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GEM2025 - Conference on generative episodic memory - call for abstracts
by Vinita Samarasinghe Nov. 27, 2024

Nov. 27, 2024

The DFG-funded research consortium “FOR 2812 – Constructing scenarios of the past” is proud to announce a *call for abstracts* for its biennial conference “/Generative Episodic Memory: Interdisciplinary perspectives from neuroscience, psychology and philosophy/” *GEM 202**5.* It will be held *in person* at the Ruhr University Bochum, Germany from 2^nd to 4^th June, 2025. For more information please visit https://for2812.rub.de/gem2025. Episodic memories are widely regarded as memories of personally experienced events. Early concepts about episodic memory were based on the storage model, according to which experiential content is preserved in memory and later retrieved. However, overwhelming empirical evidence suggests that the content of episodic memory is – at least to a certain degree – constructed in the act of remembering. Even though very few contemporary researchers would oppose this view of episodic memory as a generative process, it has not become the standard paradigm of empirical memory research. This is particularly true for studies of the neural correlates of episodic memory. Further hindering progress are large conceptual differences regarding episodic memory across different fields, such as neuroscience, philosophy, and psychology. This interdisciplinary conference therefore aims to bring together researchers from all relevant fields to advance the state of the art in the research on generative episodic memory. *Keynote speakers: * Ali Boyle (LSE); Neil Burgess (UCL); Iris Engelhard (U. Utrecht); Johannes Mahr (York U.); Jeremy Manning (Dartmouth) *Funding for early career researchers is available *(visit our ECR page <https://for2812.rub.de/gem2025/early_career_researcher_programs> for more details). *Abstract* submission deadline: 15.03.2025 Submission guidelines: Abstracts must be submitted in English and be no longer than 500 words. Submitted work must be original and unpublished and submitted electronically at https://www.conftool.net/gem202 <https://www.conftool.net/gem2023/>5/ <https://www.conftool.net/gem2023/>. Types of submissions: * Talk * Symposium: Must comprise 3 talks and be interdisciplinary in nature, i.e., talks must cover at least two of the following disciplines: computational neuroscience, philosophy, psychology, neuroscience. * Poster /*For more information please visit https://for2812.rub.de or contact Vinita Samarasinghe at for2812(a)rub.de*/ Kind regards, Vinita -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27996 Email:samarasinghe@ini.rub.de

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Looking for a lead designer at Thinking About Thinking (educational neuroAI non-profit that organizes conferences)
by Ruairidh Battleday Nov. 26, 2024

Nov. 26, 2024

Dear Mind, Brain, and AI researchers, We very much enjoyed meeting many of you at Thinking About Thinking <http://www.thinkingaboutthinking.org/> events this past year, with some still to come in Boston <http://www.algopreneurship.ai/>! We are an educational non-profit that holds open-access research conferences and Summits on foundational computational questions in cognitive science, neuroscience, and machine learning / AI. At Thinking About Thinking we are scaling up, aiming to run more, larger open-access events and beginning to produce extra content---podcasts, blogs, interviews, etc. As part of that process, we are looking for a lead designer (who would be paid on a per-hour basis, but be a full part of the ThAT team). It is very important to us to have someone that understands cognitive science, neuroscience, and AI to do the design work, as we are very keen on keeping these sets of concepts at our core. If you think you are that person, want to join an extremely fun team working at the cutting-edge of science and society, or know anyone that might, please do reach out! Many thanks for the attention, and all the best! Ruairidh and the Team -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking (www.thinkingaboutthinking.org) Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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CFP - 2025 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO 2025)
by nagai.yukie＠mail.u-tokyo.ac.jp Nov. 26, 2024

Nov. 26, 2024

Dear colleagues, 2025 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO 2025) July 17th-19th, 2025, Osaka, Japan https://ieee-arso.org Advanced robots are expected to enter in promising applications in our future society and bring substantial impacts. The increasing implementation of AI-based components even broaden their fields of application. To ensure that these impacts are positively reflected, today, we need to extend views not only on technical aspects but also on social challenges that we might face, including safety, regulation, ethics, human factors, and philosophy. The topics of ARSO 2025 include, but are not limited to the following: • Human-robot interaction in physical & psychological aspects • Safety standards for advanced robots & autonomous systems • Legal and ethical issues for advanced robots • Impact of robotics on society, e.g. robot business, marketing & economic impact • Robotics for sustainability, climate change or civil aid • Advanced industrial robots for future manufacturing • Healthcare & medical applications • Rehabilitation and transfer robotics • Service & assistance applications • Entertainment & education robotics • Robotics & autonomous driving • Bio-inspired robotics • Soft and wearable robotics Important Dates: Submission of Organized Session Proposal: Jan. 15, 2025 Initial Paper Submission: Feb. 28, 2025 Workshop Proposal Submission: Feb. 28, 2025 Notification of Paper Acceptance: Apr. 28, 2025 Final Paper Submission: May 30, 2025 General Chairs: Minoru Asada, Japan Silvia Rossi, Italy Program Chairs: Kensuke Harada, Japan Emel Demircan, USA Astrid Weiss, Austria Best regards, Yuji Kawai and Yukie Nagai, Publicity Chairs of ARSO2025 — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Feelings: https://cognitive-feeling.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org

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PhD Opportunity: Machine Learning Methods for Invariant Representations
by Georgios Exarchakis Nov. 25, 2024

Nov. 25, 2024

Dear all, The *University of Bath* invites applications for a fully-funded PhD position in *Machine Learning*, as part of the prestigious *URSA competition*. This project focuses on developing *interpretable machine learning methods* for high-dimensional data, with an emphasis on recognizing symmetries and incorporating them into efficient, flexible algorithms. *Key Details* * *Supervisory Team*: Dr. Georgios Exarchakis & Prof. Michael Tipping * *Research Focus*: Interpretable and deep learning methods, feature learning, and invariant representations * *Applications*: Astronomy, quantum chemistry, medical imaging, computer vision, and more This PhD position offers the opportunity to work within a leading research environment, using state-of-the-art tools such as TensorFlow, PyTorch, and Scikit-Learn. The research outcomes have potential applications in diverse fields, and students are encouraged to bring creative and interdisciplinary approaches to problem-solving. *Eligibility* Applicants should have a strong academic background in Mathematics, Physics, Computer Science, or related fields (First Class or Upper Second Honours or equivalent). A master’s degree is advantageous. Non-UK applicants must meet the English language requirements. *Funding* The studentship covers tuition fees, a stipend of *£19,237 p.a.*, and access to a training support budget for 3.5 years. For more information and details on how to apply, visit UniversityofBathPhDOpportunities <https://www.findaphd.com/phds/project/faculty-of-science-ursa-phd-project-m…>, or send an email to Georgios Exarchakis at ge394(a)bath.ac.uk. Applications close on *December 6, 2024.* Best, Georgios* *

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Post-doc position at EPFL on Computational Visual Neuroscience
by Dimitri Van De Ville Nov. 24, 2024

Nov. 24, 2024

Dear Comp-Neuro community, Kindly find a job ad for a post-doc position at EPFL on Computational Visual Neuroscience below. Best wishes, Dimitri — Post-Doctoral Researcher at EPFL on Computational Visual Neuroscience – start date ASAP Position Description We are seeking a postdoctoral researcher for a one-year (renewable) project within the MIP:Lab of the Ecole Polytechnique Fédérale de Lausanne (EPFL) located at the Campus Biotech in Geneva, Switzerland. The project is at the interface between an industrial partner (Dandelion Science) and the MIP:Lab headed by Prof. Dimitri Van De Ville. Start date is as soon as possible (date may be negotiable) and will last for approximately 15 months. At the end of the postdoc, there will be an opportunity to join the company as an employee. The post-doctoral researcher will join a team of academic and industrial group members to work on new computational modeling frameworks for rapidly time-varying functional networks in late sensory and non-sensory cortex in the context of biofeedback-influenced video viewing. A mix of theoretical, algorithmic, and empirical work is expected, in collaboration with an industrial partner in the healthcare technology/AI field providing behavioral and neural (streaming M/EEG) data. Some first-hand behavioral and neural data (M/EEG) is also expected to be acquired in the M/EEG Platform at the Campus Biotech. We are interested in maintaining the rich diversity in our work teams and encourage applications from all interested candidates. The salary range at EPFL is competitive and the quality of living in Switzerland is outstanding. Qualifications The ideal candidate will have a PhD, strong quantitative, signal processing, and machine learning skills, data analytic expertise (Python and Matlab), and enthusiasm for broadly advancing the treatment of neurological disorders. Experience with neuroimaging is required, preferably with human subjects. The candidate should be creative, enjoy problem solving, and be prepared to collaborate within a larger team with diverse expertise. Experience in commercial biomedical development is also preferred. Appropriate background/training includes systems or engineering, physics, machine learning and data science, as well as cognitive neuroscience. Application Instructions Please send your motivation letter, CV with publication list, one-page personal research statement, and contact information of three referees, to with subject line “[CV-POSTDOC] <Your Name>” to dimitri.vandeville(a)epfl.ch Job Type: 100% Work Location: In person — Dimitri Van De Ville Professor, Fellow IEEE & EURASIP Neuro-X Institute EPFL - Ecole Polytechnique Fédérale de Lausanne Professor, Department of Radiology and Medical Informatics University of Geneva Switzerland URL: http://miplab.epfl.ch/ Twitter: @dvdevill

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apply to ITCN at Penn
by Maria Neimark Geffen Nov. 22, 2024

Nov. 22, 2024

The Computational Neuroscience Initiative <https://www.cni.upenn.edu/> at the University of Pennsylvania offers a new program for Interdisciplinary Training in Computational Neuroscience (ITCN) at the doctoral level. The goal of the ITCN is to train a new generation of scientists who will make quantitative links between properties of the brain and properties of the mind. ITCN trainees will learn to use computational methodology to interpret experimental results, build predictive models of brain function that inform the design of the experiments, and support an ever-growing list of applications from brain-machine interfaces in the clinic to cutting-edge forms of artificial intelligence. The ITCN brings together students and faculty <https://www.cni.upenn.edu/people> from Penn’s PhD programs in Neuroscience <https://www.med.upenn.edu/ngg/> (Biomedical Graduate Studies, Perelman School of Medicine), Bioengineering <https://be.seas.upenn.edu/doctoral/> (School of Engineering and Applied Science), Physics <https://www.physics.upenn.edu/graduate/> (School of Arts and Sciences), and Psychology <https://psychology.sas.upenn.edu/graduate> (School of Arts and Sciences). To join the ITCN, students first apply to one of those "home" PhD programs. Once admitted, students then typically apply to the ITCN before starting classes in their first year. Those selected meet with the ITCN Advisory Committee, both individually and as a group, to develop individualized training plans that meet the goals and requirements of the ITCN and each student’s home program. These plans include coursework, research, and other activities that aim to build both expertise in computational neuroscience and a sense of community in the ITCN. Details are provided below. The ITCN embraces diversity and inclusion in their many forms, including welcoming students with a broad range of personal, professional, and academic backgrounds into both our training program and the field of computational neuroscience as a whole. *Application. *The application deadline is Dec. 1 for the Penn PhD programs! Prospective PhD students must first apply and be accepted into one of our participating graduate programs: Neuroscience <https://www.med.upenn.edu/ngg/>, Bioengineering <https://be.seas.upenn.edu/doctoral/>, Physics <https://www.physics.upenn.edu/graduate/>, or Psychology <https://psychology.sas.upenn.edu/graduate> (PhD students admitted to other PhD programs at Penn may also be considered; see below for additional requirements). Students typically apply to the ITCN before starting classes in their first PhD year, although we will also consider applications from students in more advanced years who believe they will be able to meet our academic requirements. Selection into the ITCN does not require a background in computational neuroscience. Instead, we require: 1) a brief (~½ page) essay describing why you want to join the ITCN and how it would fit into your training and career plans; 2) written permission from your Graduate Chair (and, for MD-PhD or VMD-PhD students, the Director of your Combined Degree Program); and 3) if you are not in one of our four participating programs, descriptions of the funding source(s) and course and research requirements for your home PhD program. Please send your application materials, and/or any questions, to Vijay Balasubramanian <vijay(a)physics.upenn.edu>, Maria Geffen <mgeffen(a)pennmedicine.upenn.edu>, and/or Joshua Gold <jigold(a)pennmedicine.upenn.edu>.

