- Comp-neuro - lists.cnsorg.org

JOB ALERT - Postdoc and research assistant positions in Cambridge

by Flavia Mancini

Dear all, There are two positions available in my group at the University of Cambridge, in the Computational and Biological Learning research unit. 1 Postdoc • 2 years • Modelling neural dynamics involved in statistical/aversive learning and homeostatic/pain regulation • Scope to develop new projects https://www.jobs.cam.ac.uk/job/46142/ 1 Research Assistant • 1 year, extendible • Behavioral and neuroimaging experiments • To be advertised end April, start date asap More info: fm456(a)cam.ac.uk Many thanks! Best wishes, Flavia Mancini Assistant Professor & MRC Career Development Fellow Nox Lab / Computational Biological Learning Research Group Department of Engineering / University of Cambridge Fellow, Pembroke College

April 24, 2024

[Meetings] [CFP] Call for Submission: NeuroDesign in HRI Student Showcase Competition at ICRA 2024 (USD $1000 in cash)

by NeuroDesign in HRI

[Meetings] [CFP] (2nd Call) Call for Submission: NeuroDesign EXPO in HRI Student Showcase Competition at ICRA 2024 (USD $1000 in cash) —------------------------------------------------------------ =============================== Call for Submission =============================== NeuroDesign EXPO in HRI Student Showcase Competition ($1000 USD for participation) 2nd Workshop on NeuroDesign in Human-Robot Interaction: The making of engaging HRI technology your brain can’t resist IEEE International Conference on Robotics and Automation (ICRA 2024) Yokohama, Japan May 17, 2024 https://neurodesign-in-hri.webflow.io/ Dear Colleagues, Are you working on a human-interactive robot project that already has prototypes or some initial research findings? Perhaps you're pondering how to evolve these into more human-centric, real-world applications with a seamless, intuitive "brain"-centered experience, aiming to connect robots more deeply with our bodies, minds, and souls. Worry not! We're excited to announce the NeuroDesign EXPO in HRI Showcase Competition at ICRA 2024, in conjunction with the NeuroDesign in HRI workshop (https://neurodesign-in-hri.webflow.io/) This event will feature a panel of world-renowned experts from diverse fields such as Human-Robot Interaction (HRI), Artificial Intelligence (AI), Cognitive Neuroscience, Social and Behavioral Psychology, Art & Design, RoboEthics, and the Startup community. These professionals will offer live, integrated-perspective feedback and recommendations to help refine your projects into more impactful research and commercial products. We invite students at the BSc, MSc, and PhD levels to submit your projects. Submissions can fall into, but are not limited to, the following categories: - Affective Computing - Social and Service Robot - Industrial Collaborative Robot - Wearable Robot/ Device - Brain-Machine/Computer Interface - Haptics and Tele-operation - Soft Robotics - VR/AR & Metaverse - Cyborg and Bionic System - Healthcare Robotics - Exoskeleton and Rehabilitation Robot - LLM and Foundation Model for Human Robot Interaction - Brain Dynamics and Psychology for Cognitive and Physical HRI (cHRI/pHRI) - Human-Drone/AutoVehicle Interaction - Assistive Technology - Intelligence Augmentation and Human 2.0 Technologies - Supernumerary Limbs - Biometric Information Processing - Pervasive-Ubiquitous/Spatial Computing - Smart Home/Internet of Things (IoTs) - Edge-Fog-Cloud Computing - Speech/Gesture Recognition or Image/Audio Processing - Big Data, AI & Machine Learning for Multimodal Interaction - Smart Tutoring/Chatbot System - RoboEthics - RoboFashion, Clothing and Robot Skin - Diversity, Equity & Inclusion (DEI) for HRI Technologies Participation Procedure: Our selection process is on a rolling basis, and we aim to choose 10 projects for the final on-stage pitch presentation. We especially encourage those who have already submitted their work as posters or papers to ICRA 2024 or have publications elsewhere to participate in our event. This competition offers a fantastic opportunity to increase the visibility of your research globally. Submission Options: Submissions can be made in one of three formats: 1. A concise 100-word abstract and a 1-2 minute video, offering a brief yet engaging overview. 2. A 100-word abstract accompanied by 5 detailed slides for a short but thorough presentation. 3. A 2-page extended abstract (Please follow IEEE ICRA format: https://ras.papercept.net/conferences/support/word.php) for a more in-depth submission. *4. Participants are also welcome to submit using any combination of the above formats. Final Round and Presentation: The selected 10 projects will each have a 5-minute pitch presentation on stage during the final round. If the final project team is unable to attend in person in Japan, we will provide a Zoom link for virtual presentation. Alternatively, you may submit a polished, pre-recorded 5-minute video presentation, which we will play on stage. Exhibition and Virtual Participation: All submitted projects will receive a dedicated booth for poster and prototype demonstrations. For participants unable to travel to Japan, we will print your posters and display them on the bulletin boards at our venue. The event is designed to be "Hybrid" to ensure that everyone has the opportunity to participate, regardless of their ability to travel to Japan. A Zoom link will be provided for your virtual participation. Awards: We are thrilled to present two distinguished award categories at the competition. The "Best Innovation in HRI NeuroDesign Award" will be awarded to 3 outstanding projects, as recognized by our panel of speakers and committee members. The *First Prize* will be awarded for USD 1000 USD and the* 2nd Prize* will be awarded 800 hundred for the prototyping. These projects will exemplify groundbreaking innovation within Human-Robot Interaction NeuroDesign. Additionally, the "Most Popular Project in HRI NeuroDesign Award" will be given to 2 projects, for which the First Prize will be awarded for “Full Waiver” for the submission to Journal of Frontiers in Robotics and AI in that capture the hearts of our workshop attendees and audience, determined through a popular vote. Winners in both categories will receive certificates acknowledging their achievements. Timeline: - Submission Deadline: Your entries must be submitted by April 27, 2024. Please note that our selection process is rolling, so early submissions are encouraged. - Announcement of Final Project Teams: The teams selected for the final round will be announced on May 1, 2024. - Competition Date: The competition will take place on May 17, 2024, where finalists will present their projects to the panel and attendees. Submission Website: https://forms.gle/fQMxJtkXb8JEU2WR6 If you have any questions, please don't hesitate to reach out. We're looking forward to seeing you at ICRA 2024! Best regards, Organizing Committee 2nd Workshop on NeuroDesign in Human-Robot Interaction: The making of engaging HRI technology your brain can’t resist https://neurodesign-in-hri.webflow.io/

