- Comp-neuro - lists.cnsorg.org

Postdoc position to model the sensorimotor system controlling forelimbs in mice

by Alexander Mathis

The Mathis^2 and Arber labs seek applicants for a postdoctoral fellow in computational neuroscience The Arber Laboratory at the University of Basel (Research Group Silvia Arber - Biozentrum<https://www.biozentrum.unibas.ch/research/research-groups/research-groups-a…>), Mathis Group of Computational Neuroscience & AI (https://mathisgroup.org<https://mathisgroup.org/>) and Mathis Laboratory of Adaptive Motor Control (https://mackenziemathislab.org<https://mackenziemathislab.org/>) at EPFL (Geneva, Switzerland) offer a postdoc position with the goal to model the sensorimotor system controlling forelimb movements in mice. We aim to build hierarchical models of the sensorimotor system controlling mouse forelimbs based on a variety of datasets including anatomy, connectivity, high content neuronal recordings, biomechanics, behavior tracking, functional interventions, genetic/molecular and cell type information based on spatial transcriptomics. EPFL<https://www.epfl.ch/de/> is one of the leading Institutes of Technology in Europe, and Biozentrum<https://www.biozentrum.unibas.ch/> the home of Molecular Life Science embedded in the Basel Circuits Neuroscience community<https://www.basel-neurocircuits.ch/>. Both offer competitive salaries and research infrastructure, together allowing to approach this challenging research project. Requirements: Candidates should have a Ph.D. with a strong publication record in computational neuroscience or related fields, and be eager to interact with experimentalists. An ideal candidate would have prior experience in: ● Machine learning ● Modeling neural data ● Handling of large and diverse datasets ● Biomechanics ● Fluency in oral and written English is required. Deadline and starting date: Applications are requested starting from December 1st 2023 and will then be processed as they arrive until the position is filled. The ideal starting date is spring 2024. How to apply: Postdoctoral applications should consist of a motivation letter, a CV, two relevant publications, and the email addresses of two or more referees. Please submit your application to the EPFL hiring platform: https://recruiting.epfl.ch/Vacancies/3178/Description/2 Related Work: A functional map for diverse forelimb actions within brainstem circuitry.<https://www.nature.com/articles/s41586-020-03080-z> Ludwig Ruder, Riccardo Schina, Hash Kanodia, Sara Valencia-Garcia, Chiara Pivetta and Silvia Arber, Nature, 2021 Structural and functional map for forelimb movement phases between cortex and medulla <https://www.cell.com/cell/pdf/S0092-8674(22)01522-7.pdf>Wuzhou Yang, Harsh Kanodia and Silvia Arber, Cell, 2023 Learnable latent embeddings for joint behavioural and neural analysis<https://www.nature.com/articles/s41586-023-06031-6> Steffen Schneider*, Jin Hwa Lee*, and Mackenzie Weygandt Mathis, Nature, 2023 DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body<https://arxiv.org/abs/2209.14218> Alberto Silvio Chiappa, Alessandro Marin Vargas, Alexander Mathis. NeurIPS, 2022. Contrasting action and posture coding with hierarchical deep neural network models of proprioception <https://www.biorxiv.org/content/10.1101/2020.05.06.081372v3> Kai J. Sandbrink*, Pranav Mamidanna*, Claudio Michaelis, Matthias Bethge, Mackenzie Weygandt Mathis**, Alexander Mathis**, eLife, 2023 Please do not hesitate to reach out, if you have any questions! If you want to do a PhD on this topic, also feel free to reach out. Best wishes, Alexander Mathis P.S.: We also have an open software engineer position. We started interviewing, but are inviting further top candidates to apply: https://recruiting.epfl.ch/Vacancies/3124/Description/2 [cid:clip_image001.png] Alexander Mathis Tenure Track Assistant Professor people/alexander.mathis mathislab.org<http://mathislab.org>