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Allen Institute Modeling Software Workshop 2025 - and a brief survey
by Anton Arkhipov Nov. 21, 2024

Nov. 21, 2024

Dear Colleagues, Join us at the Allen Institute Modeling Software Workshop<https://alleninstitute.org/events/2025-modeling-software-workshop/> on July 28-30, 2025 at the Allen Institute in Seattle, WA! And whether applying to the Workshop or not, please help us understand what the field needs by filling out this brief survey<https://forms.office.com/pages/responsepage.aspx?id=1pxmMn9zOUuL3daVESDT_M4…>. That will be very helpful to guide our work. About the Workshop This hands-on workshop focuses on building and simulating complex and heterogeneous network models grounded in real biological data. Participants will learn to use BMTK, SONATA, VND, our data, and models for simulating brain circuits. Applications<https://alleninstitute.submittable.com/submit/306603/2025-allen-institute-m…> are due March 15th, 2025! Selected applicants will be notified by May 1, 2025. Limited travel funding is available. We are looking forward to hearing from you. Best regards, Anton. Anton Arkhipov Investigator, Allen Institute antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> alleninstitute.org<https://alleninstitute.org/> brain-map.org<https://portal.brain-map.org/>

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IMPRS for Language Sciences PhD Fellowships 2025
by Lam, Kevin Nov. 21, 2024

Nov. 21, 2024

** IMPRS for Language Sciences PhD Fellowships 2025 ** The International Max Planck Research School (IMPRS) for Language Sciences is offering two fully-funded PhD Fellowship for four years (2025-2029) with a preferred start-date in September or October, 2025. The goal of the scheme is to enable young researchers to pursue interdisciplinary research projects in the language sciences, supervised by leading scientists at the Max Planck Institute for Psycholinguistics and its partner institutes at the Radboud University -- the Centre for Language Studies and the Donders Institute for Brain, Cognition and Behaviour. https://www.mpi.nl/ | https://www.ru.nl/cls | https://www.ru.nl/donders Find out more about the Fellowships and read first-hand accounts of our members: https://www.mpi.nl/imprs-phd-fellowships-2025 | https://www.mpi.nl/imprs The application deadline is 6 January, 2025. Thanks in advance. Best wishes from Nijmegen, Dr. Kevin Lam, Graduate School Coordinator http://www.mpi.nl/imprs | https://www.mpi.nl/people/lam-kevin

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Global Summit on Open Problems for AI. Museum of Science, Boston, 4-6th December.
by Battleday, Ruairidh Nov. 20, 2024

Nov. 20, 2024

Global Summit on Open Problems for AI. Museum of Science, Boston, 4-6th December. What are the next set of challenges for AI algorithms? What are the open problems in regulation & application? We are most excited to announce the Algorithmic Innovation and Entrepreneurship Global Summit on Open Problems for AI <http://www.algopreneurship.ai>. Join the USA’s leading AI researchers, policy makers, and entrepreneurs in this global Summit over three days of keynote talks, panels, and breakout sessions. Day 1 - Algorithms We ask what the fundamental challenges for developing AI algorithms are, as well as promising avenues for overcoming them. We’ll be hearing from Professor Aaron Courville (MILA), Professor Hidenori Tanaka (NTT & Harvard), Dr James Whittington (Oxford & Stanford & Zyphra), Dr Jonathan Richard Schwarz (Thomson Reuters), Dr Zi Wang (Google DeepMind) Panel on “Is this the end of Scale?” (Stanford, MIT, Kempner Institute Harvard, DeepMind, MosaicML, PillarVC) Panel on “How Should We Fund AI Research?” (Harvard Kempner Institute, Convergent Research, DeSciNYC, Advaita Capital, Flagship Pioneering) Day 2 - Ethics We ask what the fundamental ethical challenges and opportunities are for AI. Professor David Duvenaud (Toronto & Anthropic), Professor Alex "Sandy" Pentland (MIT), Dr William Casey King (Yale & Microsoft), Patricia Thaine (Private AI), Jurgita Miseviciute (Proton), Dr Aleks Jakulin (data.flowers) & Han Sheng Chia (Center for Global Development) Panel: Micro Ethics - What Can Individual Researchers Do for Ethical AI? Chair: Nicolay Hagen (NTNU) Panel institutions: Toronto, MIT, Harvard, Private AI, Anthropic, Context Fund Panel: Meso Ethics - What Can Organizations Do for Ethical AI? Chair: Professor Skyler Wang (McGill) Panel institutions: Microsoft Research, Northeastern University, Proton, Data.Flowers Panel: Macro Ethics - If AI is the answer, what is the question? Chair: Saima Fancy (Women in AI Ethics & Women in AI Governance) Panel institutions: McKinsey, Operation Hope AI Ethics Council, Center for Global Development, Academy Day 3 - Applications We ask what the fundamental challenges and opportunities are in applications for social good. Keynotes: AI for Science team (OpenAI), Dennis R. Mortensen (LaunchBrightly), Samuel Colvin (Pydantic), Professor Andreea Bobu (MIT), Professor Agata Lapedriza (Institute for Experiential AI), Dr Anna Litvak-Hinenzon (AL-Tech AI) Lightning talks: David Rose (LookOut), Albert Chen (Anago), Trevor Keith (Codapt), Waleed Atallah (Maco), Kachina Studer (Harvard/MIT), Dr Mireia Torello (AIKreate), Tanay Wakhare (Stealth) Expert session: AI & Medicine Professor Marzyeh Ghassemi (MIT), Professor Dan Nicolau Jr (Kings College London), Dr Alex Oshmyansky (Cost Price Drugs), Dr Clara-Lea Bonzel (Harvard), Anna Marie Wagner (DARPA & BOLD Corporation), Dr Salim Afshar (Harvard & RevealHealthtech), Thiri Shwesin Aung (Global Impact Assessment), Grigori Guitchounts (Flagship Pioneering) This should be an exciting and productive event, and we expect an audience of 400 of the USA’s best AI researchers and entrepreneurs, at student, early-stage, and full career levels. Student day tickets: $10 Early bird day: $20 Ruairidh <https://www.linkedin.com/in/ruairidh-battleday-648a2b65/>, James <https://www.jcrwhittington.com/>, and Dan <https://www.kcl.ac.uk/people/dan-nicolau> Thinking About Thinking <https://www.thinkingaboutthinking.org/> -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking, Inc <https://thinkingaboutthinking.org> Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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PhD position - Memory - Neural Computation Group - Max Planck Institute CBS, Leipzig
by Andrej Bicanski Nov. 19, 2024

Nov. 19, 2024

Dear colleagues, I am advertising a PhD position in computational neuroscience in my group (Neural Computation) - fully funded (3 years) - at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig. The position is part of an international collaborative effort (4 labs) to test and develop further computational models of episodic and spatial memory by combining human intracranial electrophysiology and computational models. Specifically, the project will explore computational/neural mechanisms underlying cognitive maps, spatial (and episodic) memory, and navigation. The candidate will have two main tasks: 1. develop new and improve existing models, 2. co-develop an analysis pipeline for human single units. Prerequisites are outstanding records in an area relevant to neuroscience. A strong quantitative background in the natural sciences, mathematics, computer science or engineering is also suitable (e.g., physics, mathematics, electrical engineering etc.). Excellent programming skills (Python, Matlab) are required. This project is part of an international collaboration with the Universities of Bonn (Prof. Lukas Kunz), Berlin (Prof. Richard Kempter), and Columbia (Prof. Josh Jacobs). Please direct potential candidates to the ad at: https://www.cbs.mpg.de/stellenmarkt/stellenangebote Reference: PhD17/24 The intended starting dates are as early as possible in 2025. Applications will be considered as long as the above advert is up. You can read more on the group here: https://www.cbs.mpg.de/psychology/neural-computation Best wishes, Andrej Bicanski -- Dr. Andrej Bicanski Neural Computation Group Max Planck Institute for Human Cognitive and Brain Sciences Stephanstrasse 1a, 04103 Leipzig, Germany Email: bicanski(a)cbs.mpg.de <mailto:bicanski@cbs.mpg.de> Tel.: +49 (0)341 9940197

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Fwd: AI Cluster Hiring of UT System Research Excellence Regents' Professorships at UTSA
by Dhireesha Kudithipudi Nov. 18, 2024

Nov. 18, 2024

The University of Texas at San Antonio (UTSA), MATRIX AI Consortium, invites applications for the position of Full Professor / Associate Professor, to be appointed as a University of Texas System (UT System) Research Excellence Regents' Professor. Successful candidates will be part of a strategic Clustered & Connected Hiring Program (CCP) <https://www.utsa.edu/strategicplan/initiatives/research/strategic-hiring/cc…> focused on Artificial Intelligence, with an anticipated start date in the Fall of the 2025-26 academic year. The University of Texas System recently approved the creation of the Regents’ Research Excellence Program across its four Emerging Research Universities (ERUs), including UTSA. UT System has allocated $55 million across all four ERUs to fund the recruitment of research-active faculty to dramatically grow its national research prominence and federal funding opportunities. The positions open are in areas: 1. *Trustworthy AI/ML Algorithms (eg: neuro-inspired algorithms)* 2. *Neuromorphic AI Accelerators/Chips* 3. *Human-Centered AI* 4. *AI Ethics* The Regents Professors will be core members of the MATRIX Consortium, which is a central hub for 87 AI scientists, facilitating transdisciplinary research, fostering high-impact collaborations, and offering thought leadership and domain expertise to address the most challenging and complex problems in AI. Areas of interest include Trustworthy AI/ML Algorithms, Neuromorphic AI Accelerators, Human-centered AI, AI Ethics, all of which advance the research thrusts in the MATRIX. MATRIX strives for scientific excellence in developing holistic solutions for human well-being. The team has a successful track record in securing large collaborative grants that generated multiple centers, such as the NSF AI Partner Institute, two NSF EFRI BRAIDs, AFOSR COE in neuro-inspired AI, along with large collaborative projects in AI for healthcare. Apply here: https://zahr-prd-candidate-ada.utshare.utsystem.edu/psc/ZAHRPRDADA/EMPLOYEE… Best Regards Dhireesha Founding Director| MATRIX <https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fai.utsa.e…> AI Consortium & NUAI <https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nuail…> Research Lab Professor| McDermott Endowed Chair| ECE/CS| UTSA

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Neuroinformatics Cluster Hire at UIUC
by Vlasov, Yurii A Nov. 18, 2024

Nov. 18, 2024

Strategic Hiring Initiative: Neuroinformatics Cluster Hire The University of Illinois Urbana-Champaign (UIUC) is announcing a major university-wide Strategic Hiring Initiative to hire 3 full-time tenure-track faculty positions at all levels (Assistant Professor, Associate Professor, Full Professor) in the area of Neuroinformatics that lies at the critical intersection of computational neuroscience, computer science, and information science with a primary focus on understanding the function of the brain in disease and health. This major institutional investment, which spans across the Grainger College of Engineering and the College of Liberal Arts and Sciences, seeks to expand and complement existing efforts across campus and serve as catalyst to establish UIUC as a center of excellence in understanding the function of the human brain. Additional information on this cluster hire initiative can be found on the website https://publish.illinois.edu/neuro-cluster/ Participating Departments This year the participating departments are: (1) Computer Science; (2) Electrical and Computer Engineering; (3) Bioengineering. Areas of Interest We seek applicants with expertise in computer science, biomedical informatics, and computational neuroscience, with primary research interests directed at the development and application of modern artificial intelligence or machine learning analytical tools and techniques for coordinated “big data” analyses of the state-of-the-art neuroscience datasets, such as large-scale electrophysiology, calcium/voltage imaging, multimodal brain imaging, genetic and epigenetic data, and complex behavioral datasets. Eligibility Successful candidates will be part of a large cohort of new faculty contributing to and benefiting from this rich computational systems neuroscience research environment and will have tenure homes in one of the six participating departments. Candidates interested in interactive and trans-disciplinary team research are particularly encouraged to apply. Cross-appointments between different departments are envisioned and encouraged, although each faculty member is expected to have a primary appointment in a single department. Application Instructions To ensure full consideration, candidates should apply to one or more of the six departments. Candidates should include in their application cover letters that they would like to be considered for the cluster hire program, and they should list which other departments they have applied to, if any. For other application materials, candidates should follow the directions in specific position descriptions. Candidates may be contacted if a search committee requires more information. For full consideration, apply by the closing date listed in the specific departmental position descriptions. Early applications are strongly encouraged as interviews may take place during the application periods, but hiring decisions will not be made until after the closing dates.