April 23, 2024

NEXTEN Conference deadline May 1st

by Goodhill, Geoffrey

NEXTEN: Envisaging Theoretical and Computational Neuroscience for the next 10 years May 16-17, 2024, Washington University in St Louis Full program now available: https://nexten.wustl.edu/program Final registration deadline is May 1st (or earlier if capacity is reached). Theoretical/Computational Neuroscience is currently undergoing a phase of unprecedented growth. Dramatic advances in the ease with which large-scale datasets of behavior, neural activity, connectomic and gene expression information can be collected have coincided with a revolution in the capabilities of Artificial Intelligence-based algorithms to interrogate such datasets. Concurrently, these new datasets are inspiring exciting new developments in mathematical tools for extracting their underlying structure and relationships. What is the current state of the art in our theoretical/computational understanding of the brain, and what does the future hold? You are invited to join an exciting line-up of leaders in the field to address these questions. Confirmed speakers include Mackenzie Mathis (EPFL) Terry Sejnowski (Salk Institute) Andreas Tolias (Baylor College of Medicine) Richard Zemel (Columbia University) ShiNung Ching (WashU) Naoki Hiratani (WashU) Adam Kepecs (WashU) Barani Raman (WashU) Gaia Tavoni (WashU) Please direct any questions to ctcn(a)wustl.edu Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) Washington University School of Medicine 4370 Duncan Ave. St Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

April 22, 2024

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

by Mark Humphries

A fully-funded PhD is immediately 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 published a Bayesian inference algorithm (Maggi et al., 2024, eLife<https://doi.org/10.7554/eLife.86491>) that enables trial-resolution tracking of learning and exploration during decision-making. 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. Studentship is for "Home" students<https://commonslibrary.parliament.uk/eligibility-for-home-fee-status-and-st…> only Application deadline: May 30th 2024 PhD start date: July 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.nottingham.ac.uk/psychology/study-with-us/phd-by-research/schoo… 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.

April 22, 2024

HNN Virtual Workshop, May 8th – Limited Places Available

by Paolo Lenotti

Hi all, We would like to invite you to a virtual workshop on the Human Neocortical Neurosolver (HNN) <https://cgR8v04.na1.hs-sales-engage.com/Ctc/OM+23284/cgR8v04/JkM4YGXpW6N1X8…>, jointly organized by the Stephanie Jones Lab and MetaCell, scheduled for May 8th. The workshop is aimed at researchers and clinicians with an interest in neuroscience but without formal computational modeling or coding experience. It will offer a detailed exploration of HNN, a tool designed to interpret the neural origins of human MEG/EEG data. *Workshop Highlights:* - Comprehensive Overview: The workshop will begin with a didactic presentation on the background and development of HNN, providing a foundation for its application in neuroscience research. - Practical Application: Participants will learn how to utilize the HNN graphical user interface (GUI) to investigate the circuit origins of commonly measured signals, including event-related potentials (ERPs) and low-frequency brain rhythms. - Advanced Interface Training: Discover how to use the HNN-core Python interface. *Registration Information:* The workshop will take place online on Wednesday, May 8th from 9am to noon ET. The number of participants will be limited to ensure a productive learning environment. Given the specialized nature of this workshop, we anticipate high interest. To secure your participation, we recommend signing up as soon as possible. A registration fee of $25.00 is required to help us cover the costs of organizing the event. Register here >> <https://cgR8v04.na1.hs-sales-engage.com/Ctc/OM+23284/cgR8v04/JkM4YGXpW6N1X8…> *About the Workshop Content:* MEG/EEG signals are critical to our understanding of both healthy and pathological brain functions, but interpreting these signals at the cellular and circuit levels remains challenging. The HNN software was developed to address this challenge, providing both a graphical and a programmable Python interface to an anatomically detailed model of neocortical circuits. The workshop will offer practical tutorials to guide participants through the process of using HNN to explore the origins of sensory ERPs and low-frequency brain rhythms. We look forward to your participation in this workshop, which promises to be an enriching experience for those looking to enhance their skills in computational neuroscience and the interpretation of MEG/EEG data. Click here to find out more and save your place >> <https://cgR8v04.na1.hs-sales-engage.com/Ctc/OM+23284/cgR8v04/JkM4YGXpW6N1X8…> Best regards, Paolo Lenotti on behalf of MetaCell & the Stephanie Jones Lab -- *Paolo Lenotti* www.MetaCell.us <http://www.metacell.us/> +44 (0)7450 948685 Boston, MA | Oxford, UK | Cagliari, ITA

April 19, 2024

[Arabs in Neuroscience] Introduction to Computational Neuroscience online summer school 2024

by Mohamed Abdelhack

Arabs in Neuroscience is pleased to announce the third iteration of the Introduction to computational neuroscience summer school in 2024. The school is dedicated to fill the interdisciplinary gap in many education systems by gathering students from biological and computational backgrounds and introducing topics essential for computational neuroscientists such as python programming, neurobiology, calculus, statistics and linear algebra. The school is also dedicated to cater to non-native English speakers in the Arabic-speaking countries which is why the language of instruction is in Arabic. The school is supported by the generous funding from Simons Foundation. Details: School dates: August 11-30 2024 Application deadline: May 7, 2024 We are currently opening the applications for students and teaching assistants. Please apply and also share it with your network. More information and application here: https://www.arabsinneuro.org/school/ Also, if you support our mission of democratizing science and education, please consider donating to Arabs in Neuroscience: https://www.arabsinneuro.org/donate/ Best regards,Mohamed Abdelhack

