workshops Satellite Workshops of the Bernstein Conference 2024 provide a forum to discuss topical research questions, novel scientific approaches, and challenges in computational neuroscience and related fields. Ideally, the format should foster extensive scientific discussions and debates, and go beyond a mere series of talks. https://bernstein-network.de/bernstein-conference/call-for-satellite-worksh… ____ Important Dates Satellite Workshops: September 29 - 30, 2024 * Sunday, Sep 29, 14:00 - 18:30 CEST * Monday, Sep 30, 8:30 - 12:30 CEST Main Conference: September 30 - October 2, 2024 Deadline for Satellite Workshop proposal submission: April 10, 2024 – 15:00 CEST Notification of Satellite Workshop acceptance: May 2024 ____ Benefits of participation Satellite Workshop registration is free for speakers of workshops. Workshop organizers (max. 2 per workshop) will receive waivers for the Satellite Workshops and Main Conference. ____ 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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FRCCS 2024 Montpellier, France May 29 – 31, 2024 Deadline Extended March 4, 2024
by Hocine Cherifi Feb. 21, 2024

Feb. 21, 2024

Fourth* F*rench* R*egional* C*onference on* C*omplex* S*ystems May 29 – 31, 2024 Montpellier, France *FRCCS 2024* <https://iutdijon.u-bourgogne.fr/ccs-france/> Deadline Extension: *March 4, 2024 (Firm Deadline).* FRCCS is a single-track international conference organized by CSS France <https://www.cssfrance.org/> to foster interdisciplinary exchanges among researchers from various scientific disciplines and diverse backgrounds, including sociology, economics, history, management, archaeology, geography, linguistics, statistics, mathematics, and computer science. FRCCS 2024 provides a valuable opportunity for participants to meet in France, exchange, promote ideas, and facilitate the cross-fertilization of recent research work, industrial advancements, and original applications. You are cordially invited to submit your contribution until *March 4, 2024* *.* Finalized work (published or unpublished) and work in progress are welcome. Two types of contributions are accepted: · *Papers* about *original research* (up to 12 pages) · *Extended Abstract* about *published or unpublished* research (3 to 4 pages). *Keynote Speakers* · Petter Holme <https://petterhol.me/>, Aalto University, Finland · Sonia Kéfi <https://biodicee.edu.umontpellier.fr/who-we-are/sonia-kefi/>, Université de Montpellier, France · Natasa Przulj <https://www.bsc.es/przulj-natasa>, Barcelona Supercomputing Center, Spain · Boleslaw K. Szymanski <https://www.cs.rpi.edu/~szymansk/> Rensselaer Polytechnic Institute, USA · Ingmar Weber <https://ingmarweber.de/>, Saarland University, Germany *Publication* o Contributions will be included in the conference proceedings (With ISBN) o *Selected submissions of unpublished work will be invited for publication in special issues (fast track procedure) **of the journals:* o Applied Network Science, <https://appliednetsci.springeropen.com/> edited by Springer o Frontiers in Big Data <https://www.frontiersin.org/journals/big-data>, edited by Frontiers *Submission * · Submit on CMT Microsoft at: https://cmt3.research.microsoft.com/FRCCS2024/ · *Select the Track: FRCCS2024* *Topics include, but are not limited to: * · *Foundations of complex systems * - *Complex Networks * - *Neuroscience, **Linguistics* - *Economics & Finance* - *Infrastructure, planning, and environment * - *Biological and (bio)medical complexity * - *Social complexity* - *Socio-Ecological Systems* - *Organisms and populations * - *Engineering systems and systems of systems* - *Complexity in physics and chemistry* *GENERAL CHAIRS* Roberto Interdonato CIRAD, UMR TETIS, Montpellier Bruno Pinaud LABRI University of Bordeaux *PROGRAM CHAIRS* Hocine Cherifi University of Burgundy Pascal Poncelet University of Montpellier Join us at COMPLEX NETWORKS 2024 <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 Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor Applied Network Science <https://appliednetsci.springeropen.com/> 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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Postdoctoral Position in MRI data analysis of cerebellar development
by Jorn Diedrichsen Feb. 20, 2024