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[seminar.wwtns] World wide VVTNS series: Wednesday, November 20, 2024, at 11:00 am EST| Chris Eliasmith, University of Waterloo
by David Hansel Nov. 17, 2024

Nov. 17, 2024

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Chris Eliasmith University of Waterloo on the topic of The algebra of cognition The lecture will be held on zoom on Wednesday, November 20, 2024, at *11:00 am EST * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *In recent years, my lab and others have demonstrated the value of vector symbolic algebras (VSAs) for capturing a wide variety of neural and behavioural results. In this talk I discuss the surprising and compelling variety of tasks and styles of reasoning that are well-suited to descriptions using a specific VSA. These tasks include path integration, navigation, Bayesian reasoning, sampling, memorization, and logical inference. The resulting spiking neural network models capture various hippocampal cell types (grid, place, border, etc.), behavioural errors, and a variety of observed neural dynamics. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), 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

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PhD position on predictive representations / dynamic RSA, CIMeC, Uni Trento, Italy
by Moritz Wurm Nov. 17, 2024

Nov. 17, 2024

We are seeking for a highly motivated PhD student 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 an 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. We're looking for applicants who: · Have a strong drive to pursue a career in scientific research · Possess independent and critical thinking skills · Excel in collaborative teamwork · Have a background in cognitive neuroscience (preferably M/EEG or fMRI, MVPA/RSA) and strong programming skills (preferably Matlab) At CIMeC, you'll have access to cutting-edge research facilities, such as: · A brand new MEGIN TRIUX neo MEG system · A 3T MRI Siemens Prisma · TMS, EEG, and combined TMS-EEG setups · Human intracranial stereotactic EEG · Eye-tracking systems · Kinematic recording systems All equipment is dedicated 100% to research purposes, providing you with the ideal environment for testing your research questions. As a member of our lab and of the wider CIMeC community, you will be part of an international community of students and researchers in a vibrant scientific environment. The working language is English. Our lab enjoys numerous international collaborations, and we offer ample opportunities to engage with the broader scientific community through conferences, workshops, and international meetings, supported by research funding attracted by our lab. Living in Trentino offers a unique combination of natural beauty and cultural richness. Situated among stunning landscapes between the Dolomites and Lake Garda, it provides a serene setting where you can appreciate nature alongside various cultural activities and sports. Trentino is undoubtedly one of the most beautiful regions in Italy, offering an exceptional quality of life alongside your academic pursuits. Deadline to apply is June 24. Find more information on CIMeC’s doctoral program here <https://www.unitn.it/drcimec/>. If you are thrilled to contribute to our research in cognitive neuroscience, please send an informal inquiry, including a CV and a brief statement of research interests, to moritz.wurm(a)unitn.it <mailto:moritz.wurm@unitn.it>. We look forward to hearing from you! Best wishes, Moritz Wurm

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[Meetings] BrainModesBilbao 2024 - Free streaming of the conference
by Asier Erramuzpe Aliaga Nov. 17, 2024

Nov. 17, 2024

On behalf of the Organization Committee of BrainModesBilbao Since its inception in 2007, the BrainModes conference series has been a beacon for the neuroscience community, drawing attention to the intricate dynamics of brain functionality. These topics are at the forefront of hashtag#neuroscience research, offering novel insights into how the brain operates as a complex system. By focusing on these areas BrainModesBilbao2024 will serve as a vibrant platform for both emerging and established researchers, clinicians, and scholars to exchange ideas, consolidate collaborations, and discuss the latest advancements in the field. https://brainmodes-bilbao-2024.eu/ FREE streaming YouTube! (no registration needed) Nov. 18 - 21, 2024 Check the program below Live-streaming links: 🔗 Monday November 18 (PM) https://lnkd.in/d63r2hXA 🔗 Tuesday November 19 (AM) https://lnkd.in/disMj94P (PM) https://lnkd.in/dXxVFbPp 🔗 Wednesday November 20 (AM) https://lnkd.in/dbvG9fdu (PM) https://lnkd.in/dk6gArpp 🔗 Thursday November 21 (AM) https://lnkd.in/dCzkTeAT This free streaming is made possible by the support of the Euskampus Fundazioa. #BrainModesBilbao plenary speakers: ▪️ Petra Ritter, Charité - Universitätsmedizin Berlin ▪️ Daniel Margulies, CNRS ▪️ Peter A. Robinson, University of Sydney ▪️ Danielle Kurtin, Imperial College London ▪️ Ana Solodkin, The University of Texas at Dallas ▪️ Alex Fornito, Monash University ▪️ Jil Meier, Charité Universitätsmedizin Berlin ▪️ Jakub Vohryzek, Universitat Pompeu Fabra ▪️ Hanna Honcamp, University of Maastricht ▪️ Alessandro Gozzi, Istituto Italiano di Tecnologia ▪️ Marta Xavier, University of Lisbon ▪️ Gustavo Deco, Universitat Pompeu Fabra ▪️ Giulia Petri, École polytechnique fédérale de Lausanne, EPFL ▪️ Maurizio Corbetta, Università degli Studi di Padova ▪️ Izaro Fernandez Iriondo, IIS Biobizkaia ▪️ Viktor Jirsa, INS - Institut de Neurosciences des Systèmes ▪️ Sophia Forsberg Tibblin, hashtag#BCC Basque Center on Cognition ▪️ Joana Cabral, ICVS - Life and Health Sciences Research Institute ▪️ Andrés Lozano, University of Toronto ▪️ Diego Vidaurre, Aarhus University ▪️ Marilyn Gatica, University of London ▪️ Adrián Ponce Alvarez, CFIS - UPC (Polytechnic University of Catalonia) Organizers: ▪️Wael El-Deredy ▪️Joana Cabral ▪️Adolfo LOPEZ DE MUNAIN ARREGUI ▪️Jesus Cortes Supported by Computational Neuroimaging Lab Bilbao Sponsored by Biometriks Health, BrainModes Bilbao 2024 is hosted by Cruces University Hospital. Participating institutions: ▪️Osakidetza ▪️Hospital Universitario Cruces - OSI Ezkerraldea Enkarterri Cruces ▪️IIS Biobizkaia ▪️Universidad del País Vasco/Euskal Herriko Unibertsitatea

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CALL FOR PAPERS - BIOSIGNALS 2025 - DECIDE SPECIAL SESSION IN PERSONALIZED BRAIN MEDICINE
by Vassilis Cutsuridis Nov. 15, 2024

Nov. 15, 2024

Dear colleagues, You are invited to submit a paper to DECIDE 2025 Special Session<https://biostec.scitevents.org/DECIDE.aspx> hosted by the BIOSIGNALS 2025<https://biosignals.scitevents.org/Home.aspx> conference to be held on 20-22 February 2025 in Porto, Portugal Title: Data- and Theory-Driven Approaches in Personalized Brain Medicine: from Diagnosis to Treatment (DECIDE) Scope: Deciding the right diagnosis, the best treatment and predicting the evolution of the disease is of paramount importance in personalized medicine. Diseases are dynamic and very heterogeneous. Etiologies are complex and often several hypotheses are needed to explain their pathogenesis. This is because studies carried out isolate the effects of a single mechanism and not the interaction of many mechanisms. This leads to a set of conflicting results difficult to interpret. Data-driven (ML/DL) and theory driven (Dynamical models) approaches dealing with diverse data are increasingly used in medicine. Bridging the gap between data- and theory-driven approaches is the central theme of the special session. Real progress in personalized medicine can only be made via such cross-disciplinary interactions. Topics of interest Topics of interest include, but are not limited to: * Computational/mathematical models of drug and stimulation treatments and therapies * Data processing, image and signal reconstruction and enhancement and cross-modality synthesis * Development of a culture of mathematical and computational modelling of brain diseases that will benefit those in clinical practice * Extraction of biomarkers from ‘omics’, signal and imaging data * Machine learning algorithms for prediction of disease evolution * Machine learning algorithms in disease detection and diagnosis * Multi-scale, multi-level models of disease understanding * Translation research on the dynamics of diseases into treatments for age related illnesses Important Dates Paper Submission: December 18, 2024 Authors Notification: January 14, 2025 Camera Ready and Registration: January 22, 2025 Publications Extensions of selected papers will be hosted in a Cognitive Computation journal (Springer-Nature)<https://link.springer.com/journal/12559> special issue organized by the event organizers. Kind regards, Vassilis --- Dr Vassilis Cutsuridis Associate Professor in Computer Science School of Engineering, Computing and Mathematics University of Plymouth, Drake Circus, Plymouth, UK, PL4 8AA Email: vassilis.cutsuridis(a)plymouth.ac.uk Web: https://www.plymouth.ac.uk/staff/vassilis-cutsuridis ________________________________ [https://www.plymouth.ac.uk/images/email_footer.gif]<http://www.plymouth.ac.uk/worldclass> This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, University of Plymouth accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. University of Plymouth does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form.

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[Meetings] 2025 Nengo Summer School Call For Applications
by Michael Furlong Nov. 15, 2024

Nov. 15, 2024

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 10th 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/nFYTqieEnSY We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. ***Application Deadline: February 1, 2025*** 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. BrainDrop, 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 1st to June 13th, 2025 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!