April 18, 2024

Call for Abstracts for the Bernstein Conference 2024

by Alexander Lammers

Call for Abstracts for the Bernstein Conference 2024 in Frankfurt am Main +++ The Bernstein Network Computational Neuroscience invites proposals for contributed talks and poster presentations of the Bernstein Conference 2024 in Frankfurt am Main. +++ ____ Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries. www.bernstein-conference.de<http://www.bernstein-conference.de> ____ IMPORTANT DATES * Bernstein Conference: September 29 – October 2, 2024 * Deadline for contributed talk abstract submission: June 5, 2024, 15:00 CEST * Deadline for travel grant applications: June 12, 2024, 15:00 CEST * Deadline for poster abstract submission: July 10, 2024, 15:00 CEST ____ ABSTRACTS We invite the computational neuroscience community to submit their abstracts: Submitted abstracts can either be considered as contributed talks or posters. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Further information can be found here: https://bernstein-network.de/bernstein-conference/abstract-submission/ ____ TRAVEL GRANTS To support the participation of young researchers at the Bernstein Conference, the Bernstein Network offers up to 10 Travel Grants, each endowed with 500 €. Further information can be found here: https://bernstein-network.de/bernstein-conference/early-career-scientists/t… ____ INVITED SPEAKERS Dmitriy Aronov (Columbia University, USA) Alison Barker (Max Planck Institute for Brain Research, Germany) Helen Barron (University of Oxford, UK) Elizabeth Buffalo (University of Washington, USA) Alex Cayco Gajic (Ecole Normale Supérieure, France) Jan Drugowitsch (Harvard University, USA) Jakob Macke (University of Tübingen, Germany) Tirin Moore (Stanford University, USA) Mala Murthy (Princeton University, USA) Memming Park (Champalimaud Foundation, Portugal) Xiao-Jing Wang (New York University, USA) ____ CONFERENCE COMMITTEE Matthias Kaschube (Conference Chair) Srdjan Ostojic (Program Chair) Tatiana Engel (Program Vice Chair) Maria Eckstein (Workshop Chair) Wiktor Młynarski (Workshop Vice Chair) & Athena Akrami, Mehrdad Jazayeri, Jennifer Li, Scott Linderman, Ashok Litwin-Kumar, Ida Momennejad, Christina Savin, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de<mailto:bernstein.conference@fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

April 18, 2024

Postdoc with human EMG experience

by Harel, Noam

We are looking for a new postdoc with some experience with human surface EMG, neuromodulation, and motor function. Our lab in New York City focuses on improving lives for people with spinal cord injury and amyotrophic lateral sclerosis. Please check our website: https://labs.icahn.mssm.edu/harellab/ Expected starting salary $75-80k. Also, please be on the lookout for potentials when you attend upcoming meetings, and feel free to forward this email to other labs/people. Thanks, Noam Harel Noam Y. Harel, MD, PhD Staff Physician James J. Peters VA Medical Center Associate Professor Departments of Neurology and Rehabilitation & Human Performance Icahn School of Medicine at Mount Sinai 718-584-9000 x1742 718-741-4675 (fax) Pronouns: he, him, his https://labs.icahn.mssm.edu/harellab/

April 17, 2024

FLUX workshop -- deadline extended

by Qiaoyu Chen

Toolkit in Using the FLUX Pipeline for MEG Research Join us for an immersive learning experience using the FLUX pipeline for MEG data analysis Toolkit at the Centre for Human Brain Health at the University of Birmingham from 11th -14th June 2024. The FLUX pipeline<https://www.neuosc.com/single-project>, is an approach for analysing Magnetoencephalography (MEG) data using state-of-of-the art approaches and standards. Whether you are a newcomer to research using MEG or a healthcare professional integrating MEG into clinical practice, this course is designed to elevate your skills and advance your research capabilities. · Gain practical skills: Learn to streamline data preprocessing, event-related field spectral analysis, source modelling, multi-variate pattern analysis and reporting using the FLUX pipeline. This pipeline is based on the widely used MNE-Python toolbox. · Enhance research practices: Learn the embraces practices for data curation (BIDS), reproducible research, open science, and standardized reporting empowering you to publish reliable and transparent findings. · Cognitive Neuroscience and Clinical research: Learn how the FLUX pipeline is used in our MEG research projects. · Engage in interactive learning: Connect with world-leading experts and fellow attendees in discussions, exercises, and networking opportunities, fostering valuable collaborations and knowledge exchange. Application (pre-registration) deadline: 20th April 2024, 11:59 pm (GMT) Join us at the Centre for Human Brain Health for the FLUX toolkit course<https://www.neuosc.com/flux-toolkit>! For pre-registration, please visit https://www.neuosc.com/pre-registration. Contact us at q.chen.5(a)bham.ac.uk<mailto:q.chen.5@bham.ac.uk> for further details. Best regards, the Organizing Committee

April 17, 2024

Postdoctoral and graduate student opportunities - Resilience and diversity of complex biological networks - Lefebvre lab at uOttawa

by J?r?mie Lefebvre

Postdoctoral and graduate student opportunities - Resilience and diversity of complex biological networks - University of Ottawa, Ottawa, Canada Application Deadline: May 1st 2024 The Lefebvre<https://www.uottawa.ca/faculty-science/professors/jeremie-lefebvre> and Kharouba<https://www.uottawa.ca/faculty-science/professors/heather-kharouba> labs are seeking candidates to fill ONE Postdoctoral and ONE PhD (Theoretical Biology, Physics) fully funded positions to explore how resilience and heterogeneity influences the dynamics of complex biological networks. These interdisciplinary projects will combine mathematical (e.g., dynamical systems, spectral theory), computational (e.g., data-informed simulations) approaches used in neuroscience and other complex systems fields to study how diversity contributes to the stability and resilience of brain function(s). The overall objective of the projects is to better understand the role played by heterogeneity in the genesis of critical events (e.g., seizures) and identify potential intervention strategies. The successful candidate will join the Lefebvre and Kharouba labs in the Departments of Biology and Physics at the University of Ottawa, as well as an extensive network of existing experimental and clinical collaborations with both internal and external groups. The research will be conducted in the uOttawa Bioscience Complex, a teaching and research hub hosting dozens of state-of-the-art experimental and computational interdisciplinary research facilities in downtown Ottawa, Canada. Successful candidates will be immersed in a highly interdisciplinary environment, with access to many additional training and networking activities, and be associated with Centre for Neural Dynamics, the Ottawa-Carleton Institute of Biology, the uOttawa Brain and Mind Institute as well as the Krembil Brain Institute. Details Postdoctoral position: as early as July 1st 2024 PhD position: September 1st 2024. Position Description: Trainees will be expected to work in-person for most of the position. Trainees will be expected to participate in the lab's scholarly activities (i.e., workshops, meetings), and to support other lab member's work whenever applicable. We expect from applicants to demonstrate the ability to work respectfully with others in teams to carry out project goals and contribute to an inclusive lab environment. Additional details of the projects will be provided during the interview process. Please don't hesitate to reach out at Jeremie.Lefebvre [at] uottawa.ca for any questions. Requirements The ideal candidates are expected to possess strong mathematical, computing, writing and presentation skills, and express a vivid interest in computational neuroscience, applied mathematics, computational biology and biophysics. Applicants must meet the required qualifications for admission to graduate/postgraduate studies at the University of Ottawa, and comply to international regulations regarding traveling, studying and working in Canada whenever applicable. Successful candidates must be eligible to work in Ontario as of July 1st 2024 (or at a mutually agreed date) Funding Postdoctoral position: This position is fully funded for 2 years (July. 2024 - June. 2026, or mutually agreed date) with a stipend of $48,000 CAD per year plus benefits. PhD position: This position is fully funded for 4 years (Sept. 2024 - Aug. 2028) with a stipend of $30,000 CAD per year, including teaching assistantship duties. The successful candidate will be eligible to apply for Teaching Assistant (TA) positions and/or other scholarships, such as entrance scholarships. Accommodations and Accessibility: Should you require a copy of this posting in an alternate format, please contact us as soon as possible and we would be happy to get one to you in a timely manner. We believe in the importance of supporting on the-job success for the incumbent and are pleased to discuss and/or provide specific tools, resources, or other requirements for day-to-day work requirements, as needed. How to Apply :Interested candidates are invited to submit their application by May 1st 2024 to Jeremie.Lefebvre[at]uottawa.ca, using the subject "Resilience position". In your dossier, please include: 1. A cover letter stating your interest and explaining why you are a good candidate for this position, and specify clearly which position (Postdoc, PhD) you are applying for 2. up to date CV including a list of publication, if applicable 3. Contact information for 2 references Applications will be reviewed until the position is filled. Only candidates selected for an interview will be contacted. Jeremie Lefebvre