Feb. 20, 2024

We are looking to recruit a new postdoctoral associate for a large collaborative project on the anatomical development of the human cerebellum. The overall goal of the project is to develop a high-resolution normative model of human cerebellar development across the entire life span (see raynorcerebellumcharts.github.io<https://raynorcerebellumcharts.github.io/>). The successful candidate will join the Diedrichsen Lab<http://www.diedrichsenlab.org/> (Western University, Canada) and will work with a team of colleagues at Erasmus Medical Center, the Donders Institute (Netherlands), McGill, Dalhousie, Sick Kids, and UBC (Canada). A PhD degree in Neuroscience, Statistics, Computer Science, Engineering, Psychology, Medicine or related fields is required. Expertise in machine learning, analysis of medical imaging data, and/or normative modeling is highly desired. The project is funded for a 3 year duration, with the initial contract for 2 years. The exact starting date is negotiable, but is ideally as close as possible to the project start date, April 1st, 2024. Review of application will start March 5th and continue until the position is filled. For more information and application instructions, please see the full ad on our website<https://www.diedrichsenlab.org/open_postdoc_raynor.htm>. Jörn Diedrichsen Western Research Chair Brain Mind Institute Department of Computer Science Department of Statistical and Actuarial Sciences Email: jdiedric(a)uwo.ca<mailto:jdiedric@uwo.ca> Tel: 1-519-661-2111 x86994

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Call for applications - MSc Neuroscience, University of Freiburg, Germany
by Carsten Mehring Feb. 20, 2024

Feb. 20, 2024

MSc program in Neuroscience - University of Freiburg, Germany We are inviting applications for the interdisciplinary MSc program in Neuroscience at the University of Freiburg, Germany. The program provides theoretical and practical training in neuroscience, covering both the foundations and latest research in the field. It is taught by lecturers from an international scientific community from multiple faculties and neuroscience research centres. The modular course structure caters to the specific backgrounds and research interests of each individual student and we offer specialisations in neural circuits and behavior, computational neuroscience and neurotechnology. All courses are taught in English. We welcome applications with a background in natural sciences, mathematics, behavioural sciences, computer science, medicine or engineering sciences. The deadline for applications for the October 2024 entry is the 31st of March 2024. Further details can be found on our homepage http://www.mscneuro.uni-freiburg.de <http://www.mscneuro.uni-freiburg.de/> With kind regards Carsten Mehring — Bernstein Center Freiburg & Faculty of Biology University of Freiburg

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short research stay at the Cluster of Excellence Centre for Advanced Study of Collective Behavior
by Ahmed El Hady Feb. 20, 2024

Feb. 20, 2024

*Opportunity for a research stay at the Cluster of Excellence Centre for Advanced Study of Collective Behavior* Call for Ph.D. students and postdocs interested in working on a short-term project, "Animal vocal source localization using machine learning," at Excellence Centre for Advanced Study of Collective Behavior at the University of Konstanz and the Max Planck Institute of Animal Behavior We are seeking talented and motivated Ph.D. students and postdocs to work on a machine learning solution that allows us to localize the position of animals vocalizing in the field, using acoustic information. We have openings for one Ph.D. student and one postdoc. The successful Ph.D. student and the postdoc will receive, respectively, a 6- month (1300 euros/month) and 9-month (2100 euros/month) fellowship to work in the state-of-the-art facility at the University of Konstanz and the Max Planck Institute of Animal Behavior together with leading scientists in the field. We are seeking candidates with the following qualifications: 1. Experience with advanced signal processing 2. Experience designing deep neural networks 3. Good programming skills in Python 4. The Ph.D. student has to be in the second year or later of the graduate school accredited by CAPES in Brazil 5. The successful Ph.D. candidate is required to obtain a written consent from her/his advisor 6. The postdoc candidate should provide a Ph.D. certificate 7. International candidates for the postdoc position are welcome 8. All candidates should send a short CV and a paragraph explaining how the candidate can contribute to the project's objective. The call will be open until the positions are filled. For more information, please contact Ahmed El Hady: ahmed.el-hady@unikonstanz. de or Daniel Y. Takahashi: takahashiyd(a)neuro.ufrn.br with the email title: Interest in Ph.D./postdoc position for the project "Animal vocal source localization using machine learning,"

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Postdoc/PhD in systems neuroscience and complexity at Uni of Sydney
by Joseph Lizier Feb. 19, 2024