Nov. 25, 2023

Full time Lecturer in Computational/Cognitive Neuroscience (Manchester, UK)

by Caroline Lea-Carnall

The University of Manchester wishes to appoint a full-time Lecturer in Computational Neuroscience / Experimental Psychology / Cognitive Neuroscience (Teaching and Research) to join the Division of Psychology, Communication and Human Neuroscience at the University of Manchester. The successful applicant will have a research profile that has a strong fit to key research themes in the Division. Candidates with demonstrable skills and interests in applying computational approaches to central research questions in experimental psychology and/or cognitive neuroscience are particularly encouraged to apply. The successful applicant will contribute to undergraduate and masters level teaching with a particular focus on contemporary technical research skills (e.g. Python, GitHub, advanced statistical analysis in R). Application deadline: 11th December 2023 Full details and how to apply here: https://www.jobs.manchester.ac.uk/Job/JobDetail?isPreview=Yes&jobid=27033&a… Caroline Lea-Carnall, PhD | Lecturer in Neuroscience | School of Health Sciences | Faculty of Biology, Medicine and Health The University of Manchester | Room 3.07d, Zochonis Building | Oxford Road | Manchester M13 9PG

Nov. 23, 2023

Save the Dates: ACAIN 2024 - 4th Int. Advanced Course & Symposium on Artificial Intelligence & Neuroscience, September 22-25 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy -> Submission Deadline: March 23

by Giuseppe Nicosia

Call for Participation & Call for Papers (apologies for multiple copies) _______________________________________________________________ The 4th International Advanced Course & Symposium on Artificial Intelligence & Neuroscience, September 22-25, 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy W: https://acain2024.icas.events E: acain(a)icas.cc FB: https://www.facebook.com/ACAIN.LakeDistrict/ Symposium Deadlines Paper Submission (Symposium): by Saturday March 23, 2024 (AoE). https://acain2024.icas.events/symposium-call-for-papers/ https://easychair.org/conferences/?conf=acain2024 Notification of Decision for Papers (Symposium): by Wednesday July 10, 2024. Camera Ready Submission (Symposium): by Monday July 20, 2024. Author Registration (Symposium): by July 20, 2024. Regular Registration (Symposium): by Saturday March 23, 2024. Late Registration (Symposium): from Sunday March 24, 2024. Course Deadlines Regular Registration (Course): by Saturday March 23, 2024. Late Registration (Course): from Sunday March 24, 2024. Oral Presentation Submission (Course): by Saturday March 23, 2024. Notification of Decision for Oral Presentation (Course): by August 31, 2024. SCOPE & MOTIVATION: ACAIN 2024: AI meets Computational Neuroscience and Cognitive Science The ACAIN 2024 symposium and course is an interdisciplinary event featuring leading scientists from AI and Neuroscience, providing a special opportunity to learn about cutting-edge research in the fields of AI, Neuroscience, Neuroscience-Inspired AI, Human-Level AI, and Cognitive Science. The 4th Advanced Course and Symposium on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion four-day Course and Symposium in Tuscany on cutting-edge advances in Artificial Intelligence and Neuroscience with lectures delivered by world-renowned experts. The Course provides a stimulating environment for academics, early career researchers, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with oral talks or posters, and to interact with their colleagues, in a convivial and productive environment. Two days of keynote talks and oral presentations, the ACAIN Symposium, (September 24-25), will be preceded by lectures of leading scientists, the ACAIN Course, (September 22-23). Bringing together AI and neuroscience promises to yield benefits for both fields. The future impact and progress in both AI and Neuroscience will strongly depend on continuous synergy, exchange, collaboration and efficient cooperation between the two research communities. These are the goals of the International Course and Symposium - ACAIN 2024, which is aimed both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2024 accepts rigorous research that promotes and fosters multidisciplinary interactions between artificial intelligence and neuroscience. The Advanced Course is suited for scholars, academics, early career researchers, Post-Docs, PhD students and industry leaders. The Event (Course and Symposium) will involve a total of 36-40 hours of lectures. Academically, this will be equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Event. COURSE DESCRIPTION: https://acain2024.icas.events/course-description/ SYMPOSIUM CALL FOR PAPERS: https://acain2024.icas.events/symposium-call-for-papers/ SYMPOSIUM PROGRAM COMMITTEE (partial list, confirmed members): https://acain2024.icas.events/program-committee/ ORGANIZING COMMITTEE: https://acain2024.icas.events/symposium-committee/ VENUE & ACCOMMODATION: https://acain2024.icas.events/venue/ ACAIN 2024 is a *Residential Conference*, all participants (invited speakers, authors, organizers, chairs, participants) must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed. https://lod2024.icas.events/lod-2024-a-residential-conference/ Riva del Sole Resort & SPA a: Località Riva del Sole - Castiglione della Pescaia (Grosseto) CAP 58043, Tuscany - Italy p: +39-0564-928111 f: +39-0564-935607 e: booking.events(a)rivadelsole.it w: www.rivadelsole.it/en ACTIVITIES: https://acain2024.icas.events/activities/ REGISTRATION: https://acain2024.icas.events/registration/ See you in Tuscany in September! ACAIN 2024 Organizing Committee. E: acain(a)icas.cc W: https://acain2024.icas.events FB: https://www.facebook.com/ACAIN.LakeDistrict --