April 16, 2024

NEST Conference 2024 - Extension of abstract submission deadline

by Hans Ekkehard Plesser

Dear all, The abstract submission deadline for the NEST Conference 2024 has been extended to 30 April. We are looking forward to your contributions! The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. This year's conference will again take place as a virtual conference on Monday/Tuesday 17/18 June 2024. We are inviting contributions to the conference, including talks, "posters" and workshops on specific topics. For more information on how to submit your contribution, register and participate, please visit the conference website https://nest-simulator.org/conference Important dates 26 April 2024 - Deadline for NEST Initiative membership applications eligible for fee reduction 30 April 2024 - Extended deadline for submission of contributions 08 May 2024 - Notification of acceptance 07 June 2024 - Registration deadline 17 June 2024 - NEST Conference 2024 starts We are looking forward to seeing you all in June! Hans Ekkehard Plesser and the conference organizing committee -- Prof. Dr. Hans Ekkehard Plesser Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

April 16, 2024

Phd and Postdoc positions on computational neuroscience in Peking University

by Guozhang Chen

In school of computer science, Peking University, we are inviting applications for a few PhD and PostDoc positions focusing on the exciting intersection of neuroscience and artificial intelligence. The selected candidate will collaborate with our team to reverse-engineer the brain (cortical and subcortical structures) in multi-scale, data-based models, exploring its working mechanisms, dynamics, and learning capabilities with respect to generalization. Please refer ifgovh.github.io for more details. This research will build upon foundational work such as: - Chen, Guozhang, Franz Scherr, and Wolfgang Maass. "[Data-based large-scale models provide a window into the organization of cortical computations](https://www.biorxiv.org/content/10.1101/2023.04.28.538662v3.a…." bioRxiv (2023): 2023-04. - Chen, Guozhang, Franz Scherr, and Wolfgang Maass. "[A data-based large-scale model for primary visual cortex enables brain-like robust and versatile visual processing](https://www.science.org/doi/full/10.1126/sciadv.abq7592)." Science Advances 8.44 (2022): eabq7592. - Chen, Guozhang, and Pulin Gong. "[A spatiotemporal mechanism of visual attention: Superdiffusive motion and theta oscillations of neural population activity patterns.](https://www.science.org/doi/full/10.1126/sciadv.abl4995)" Science Advances 8.16 (2022): eabl4995. - Chen, Guozhang, and Pulin Gong. "[Computing by modulating spontaneous cortical activity patterns as a mechanism of active visual processing.](https://www.nature.com/articles/s41467-019-12918-8)" Nature communications 10.1 (2019): 4915. In addition, depending on the interest, candidates will engage in the development of brain-inspired architectures and algorithms for AI, as well as for highly energy-efficient neuromorphic hardware. ## Qualifications - A strong motivation for understanding "how the brain works". - A strong background in computer science, computational neuroscience, physics, robotics, or related fields. - Proficient skills in mathematics/theory and programming. - An excellent academic record, demonstrated research potential. - Intermediate to advanced English reading, communicating and writing skills. ## How to Apply Interested candidates should submit the following: - A detailed CV. - A brief personal statement (explaining your movtivation and plan). - Academic transcripts. - Names of referees. - Links to thesis, publications, and any other relevant documents. Please send your application with a tile "phd position application" or "postdoc position application" to: guozhang.chen [at] pku.edu.cn -- Regards, Guozhang

April 16, 2024

Postdoc/Junior researcher positions in Computational Neuroscience within the BRADY project

by Jaroslav Hlinka

*Postdoc/Junior researcher positions in Computational Neuroscience within the BRADY project* Several postdoctoral positions are available in the *Complex Networks and Brain Dynamics group (COBRA) at the Institute of Computer Science, Prague (Czech Republic)*. These positions are part of a larger, interdisciplinary consortium that was recently recommended for funding (OPJAK BRADY). The project topics include: *Topic 1*: Detailed biophysical modelling of neurotransmitter action (supervised by Pavel Sanda). *Topic 2*: Computationally efficient mean-field models of cortical microcircuits (supervised by Helmut Schmidt). *Topic 3*: Whole-brain dynamics with applications particularly to schizophrenia and Parkinson's disease (supervised by Gustavo Deco). *Topic 4*: Data-driven model inversion and personalized parameter identification (supervised by Nikola Jajcay). *Topic 5*: Modelling interventions into arousal dynamics (supervised by Jaroslav Hlinka). Other related topics may be considered based on their fit to the overall project. Further information can be found here: https://cobra.cs.cas.cz/brady. 1. Conditions * Positions are available immediately. * Contract is for 12-36 months duration. * Possibility of extension until end of project (30.6.2028), support for transition to tenure-track or external funding applications. * Applications will be reviewed on a rolling basis, until the positions are filled. * This is a full-time fixed term contract appointment. Part time contract negotiable. * Competitive monthly gross salary: 50 000 - 66 000 CZK based on qualifications and experience (net salary approx. 40 000 - 52 000 CZK). _Cost Of Living Comparison <http://www.numbeo.com/cost-of-living/comparison.jsp>_ * Bonuses and travel funding for conferences and research stays depending on performance. * No teaching duties. * Applicants should: 1. Hold a PhD; up to 7 years from PhD defense at the start of employment. 2. Have a strong background in the fields related to computational neuroscience - mathematical, statistical skills, experience with data analysis, machine learning, computer programming (the exact combination depends on the particular topic, see above). 3. Be fluent in English. * *We seek curious, self-motivated, hard-working, team-spirited researchers.* * *Prior experience with time series and network analysis is advantageous, but not required. * * The applications are to be sent to bradyadmin(a)cs.cas.cz <mailto:bradyadmin@cs.cas.cz>and should contain: 1. Curriculum Vitae. 2. Two letters of recommendation. The referees should send their recommendations directly to bradyadmin(a)cs.cas.cz. 3. A proof of the obtained degree. 4. Mention the *Ref. No. 2024/4*. *Do not hesitate to contact the project Scientific Coordinator for informal inquiries: Ing. Mgr. Jaroslav Hlinka, Ph.D. hlinka[at]cs.cas.cz, http://www.cs.cas.cz/hlinka/. * -- Jaroslav Hlinka Head of the Department of Complex Systems Institute of Computer Science Czech Academy of Sciences Pod Vodarenskou vezi 2 Prague 8, 182 00, Czech Republic Tel: (+420) 26605 3808 E-mail: hlinka(a)cs.cas.cz Web: http://www.cs.cas.cz/hlinka/ Complex Networks and Brain Dynamics Group (COBRA): http://cobra.cs.cas.cz