Feb. 19, 2024

Dear all, We would like to advertise 1x Postdoc and 1x PhD position in Systems Neuroscience and Complexity at The University of Sydney. The successful candidates will join a dynamic interdisciplinary collaboration between A/Prof Mac Shine<http://www.jamesmacshine.com/> (Brain and Mind Centre), A/Prof Joseph Lizier<http://lizier.me/joseph/> (School of Computer Science) and Dr Ben Fulcher<http://www.benfulcher.com/> (School of Physics), within the University's Centre for Complex Systems, focused on advancing our understanding of brain function and cognition using cutting-edge computational and neuroimaging techniques at the intersection of network neuroscience, dynamical systems and information theory. The positions are funded by a grant from the Australian Research Council "Evaluating the Network Neuroscience of Human Cognition to Improve AI". Post-Doctoral Fellow in Systems Neuroscience and Complexity<https://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Camperdown…>: Full time, research only fixed term position for 24 months. Lead supervisor: A/Prof. Mac Shine The Postdoc will process and analyse functional neuroimaging data (fMRI, EEG, etc.) to extract meaningful insights into brain function. The successful candidate will hold a PhD in Neuroscience, Computational Neuroscience, Psychology, or a related field (by July 2024); have a strong background in computational modelling and/or functional neuroimaging techniques; and proficiency in programming languages commonly used in neuroscience research (e.g., Python, MATLAB). PhD scholarship: Characterising information flow networks across brain regions in rest and task<https://lizier.me/joseph/phdprojects.html#infoflowneuro>: available to both domestic and international applicants for 3.5 years (fulltime), providing the tuition fees and a stipend. Lead Supervisor: A/Prof. Joseph Lizier The PhD student will conduct applications of, and/or updates to algorithms for, inferring brain network models to represent information flow relationships between brain regions (via information-theoretic measures), based on time-series neural recordings. The successful candidate will hold a Bachelor's degree with honours or Master's degree in a relevant quantitative field (e.g. computer science, physics, mathematics), including completing a research thesis (first-class honours equivalent results are essential); and excellent skills in computational numerical analysis (in Python and/or Matlab) and in applied mathematics. For further details and how to apply, see the links above for both positions. Deadline Feb 28 (PhD position open until filled) --joe -- A/Prof. Joseph Lizier The University of Sydney School of Computer Science, Faculty of Engineering

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FENS Satellite on Dynamic Auditory Predictions in Human and Non-human Primates – Call for Abstracts
by Robert Baumgartner Feb. 19, 2024

Feb. 19, 2024

Dear Colleagues, In conjunction with this year’s FENS Forum, we are thrilled to announce a satellite symposium on ‘Dynamic Auditory Predictions in Human and Non-human Primates,’ short Dynamates Symposium, taking place in Vienna, Austria, on Monday, June 24, 2024. This symposium brings together experts in the field of cognitive neuroscience, cognitive biology and computational modeling to address key questions in predictive auditory processing with a focus on spatial and temporal auditory perception in volatile environments. It will cover purely behavioural approaches as well as combinations with eyetracking, EEG and other neuroimaging modalities. Invited speakers: - Florent Meyniel (Neurospin, CEA Paris-Saclay, France) - John van Opstal (Donders Centre for Neuroscience, Netherlands) - Simone Pika (Institute of Cognitive Science, University of Osnabrück, Germany) - Barbara Shinn-Cunningham (Carnegie Mellon Neuroscience Institute, USA) Registration: - Fill out this form <https://leidenuniv.eu.qualtrics.com/jfe/form/SV_22WteXETC6Ay47A> - First come first serve (max. 80 participants) - Registrants encouraged to submit a poster abstract - Deadline: March 27, 2024 For further details, visit our symposium webpage <https://www.oeaw.ac.at/en/ari/forschung/fachbereiche-teams/hoeren/dynamates…>. Best wishes from the organizing committee, Robert Baumgartner Burcu Bayram Roman Fleischmann Julia Grabner David Meijer Ulrich Pomper Michelle Spierings P.S.: Apologies for cross-postings! — Robert Baumgartner, PhD (he/his) Auditory Cognitive Neuroscience Acoustics Research Institute Austrian Academy of Sciences Dominikanerbastei 16, 1010 Vienna, Austria +43 1 51581-2527 @RobeBaumgartner