Nov. 23, 2023

Computational neuroscient INRIA position, Lyon

by Francoise Lecaignard

CALL FOR EXPRESSIONS OF INTEREST We are seeking for a computational neuroscientist, to apply for an INRIA position to join our COPHY team, in the Lyon Neuroscience Research Center (CRNL). Host team The COPHY<https://www.crnl.fr/en/equipe/cophy?language=en> team (Computation, Cognition and Neurophysiology) is led by Mathilde Bonnefond and Jérémie Mattout. It is composed of 5 researchers, 2 research engineers, 1 clinician and 11 national and international docs and postdocs. It is also regularly hosting internships of mostly engineers, Master 1 and Master 2 students with different backgrounds. Host institution The CRNL<https://www.crnl.fr/en/news-home?language=en> is a large INSERM/CNRS/University Lyon 1 research center, gathering more than 450 people spread across 20 teams and 10 platforms. It is located in the Lyon East Hospital Pole, a unique site combining medical care (4 hospitals respectively dedicated to neurology, psychiatry, cardiology and pediatrics), basic and clinical research (from genes and cells to cognition and behaviour; from bench to patient), as well as high-tech technological platforms (incl. Neuroimaging, MEG, SEEG, virtual reality). Scientific context In various sensory modalities, in health and disease, we mainly study human perception in the aim of unravelling its underlying cognitive, computational and neurophysiological mechanisms. Our team aims at innovating at the theoretical, methodological, experimental and clinical levels. In particular, we study neuronal encoding and communication (e.g., the emergence and functional role of oscillations; the computation behind the contextual modulations of cortical responses) in relation to brain disorders. This also guides the design of neurotechnologies (brain-computer interfaces) for research and clinical applications: namely ADHD, motor deficits and disorders of consciousness. Therefore, and beside behavioural and classical neuroimaging approaches (electrophysiology, fMRI), we use multimodal high-resolution neuroimaging (e.g., laminar MEG and fMRI) and computational modelling (e.g., Bayesian inference, Dynamic Causal Models of neuronal and cognitive processes; Spiking/Deep Neural Networks). Methods and models lie at the heart of our research. With this call, we aim at strengthening this core axis that is key to translating our theoretical hypothesis into testable quantitative predictions. Our team has recently evolved so that our hypothesis driven approach now spans several spatial and temporal scales (e.g., from neurotransmitters to behaviour; from trial-by-trial dynamics to neurodevelopment). Instantiating these hypotheses requires to build on most recent advances in computational neurosciences, for developing biologically plausible models of cognitive processes and their underlying physiological mechanisms. We thus develop models to be confronted with actual data. We actually use models to strongly guide the design of our experiments and provide new tools for data analysis (new algorithms that can be implemented in open software and shared with the whole team and beyond). We attach particular importance to the valorisation of computational models and methods, be it through their publication and diffusion, or by virtue of their impact on translating our research into societal and clinical applications. Finally, we also value methodological developments that support the emergence of new functional techniques (e.g. for the analysis of data from the new generation of MEG systems: optically pumped magnetometers (OPMs)). Desired candidate profile We seek for a young researcher whose profile will strongly complement our team. We expect the candidate to lead her/his own research program in computational neuroscience, but in strong interaction with the topics and experimental projects in the team. The important skills and topics we would like to further develop in the team include but are not limited to: – Spiking neural networks – Bayesian models (e.g. Active Inference) – Dynamical systems – Brain-Computer Interfaces – Machine Learning A previous experience in software development, teaching and human electrophysiology is not mandatory but will be a plus. INRIA position This call is to select a candidate for our team to apply for an INRIA position. In a single application, the candidate will have the possibility to apply to both a permanent research position (CRCN<https://www.inria.fr/en/researchers-normal-class-crcn>) and an INRIA starting faculty position (ISFP<https://www.inria.fr/en/inria-starting-faculty-position-isfp>). This process is organized once a year. A first stage requires the submission of a written application (around the end of winter 2024 for the next session). If preselected,the candidate will then defend her/his project orally in front of a jury (second and last recruitment stage). Application Application should contain a full resume (CV), a research and motivation statement (1 page max.) as well as the names of 2 references. Please send your application as a single document in pdf format, to both mathilde.bonnefond(a)inserm.fr and jeremie.mattout(a)inserm.fr, in an email entitled “Call for INRIA candidates”. Submission dead-line: December 8 (midnight GMT) this year. Remote interviews of the pre-selected candidates will likely be organized on December 20 and 21st this year. -------------------------------------------------------------------- Françoise Lecaignard Lyon Neuroscience research center (CRNL) - Team Cophy https://francoiselecaignar2.wixsite.com/flperso ________________________________