April 15, 2024

ERRATUM: EITN Fall School in Computational Neuroscience 2024: Applications are now open!

by DEPANNEMAECKER Damien

Erratum: Due to technical issue the email address previously announced is not working, please send your application at: eitnfs2024(a)protonmail.ch EITN Fall School in Computational Neuroscience 2024 <https://eitnschool2022.sciencesconf.org/> Marseille, 16-25 October 2024 The EITN Fall School in Computational Neuroscience consists of a 10-day course in theoretical and computational neuroscience, from cellular to whole-brain levels. The course is structured in thematic days with lectures, tutorials, and project work. The course is typically aimed at PhD students, young postdocs, or master students interested to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building. The students will form thematic groups to work on predefined subjects, with the help of tutors. The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, and whole-brain models. There will be lectures and tutorials associated with these topics. Why join? 10 days of intensive training in computational neuroscience provided by researchers from all over Europe. A complete program: • Cellular models, and models of brain signals • Circuit models and networks • Mean-field models • Whole-brain models Hands-on learning schedule based on: • Morning classes and tutorials • Group projects in the afternoon • Free time in the evenings and on Sunday to visit Marseille How to apply? This training has a limited capacity of 28 students, therefore a selection will be performed by a scientific organizing committee. Applications are open until 09 June 2024. Application: a one-page CV, a motivation letter to explain why you would like to attend this course, and a recommendation letter. The file names must start with your name (e.g., NAME_CV.pdf, etc....). Send your application by email at eitnfs2024(a)protonmail.ch You will receive a confirmation your application has been received within 5 working days (or on the day the application period closes (whichever comes the soonest). If not, please consider a technical issue and submit your application again. Contact <mailto:eitnfs2024@groups.emdesk.com> eitnfs2024(a)protonmail.ch for any questions or assistance. This training is designed to be attended in person in Marseille. It will not be recorded nor accessible remotely. Organizers: Damien Depannemaecker (AMU), Alain Destexhe (CNRS), Viktor Jirsa (AMU) Preliminary list of Speakers: Viktor Jirsa (AMU, Marseille France)` Alain Destexhe (NeuroPSI, Paris, France) Egidio D’Angelo (University of Pavia, Italie) Michele Migliore (National Research Council, Palerme, Italie) Andrea Brovelli (AMU, Marseille France) Matthieu Gilson (AMU, Marseille France) Marja-Leena Linne (Tempere University, Finlande) Spase Petkoski (AMU, Marseille France) Damien Depannemaecker (AMU, Marseille France) Huifang Wang (AMU, Marseille France) .... ________________________________

April 15, 2024

Share Your Expertise: Submit Your Work at COMPLEX NETWORKS 2024 in Istanbul

by Hocine Cherifi

13 *th **International Conference on Complex Networks & Their Applications* Istanbul, Turkey December 10 - 12, 2024 COMPLEX NETWORKS 2024 <https://complexnetworks.org/> You are cordially invited to submit your contribution until *September 03, 2024*. *SPEAKERS* · Federico Battiston <https://people.ceu.edu/federico_battiston> Central European University, Austria · Tina Eliassi-Rad <https://www.khoury.northeastern.edu/people/tina-eliassi-rad/> Northeastern University, USA · Frank Emmert-Streib <https://www.tuni.fi/en/frank-emmert-streib> Tampere University, Finland · Filippo Menczer <https://cnets.indiana.edu/fil/> Indiana University, USA · Luciano Pietronero <http://www.lucianopietronero.it/> University of Rome, Italy *TUTORIALS (December 09, 2024)* · Alessandro Galeazzi <https://scholar.google.com/citations?user=DK0tXAIAAAAJ&hl=en> University of Padova, Italy · Clara Stegehuis <https://www.clarastegehuis.nl/> Twente University, The Netherlands *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. · *Papers *will be included in the conference *proceedings edited by Springer* · *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions will be invited for publication in *special issues of international journals:* o PLOS Complex Systems <https://journals.plos.org/complexsystems/> edited by PLOS <https://plos.org/>. o PLOS <https://journals.plos.org/plosone/> One <https://journals.plos.org/plosone/> edited by PLOS <https://plos.org/> o Applied Network Science <https://appliednetsci.springeropen.com/> edited by Springer Nature <https://www.springernature.com/gp> o Social Network Analysis and Mining <https://link.springer.com/journal/13278> edited by Springer Nature <https://www.springernature.com/gp> o Entropy <https://www.mdpi.com/journal/entropy> edited by MDPI <https://www.mdpi.com/> o Advances in Complex Systems <https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific o Complex Systems Journal <https://www.complex-systems.com/> *SUBMISSION:* *https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/* <https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/> *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Murat Donduran (Yildiz Technical University, Turkey) Luis M. Rocha (Binghamton University, USA) *PROGRAM CHAIRS* Chantal Cherifi (University of Lyon, France) Onur Varol (Sabanci University, Turkey) 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/>