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Save the date: EITN Fall School in Computational Neuroscience
by DEPANNEMAECKER Damien Feb. 16, 2024

Feb. 16, 2024

SAVE THE DATE EITN eBrains Fall School in Computational Neuroscience Save the date: Marseille, October 16th to 25th, 2024 The EITN eBrains Fall School in Computational Neuroscience is scheduled to be held in Marseille, France, from October 16th to 25th, 2024. This 10-day intensive program offers a comprehensive exploration of theoretical and computational neuroscience methods, to build models from single neurons to whole-brain scales. The course covers cellular models, spiking neural networks, mean-field models, and whole-brain models, with corresponding lectures and tutorials provided for each topic, to be applied during project works. Ph.D. students, young postdocs, or master's students interested in learning about computational neuroscience techniques and utilizing various simulation environments for model construction will collaborate in thematic group projects under the mentorship of experienced tutors.

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Transatlantic Behavioural Neuroscience Summer School, Sept 9-20th 2024, Deadline: Feb 15th
by Mateusz Kostecki Feb. 14, 2024

Feb. 14, 2024

Hello! We would like to remind you that the deadline for registration to our *Transatlantic Behavioural Summer School is Feb 15h*! During our school you will learn how to deliver stimuli or modify the environment in which the animal is embedded with *Arduino-based devices and Bonsai code*; you will design and *3D-print cases* and holders for your instruments. And then you will apply cutting-edge tools:* Deeplabcut, keypoint-MoSeq, and CEBRA* – to extract as much information as possible from your data. But that’s not everything. At TBNSS you will *listen to fascinating lectures and interact with speakers*, who explored bold ideas and made their unique career paths. You will look at what behavior is through many lenses. Most importantly though, *you will meet people with similar interests and goals*. And you may become a part of our global Open Lab community, and help us to spread the knowledge further! More information and the application form can be found here - https://nenckiopenlab.org/tbnss2024/. *The deadline for application is Feb 15th, the fee is EUR 900, but we have secured funding for fee waivers and travel grants if needed.* With best wishes, TBNSS Team -- --- Mateusz Kostecki PhD Student Knapska Laboratory Nencki Institute 02-093 Warsaw, Pasteura 3, Poland https://twitter.com/mtkostecki https://evolvingbehavior.blog/

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Job Opening: Lab Mechatronics / Programmer/ Research and Admin Assistant (m/f/d) 100% in Tuebingen, Germany
by Pavlovic, Maria Feb. 14, 2024