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Fwd: Open-rank Faculty Position in Computational Neuroscience at NYU
by Jooyeon Kim Nov. 15, 2024

Nov. 15, 2024

Dear Moderator, If you could please post the following ad that would be greatly appreciated. Thanks! Best, Joo *Open-rank Faculty Position in Computational Neuroscience* *New York University * *Arts & Science (A&S)* *Center for Neural Science * *Interfolio link: * http://apply.interfolio.com/15776 <http://apply.interfolio.com/157767> *Location* Center for Neural Science *Open Date* Nov 1, 2024 *Deadline* Review of applications will begin Jan 10, 2025 *Description* The Center for Neural Science (CNS) at New York University (NYU) invites applications for a full-time, tenure-track or tenured, open-rank faculty position. We seek scholars who carry out innovative, rigorous, and impactful research in computational neuroscience, preferably with a focus on the theory of neural circuits. At CNS, our faculty have broad interests in experimental and computational neuroscience, and we foster a collaborative and inclusive environment, supportive of new faculty. The successful candidate will be expected to lead an internationally recognized research program, with a commitment to excellence in teaching, and will become part of a vibrant neuroscience community spanning the Arts and Sciences at the Washington Square campus and the School of Medicine. More information about our department can be found at www.cns.nyu.edu. The appointment can begin as early as September 1, 2025, pending administrative and budgetary approval. *Qualifications* Candidates should have a PhD, MD, or equivalent degree, postdoctoral experience, and a strong record of research achievement. Appointees will establish their own independent research program and contribute to the teaching of undergraduate and graduate students. *Application Instructions* Completed applications must be submitted by midnight (EST) on December 31, 2024. Please provide the following materials through Interfolio: • Cover letter that includes a brief summary of your most significant research. accomplishments. • Curriculum vitae. • Concise research statement (no more than three pages) that describes (a) your experience and qualifications and (b) your goals and vision for an independent research program. • Three recommendation letters, submitted by the referees through Interfolio dossier services. • Copies of at least three representative publications. • Teaching statement (no more than one page). • A statement (no more than one page) that outlines the work that the candidate has done or will do to promote diversity, equity and inclusion in their discipline, research, classroom or community. For any questions, please contact Jooyeon Kim jk3062(a)nyu.edu . Diversity and inclusion are important parts of the NYU mission. Statements addressing diversity and inclusion should describe how your (1) scholarship, (2) teaching and mentoring, and/or (3) service and engagement demonstrate your commitment to diversity, equity, and inclusion. We are particularly interested in hearing about (1) concrete steps you have taken (or are planning to take) to foster an inclusive intellectual environment in your research lab, in the classroom, in the department and on campus, and/or in your field more generally, and (2) how these steps connect with your broader views on the topics of diversity, equity, and inclusion. Arts & Science at NYU is at the heart of a leading research university that spans the globe. We seek scholars of the highest caliber, who embody the diversity of the United States as well as the global society in which we live. Because broad diversity is essential for creating an inclusive climate, we are committed to the fair treatment of and equal access to opportunity and advancement for all and will assess the many qualifications of all applicants. We strongly encourage applications from women, racial and ethnic minorities, and other individuals who are under-represented in the profession, across color, creed, race, ethnic and national origin, physical ability, gender and sexual identity, or any other legally protected basis. NYU affirms the value of differing perspectives on the world as we strive to build the strongest possible university with the widest reach. To learn more about the A&S commitment to diversity, equality, and inclusion, please read here: http://as.nyu.edu/facultydiversity.html *Employment Opportunity Statement* For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels. *Sustainability Statement * NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability *Pay Transparency* In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $89,000 - $129,000 at the rank of Assistant Professor; $115,000 to $175,000 at the rank of Associate Professor; and $150,000 to $240,000 at the rank of full Professor. New York University considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, as well as market and organizational considerations when extending an offer.

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2 postdoc openings in live rodent recording + computational modeling
by Giorgio Ascoli Nov. 15, 2024

Nov. 15, 2024

The Ascoli and Dannenberg labs are looking for 2 postdocs for a newly NIH-funded collaborative project: an experimental one for in vivo recordings in live behaving mice, and a computational one for a corresponding large-scale data-driven spiking neural network model. The details and application instructions are at krasnow1.gmu.edu/cn3/Postdoc2positions_Ascoli_Dannenberg.pdf<https://krasnow1.gmu.edu/cn3/Postdoc2positions_Ascoli_Dannenberg.pdf>. If you are/know the right candidate(s), please apply/send them our ways! If not, we'll appreciate your help in circulating. ---------------- Giorgio Ascoli<https://krasnow1.gmu.edu/cn3/ascoli>, PhD Distinguished University Professor Bioengineering Department<https://bioengineering.gmu.edu/>, College of Engineering & Computing<https://cec.gmu.edu/> Neuroscience Program<https://neuroscience.gmu.edu/>, Krasnow Institute for Advanced Study Director, Center for Neural Informatics, Structures, & Plasticity<https://krasnow1.gmu.edu/cn3> MS2A1 - George Mason University<https://www.gmu.edu/>, Fairfax, VA 22030-4444 (USA) Author of "Trees of the Brain, Roots of the Mind<https://www.amazon.com/Trees-Brain-Roots-Giorgio-Ascoli/dp/0262028980/>" (MIT Press, 2015<https://mitpress.mit.edu/9780262028981/trees-of-the-brain-roots-of-the-mind/>) Founding Editor-in-Chief, Neuroinformatics<https://link.springer.com/journal/12021> AIMBE<https://aimbe.org/> fellow

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Workshop Announcement: Multiscale Modeling with MOOSE at ICSB 2024
by Subhasis Ray Nov. 14, 2024

Nov. 14, 2024

Dear Colleagues, We are conducting a tutorial workshop on "Multiscale Modeling with MOOSE," on 30th November, 2024 at the 23rd International Conference on Systems Biology (ICSB) to be held at IIT Bombay, India ( https://www.icsb2024.com/workshops) The objective of this workshop is to familiarize participants with MOOSE (( https://moose.ncbs.res.in) a comprehensive simulation platform designed for computational modeling in neuroscience and systems biology. Key details: - Workshop Date: November 30, 2024 at IIT Bombay - Format: In-person - Registration: Free (only available to registered ICSB 2024 participants), please register here: https://docs.google.com/forms/d/e/1FAIpQLScklji250_DTrr3UJgqHyWgGxev3qdbWLe… - Registration deadline for the workshop: 23rd November 2024 - Support: Seats for this workshop are limited and participants will receive a maximum travel support of INR 1000. - Food: Hot beverages, snacks and lunch will be provided for free. The workshop is being jointly organized by Dr. Subhasis Ray (CHINTA and IAI, TCG Crest, Kolkata) and Prof. Upinder S. Bhalla (NCBS, TIFR, Bangalore) with funding from the Kavli Foundation. Best regards, Subha --- Subhasis Ray, PhD Associate Professor CHINTA and IAI, TCG CREST Salt Lake, Sector-5 Kolkata, India Webpage: https://www.tcgcrest.org/people/subhasis-ray/ Lab website: https://rayslab.github.io

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Be Part of COMPLEX NETWORKS 2024 – Register Today for Istanbul’s Premier Event in Network Science!
by Genevieve Jourdain-Lambert Nov. 13, 2024

Nov. 13, 2024

*December 10 – 12, 2024 | Istanbul, Turkey* *13th International Conference on Complex Networks & Their Applications* Join us in Istanbul for an inspiring, knowledge-packed three days as leading researchers and practitioners worldwide come together to explore the latest advances in network science. This year's conference will feature insightful keynotes, skill-building tutorials, and numerous opportunities for professional networking and collaboration. *Registration*: complexnetworks.org/registration/ *KEYNOTE SPEAKERS* · Federico Battiston <https://people.ceu.edu/federico_battiston> - Central European University, Austria - *Higher Order Network Science* · Tina Eliassi-Rad <https://www.khoury.northeastern.edu/people/tina-eliassi-rad/> - Northeastern University, USA *– Stability of Graph Machine learning Models* · Frank Emmert-Streib <https://www.tuni.fi/en/frank-emmert-streib> - Tampere University, Finland – *From Digital Twins to Complexity Data Science* · Filippo Menczer <https://cnets.indiana.edu/fil/> - Indiana University, USA – *AI and Social Media Manipulation: the Good, the Bad & the Ugly* · Luciano Pietronero <http://www.lucianopietronero.it/>* - *University of Rome, Italy – *Economic Fitness: Concepts, Methods & Applications* *TUTORIALS (December 9, 2024)* Enhance your skills with our pre-conference tutorials (separate registration required): · Alessandro Galeazzi <https://scholar.google.com/citations?user=DK0tXAIAAAAJ&hl=en> - University of Padova, Italy – *Unveiling Echo Chambers & Users Opinions on Online Social Media* · Clara Stegehuis <https://www.clarastegehuis.nl/> - Twente University, The Netherlands – *Mathematical Analysis & Applications of Network Motifs* *Why Attend?* · *Expand Your Knowledge* with the latest insights from leading voices in complex network science. · *Build Your Network* at coffee breaks, receptions, and social events designed to foster collaborations. · *Engage and Contribute* to discussions that shape the future of complex networks research. Don’t miss this unique opportunity to be part of a vibrant, global community at the intersection of research and application. *Looking forward to welcoming you in Istanbul!* The organizers

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COSYNE 2025: Travel grants; Registration is open
by Tomas Hromadka Nov. 12, 2024

Nov. 12, 2024

==================================================== Computational and Systems Neuroscience 2025 (Cosyne) MAIN MEETING 27 March - 30 March 2025 Montreal, Canada WORKSHOPS 31 March - 01 April 2025 Mont-Tremblant, Canada www.cosyne.org ==================================================== IMPORTANT DATES Registration is now open. Travel grants applications are now open. Travel grant applications deadlines: *06 December 2024, 11.59PM PST (Undergraduate Travel Grant)* 06 January 2025, 11.59PM PST (Other travel grants) ---------------------------------------------------- COSYNE MEETING & WORKSHOPS ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. Participants include pure experimentalists, pure theorists, and everything in between. ---------------------------------------------------- TRAVEL GRANTS ---------------------------------------------------- Applications are now open for travel grants to attend the conference. Each awardee will receive at least $500 to help offset the costs of travel, registration, and accommodations. Larger grants may be available to those traveling from outside North America or having other declared needs. Special consideration is given to scientists who have not previously attended the meeting, under-represented minorities, students who are attending the meeting together with a mentor, undergraduate students, and authors of submitted Cosyne abstracts. We currently offer five travel grant programs for New Attendees, Presenters, Mentors, Undergraduates, and Childcare travel grants. For details on applying, see www.cosyne.org/travel-grants. ----------------------------------------------------- COSYNE 2025 INVITED SPEAKERS ----------------------------------------------------- Max Bennett (Alby) Beth Buffalo (U Washington) Patricia Churchland (UCSD) Eva Dyer (GATECH) Greg Field (UCLA) Julijana Georgieva (TU Munich) Gaby Maimon (Rockefeller U) Cris Niell (U Oregon) Blake Richards (McGill) Fan Wang (MIT) Tim Vogels (IST Austria) Lenka Zdeborova (EPFL) ----------------------------------------------------- COSYNE 2025 COMMITTEES ----------------------------------------------------- ORGANIZING COMMITTEE General Chairs: Bing Brunton (U Washington) and Chandramouli Chandrasekaran (Boston U) Program Chairs: Tatiana Engel (CSHL) and Kevin Franks (Duke) Workshop Chairs: SueYeon Chung (NYU) and Guillaume Lajoie (MILA/U Montreal) Tutorial Chair: Talmo Pereira (Salk) DEIA Committee: Denise Cai (Mount Sinai) and Luke Sjulson (Albert Einstein) Undergraduate Travel Chairs: Kimberly Stachenfeld (DeepMind) and Marcelo Mattar (NYU) Fundraising Chair: Michael Long (NYU) Social Media Chair: Sabera Talukder (Caltech) Audio-Video Media Chair: Carlos Stein Brito (Chamaplimaud) Poster Design: Maja Bialon PROGRAM COMMITTEE Tatiana Engel (CSHL) Co-chair Kevin Franks (Duke) Co-chair Mikio Aoi (UCSD) Arkarup Banerjee (CSHL) Marcus Benna (UCSD) Adrian Bondy (Princeton) Timothy Buschman (Princeton) Celine Cammarata (Duke) Alex Cayco Gajic (Ecole Normale Superieure) Hannah Choi (Gatech) Benjamin Cowley (CSHL) Carina Curto (Brown) Brian DePasquale (Boston U) Sridhar Devarajan (Indian Inst Sci) Laura Driscoll (Stanford) Ann Duan (UCL) Lea Duncker (Stanford) Annegret Falkner (Princeton) Arseny Finkelstein (Tel Aviv U) Rainer Friedrich (Friedrich Miescher Institute) Juan Gallego (Imperial) Matthew Golub (U Washington) Bilal Haider (Georgia Tech) Kiah Hardcastle (Harvard) Ann Hermundstad (Janelia) Michele Insanally (U Pitt) Monika Jadi (Yale) Jonathan Kao (UCLA) Kohitij Kar (York U) Ann Kennedy (Northwestern) Guillaume Lajoie (MILA) Anna Levina (U Tubingen) Laura Lewis (MIT) Camilo Libedinsky (National U Singapore) Ashok Litwin-Kumar (Columbia) Laureline Logiaco (MIT) Emilie Mace (Max Planck) Francesca Mastrogiuseppe (Champalimaud) Luca Mazzucato (U Oregon) Jorge Mejias (U Amsterdam) Jonathan Michaels (York U) Eilif Muller (U Montreal) James Murray (U Oregon) Hendrikje Nienborg (NIH) Gouki Okazawa (Chinese Acad Sci) Marino Pagan (U Edinburgh) Hannah Payne (Columbia) Talmo Pereira (Salk) Erin Rich (Mount Sinai) Ben Scott (Boston U) Nicholas Steinmetz (U Washington) Carsen Stringer (HHMI) Marie Suver (Vanderbilt) Tatjana Tchumatchenko (U Bonn) John Tuthill (U Washington) Ali Weber (Bryn Mawr) Brady Weissbourd (MIT) Alex Williams (NYU) Klaus Wimmer (CRM) Brad Wyble (Penn State) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Anne-Marie Oswald (U Pittsburgh) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ----------------------------------------------------- COSYNE MAILING LISTS ----------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See www.cosyne.org/mailing-lists for details.