April 15, 2024

LOD 2024 1st Call for papers: 10th International Conference on Learning, Optimization and Data - LOD 2024, 22-25 September, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy -> Submission Deadline: April 23

by Giuseppe Nicosia

Dear Colleague, Apologies if you receive multiple copies of this announcement. Please kindly help forward it to potentially interested authors/attendees, thanks. -- The 10th International Conference on Learning, Optimization and Data - LOD 2024, 22-25 September, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy LOD 2024, An Interdisciplinary Conference: Deep Learning, Foundation Models & Artificial Intelligence without Borders https://lod2024.icas.events/ lod(a)icas.cc SATELLITE EVENTS: 2nd International Meeting on Foundation Models - IMFM2024 https://lod2024.icas.events/imfm2024/ 1st Workshop AI in Life Sciences - WAILS2024 https://lod2024.icas.events/wails2024/ 24 TRACKS: https://lod2024.icas.events/tracks/ PAPERS SUBMISSION: All papers must be submitted using EasyChair: https://easychair.org/conferences/?conf=lod2024 *Paper Submission deadline: April 23 (Anywhere on Earth)* CALL FOR PAPERS: https://lod2024.icas.events/call-for-papers/ Please prepare your paper using the Springer Nature - Lecture Notes in Computer Science (LNCS) template. Papers must be submitted in PDF. TYPES OF SUBMISSIONS: When submitting a paper to LOD 2024, authors are required to select one of the following three types of papers: * long paper / Late breaking paper: original novel and unpublished work (min. 12 pages, max. 15 pages in Springer LNCS format); the long papers and the late breaking papers, if accepted, will be published in the Springer-Nature LNCS conference proceedings; * short paper: an extended abstract of novel work (min. 6 pages, max. 11 pages in Springer LNCS format); the short papers, if accepted, will be published in the Springer-Nature LNCS conference proceedings; * work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant, and which may solicit fruitful discussion at the conference; LOD 2024 KEYNOTE SPEAKERS: Vivek Natarajan, Google Health AI, San Francisco Bay Area, CA, USA "How LLMs might accelerate biomedical discovery and help scale world class healthcare to everyone" Johannes Schmidt-Hieber, University of Twente, The Netherlands "Towards a statistical foundation for machine learning methods" Michal Valko, Google DeepMind Paris, INRIA & École Normale Supérieure Paris-Saclay, France "Fine Tuning Large Language Models & Gemini" https://lod2024.icas.events/keynote/ PAST LOD KEYNOTE SPEAKERS: https://lod2023.icas.cc/past-keynote-speakers/ BEST PAPER AWARD: Springer sponsors the LOD 2024 Best Paper Award with a cash prize of 1,000 Euro. https://lod2024.icas.events/best-paper-award/ PROGRAM COMMITTEE: 150+ confirmed PC members! https://lod2024.icas.events/program-committee/ VENUE: https://lod2024.icas.events/venue/ The venue of LOD 2024 will be Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany - Italy. LOD 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://lod2024.icas.events/activities/ Submit your research work today! https://easychair.org/conferences/?conf=lod2024 See you in the beautiful Tuscany in September! Best regards, LOD 2024 Organizing Committee. Past Editions: https://lod2024.icas.events/past-editions/ https://www.facebook.com/groups/2236577489686309/ https://twitter.com/TaoSciences https://www.linkedin.com/groups/12092025/ https://lod2024.icas.events/ lod(a)icas.cc LOD2024 Poster: https://lod2024.icas.events/wp-content/uploads/sites/27/2023/11/LOD-2024-po… * Apologies for multiple copies. Please forward to anybody who might be interested * --

April 15, 2024

World wide VVTNS series: Wednesday, April 17 at 11am (EDT), Tim O'Leary University of Cambridge|Flip flops and toggles for effective decision making in neural circuits

by David Hansel

[image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Tim O'Leary University of Cambridge on the topic of "Flip flops and toggles for effective decision making in neural circuits*"* The lecture will be held on zoom on *April 17, 2024*, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *Neural computation is inextricably bound to decisions that must be made under time pressure and uncertainty. At the level of neural circuits, single neurons need to decide whether to spike. On longer timescales, the component circuitry needs to decide whether to reconfigure to store memories and adapt to novel situations. In this talk I will focus on two fun ideas in each of these contexts by showing how nonlinearities in neural components naturally form excitable switches that enable reliable decisions to be made in fluctuating environments. I will also issue propaganda that the kind of high level, cognitive faculties that we normally associate with decision making apply equally well and are understudied at the level of neural and synaptic populations. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ -- 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Pères 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - ᐧ

April 14, 2024

PhD Opportunity in AI and Neuroscience, Bordeaux, Deadline: April 23rd

by Xavier Hinaut

We are offering a PhD topic that bridges large language models with neuroscience. **Deadline for application: no later than April 23rd** Location: Bordeaux NeuroCampus (France) Laboratories: Inria & Neurological Diseases Insitute This project aims to explore the adaptation of large language models (LLMs), such as ChatGPT, to study their potential in understanding human language and identifying associated pathologies. By focusing on advanced neurocomputational models and the use of functional MRI, this work aims to decipher linguistic representations and their individual variations, particularly in pathological contexts such as dyslexia. We are seeking a candidate with an interdisciplinary research mindset, combining a strong interest in cognitive neuroscience with a solid proficiency in machine learning. The candidate should have a good command of Python scientific libraries (numpy/scipy) and be comfortable with mathematical/statistical concepts, in addition to proficiency in technical English. The project will take place in a dynamic and collaborative research environment linked to the Inria Exploratory Action project "BrainGPT", with access to imaging methods such as MRI and intensive computing clusters. The expected results have the potential to transform our understanding of the neural bases of language and open new avenues for personalized education and language pathology treatment. Applications must be submitted as soon as possible and no later than *April 23rd*, with the thesis expected to begin on October 1st, 2024. To apply, please send your CV, a cover letter, your academic transcripts since high school, and letters of recommendation to these two email addresses: gael.jobard(a)u-bordeaux.fr & xavier.hinaut(a)inria.fr For more information (please disregard the deadline mentioned in the link): https://adum.fr/as/ed/voirproposition.pl?matricule_prop=55386 or informally via email: gael.jobard(a)u-bordeaux.fr & xavier.hinaut(a)inria.fr Best regards, Xavier Hinaut Inria Research Scientist — www.xavierhinaut.com -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en — Our Reservoir Computing library: https://github.com/reservoirpy/reservoirpy