Feb. 14, 2024

The Department for Sensory and Sensorimotor Systems of the Max-Planck-Institute for Biological Cybernetics studies the processing of sensory information (visual, auditory, tactile, olfactory) in the brain and the use of this information for directing body movements and making cognitive decisions. The research is highly interdisciplinary and uses theoretical and experimental approaches in humans. Our methodologies include visual psychophysics, eye tracking, fMRI, EEG, TMS in humans. For more information, please visit the department website: <http://www.lizhaoping.org/> www.lizhaoping.org We are currently looking for a Lab Mechatronics / Programmer/ Research and Admin Assistant (m/f/d) 100% to join us, this position is open until it is filled. The position You will provide hardware, software, data taking, and managerial support for a diverse set of brain and neuroscience research activities. This includes: * Computer and IT support of Windows and Linux systems * Programming and debugging of computer code, especially at the stage of setting up new equipment or new experimental platforms * Provide technical, administrative, and operational support in the research data taking process. (The position holder should either have previous experience in visual psychophysics, or have the ability to quickly learn the data taking processes involved in the labs.) * Carry out or arrange for hardware repairs and troubleshooting * Equipment inventory and maintenance * Supervising and training of new equipment users * Setting up, updating and managing the database of knowledge and data from research projects, personnel and activities Our department is interdisciplinary, with research activities including human visual psychophysics, eye tracking, fMRI, EEG, TMS. We are looking for a person with a broad technical knowledge base, who loves working in a scientific environment and who is curious, open-minded, and able to adapt and learn new skills and solve new problems quickly. The set of skills that the individual should either already have or can quickly learn includes: MATLAB/Psychotoolbox, Python/OpenCV, Javascript, graphics and display technologies, EEG data taking techniques and similar, eye tracking, optics, electronics/controllers/sensors, etc. Your profile * Relevant degree in the field of physics, cognittive science, psychology, neuroscience, mechatronics, electronics, computer science, or related discipline. Scientific experience is a plus * Evidence or track record of broad technical skills and/or experience * Curiosity about our research topics * Good teamwork skills * A high level of resilience and professionalism * Ability to anticipate problems and skills in project management and communication * Strong command of English; fluency in German is highly desirable We offer We offer highly interesting, challenging and varied tasks; you will work closely and collaboratively with scientists, students, programmers, administrative staff, and central IT and mechanical/electronic workshop support to help achieve the scientific goals of the department. An international environment with regular opportunities for further education and training awaits you. The salary is paid in accordance with the collective agreement for the public sector (TVöD Bund), based on qualification and experience and will include social security benefits and additional fringe benefits in accordance with public service provisions. This position is initially limited to two years, with the possibility of extensions and a permanent contract. The Max Planck Society seeks to employ more handicapped people and strongly encourages them to apply. Furthermore, we actively support the compatibility of work and family life. The Max Planck Society also seeks to increase the number of women in leadership positions and strongly encourages qualified women to apply. The Max Planck Society strives for gender equality and diversity. Your application The position is available immediately and will be open until filled. We look forward to receiving your application that includes a cover letter, your curriculum vitae, relevant certificates, and three names and contacts for reference letters electronically by e-mail to <mailto:jobs.li@tuebingen.mpg.de> jobs.li(a)tuebingen.mpg.de, where informal inquiries can also be addressed to. Please note that incomplete applications will not be considered. For further opportunities in our group, please visit <https://www.lizhaoping.org/jobs.html> https://www.lizhaoping.org/jobs.html

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Konstanz School of Collective Behaviour 2024
by Ahmed El Hady Feb. 14, 2024

Feb. 14, 2024

*Konstanz School of Collective Behaviour 2024* *Konstanz, Germany * *Deadline to apply: April 5th, 2024* The Konstanz School of Collective Behaviour (KSCB) will take place between /22nd July 2024 – 9th August 2024/ at the Cluster of Excellence Centre for the Advanced Study of Collective Behaviour (CASCB) at the University of Konstanz <https://www.uni-konstanz.de/en/>. Uni Konstanz is a University of Excellence and ranked #1 young university in Germany with “Collective Behaviour" <https://www.exc.uni-konstanz.de/collective-behaviour/> as one of five research foci. Konstanz <https://www.konstanz.de/start> is a vibrant, small city located on the border between Germany and Switzerland, on the shores of the Bodensee (Lake Constance). Over three weeks, students will delve deeply into the topic of collective behaviour with lectures, hands-on tutorials, and projects, making it a unique and unforgettable experience. The school faculty will cover collective behaviours across a variety of species from worms, drosophila, fish to non – human primates and human. A set of tutorials delving into state-of-the-art quantitative methods used to study collective behaviour will complement the lectures. At the end of the school, students will work on independent projects guided by our resident faculty. Accommodation will be provided and paid by the organizers. A limited number of travel grants will be provided and a registration fee will be due (400 Euros) once the student is admitted to the Konstanz School of Collective Behaviour. The registration fee will be waived to those coming from underrepresented minorities and those in need of financial support. For further information and application, visit our website: _https://www.exc.uni-konstanz.de/kscb/application-procedure/ <https://www.exc.uni-konstanz.de/kscb/application-procedure/> _ *KSCB 2024 faculty (still more to come): *Lilach Avitan, Zachary Kilpatrick, Allyson Sgro, Ariana Strandburg-Peshkin, Anne Templeton, Karoline Wiesner, Einat Couzin, Liang Li, Serena Ding *Contact: **ahmed.el-hady(a)uni-konstanz.de <mailto:ahmed.el-hady@uni-konstanz.de> * ** *All the best regards,* ** Ahmed El Hady On behalf of the KSCB organizational committee

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Methods in Computational Neuroscience at MBL in Woods Hole 2024
by Stefano Fusi Feb. 13, 2024