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Organizing scientific events in neuroscience - Online Workshop, Dec 5th
by Mateusz Kostecki Nov. 12, 2024

Nov. 12, 2024

Hello! We are happy to announce our new workshop! Organizing scientific events—workshops, summer schools, conferences, symposia—seems like a complex and overwhelming endeavor. You need to design the structure of your event, secure funding, invite guests, promote it, process payments, and contact participants; you need to take care of catering, flights, hotels, and dates. It is a lot, but with a proper approach, some knowledge, and the right people around you, you can organize a successful event even with limited resources. During our workshop, you will learn how to: - design your event, select its target and set goals - secure funding: find sponsors, write grant applications - promote your event on social media and mailing groups - how to approach graphic design - how to contact guests and prepare invitations - how to proceed with funding: event fees, grants, sponsors’ money - how to ensure a good atmosphere - what to do afterward And much more! The event will take place on Thursday, Dec 5th at Nencki Institute, 10 AM – 1 PM. The cost of the workshop is EUR 25. Please find the application form here: https://nenckiopenlab.org/organizing-scientific-events/. The deadline for applications is Nov 25th. Best, NOL Team -- --- Mateusz Kostecki PhD Student Knapska Laboratory Nencki Institute 02-093 Warsaw, Pasteura 3, Poland https://twitter.com/mtkostecki https://evolvingbehavior.blog/

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Call for Workshop Proposals on Complex Systems at FRCCS 2025
by Hocine Cherifi Nov. 12, 2024

Nov. 12, 2024

The FRCCS 2025 <https://iutdijon.u-bourgogne.fr/ccs-france/> Organizing Committee invites proposals for full- or half-day workshops on Complex Systems, taking place May 21-23, 2025. We welcome multidisciplinary workshops that foster collaboration and explore emerging topics. Workshops can include discussions, demos, panels, and more. Key Details: - Proposal Deadline: January 12, 2024 - Workshop Format: Full-day (7 hours) or Half-day (4 hours), with breaks - Organizer Responsibilities: Manage sessions, issue a Call for Papers, and coordinate reviews - Incentives: Waived registration for workshops with over six contributions Submission Requirements (2-4 pages, PDF): - Title, overview, organizers, format, duration, logistics needs, and expected participants. Accepted workshop contributions will appear in the FRCCS 2025 companion book. Select contributions may be invited for publication in partner journals. Submit your proposal to the Workshop Proposal Track on CMT : https://cmt3.research.microsoft.com/FRCCS2025/ For full details, visit the FRCCS website <https://iutdijon.u-bourgogne.fr/ccs-france/workshops-proposals/>, ( https://iutdijon.u-bourgogne.fr/ccs-france/workshops-proposals/) <https://iutdijon.u-bourgogne.fr/ccs-france/workshops-proposals/> or contact the Workshop Chair: Maria Malek (maria.malek(a)cyu.fr) Join us at COMPLEX NETWORKS 2024 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

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Brains in Space Colloquium - 19.11.24 - Russell Epstein - University of Pennsylvania
by Vinita Samarasinghe Nov. 12, 2024

Nov. 12, 2024

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 the colloquium series "*Brains in Space: An Interdisciplinary Research Colloquium on Spatial Navigation*". On Tuesday November 19th Russell Epstein, U. Penn, will talk about "*Spatial knowledge and navigational strategies in the human brain*" *Abstract: *To navigate from place to place, an agent needs to have knowledge of the spatial structure of the world and a strategy for using that knowledge to choose a route. In this talk, I will describe work from my lab that investigates how these core elements of navigation are implemented by the human mind/brain. First, I will describe studies that explore the organization of spatial knowledge ("cognitive maps"). Participants in these experiments were first familiarized with virtual environments containing multiple objects and then scanned with fMRI while recalling the spatial relationships between the objects. Analysis of behavior and fMRI activation patterns revealed that participants' cognitive maps were not simple Euclidean reference frames—rather, they had a rich structure that reflected the environments' segmented and hierarchical organization. Second, I will describe a study that explores the algorithms that people use to navigate to a goal. Participants in this study were scanned with fMRI while performing a "taxi-cab" task that required them to flexibly navigate to multiple possible locations within a virtual city. We found that people's behavioral choices could be explained by a predictive coding (successor representation) model, and that fMRI signals in the hippocampus and neocortical spatial memory regions tracked the different computational components of the model. Together these findings illuminate the representations that people form of environmental spaces and the algorithms they use to navigate to goal locations within these spaces. This is a virtual event and takes place from 4 - 5.30 pm (CET) Zoom link: https://ruhr-uni-bochum.zoom-x.de/j/67839364827?pwd=RfcIgK8OUfjkwWTNCf80ARX… [Meeting ID: 678 3936 4827; Passcode: 841644] The complete schedule can be found at https://www.ini.rub.de/teaching/courses/colloquium_brains_in_space_an_inter… . * * This colloquium is open to the public. Please feel free to forward this information to any of your colleagues who may be interested. Best, Vinita -- Best, Vinita Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience <https://rub.de/cns> Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0)234 32 27996 Email: samarasinghe(a)ini.rub.de

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Faculty positions in Psychology and Cognitive Science (Azim Premji University, Bengaluru, India)
by Ryan Philips Nov. 12, 2024

Nov. 12, 2024

Dear Colleagues, Azim Premji University has launched an exciting new interdisciplinary major in psychology and cognition, focusing on themes like human cognitive development in the life cycle, mental health and well-being, and machine intelligence and learning. The programme aims to provide holistic insights into the interplay of the mind and behaviour by drawing from various disciplines such as philosophy, neuroscience, psychology, computer science, and socio-cultural contexts. We are specifically looking for faculty who specialise in — Developmental Psychology Cognitive Sciences Exceptional candidates with expertise in any other related field are also encouraged to apply. We look for applicants who resonate with the purpose of the University and are keen to contribute to the design, development, and delivery of the courses in psychology and cognitive science in our undergraduate programme. The programme is residential for students, and faculty are expected to contribute to research, teaching, and mentoring students, and help build a vibrant community of learning. Requirements The ability to teach a broad range of courses including courses in psychology, neuroscience, and computation. An advanced degree in psychology, neuroscience, or related areas. The ability and interest in teaching and mentoring a diverse body of students. The ability to combine insights from psychology, neuroscience, and relevant areas of computer science, and an interest in the connections between psychology and broader social issues in economics, politics, and education are an advantage. Significant experience in teaching/clinical practice is an advantage, but not a necessity. Selected applicants will be mentored to develop their teaching. Application link: https://azimpremjiuniversity.edu.in/jobs/faculty-positions-in-psychology-an… Regards, Ryan. Ryan Thomas Philips, PhD, Assistant Professor, School of Arts and Sciences, Azim Premji University. https://azimpremjiuniversity.edu.in/people/ryan-thomas-philips https://manaslab.com

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Call for Papers – NAT’25 Conference on Neuroadaptive HCI and AI in Berlin!
by Stefan Glasauer Nov. 11, 2024

Nov. 11, 2024

[PLEASE EXCUSE MULTIPLE POSTINGS] Dear Colleagues, We are excited to invite you to submit your contributions to NAT'25: Towards Neuroadaptive HCI and AI, a unique interdisciplinary conference that will take place from April 7-10, 2025, at the scenic Abion Spreebogen Hotel in Berlin, Germany. Organized by the Society for Neuroadaptive Technology and Brandenburg University of Technology, NAT'25 unites pioneers in Neuroadaptive Technology, AI, Machine Learning, and related fields. The conference offers an opportunity to explore advances in applications, explorations, neurophysiological data integration, adaptive systems, and AI. Covering topics from passive BCIs to neurofeedback, machine learning, and neuroethics, NAT'25 aims to foster interdisciplinary collaboration and shape the future of human-machine interaction. Key Dates: Website opens for submissions: December 1, 2024 Submission deadline: January 15, 2025 Author feedback: February 7, 2025 We invite abstracts on both novel research and already published work that could benefit from reaching the diverse audience at NAT'25. Accepted abstracts will appear in the conference proceedings, and participants will have opportunities to develop collaborative publications on key conference themes, including roadmaps, theoretical frameworks, and ethical considerations. Register Early! Early bird registration is available until January 1, 2025. For details on fees, topics of interest, and submission guidelines, please visit our conference page: neuroadaptive.org <https://neuroadaptive.org/>. For any questions, please feel free to reach out at neuroadaptive(a)b-tu.de <mailto:neuroadaptive@b-tu.de>. We look forward to your contributions and to welcoming you to Berlin! Warm regards, Thorsten O. Zander Conference Chair, NAT'25 Brandenburg University of Technology, Germany -- Prof. Dr. rer. nat. Thorsten O. Zander Lichtenberg Professorship Neuroadaptive Human-Computer Interaction https://www.b-tu.de/en/fg-neuroadaptive-hci/ Tel: + 49 355 5818 - 613 Brandenburg Technical University -- Cottbus-Senftenberg Faculty 1 - MINT Institute for Medical Technology Lipezker Straße 47 03048 Cottbus

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Fwd: [seminar.wwtns] World wide VVTNS series: Wednesday 13, 2024, at 11:00 am EST| Friedemann Zenke, University of Basel
by David Hansel Nov. 10, 2024

Nov. 10, 2024

---------- Forwarded message --------- From: Theoretical Neuroscience <theoretical.neuroscience.seminar(a)gmail.com> Date: Sun, Nov 10, 2024 at 10:53 AM Subject: [seminar.wwtns] World wide VVTNS series: Wednesday 13, 2024, at 11:00 am EST| Friedemann Zenke, University of Basel To: <seminar.wwtns(a)listes.u-paris.fr> [image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Friedemann Zenke, University of Basel on the topic of Learning invariant representations through prediction The lecture will be held on zoom on Wednesday, November 13, 2024, at *11:00 am EST * To receive the zoom link: https://www.wwtns.online/register-page > > *Abstract: *How do synapses in the middle of the brain know how to adjust their weight to advance a behavioral goal (i.e. learning)? This is referred to as the synaptic ‘credit assignment problem’. A large variety of synaptic learning rules have been proposed, mainly in the context of artificial neural networks. The most powerful learning rules (e.g. back-propagation of error) are thought to be biologically implausible, whereas the widely studied biological learning rules (Hebbian) are insufficient for goal-directed learning. I will describe ongoing work focused on understanding synaptic learning rules in the cortex in a brain-computer interface task. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), 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 ᐧ

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Multiple PhD positions at the University of Bath
by Georgios Exarchakis Nov. 9, 2024