Nov. 22, 2023

Available Postdoc and PhD positions in computational neuroscience

by Lorenzo Fontolan

*Institut de Neurobiologie de la Méditerranée (INMED), Aix-Marseille University* The *Neural computation and dynamics* group led by Lorenzo Fontolan is seeking a postdoc and a Ph.D. student to join the lab. The projects are funded by the Turing Centre for Living Systems (CENTURI) at Aix-Marseille University, France. The selected candidates will develop computational models of brain circuits and/or cutting-edge analysis tools for the analysis of neural data, drawing inspiration from dynamical systems, physics, statistics, and machine learning. Research questions can be chosen from a range of topics – such as neural dynamics, neural coding, memory & learning, biophysics of the neuron. The Fontolan lab collaborates with local and international research groups employing advanced experimental techniques such as calcium imaging, optogenetics, and in vivo electrophysiology. The positions are funded by The Turing Center for Living Systems (CENTURI), an interdisciplinary center that aims at deciphering the complexity of biological systems, gathering researchers from 20 different research institutes in biology, physics, mathematics, computer science and engineering. The recruited candidates will conduct their project at the *Institut de Neurobiologie de la Méditerranée (Inmed). *Inmed, which accommodates more than 130 international researchers, is located inside the beautiful Luminy site of the Parc National des Calanques (Marseille). The Fontolan lab is also affiliated with the Center for Theoretical Physics here in Marseille. *Requirements*: Candidates with backgrounds in physics, mathematics, statistics, machine learning, computer science, and engineering are welcome to apply. The candidate should possess good mathematical and coding skills, plus the ability to think critically. In the Fontolan lab we are committed to creating an inclusive environment open to individuals from different cultures, ethnicities, and socio-economic backgrounds. Candidates should send a CV, a statement of interests, and expected date of availability to: lorenzo.fontolan(a)inserm.fr *For more information see:* Neural computation and dynamics group https://www.inmed.fr/neural-computation-and-dynamics Ph.D. position https://academicpositions.fr/ad/aix-marseille-universite/2023/phd-position-… Postdoc position https://academicpositions.fr/ad/aix-marseille-universite/2023/two-year-post… Looking forward to hearing from you! Lorenzo Fontolan -- Group Leader *Turing Centre for Living Systems (CENTURI) Institut de Neurobiologie de la Méditerranée & Centre de Physique Théorique Université Aix-Marseille, France* *https://www.inmed.fr/neural-computation-and-dynamics <https://www.inmed.fr/neural-computation-and-dynamics>* *https://centuri-livingsystems.org/l-fontolan/ <https://centuri-livingsystems.org/l-fontolan/>*

Nov. 20, 2023

Fully-funded PhD in machine-learning for analysing subject's decisions (Nottingham, UK)

by Mark Humphries

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.