Feb. 13, 2024

Applications are open for the Methods in Computational Neuroscience course at the Marine Biology Laboratory in Woods Hole, MA. The course will run from *July 24* to *August 20, 2024*. The online application form and additional information can be found at: https://www.mbl.edu/education/courses/methods-in-computational-neuroscience/ <https://ws2.mbl.edu/studentapp/studentapp.asp?courseid=MCN> The course application deadline is **February 28**. The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. *2024 Course Directors:* Roozbeh Kiani, New York University Stefano Fusi, Columbia University *2024 Faculty (confirmed):* André Fenton (NYU) Anne Churchland (UCLA) Bard Ermentrout (U. of Pittsburgh) Byron Yu (Carnegie Mellon U.) Claudia Clopath (Imperial College) Eve Marder (Brandeis U.) Haim Sompolinsky (Harvard U.) Ila Fiete (MIT) James Firtzerald (Janelia Res. HHMI) John Murray (Dartmouth) Kim Stachenfeld (DeepMind+Columbia U.) Larry Abbott (Columbia U.) Loren Frank (UCSF) Marcelo Mattar (NYU) Mark Goldman (UC Davis) Nao Uchida (Harvard U.) Nelson Spruston (Janelia Res. HHMI) Reza Shadmehr (Johns Hopkins U.) Roozbeh Kiani (NYU) Sara Solla (Northwestern U.) Scott Linderman (Stanford U.) Srdjan Ostojic (ENS – PSL) Stefano Fusi (Columbia U.) Steve Baccus (Stanford U.) SueYeon Chung (Flatiron I.+NYU) Surya Ganguli (Stanford U.) Xiao-Jing Wang (NYU)

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Abstract extended Feb 16 for EMBO Dendrites
by Julijana Gjorgjieva Feb. 12, 2024

Feb. 12, 2024

Dear Colleagues, We have extended the abstract submission deadline for the EMBO Workshop on DENDRITES to Friday, February 16! The workshop will take place in Chania, Crete on 21-24 May 2024. This is the 5th of a very successful series of meetings on the island of Crete that is dedicated to dendrites. The meeting will bring together scientific leaders from around the globe to present their theoretical and experimental work on dendrites. The meeting program is designed to facilitate discussions of new ideas and discoveries, in a relaxed atmosphere that emphasizes interaction. Please register and submit your abstract online at: https://meetings.embo.org/event/24-dendrites No payment is required for abstract submission. Submissions of abstracts are due by February 16th, 2024. Notifications will be provided by March 1st, 2024 Registration payment due by April 15th, 2024 For more information about the conference, please refer to our web site or send email to info(a)mitos.com.gr We look forward to seeing you in person at DENDRITES 2024! The organizers, Julijana Gjorgjieva, Mark Harnett and Lucy Palmer ----------------------------------------- Julijana Gjorgjieva, PhD Professor of Computational Neuroscience Technical University of Munich School of Life Sciences Maximus-von-Imhof-Forum 3 85354 Freising, Germany office: +49 8161 71 2709 https://www.mls.ls.tum.de/compneuro/

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PhD studentships at University of Hertfordshire
by Nada Yousif Feb. 12, 2024

Feb. 12, 2024

Applications are invited by the Centre for Future Societies Research for three fully funded PhD studentships at the University of Hertfordshire. These research studentships will be part of the University Alliance (UA) Doctoral Training Alliance in Future Societies, and include the proposed project: "Low-cost, accessible neurostimulation, experiments and simulations" to be supervised by Dr Nada Yousif and Prof Volker Steuber. The PhD project will combine experimental cerebellar stimulation and computational modelling of the cerebellum to show the feasibility of low-cost, accessible non-invasive neurostimulation for treating movement disorders. Please see the Centre for Future Societies Research web page where project details are held on https://www.herts.ac.uk/research/centres/centre-for-future-societies-resear… Closing date for applications: 20th May 2024. Interviews will start soon after the closing date. Studentship start date: September 2024. For informal enquiries contact Dr Nada Yousif (n.yousif(a)herts.ac.uk<mailto:n.yousif@herts.ac.uk>) or Prof Volker Steuber (v.steuber(a)herts.ac.uk<mailto:v.steuber@herts.ac.uk>, http://biocomputation.herts.ac.uk/) Dr Nada Yousif School of Physics, Engineering and Computer Science University of Hertfordshire +44 (0)1707 284129 n.yousif(a)herts.ac.uk<mailto:n.yousif@herts.ac.uk> https://researchprofiles.herts.ac.uk/en/persons/nada-yousif https://sites.google.com/view/nada-yousif/home