April 11, 2024

Postdoc position available at UChicago

by Jorge Jaramillo

Dear Comp-Neuro community, https://neuroscience.uchicago.edu/postdoctoral-fellow-computational-neurosc… We are looking for an outstanding applicant to develop large-scale circuit models for decision making within a collaborative consortium that includes the Allen Institute for Neural Dynamics, New York University, and the University of Chicago. This ambitious NIH-funded project requires the creativity and expertise to integrate multimodal data sets (e.g., connectivity, large-scale neural recordings, behavior) into a comprehensive modeling framework. The successful applicant will join Jorge Jaramillo’s Distributed Neural Dynamics and Control Lab at the Grossman Center at the University of Chicago. The Grossman Center Core Faculty | Neuroscience Institute<https://neuroscience.uchicago.edu/grossman-center-core-faculty> Throughout the course of the postdoctoral training, there will be opportunities to visit the other sites in Seattle (Karel Svoboda) and New York (Adam Carter, Xiao-Jing Wang) for additional training and collaboration opportunities. Appointees will join as Grossman Center Postdoctoral Fellows at the University of Chicago and will have access to state-of-the-art facilities and additional opportunities for collaboration with exceptional experimental labs within the Department of Neurobiology, as well as other labs from the departments of Physics, Computer Sciences, and Statistics. The Grossman Center offers competitive postdoctoral salaries in the vibrant and international city of Chicago, and a rich intellectual environment that includes the Argonne National Laboratory and the Data Science Institute. Postdoctoral fellows will also have the possibility to work in additional projects with other Grossman Center faculty members. Application: Please send your application before May 1st 2024 as a single PDF file including: i) a CV with publications highlighted; ii) a motivation letter specifying how you can contribute to large-scale circuit modeling and data analysis based on current and previous work; iii) the contact details of two academic references to jorgejaramillo(a)uchicago.edu<mailto:jorgejaramillo@uchicago.edu>. A doctoral degree and sufficient computational background is required; informal enquiries are welcome. Starting date: The position is available immediately, starting date can be defined via mutual agreement. The University of Chicago is committed to sustaining a diverse, equitable and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, marital status, pregnancy, genetic information, gender identity or expression, age, disability, or protected veteran status. Underrepresented minorities are strongly encouraged to apply.

April 11, 2024

Sleep spindles in hippocampal axons

by Gregory J Brewer

We are pleased to announce our latest publication out today in Scientific Reports, Spindle oscillations in communicating axons within a reconstituted hippocampal formation are strongest in CA3 without thalamus. (open access) https://link.springer.com/article/10.1038/s41598-024-58002-0?utm_source=rct… Grace to you, Greg Gregory J. Brewer, Ph.D., Professor University of California Irvine, Dept Biomedical Engineering 92697-2715 Institute for Memory Impairment and Neurological Disorders (MIND) Center for Neurobiology of Learning and Memory (CNLM) AGE Fellow of the American Aging Association Nat. Sci, 2, Office Rm 3101, Lab 3432 GJBrewer(a)uci.edu<mailto:GJBrewer@uci.edu>, 217-502-4511 http://brewer.eng.uci.edu/

April 10, 2024

New on the van Vreeswijk Theoretical Neuroscience Seminar (VVNTS) website and YouTube channel

by David Hansel

[image: VVTNS.png] > > <https://streaklinks.com/B7FpUrTOTmFafqa5pAf069mO/https%3A%2F%2Fwww.wwtns.on…> > https://www.wwtns.online > <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> > - on twitter: wwtns@TheoreticalWide > New on the VVTNS website and YouTube channel Biologically motivated learning dynamics: parallel architectures and nonlinear Hebbian plasticity talk given on April 10, 2024 by Michael Buice Allen Institute https://www.wwtns.online/past-seminars-2023-2024 ------------------------------------ *VVTNS: VVTNS is a weekly digital seminar on Zoom targeting the theoretical neuroscience community. Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ

April 10, 2024

New virtual colloquium series: Brains in Space

by Vinita Samarasinghe

On behalf of Sen Cheng, Sandhiya Vijayabaskaran and Laurenz Wiskott from the Institute of Neural Computation, Faculty for Computer Science, Ruhr University Bochum, I invite you to attend a new colloquium series "*Brains in Space: An Interdisciplinary Research Colloquium on Spatial Navigation*". In this colloquium, speakers will present their research in various areas of spatial navigation, including behavioral, neuroscientific, and theoretical approaches. The goal is to foster interdisciplinary discussions along the lines of the review article "A Map of Spatial Navigation for Neuroscience" (Parra-Barrero et al., 2023) that proposes a taxonomy of spatial navigation processes in mammals. The talks will cover a diverse range of topics, from the neural underpinnings of navigation to complex navigation behaviors. Attendees will gain a better understanding of how the mammalian brain represents and navigates through space, as well as learn about several cognitive processes such as learning and memory through the lens of spatial navigation. The colloquium takes place virtually on Tuesday's from 16:00 to 17:30 (CEST) and the complete schedule can be found at https://www.ini.rub.de/teaching/courses/colloquium_brains_in_space_an_inter… . The first talk is on April 16th 2024. *Confirmed speakers:* Elizabeth Chrastil, Marko Nardini, Laure Rondi-Reig, Denis Sheynikhovich, Aaron Wilber, Sandhiya Vijayabaskaran, Francesca Sargolini and Eloy Parra Barrero. This colloquium is open to the public. Please feel free to forward this information to any of your colleagues who may be interested. *Zoom link*: https://ruhr-uni-bochum.zoom.us/j/68766911124?pwd=MFErK284UmN5V25wZzd5L1FCa… We look forward to seeing you. Kind regards, -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email:samarasinghe@ini.rub.de

April 10, 2024

EITN Fall School in Computational Neuroscience 2024: Applications are now open!

by DEPANNEMAECKER Damien

EITN Fall School in Computational Neuroscience 2024 <https://eitnschool2022.sciencesconf.org/> Marseille, 16-25 October 2024 The EITN Fall School in Computational Neuroscience consists of a 10-day course in theoretical and computational neuroscience, from cellular to whole-brain levels. The course is structured in thematic days with lectures, tutorials, and project work. The course is typically aimed at PhD students, young postdocs, or master students interested to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building. The students will form thematic groups to work on predefined subjects, with the help of tutors. The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, and whole-brain models. There will be lectures and tutorials associated with these topics. Why join? 10 days of intensive training in computational neuroscience provided by researchers from all over Europe. A complete program: • Cellular models, and models of brain signals • Circuit models and networks • Mean-field models • Whole-brain models Hands-on learning schedule based on: • Morning classes and tutorials • Group projects in the afternoon • Free time in the evenings and on Sunday to visit Marseille How to apply? This training has a limited capacity of 28 students, therefore a selection will be performed by a scientific organizing committee. Applications are open until 09 June 2024. Application: a one-page CV, a motivation letter to explain why you would like to attend this course, and a recommendation letter. The file names must start with your name (e.g., NAME_CV.pdf, etc....). Send your application by email at eitnfs2024(a)groups.emdesk.com<mailto:eitnfs2024@groups.emdesk.com> You will receive a confirmation your application has been received within 5 working days (or on the day the application period closes (whichever comes the soonest). If not, please consider a technical issue and submit your application again. Contact eitnfs2024(a)groups.emdesk.com<mailto:eitnfs2024@groups.emdesk.com> for any questions or assistance. This training is designed to be attended in person in Marseille. It will not be recorded nor accessible remotely. Organizers: Damien Depannemaecker (AMU), Alain Destexhe (CNRS), Viktor Jirsa (AMU) Preliminary list of Faculty and Speakers: Viktor Jirsa (AMU, Marseille France)` Alain Destexhe (NeuroPSI, Paris, France)) Sacha Van Alba (Research Centre Jülich and University of Cologne, Allemagne) Egidio D’Angelo (University of Pavia, Italie) Michaele Migliore (National Research Council, Palerme, Italie) Andrea Brovelli (AMU, Marseille France) Matthieu Gilson(AMU, Marseille France) Marja-Leena Linne (Tempere University, Finlande) Spase Petkoski (AMU, Marseille France) Damien Depannemaecker(AMU, Marseille France) HuifangWang (AMU, Marseille France) ...