Nov. 9, 2024

*Advance Your Research Career with a PhD at the University of Bath – We Seek Exceptional Candidates!* Are you driven to tackle complex challenges in *Artificial Intelligence*, *Machine Learning*, and *Computer Vision*? The University of Bath is calling for applications from outstanding candidates eager to pursue fully funded PhD projects. Join a top-ranked university recognized for research excellence, where you’ll work at the forefront of innovation in: · Machine Learning Methods for Invariant Representations of High-dimensional Data <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.finda…>, with Dr. Georgios Exarchakis and Prof. Michael Tipping · Cue Representation Learning for Interpretable Video Models <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.finda…>, with Dr. Davide Moltisanti and Dr. Vinay Namboodiri · Energy-efficient and Affordable Training of Large-scale Deep Learning Models <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.finda…>, with Dr. Rohit Babbar and Dr. Vinay Namboodiri · Learning with Limited Data for Unlearning in Large Multimodal Models <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.finda…>, with Dr. Da Chen, Dr. Vinay Namboodiri · Mathematically and Intuitively Understandable Deep Learning <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.finda…>, with Dr. Mingzhi Dong and Prof. Michael Yang · 3D Scene Synthesis Using Diffusion Models and Large Language Models in Multimodal Generative AI <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.finda…>, with Prof. Michael Yang and Dr. Mingzhi Dong · Exploring visual arts with computer vision <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.finda…>, with Dr. Deblina Bhattacharjee and Prof. Peter Hall · Probabilistic Decision Dynamics in Machine Learning <https://www.findaphd.com/phds/project/faculty-of-science-ursa-phd-project-p…>, with Prof. Michael Tipping and Prof. Özgür Şimşek *Why Join Bath? - Pursue Excellence* – We’re University of the Year 2023 (Sunday Times) and consistently ranked among the UK's best for research and student experience. *Collaborate Across Disciplines* – Work within our EPSRC-funded CAMERA Centre and partner with industry leaders like Microsoft, NVIDIA, and Adobe. *Outstanding Location* – Study in Bath, a city of rich cultural heritage, balancing academic excellence with quality of life. ‍ We seek *highly motivated, excellent candidates* with a passion for transformative research. If you’re ready to make a meaningful impact and contribute to some of the most exciting fields in AI, apply now and help shape the future with us at Bath! ‍ Discover more and apply: University of Bath PhD Opportunities ‍ *Enquiries and Applications:* Informal enquiries are encouraged and should be directed to supervisor Dr. Georgios Exarchakis, <https://researchportal.bath.ac.uk/en/persons/georgios-exarchakis> ge394(a)bath.ac.uk Formal applications should be submitted via the University of Bath’s online application form <https://samis.bath.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp…> for a PhD in Computer Science prior to the closing date of this advert. ‍ *IMPORTANT:* When completing the application form: 1. In the *Funding your studies* section, select ‘University of Bath URSA’ as the studentship for which you are applying. 2. In the *Your PhD project* section, quote the project title of this project and the name of the lead supervisor in the appropriate boxes. *Failure to complete these two steps will cause delays in processing your application and may cause you to miss the deadline.* More information about applying for a PhD at Bath may be found on our website <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.finda…>. ‍ *Equality, Diversity and Inclusion:* We value a diverse research environment and aim to be an inclusive university, where difference is celebrated and respected. We welcome and encourage applications from under-represented groups. If you have circumstances that you feel we should be aware of that have affected your educational attainment, then please feel free to tell us about it in your application form. The best way to do this is a short paragraph at the end of your personal statement. ‍ *Funding Notes* Candidates may be considered for a University of Bath studentship tenable for 3.5 years. Funding covers tuition fees, a stipend (£19,237 p/a in 2024/5) and access to a training support budget.

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PhD/Postdoc at Max Planck: how do our internal priors shape what we hear?
by Alejandro Tabas Nov. 7, 2024

Nov. 7, 2024

Deadline approaching for an ERC-funded PhD/Postdoc position on how our priors shape the way we experience reality. Methods include ultra-high-resolution fMRI of the auditory pathway at 7-Tesla and computational modelling. The position will be based at the Max Planck Institute CBS in Leipzig (www.cbs.mpg.de) Candidates from both, cognitive and computational backgrounds are encouraged to apply! Deadline: 17th November More details and application: PhD position: https://recruitingapp-5218.de.umantis.com/Vacancies/416/Description/2/Defau… Postdoc position: https://recruitingapp-5218.de.umantis.com/Vacancies/417/Description/2/Defau… For informal enquires on the project or the position please contact Alejandro Tabas <tabas at cbs dot mpg dot de.

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Master 2 research internship and/or PhD at the CerCo laboratory (Toulouse, France): Modeling motion and depth processing in primate visual cortex using spiking neural networks
by COTTEREAU Benoît Nov. 6, 2024

Nov. 6, 2024

Master 2 Research Internship + PhD Benoit Cottereau / Timothée Masquelier Cerco laboratory (CNRS UMR 5549), Toulouse SV3M & NeuroAI Teams Modeling motion and depth processing in primate visual cortex using spiking neural networks Keywords: Computational neurosciences, Vision, Artificial intelligence, Spatial perception, Depth/motion processing, Spiking neural networks. Type of positions: M2 internship, M2 internship followed by a PhD, or PhD directly. Duration: 5-6 months (M2) – 3 years (PhD). Stipend: Standard French salaries (~650€/month for the M2 and ~2130€/month gross for the PhD). Starting date: early 2025. Place: Centre de Recherche Cerveau et Cognition (CERCO), UMR 5549 (CNRS – Univ Toulouse 3), Pavillon Baudot CHU Purpan, Toulouse, France. Supervisors: Benoit Cottereau, research director at CNRS (CerCo & IPAL, contact: benoit.cottereau(a)cnrs.fr<mailto:benoit.cottereau@cnrs.fr>) and Timothée Masquelier, research director at CNRS (CerCo, contact: timothee.masquelier(a)cnrs.fr<mailto:timothee.masquelier@cnrs.fr>) In primates, neuronal processing of visual information occurs within two main pathways. The ventral pathway (or ‘what’ pathway) underlies cognitive functions such as faces or object recognition whereas the dorsal pathway (or ‘where’ pathway) allows visually guided actions such as navigation or manipulation of objects. In recent years, numerous studies in computational neurosciences used deep neural networks to model neuronal processing within the ventral pathway. Much less is known about treatments carried out along the dorsal pathway. This multidisciplinary project at the interface between AI, computational neurosciences and biological vision aims at modelling motion and depth processing along the dorsal pathway of the primate visual system. In order to reproduce the very low energy consumption of the primate brain, the developed models will be based on spiking-neural networks (SNNs) and will process data collected from event-based cameras . We will be particularly interested in the processing of higher-level forms of motion (optic flow, motion-in-depth, biological motion). The responses of the neural networks after (supervised or unsupervised) training will be compared to biological data from the literature (for example with electrophysiological data recorded in non-human primates, see for example Duffy and Wurtz, 1991) or acquired in the CerCo laboratory. The candidates should be willing to work in an international environment which involves Singapore and France, have a very good level in English (French is not mandatory), excellent mathematical and programming skills (in particular in Python) and a keen interest in the brain. Experience with deep learning libraries (e.g. PyTorch) is desirable. The research will mainly take place in Toulouse, a student city (Toulouse is the second university hub in France) with high quality of life located in the south west of France (close to the Pyrenees, the Mediterranean Sea and the Spanish border). Long-term stays in Singapore (a multicultural and attractive city of south-east Asia) are also planned. Applications should be sent to benoit.cottereau(a)cnrs.fr<mailto:benoit.cottereau@cnrs.fr> and timothee.masquelier(a)cnrs.fr<mailto:timothee.masquelier@cnrs.fr> References: - Cuadrado, J., Rançon, U., Cottereau, B. R., Barranco, F., & Masquelier, T. (2023). Optical flow estimation from event-based cameras and spiking neural networks. Frontiers in Neuroscience, 17, 1160034. - Duffy, C. J., & Wurtz, R. H. (1991). Sensitivity of MST neurons to optic flow stimuli. II. Mechanisms of response selectivity revealed by small-field stimuli. Journal of neurophysiology, 65(6), 1346-1359. - Rançon, U., Cuadrado-Anibarro, J., Cottereau, B. R., & Masquelier, T. (2022). Stereospike: Depth learning with a spiking neural network. IEEE Access, 10, 127428-127439. ************************************************************************************************************ Benoit R. Cottereau, PhD, HDR, CNRS Research director (DR2) at IPAL (IRL 2955, Singapore) and CerCo (UMR 5549, Toulouse) laboratories, Adjunct associate professor in computer science at the National University of Singapore (NUS), Director of the CerCo SV3M team (Spatial Vision in Man, Monkey and Machine): http://cerco.cnrs.fr/en/sv3m-spatial-vision-in-man-monkey-machine/ Supervisor of the Integrative Neurosciences master program of Toulouse III University webpages: http://cerco.cnrs.fr/page-benoit-cottereau/ https://ipal.cnrs.fr/benoit-cottereau-personal-page/ e-mail: benoit.cottereau(a)cnrs.fr<mailto:benoit.cottereau@cnrs.fr> phone: (+65)-8302-2615

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Two fully funded PhD positions (computational neuroscience and AI)
by Jie Mei Nov. 5, 2024

Nov. 5, 2024

* apologies for cross-posting * Dear colleagues, The Wiring, Neuromodeling and Brain Lab at IT:U Interdisciplinary Transformation University Austria is looking for two PhD students to work on neuromodulation-aware artificial intelligence. We are interested in (1) the role of individual neuromodulators (e.g., dopamine, serotonin, and acetylcholine) in initiating and implementing diverse biological and cognitive functions, (2) how competition and cooperation among neuromodulators enrich single neuromodulator computations, and (3) how multi-neuromodulator dynamics can be translated into learning rules for more flexible, robust, and adaptive learning in artificial neural networks (ANNs). We are looking for two motivated PhD students with a strong interest in the intersection of neuroscience, computational modeling, and AI. Ideal candidates will have completed or be in the final stages of a master’s degree in computer science, mathematics, physics, computational neuroscience, or other relevant fields. Programming skills, a solid understanding of computational modeling, and the ability to work and think independently are required. Experience with deep learning frameworks such as TensorFlow and PyTorch is preferred. Working knowledge of spiking neural networks and compartmental models is a plus. Start date: Jan-Mar 2025. Apply by Nov 30, 2024: https://it-u.at/en/research/research-groups/computational-neuroscience/ For more information, please visit: https://majorjiemei.wixsite.com/wnblab If you have any questions, please contact Dr. Jie Mei (jie.mei(a)it-u.at) Best regards Jie Mei Assistant Professor for Computational Neuroscience [Ein Bild, das Schwarz, Dunkelheit enthält. Automatisch generierte Beschreibung] Altenberger Straße 66c Science Park 4 | OG 2 4040 Linz | Austria ATU79114879 www.it-u.at<https://www.it-u.at/> +43 676 / 851307 254 jie.<mailto:vorname.nachname@it-u.at>mei(a)it-u.at<mailto:vorname.nachname@it-u.at> Unsere Datenschutzerklärung finden Sie unter https://it-u.at/en/privacy/. Der Inhalt dieser E-Mail ist vertraulich und kann rechtlich besonders geschützte Informationen beinhalten. Wenn Sie nicht der beabsichtigte Empfänger sind, dürfen Sie diese E-Mail oder die angeschlossenen Dateien weder bearbeiten, verwenden, weitergeben noch reproduzieren. Sollten Sie nicht der vorgesehene Empfänger sein, ersuchen wir Sie höflich, sich sofort mit uns ins Einvernehmen zu setzen und die E-Mail und sämtliche angeschlossene Dateien zu löschen. You can find our Privacy Policy here https://it-u.at/en/privacy/. The content of this email is confidential and may also contain legally privileged information. If you are not the intended recipient you may not process, use, transmit or reproduce this email or any enclosed attachments. If you have received this email by mistake, please notify the sender immediately and delete this email and any enclosed attachments from your system.