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Postdoc position with Priebe/Seidemann/Taillefumier labs at University of Texas, Austin
by Weatherly, Christopher J Feb. 12, 2024

Feb. 12, 2024

The Departments of Neuroscience, Mathematics, and Psychology at UT Austin are inviting applications for a postdoctoral research position to work with Professors Nicholas Priebe, Eyal Seidemann and Thibaud Taillefumier. The position is funded by an NIH grant shared by the Priebe, Seidemann and Taillefumier labs. The grant focuses on explaining the origin and putative roles of the neural variability recorded in visual cortex during behavior. A significant component of the proposed work will consist of modeling and statistical analysis of simultaneous recordings of single-cell membrane potential and extracellular neural populations during a variety of behavioral tasks. Competitive candidates include those with a strong computational skills. Applicants should have a PhD in computational neuroscience or related quantitative fields. Applicants should submit a curriculum vitae, a list of publications, a brief description of research interests, and should arrange for a letter of recommendation to be sent. All application materials as well as any inquiries should be sent to Thibaud Taillefumier (thibaud(a)utexas.edu<mailto:thibaud@utexas.edu>), Eyal Seidemann (eyal(a)austin.utexas.edu<mailto:eyal@austin.utexas.edu>), or Nicholas Priebe (nico(a)austin.utexas.edu<mailto:nico@austin.utexas.edu>). The successful candidate will join a highly dynamic collaborative environment across the departments of Neuroscience, Mathematics, and Psychology and within the Center for Computational and Theoretical Neuroscience, all at UT Austin. Within this environment, the collaboration between the Priebe, Seidemann and Taillefumier research groups combines experimental, computational, and theoretical approaches to understand the neural basis for vision processing in the brain. UT Austin is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin. --- Christopher Weatherly Executive Assistant to Robert Messing, MD Department of Neuroscience - The University of Texas at Austin

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Origins of Order in Behaviour Workshop: Deadline extended till Feb 15h
by Mateusz Kostecki Feb. 12, 2024

Feb. 12, 2024

Dear Colleagues, we have extended the deadline for our Workshop of Ideas in Neuroscience: Origins of Order in Behaviour till Feb 15th! Come to Warsaw, to beautiful wooden house in the middle of the greenest part of the city, to discuss the concept of instinct and innate behaviour, the role of genes, environmental and organismal factors in the development of behaviour and behavioural evolution together with our fantastic guest: Kevin Mitchell, Gregory Kohn, Joanna Rączaszek Leonardi and Daniel Czegel. The workshop will be based on extensive talks and discussions in an informal atmosphere - more info can be found here - https://nenckiopenlab.org/origins_of_order/ Best, Mat -- --- Mateusz Kostecki PhD Student Knapska Laboratory Nencki Institute 02-093 Warsaw, Pasteura 3, Poland https://twitter.com/mtkostecki https://evolvingbehavior.blog/

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position: data scientist / data analyst researcher at NIMH
by Francisco Pereira Feb. 11, 2024