April 10, 2024

[CFP] Modern Machine Learning Methods for robust and real-time Brain-Computer Interfaces (BCI) - ESANN 2024 - Deadline 02 May

by Jaime Andres Riascos Salas

CALL FOR PAPERS CFP – SPECIAL SESSION MODERN MACHINE LEARNING METHODS FOR ROBUST AND REAL-TIME BRAIN-COMPUTER INTERFACES (BCI) Paper Submission Deadline: 2 MAY 2024 EUROPEAN SYMPOSIUM ON ARTIFICIAL NEURAL NETWORKS, COMPUTATIONAL INTELLIGENCE AND MACHINE LEARNING (ESANN 2024) OCTOBER 9-11, 2024 Bruges, Belgium. Online and on-site http://www.esann.org [1] Contact Special Session: jariascos(a)correo.iue.edu.co THE EUROPEAN SYMPOSIUM ON ARTIFICIAL NEURAL NETWORKS, COMPUTATIONAL INTELLIGENCE AND MACHINE LEARNING (ESANN) is a leading annual conference dedicated to cutting-edge research and applications within these fields. Since 1993, ESANN has provided a vital platform for researchers from academia, industry, and government to share their latest findings, foster interdisciplinary collaborations, and network with others in the field. The conference covers core topics like artificial neural networks, computational intelligence, and machine learning, and explores wide-ranging applications in areas such as bioinformatics, engineering, and finance. The 32nd edition of ESANN (ESANN 2024) will take place in Bruges, Belgium in hybrid mode (both in-person and online participation), from Wednesday 9 to Friday 11 October 2024. Bruges (also called the "Venice of the North") is one of the most beautiful medieval towns in Europe. Bruges is situated about 100 km. from Brussels and can very easily be reached by train from Brussels' main stations. Bruges is unique in Europe: a living city of human proportions where you can wander to your heart's content in virtually unspoiled surroundings. Inside ESANN 2024, the special session "MODERN MACHINE LEARNING METHODS FOR ROBUST AND REAL-TIME BRAIN-COMPUTER INTERFACES (BCI)” aims to spotlight and consolidate the latest advancements, innovations, challenges, and prospects in modern machine learning algorithms for BCI, which are both accurate and fast enough for real-time use, and ideally assessed for real-time use. BCIs are communication and control systems that enable users to interact with computers using brain activity only. They are very promising for various applications, such as assistive technologies, rehabilitation, or mental state monitoring, but suffer from a lack of robustness. Their robustness mostly relies on advances in machine learning and signal processing. Simple models offer a quick response to real-time constraints but often without high accuracies. In contrast, artificial neural networks and more elaborate models compromise speedy responses for reaching sometimes higher accuracies. Thus, ideally, there is a need for a trade-off in complexity in signal processing and machine learning stages to obtain the best combination, i.e., both high accuracy and speed. Therefore, we aim to foster interdisciplinary collaborations and pave the way for future breakthroughs in this field. We invite authors to submit original research articles, reviews, and case studies on the following topics: 1. Signal Processing and Feature Extraction: I. Novel methods for preprocessing EEG signals II. Feature extraction techniques for real-time BCI applications 2. Classification Algorithms: I. Advanced machine learning algorithms for BCI signal classification II. Deep learning approaches in BCI research 3. Real-time BCI Systems: I. Development of real-time BCI systems II. Applications and challenges in deploying BCI systems in real-time. Prospective authors are invited to contribute to the conference by electronically submitting papers through the ESANN portal following the instructions provided at https://www.esann.org/node/6 [2] and choosing our session's title as Target Session on the paper submission form. Papers must not exceed 6 pages, including figures and references. All papers will be submitted to a single-blind peer-review process. LaTeX and Word-style files are available. They must be used for generating the PDF file (see author guidelines at https://www.esann.org/author_guidelines [3]). Accepted papers will be presented as either talks or posters (in-person or online), to favor interaction with the ESANN attendees. There is no difference in quality between talks and posters; all papers will be published in the conference proceedings. At least one author must register for the conference and pay the registration fee. We ask prospective authors to send us an e-mail with the tentative title of their contribution to the special session as soon as possible. IMPORTANT DATES: Paper submission deadline: 2 MAY 2024 Notification of acceptance: 16 JUNE 2024 The ESANN 2023 conference: 9-11 OCTOBER 2024 SPECIAL SESSION ORGANISERS: Fabien Lotte (Inria, France) Marta Molinas (NTNU, Norway) Jaime A Riascos (Potsdam University - Institution University of Envigado, Germany - Colombia) Bests regards! Links: ------ [1] http://www.esann.org/ [2] https://www.esann.org/node/6 [3] https://www.esann.org/author_guidelines

April 10, 2024

Survey regarding large-scale neuroimaging datasets

by Eline Kupers

Dear all, In recent years, we have seen an increase in the usage, acquisition, and open sharing of rich, large-scale neuroimaging datasets. This is an exciting development in human neuroscience and suggests that we are entering a new era of big open data. To understand users' experiences with current large-scale datasets as well as needs for future datasets, we invite you to this anonymous survey. The survey is anonymous to ensure that we get honest opinions. We welcome participation from all researchers regardless of their experience and/or background. You can find the survey here: https://umn.qualtrics.com/jfe/form/SV_6fAxIDk3pYdwC6W This survey will take approximately 10-15 minutes to complete and closes on *May 15, 2024*. Eline Kupers & Kendrick Kay

April 9, 2024