Nov. 20, 2023

Master, PhD and postdoc positions in computational neuroscience at the University Medical Center Bonn

by Tatjana Tchumatchenko

Dear friends and colleagues, It would great if you could spread the word among your students and postdocs: My group now at the University of Bonn Medical Center is looking for Master, PhD Students and Postdocs. Scientifically, our focus in on model building and data analysis methods which we build in close collaborations with experimental labs world wide. We are one of the leading computational neuroscience teams in Europe and obtained competitive prizes and third party funding from the European Research Council, German Research Foundation and other funding schemes. Your role: *Postdoc position The postdoc candidate will be involved in a computational project addressing how neurons efficiently synthesize and distribute proteins in order to ensure that these are readily available across all synapses, will analyze data and model synaptic plasticity changes in order to understand health and disease states computationally. This work is centered on computational tools and includes pen-and-paper calculations, data analysis, and numerical simulations and requires an interdisciplinary mindset. *PhD position The PhD candidate will be conducting circuit level data analysis and modeling of neural activity states. He/she will contribute to the development of machine learning algorithms to analyse imaging data or to distinguish different behavioral activity states. This work is centered on dynamical systems methods, data analysis and numerical simulations and requires an interdisciplinary mindset. Master students interested in conducting Master thesis research (6-12 months) related to the two projects above a welcome to apply. Your profile *fluency in written and spoken English *very good interdisciplinary and interpersonal communication skills *Master or PhD degree (depending on position) in a quantitative field (incl. physics, mathematics, computer science, machine learning, computational biology, neuroscience, life-sciences etc.) with a clear motivation to make an impact in neuroscience and biology *very good understanding of computational methods *very good experience in programming *a clear motivation for interdisciplinary research and passion for science *ability to work independently and develop own ideas *commitment to contribute to a supportive, welcoming and friendly team spirit When applying please attach a CV (with a publication record) and a current copy of academic transcripts and mention at least one academic reference. We are an equal opportunity employer. Our goal is to increase the proportion of women in areas where women are underrepresented and to promote their careers. We therefore strongly encourage women with relevant qualifications to apply. Applications will be treated in accordance with the State Equal Opportunities Act. Applications from qualified candidates with proven severe disabilities and people of equal status are particularly welcome. Contact info: Prof. Tatjana Tchumatchenko email: tatjana.tchumatchenko(a)uni-bonn.de www.tchumatchenko.de