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Tenured or Tenure-Track Faculty Position, Fall 2025 - Computational Neuroscience- UT Austin
by Weatherly, Christopher J Nov. 5, 2024

Nov. 5, 2024

Last day to apply: Dec. 3. https://apply.interfolio.com/156045 The Oden Institute for Computational Engineering and Sciences and the Department of Neuroscience at The University of Texas at Austin have an opening for a tenured or tenure-track faculty position beginning Fall 2025 in the area of Computational Neuroscience. We are interested in candidates with expertise in the development and use of AI and machine learning approaches to solve questions in fundamental and translational neuroscience. Examples include analysis of large-scale, multimodal neural and behavioral recordings, biophysical modeling of molecular and cellular interactions across time scales, and use of digital twins for real time predictive analytics of behavior, circuit function, and molecular interactions. Expertise in fundamental and applied machine learning and artificial intelligence for gaining insights into neuropsychiatric disease states is of particular interest. This search is being conducted jointly between the Oden Institute and the Department of Neuroscience as one of several faculty lines committed to expanding the development of AI for Science and Scientific Machine Learning at UT Austin. The successful candidate will have half of their teaching duties in the Oden Institute’s Computational Science, Engineering and Mathematics graduate program and half in the Department of Neuroscience. This position is open to applicants at all ranks: assistant, associate, and full professor, including the possibility of appointment as a chaired professor for candidates with exceptional qualifications. For more information about the Oden Institute for Computational Engineering and Sciences, please visit https://www.oden.utexas.edu<https://www.oden.utexas.edu/>. For more information on the Department of Neuroscience, please visit https://neuroscience.utexas.edu/. Qualifications Candidates must have a Ph.D. degree in neuroscience, molecular biology, biochemistry, engineering, biophysics, computational science or a related field. In addition to the ability to teach neuroscience classes at the undergraduate and graduate levels, the successful candidate must be qualified to teach graduate classes in computational science, engineering and mathematics. The successful candidate will be expected to create undergraduate and graduate learning environments that address the needs of students from a variety of backgrounds, with differing learning styles and abilities. Further, the successful applicant will be expected to develop an externally sponsored research program, mentor graduate students, collaborate with other faculty, and be involved in service to the university and profession. Application Instructions Interested applicants should submit the following materials: (1) a cover letter, (2) curriculum vitae, (3) research statement (max four pages), (4) teaching and mentoring statement (max three pages), and (5) either three letters of reference (candidates for an assistant or associate professor position) or the names of three references (candidates for a full professor position). Candidates should address their submission to the Computational Neuroscience Faculty Search Committee. Review of applications will begin November 11, 2024, and will continue until an appropriate candidate is identified. We anticipate virtual interviews in December and in-person campus interviews in January 2025. The successful candidate will be required to complete an Employment Eligibility Verification form and provide documents to verify identity and eligibility to work in the USA. A security sensitive background check will be conducted on the applicant selected. Please address questions to either co-chair of the Computational Neuroscience Faculty Search Committee: Dr. Robert O. Messing (romessing(a)austin.utexas.edu<mailto:romessing@austin.utexas.edu>) or Dr. David Paydarfar (david.paydarfar(a)austin.utexas.edu<mailto:david.paydarfar@austin.utexas.edu>). ** For application questions, contact Ruth Park (ruth.park(a)oden.utexas.edu<mailto:ruth.park@oden.utexas.edu>).

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EMBO Course “Quantifying Astrocyte Physiology by Models from Genome to Circuits,” April 10–11, 2025, University of Padua, Padua, Italy
by De Pitta, Maurizio Nov. 4, 2024

Nov. 4, 2024

Dear colleagues, Please share and disseminate through your network. On behalf of all the organizers, I am happy to announce that registrations are now open for the EMBO Course on “Quantifying Astrocyte Physiology by Models from Genome to Circuits” hosted by the University of Padua, in Padua, Italy, on April 10–11, 2025 https://sites.google.com/view/embo-satellite-meeting/home The course is a Satellite Event of the EMBO Workshop “Astrocytes: From Molecules to Systems,” which will follow in nearby Venice a couple of days later (April 14–18, 2025). The EMBO Course “Quantifying Astrocyte Physiology by Models from Genome to Circuits” is a two-day intensive course aimed at teaching essential modeling approaches to harness astrocyte biology revolving around four main themes such as (i) astrocyte genomics, (ii) intracellular calcium signaling, (iii) tripartite synapses, (iv) neuron-astrocyte networks. The course is open to researchers of any level in the Academia and Industry. Registration Policy Attendance to the Course is limited to 50 participants due to limited seating. Registrants that are also planning to attend the EMBO Workshop “Astrocytes: From Molecules to Systems” should register through this latter’s website: https://meetings.embo.org/event/25-astrocytes People who will not be selected to attend the EMBO Workshop “Astrocytes: From Molecules to Systems” can still opt to participate in the course by registering through the course website: https://sites.google.com/view/embo-satellite-meeting/home Thank you for your consideration. Maurizio De Pitta ----- Maurizio DE PITTA Principal Investigator Neuron-Glia Interactions Lab (NGILab) Krembil Research Institute, 4KD-509 60 Leonard Ave, Toronto, ON M5T 0S8, CA +1.416.603.5800 ext. 3290 This e-mail may contain confidential and/or privileged information for the sole use of the intended recipient. Any review or distribution by anyone other than the person for whom it was originally intended is strictly prohibited. If you have received this e-mail in error, please contact the sender and delete all copies. Opinions, conclusions or other information contained in this e-mail may not be that of the organization. If you feel you have received an email from UHN of a commercial nature and would like to be removed from the sender's mailing list please do one of the following: (1) Follow any unsubscribe process the sender has included in their email (2) Where no unsubscribe process has been included, reply to the sender and type "unsubscribe" in the subject line. If you require additional information please go to our UHN Newsletters and Mailing Lists page. Please note that we are unable to automatically unsubscribe individuals from all UHN mailing lists. Patient Consent for Email: UHN patients may provide their consent to communicate with UHN about their care using email. All electronic communication carries some risk. Please visit the UHN website and search “Using email to Communicate with Your UHN Health Care Team” to learn about the risks of electronic communication and how to protect your privacy. You may withdraw your consent to receive emails from UHN at any time. Please contact your care provider, if you do not wish to receive emails from UHN.

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EMBO Workshop “Astrocytes: From Molecules to Systems,” April 14–18, 2025, Venice International University, Venice, Italy
by De Pitta, Maurizio Nov. 4, 2024

Nov. 4, 2024

Dear colleagues, Please share and disseminate through your network. On behalf of all the organizers, I am happy to announce that registrations are now open for the EMBO Workshop on “Astrocytes: From Molecules to Systems,” which will take place at the exclusive setting of the Venice International University on San Servolo Island in Venice (Italy) on April 14–18, 2025. https://meetings.embo.org/event/25-astrocytes The EMBO Workshop Astrocytes: From Molecules to Systems is the first international meeting dedicated to astrocytes. It showcases an exceptional line-up of renowned investigators in the field of astrocyte biology to provide a multidisciplinary, comprehensive view of astrocyte research aimed at spurring research in the field for the next decade. Participation in the conference is limited to 160 attendees. The primary selection criterion is the quality of the scientific work. A scientific committee, composed of the Organizers and workshop speakers, will evaluate submitted abstracts based on their relevance to the astrocyte field and alignment with the workshop topics. The presentation of unpublished data is encouraged and will be given priority. We strongly encourage participation from PhD students and postdocs. Selected abstracts will be chosen for short talks, flash talks, and/or poster sessions. Registration: To enroll in selections and access the meeting, please pre-register through the website at the end of this message by January 14, 2025. Confirmed Speakers (in alphabetical order): Amit Agarwal, Heidelberg University, Germany Nicola Allen, Salk Institute for Biological Studies, USA Amaia Arranz, Achucarro Basque Center for Neuroscience, Spain Blanca Díaz Castro, University of Edinburgh, UK Won-Suk Chung, Korea Advanced Institute of Science and Technology, South Korea Laura Civiero, University of Padua, Italy Carmen Falcone, International School for Advanced Studies, Italy Tommaso Felin, Italian Institute of Technology, Italy Fiona Doetsch, University of Basel, Switzerland Bart de Strooper, University College London, UK Maurizio De Pittà, Krembil Research Institute, Canada Blanca Díaz Castro, University of Edinburgh, UK Carole Escartin, CNRS University of Paris-Saclay, France Cristina García Cáceres, German Research Center for Environmental Health, Germany Angela Giangrande, University of Strasbourg, France Inbal Goshen, The Hebrew University, Israel Naomi Habib, The Hebrew University, Israel Dieter Heiland, Medical Center University of Freiburg, Germany Elly Hol, University Medical Center Utrecht Brain Center, The Netherlands Matthew Holt, Institute for Research and Innovation in Health, Portugal Dolores Irala, Duke University Medical Center, USA Stephan Kaeser, Hertie Institute for Clinical Brain Research, Germany Baljit Khakh, University of California Los Angeles, USA Ksenia Kastanenka, Massachusetts General Hospital, Harvard Medical School, USA Martin Kampmann, University of California, USA Andràs Lakatos, University of Cambridge, UK Pierre Magistretti, King Abdullah University of Science and Technology, Saudi Arabia Keith Murai, McGill University Health Center, Canada Marta Navarrete, Instituto Cajal CSIC, Spain Valentin Nägerl, University of Bordeaux, France Nathalie Rouach, College de France, France Francisco Quintana, Brigham and Women’s Hospital, Harvard Medical School, USA Aiman Saab, University of Zurich, Switzerland Eduardo Zimmer, Universidade Federal do Rio Grande do Sul, Brazil EMBO Workshop “Astrocytes: From Molecules to Systems” Apr 14–18, 2025 Venice (Italy) https://meetings.embo.org/event/25-astrocytes Thank you for your consideration of the matter. Maurizio De Pitta ----- Maurizio DE PITTA Principal Investigator Neuron-Glia Interactions Lab (NGILab) Krembil Research Institute, 4KD-509 60 Leonard Ave, Toronto, ON M5T 0S8, CA +1.416.603.5800 ext. 3290 This e-mail may contain confidential and/or privileged information for the sole use of the intended recipient. Any review or distribution by anyone other than the person for whom it was originally intended is strictly prohibited. If you have received this e-mail in error, please contact the sender and delete all copies. Opinions, conclusions or other information contained in this e-mail may not be that of the organization. If you feel you have received an email from UHN of a commercial nature and would like to be removed from the sender's mailing list please do one of the following: (1) Follow any unsubscribe process the sender has included in their email (2) Where no unsubscribe process has been included, reply to the sender and type "unsubscribe" in the subject line. If you require additional information please go to our UHN Newsletters and Mailing Lists page. Please note that we are unable to automatically unsubscribe individuals from all UHN mailing lists. Patient Consent for Email: UHN patients may provide their consent to communicate with UHN about their care using email. All electronic communication carries some risk. Please visit the UHN website and search “Using email to Communicate with Your UHN Health Care Team” to learn about the risks of electronic communication and how to protect your privacy. You may withdraw your consent to receive emails from UHN at any time. Please contact your care provider, if you do not wish to receive emails from UHN.

