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18 postdoctoral positions in computational/data science at the University of Oslo
by Gaute Einevoll 01 Mar '24

01 Mar '24

DSTrain is a 5-year postdoctoral programme launched and managed by the “dScience – Centre for Computational and Data Sciences” at the Faculty of Mathematics and Natural Sciences at the University of Oslo (UiO). DSTrain will award 36 postdoctoral fellowship positions within the overarching frame of data science, emphasizing interaction between data science, computational science, natural sciences, and technology. The fellowships will be of 36 months each, announced in two calls over the program period. We now open for applications to the 1st cohort of 18 fellowship positions, that will start their postdoctoral projects autumn 2024 at UiO. Starting date no later than October 1, 2024. Deadline for application: April 14, 2024 For more information, including on how to apply for the job, see https://www.jobbnorge.no/en/available-jobs/job/255679/dstrain-msca-postdoct… ******************************* Professor Gaute T. Einevoll Department of Physics, Norwegian University of Life Sciences, 1432 Aas, Norway; Department of Physics, University of Oslo, 0316 Oslo, Norway theoretical neuroscience podcast: theoreticalneuroscience.no<https://theoreticalneuroscience.no> popular science podcast: vettogvitenskap.no<https://vettogvitenskap.no> popular science podcast (English only): vettogvitenskap.no/senseandscience<https://vettogvitenskap.no/senseandscience> Co-author of "Principles of computational modeling in neuroscience" (2nd ed): www.cambridge.org/sterratt2<http://www.cambridge.org/sterratt2/> mobile: +47-95124536 email: Gaute.Einevoll(a)nmbu.no<mailto:Gaute.Einevoll@nmbu.no>, Zoom: uio.zoom.us/j/7764062033<https://uio.zoom.us/j/7764062033> twitter: twitter.com/gauteeinevoll<https://twitter.com/gauteeinevoll> “If you sleep in a democracy, you may wake up with a dictator.”

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Reminder: Call for applications for Systems Vision Science Virtual Summer School & Symposium, June 19 -July 12, 2024
by Pavlovic, Maria 01 Mar '24

01 Mar '24

Systems Vision Science Virtual Summer School & Symposium: June 19th – July 12th, 2024 -------------------------------- Applications are invited for a <https://summerschool.lizhaoping.org/virtual-systems-vision-science-summer-s…> virtual edition of <https://summerschool.lizhaoping.org/> the Systems Vision Science Summer School and Symposium that took place in Max Planck Institute for Biological Cybernetics in Tuebingen, Germany in August 2023. This year, the virtual edition enables students to attend from afar by formal lectures via Zoom and informal and social communications via a Slack channel. Systems Vision Science combines computational, behavioral, and neuroscience methods to discover functions and algorithms for vision in various brain regions and their implementations in neural circuits. This summer school is designed for everyone interested in gaining a systems level understanding of biological vision. We plan a coherent, graduate-level, syllabus on the integration of experimental data with theory and models. The syllabus content will be very similar to the edition in 2023, the learning format, the delivery, and social interactions will be adjusted to suit the virtual format. Experience or knowledge in (A) computational methods, (B) visual psychophysics, and (C) vision neuroscience, is not required. However, experience in at least one of (A), (B), and (C), and a readiness to learn, is expected. The Summer School will be followed by a Systems Vision Science Virtual Symposium on July 12th. All admitted summer school students will be invited to attend this symposium and are encouraged to submit for a presentation at the symposium. The symposium will also feature two invited keynote presentations. A certificate of completion of the summer school course will be provided after the student’s successful completion of the summer school. -------------------------------- Important Dates: March 31, 2024 Deadline for applications April 12, 2024 Notification of acceptance April 29, 2024 Registration fees due June 19 – Virtual Systems Vision Science Summer School takes place July 10, 2024 (formal lectures via Zoom and informal and social communications via a Slack channel) July 12, 2024 Virtual Systems Vision Science Symposium takes place (3 -7 pm German time) -------------------------------- Please click <https://summerschool.lizhaoping.org/virtual-systems-vision-science-summer-s…> here to find more details and to apply by March 31, 2024. Summer School admission will be based on interest/motivation and prior knowledge/experience of the applicants, and on how much the applicants could benefit from participation. Please direct inquiries to <mailto:svs.summerschool@tue.mpg.de> svs.summerschool(a)tue.mpg.de -------------------------------- Organizing Team Li Zhaoping Maria Pavlovic Junhao Liang Max Planck Institute for Biological Cybernetics University of Tuebingen <http://www.lizhaoping.org> www.lizhaoping.org .

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Multiple postdoctoral positions in computational neuroscience (neural coding), Hamburg, Germany
by Stefano Panzeri 29 Feb '24

29 Feb '24

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 29 Feb '24

29 Feb '24

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 29 Feb '24

29 Feb '24

(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 29 Feb '24

29 Feb '24

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 29 Feb '24

29 Feb '24

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 28 Feb '24

28 Feb '24

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 28 Feb '24

28 Feb '24

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 28 Feb '24

28 Feb '24

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 27 Feb '24

27 Feb '24

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 26 Feb '24

26 Feb '24

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 26 Feb '24

26 Feb '24

*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 26 Feb '24

26 Feb '24

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) 25 Feb '24

25 Feb '24

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 24 Feb '24

24 Feb '24

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) 23 Feb '24

23 Feb '24

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 23 Feb '24

23 Feb '24

(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 23 Feb '24

23 Feb '24

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 23 Feb '24

23 Feb '24

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 22 Feb '24

22 Feb '24

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 22 Feb '24

22 Feb '24

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 22 Feb '24

22 Feb '24

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 22 Feb '24

22 Feb '24

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 22 Feb '24

22 Feb '24

*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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