Nov. 19, 2023

Assistant Professor position in Computational Neuroscience

by Laura Grafe

Bryn Mawr College Department of Psychology Assistant Professor The Department of Psychology at Bryn Mawr College invites applications for a full-time, tenure-track Assistant Professor position in Computational Neuroscience to begin August 1, 2024. We welcome scholars using computational methods to investigate the interface between psychological/neuroscience phenomena. We are looking for candidates who have a theoretically and methodologically sophisticated research program and can meaningfully incorporate undergraduate students in such research. The successful candidate will be expected to teach a computationally focused survey course in neuroscience, a seminar and lab course in their area of expertise, and contribute to service courses (e.g., Research Methods and Statistics; Introduction to Neuroscience). Candidates are also expected to be part of the department’s efforts to develop and teach a diverse and inclusive curriculum, including interdisciplinary programs and other college-wide initiatives such as the 360 Program, Emily Balch Seminars and/or the Data Science Minor. Candidates should hold a doctoral degree in Psychology, Neuroscience, or a closely allied field and must have completed all Ph.D. requirements by the start date. Postdoctoral experience is desirable. To apply for this position, candidates must submit a cover letter, curriculum vitae, teaching philosophy, research statement, and a statement of demonstrated commitment to diversity and inclusion to the Department of Psychology Search Committee via Interfolio at: http://apply.interfolio.com/136166. Candidates are asked to indicate which service courses (Research Methods and Statistics and/or Introduction to Neuroscience) they would be able to teach in their teaching statement. Applications received by January 22, 2024 will receive full consideration. In addition, candidates should arrange for three letters of recommendation to be submitted via Interfolio to the Department of Psychology Search Committee. Bryn Mawr College is a distinguished liberal arts women’s college with a vibrant faculty of scholar-teachers, a talented staff and intellectually curious students eager to make a difference in the world. The College is committed to increasing the diversity of its students, faculty, staff, and curricular offerings with a particular focus on enhancing ethnic and racial diversity and advancing social justice and inclusion. We believe diversity strengthens our community and enriches the education of our students. We have a student body of about 1,400 undergraduates (32 percent are U.S. students of color and 14 percent are international students). There are over 300 graduate students in coeducational graduate programs in social work, humanities and science. Bryn Mawr College is located in metropolitan Philadelphia and enjoys strong consortial relationships with Haverford College, Swarthmore College, and the University of Pennsylvania. Bryn Mawr College is an equal-opportunity employer; candidates from underrepresented groups and women are especially encouraged to apply. Laura Grafe Assistant Professor of Psychology Bryn Mawr College 610-526-5020

Nov. 18, 2023

Postdoc Position (Moore and Tolias Lab at Stanford University)

by Lopez, Camila

The Moore (https://www.moorelabstanford.com<https://urldefense.proofpoint.com/v2/url?u=https-3A__www.moorelabstanford.c…>) and Tolias (https://toliaslab.org<https://urldefense.proofpoint.com/v2/url?u=https-3A__toliaslab.org&d=DwMGaQ…>) Laboratories at Stanford University are seeking candidates for a joint postdoctoral opportunity aimed at exploring the neural algorithms and mechanisms underlying visual perception and cognition in nonhuman primates. This distinctive role combines large-scale, multi-area neural recordings using Neuropixels with cognitive tasks, advanced AI tools, and closed-loop experimental methods. We are in search of a driven researcher committed to contributing to a multidisciplinary research program that connects extensive electrophysiological recordings across multiple areas with machine learning. The focus is on unraveling cognitive and perceptual algorithms in primates. The ideal applicant will possess a solid background in systems neuroscience and quantitative skills, with a special emphasis on machine learning. This position promises a vibrant and cooperative atmosphere within laboratories renowned for their expertise in mechanisms of perception and cognition, pioneering neural recording techniques and the application of AI in neuroscience research. Our labs are committed to career development and actively support diversity in science. Please send your CV and research interest statement to: Camila Lopez camilal(a)stanford.edu<mailto:camilal@stanford.edu>

Nov. 17, 2023

[Meetings] 2024 Nengo Summer School Call For Applications

by Michael Furlong

Dear colleagues, [All details about this school can be found online at https://www.nengo.ai/summer-school] The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 9th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. This two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Summer school participants will be given on-site access to neuromorphic hardware and will learn to run high-level applications using Nengo! More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems and has been used to build what is currently the world's largest functional brain model, Spaun, which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at the last in-person summer school, check out this short video: https://youtu.be/vRcN5-0wdQE We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. ***Application Deadline: February 1, 2024*** Format: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, modelling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: * interface Nengo with various kinds of neuromorphic hardware (e.g. Loihi 1, SpiNNaker) * build perceptual, motor, and sophisticated cognitive models using spiking neurons * model anatomical, electrophysiological, cognitive, and behavioural data * use a variety of single cell models within a large-scale model  * integrate machine learning methods into biologically oriented models * interface Nengo with cameras and robotic systems * implement modern nonlinear control methods in neural models * and much more… Date and Location: June 2nd to June 14th, 2024 at the University of Waterloo, Ontario, Canada. Applications: Please visit http://www.nengo.ai/summer-school, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact Michael Furlong (michael.furlong(a)uwaterloo.ca) The school is partly supported by ABR, Inc. We look forward to hearing from you!

Nov. 17, 2023