- Comp-neuro - lists.cnsorg.org

Open PhD position - Spiking Neural Networks for scalable learning neuromorphics
by Robert Legenstein Sept. 29, 2023

Sept. 29, 2023

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

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Postdoc position on signal processing, AI and software for a closed-loop epilepsy, CLINATEC, Grenoble, France
by COSTECALDE Thomas Sept. 29, 2023

Sept. 29, 2023

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

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The Purdue CCNLAB is recruiting a new graduate student for Fall 2024!
by Helie, Sebastien Sept. 29, 2023

Sept. 29, 2023

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

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Postdoc position on predictive representation / dynamic RSA, CIMeC, Uni Trento, Italy
by Moritz Wurm Sept. 29, 2023

Sept. 29, 2023

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

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Modellers Workshop for the Brain Dynamics Toolbox (Final Call)
by Stewart Heitmann Sept. 29, 2023

Sept. 29, 2023

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

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Organization for Computational Neurosciences - call for self-nominations to the Board of Directors
by Rubchinsky, Leonid L Sept. 28, 2023

Sept. 28, 2023

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

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Two Computational Neuroscience Faculty Positions at UChicago
by Brent Doiron Sept. 28, 2023

Sept. 28, 2023

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

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Postdoctoral Associate Position in Cardiac-Cortical Circuit Modelling at the Group for Neural Theory and LNC2, Ecole Normale Superieure, Paris.
by Boris Sept. 28, 2023

Sept. 28, 2023

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

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PhD student in Amsterdam on embodied decision-making
by Bernadette van Wijk Sept. 28, 2023

Sept. 28, 2023

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

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UniReps Workshop on Unifying Representations in Neural Models, NeurIPS 2023, DEADLINE 04 Oct
by Clementine Domine Sept. 27, 2023

Sept. 27, 2023

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

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