Feb. 11, 2024

(reposting for a colleague, please follow contact instructions at the end if interested; apologies for repeated postings!) ### HIRING: Data Analyst / Data Scientist Position at the CDN Lab The Unit on Computational Decision Neuroscience (CDN, https://www.nimh.nih.gov/research/research-conducted-at-nimh/research-areas… ) at the National Institute of Mental Health is seeking a full-time Data Scientist/Data Analyst. The lab is focused on understanding the neural and computational bases of adaptive and maladaptive decision-making and their relationship to mental health. Current studies investigate how internal states lead to biases in decision-making and how this is exacerbated in mental health disorders. Our approach involves a combination of computational model-based tasks, questionnaires, biosensor data, fMRI, and intracranial recordings. The main models of interest come from neuroeconomics, reinforcement learning, Bayesian inference, signal detection, and information theory. The main tasks for this position include but are not restricted to computational modeling of behavioral data from decision-making and other cognitive tasks, statistical analysis of task-based, clinical, physiological and neuroimaging data, as well as data visualization for the purposes of scientific presentations, public communication, and academic manuscripts. The candidate is expected to demonstrate experience with best practices for the development of well-documented, reproducible programming pipelines for data analysis, that facilitate sharing and collaboration, and live up to our open-science philosophy, as well as to our data management and sharing commitments at NIH. No prior experience with psychiatry research is needed but a familiarity with the constructs and models of interest in the lab (value-based learning and decision-making, metacognition, belief updating, emotion regulation, and/or effort-cost estimation) is desirable, as these are universally important for understanding adaptive healthy functioning and psychiatric disease. This is an exciting opportunity for a candidate with established programming and analytic skills to work at the cutting edge of psychiatry research and computational cognitive neuroscience. You can find more about our work and recent publications at https://www.nimh.nih.gov/research/research-conducted-at-nimh/research-areas… ## Job Requirements: - Assisting with setting up and managing analysis pipelines - Conducting advanced analysis of behavioral, physiological, and imaging data, including but not limited to computational modeling and machine learning - Integrating complex datasets across multiple modalities, including fMRI, electrophysiology, biosensor data neuroendocrinology, behavior, and self-report - Assisting in data visualization for manuscripts and presentation of results at scientific meetings - Supporting/co-mentoring junior members of the lab on data analysis practices ## Qualifications: - A PhD in neuroscience, cognitive science, psychology, computer science, data science, statistics, engineering, or a related field - Strong programming skills (ideally in Python, and/or MATLAB, R) - Experience working within Linux environment and cloud computing - An ability to work well in multidisciplinary and highly collaborative teams - An interest in translational research - A track record or potential for scholarly productivity - Effective independent problem-solving and task prioritization ## Experience with any of the following is not required, but preferred: - Computational modeling (mathematical optimization, reinforcement learning, Bayesian inference, neuroeconomics or other types of modeling of human/animal learning and decision-making) - statistical inference (e.g. generalized linear models, mixed effect models, state space models, survival analysis) - Dynamic analysis of longitudinal or time series data (e.g. neuroimaging, MEG, EEG, or neural recordings) - Advanced statistical methods and machine learning The data analyst will work under the supervision of Dr. Silvia Lopez-Guzman on projects that aim to understand (1) the process of adaptively evaluating options and committing to a choice; (2) how changes in internal and motivational states may abnormally shape decisions in individuals with and without psychopathology; and (3) how cognitive and metacognitive resources support these adaptive or maladaptive decision-making processes. The CDN lab leverages the rich clinical resources and computational expertise across the NIH, and collaborates actively with labs that specialize on addiction, depression, anxiety, and pain. The lab is an active part of a growing community of expert labs on learning and decision-making who work together to improve our understanding from the circuits and behavioral neuroscience level to the human cognitive and clinical levels, making this a unique opportunity for any scientist with an interest in decision science and computational psychiatry. ## How to Apply: To apply, please send your CV and a cover letter to Dr. Silvia Lopez-Guzman (silvia.lopezguzman(a)nih.gov ) with the subject “CDN Lab Data Analyst App”. Inquiries about any aspect of the position are very welcome!

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Grenoble Neurotech School 2024 (Aussois, France, April 2-5): Preregistration opened
by Blaise Yvert Feb. 9, 2024

Feb. 9, 2024

Dear Colleagues, We are pleased to announce the upcoming school on Neurotechnologies organized by the Grenoble-Neurotech IDEX project from the University Grenoble Alpes The school will be held at the CNRS Paul Langevin center in Aussois on April 2-5, 2024 It is intended for PhD students, postdocs, young scientists and anyone interested by neurotechnologies. For this first edition, the number of selected applications will be limited to 40 We will provide certificates of attendance for PhD students in case they would like to make this school validated by their doctoral school Here are 3 links for details: Descriptive flyer: https://framaforms.org/sites/default/files/forms/files/grenoble_neurotech_s… Program: https://framaforms.org/sites/default/files/forms/files/grenoble_neurotech_s… Free pre-registration: https://framaforms.org/grenoble-neurotech-school-2024-1698319763 Selected applicants will then be asked to register and make payment by the end of February Kind regards, Blaise Yvert, for the organizing committee.

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