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[seminar.wwtns] World wide VVTNS series: Wednesday, Wednesday 6, 2024, at 11:00 am EST
by David Hansel Nov. 3, 2024

Nov. 3, 2024

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Hannah Choi Georgia Tech on the topic of Unraveling information processing through functional networks The lecture will be held on zoom on Wednesday, November 6, 2024, at *11:00 am EST * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *While anatomical connectivity changes slowly through synaptic learning, the functional connectivity of neurons changes rapidly with ongoing activity of neurons and their functional interactions. Functional networks of neurons and neural populations reflect how their interactions change with behaviors, stimulus types, and internal states. Therefore, the information propagation across a network can be analyzed through the varying topological properties of the functional networks. Our study investigates the functional networks of the visual cortex at both the single-cell and population levels. Our analyses of functional connectivity of single neurons, constructed from spiking activity in neural populations of the visual cortex, reveal local and global network structures shaped by stimulus complexity. In addition, we propose a new method for inferring functional interactions between neural populations that preserves biologically constrained anatomical connectivity and signs. Applying our method to 2-photon data from the mouse visual cortex, we uncover functional interactions between cell types and cortical layers, suggesting distinct pathways for processing expected and unexpected visual information. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), 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 ᐧ

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Faculty position of AI and psychology/neuroscience - University of Miami
by Mingbo Cai Nov. 2, 2024

Nov. 2, 2024

*Faculty position of Ai and psychology / neuroscience* The Department of Psychology at the University of Miami invites applications for a full-time, tenure-eligible, or tenure-track faculty member to join our department in August 2025. The opening is part of a College of Arts & Sciences cluster hire dedicated to artificial intelligence (machine learning). Prospective candidates should use artificial intelligence as a core approach in their investigations and/or as a topic of their research. Individuals who also have interests in computational approaches including advanced quantitative techniques are encouraged to apply. The specific area of research is open. Area(s) of focus could include, but are not limited to, basic research on perception, cognition, affect, neurophysiology, language, behavior, mental health, the impact of disparities, learning, development, human computer interaction, deep neural network mechanisms, brain-inspired AI, or computational cognitive neuroscience. The candidate’s research would complement and expand current work in the department using large language models to study naturalistic speech, using machine learning to model emotional communication, and using computational models to explain both neural processing and behavior. Candidates will support and advance UM’s mission to engage in innovative and interdisciplinary AI research across the college and university. The Department of Psychology <https://www.psy.miami.edu/> is a vibrant, collaborative community that includes clinical and psychological sciences faculty across Adult <https://www.psy.miami.edu/graduate/adult-division/>, Cognitive and Behavioral Neuroscience <https://cbn.psy.miami.edu/>, Child <https://www.psy.miami.edu/graduate/child-division/>, and Health <https://www.psy.miami.edu/graduate/health-division/> Divisions. The mission of the Department is to acquire, advance, and disseminate knowledge within the Psychological and Biobehavioral Sciences, supported through excellent graduate programs <https://www.psy.miami.edu/graduate/doctoral-programs/index.html> and state-of-the-art facilities. The department values and celebrates cultural diversity of all kinds and has an active Diversity and Equity Committee <https://www.psy.miami.edu/about-the-department/dec/index.html>. The greater Miami community is one of the most ethnically and culturally diverse metropolitan areas in the country. Applications will be considered at all ranks. Appointment is expected to start on August 15, 2025. Candidates must hold a Ph.D. by the appointment start date. Applications can be submitted via the UM Careers Website <https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fumiami.wd…>. Please compile the following documents in *up to five PDFs (each within 5MB) and upload them under the Resume/CV *section of the online application. If you have difficulties uploading any representative publications due to size limitations, please email them directly to our administrative assistant Maria Shah (maria.shah(a)miami.edu) · Letter of interest · Current CV · Research statement · Teaching statement · A statement that explains your contributions to diversity, equity, and inclusion, including comment on mentoring underrepresented populations · 3 representative publications · 3-4 references – we will request letters of recommendation for a final pool of applicants Review of applications will begin on December 1, 2024 and continue until the position is filled. Inquiries, requests for information, and nominations can be sent to the Search Co-Chairs, Aaron Heller ( aheller(a)miami.edu) and Daniel Messinger (dmessinger(a)miami.edu) *------------------------------* The University of Miami is an Equal Opportunity Employer – Females, Minorities, Protected Veterans, and/or Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here <https://www.hr.miami.edu/careers/eo-ada/index.html> for additional information. Mingbo Cai Assistant Professor Department of Psychology University of Miami

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Announcement of BrainCriticality 2024 3-day conference Nov 6 - 8, 2024, NIH, USA
by Plenz, Dietmar (NIH/NIMH) [E] Nov. 2, 2024

Nov. 2, 2024

Brain Criticality Hybrid Meeting November 6 - 8 2024 (in person/virtual) For registration and details see: https://braincriticality.org/<https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbraincrit…> This hybrid meeting will take place at the National Institute of Health, Bethesda, MD, USA with ~25 speakers over the course of 3 days. Contributions will cover recent developments in the fields of systems neuroscience and collective phenomena in complex systems with focus on the role of criticality and its implications for normal and abnormal brain dynamics. Dietmar Plenz, Ph.D. Senior Investigator Section on Critical Brain Dynamics National Institute of Mental Health USA "Complexity from simple rules"

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Openings for Postdocs, RAs, and PhD Students in Computational Psychiatry and Neuro-AI (Lin Lab)
by doerlbh＠gmail.com Nov. 1, 2024

Nov. 1, 2024

Dear colleagues, The Lin Lab (Bytes of Minds Lab) at Mount Sinai is actively recruiting Postdoctoral Researchers, PhD Students, and Research Assistants passionate about Computational Psychiatry and Neuro-AI. Led by Dr. Baihan Lin and based within New York’s largest health network, our lab is at the forefront of mental health technology and brain-inspired AI research, combining insights from neuroscience, cognitive science, and machine learning to create adaptive, intelligent systems that can transform mental health care and deepen our understanding of the mind. Why Join Us? - Cutting-edge Research: Our work spans neuro-inspired AI, computational psychiatry, brain-computer interfaces, extended realities (XR), social media analysis, wearable technology, and more. - Interdisciplinary Environment: Engage with advanced neuroscience, machine learning, and cognitive science to create innovative tools for mental health and next-gen neurotechnology. - Unique Positioning: As part of Mount Sinai’s dynamic research community, we have access to extensive data resources and collaborations within a top-tier hospital network, biggest in NY, and ranked #1 in healthcare AI by Nature. We invite interested candidates with a drive to explore the frontiers of mind and machine to join us. For more details, visit linlab.org, or apply directly by emailing Dr. Baihan Lin at baihan.lin(a)mssm.edu. US (and especially NYC-based) candidates preferred, though international applicants are welcome to apply. Best, Baihan Lin, PhD Bytes of Minds Lab (Lin Lab) Departments of AI, Psychiatry, and Neuroscience Hasso Plattner Institute for Digital Health, Friedman Brain Institute, Center for Computational Psychiatry Icahn School of Medicine at Mount Sinai, New York, NY, USA baihan.lin(a)mssm.edu | linlab.org

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Invitation to EiNS Seminars: Guillermo Cecchi (IBM Research, USA) - AI Challenges for Large Longitudinal Clinical Trials in Mental Health
by Jose A. Fernandez Oct. 30, 2024

Oct. 30, 2024

Dear Comp-Neuro members, You're cordially invited to join us for the upcoming session of the “Explorations in Neuroscience Seminars” (EiNS). We are excited to feature *Guillermo Cecchi* from the *T.J. Watson Institute at IBM Research, USA*, who will be presenting on “*AI Challenges for Large Longitudinal Clinical Trials in Mental Health.*” The lecture will take place on YouTube Live on *Friday, November 15, 2024, at 3 PM (GMT-3)*. We look forward to your participation! Please note that this talk will be conducted in Spanish. Feel free to share this invitation with anyone who might be interested but isn't on our list. *Link:* https://www.youtube.com/ExactasUNCPBA/live Best wishes, *Jose A. Fernandez-Leon Fellenz*Adjunct Professor UNCPBA - Researcher CONICET CIFICEN (UNCPBA-CICPBA-CONICET) & INTIA (UNCPBA-CICPBA) Dept. of Computer Science and Systems - Exactas-UNCPBA *EMail:* jafernandez(a)intia.exa.unicen.edu.ar *Web:* https://jafphd.intia.exa.unicen.edu.ar/ *NeuroAI Lab:* https://neuro-ai-lab.intia.exa.unicen.edu.ar/ ---------------------- *Title: AI Challenges for Large Longitudinal Clinical Trials in Mental Health - * *Guillermo Cecchi (Institute T.J. Watson – IBM Research, USA)* *Abstract: *The recent experience of accelerated vaccine development under the pressure of the covid pandemic, the massive adoption of consumer electronics and the explosion of AI capabilities signal a dramatic shift in the implementation of clinical trials, which have been particularly ineffective and onerous in mental health. We will present results from ongoing and recently completed large longitudinal clinical trials for Amyotrophic Lateral Sclerosis (ALS), Chronic Pain, Prodromal Psychosis and outcomes across all mental health conditions in which massive streams of clinical data are combined with at-home ultra-high frequency digital information including smart phone use, geolocation, and semi-structured and free-form language to provide a holistic and quasi-real time assessment of the participants, and will discuss the analytic and interpretation challenges that emerge in these demanding studies. *BIO:* https://research.ibm.com/people/guillermo-cecchi *Academic background:* Guillermo Cecchi received an education in Physics (MSc, University of La Plata, Argentina, 1991), Physics and Biology (PhD, The Rockefeller University, 1994-1999), and Imaging in Psychiatry (Postdoctoral Fellow, Cornell University 2000-2001). He has been interested in diverse aspects of theoretical biology, including Brownian transport, molecular computation, spike reliability in neurons, song production and representation in songbirds, statistics of natural images and visual perception, statistics of natural language, and brain imaging. In 2001 he joined IBM Research to work on computational approaches to brain function. In recent years, Dr. Cecchi has pioneered the use of a computational linguistics approach to quantify psychiatric conditions from short speech samples, applying it successfully to conditions as diverse as schizophrenia, mania, prodromal psychosis, chronic pain, neurodegeneration, drug and alcohol intake, and psychotherapy. *Areas of research: *Dr. Cecchi directs the Computational Psychiatry and the Neuroimaging groups in IBM Research, and is Associate Director of Analytics for NIH's Advancing Medicines Partnerships - Schizophrenia. From May 2024, Dr. Cecchi is the co-Director of the PREDiCT Center for outcomes forecast across all mental health outpatients in New York City Mt Sinai hospitals (NIH U01 center grant). *About EiNS Seminars*: This online seminar series aims to go beyond the human mind to unlock intelligence across nature and machines. The talks invite a cross-disciplinary exploration of cognitive and decision-making systems, and computational linguistics from biological organisms to Artificial Intelligence. By examining the intricacies of minds embedded in physical bodies or their absence, we aim to uncover novel approaches for developing neuroscience and artificial intelligence. Join us as we delve into the fascinating world of embodied and cognitive intelligence, exploring how memory, learning, decision-making, environmental awareness, and consciousness manifest across various life forms and AI challenges. Each talk will feature captivating case studies and open dialogue, fostering a collaborative environment for generating fresh perspectives. The talks are recorded only with authorization of the speaker and are available to everybody at https://neuro-ai-lab.intia.exa.unicen.edu.ar/eins-seminars.

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Complex Networks 2024 – Program & Registration now Available!
by Hocine Cherifi Oct. 30, 2024

Oct. 30, 2024

We’re thrilled to invite you to Complex Networks 2024! The program is now live, featuring an exceptional lineup of keynote speakers, tutorials, presentations, and sessions that showcase the latest developments in complex networks. *Explore the Program:* Our diverse schedule includes thought-provoking keynotes, hands-on tutorials, oral presentations, and interactive poster and lightning sessions. You can view the full program here: [Link to All Files <https://drive.google.com/drive/folders/1gEuIWHM5NXkd75Q3fun5zuTyp-lbFu_o?us…> ]. *Key Highlights:* - *Tutorials <https://complexnetworks.org/tutorials/> on December 09:* Join specialized tutorials designed to deepen your knowledge and provide practical skills. - *Keynote Speakers <https://complexnetworks.org/keynotes/>:* Gain insights from renowned experts who will share cutting-edge perspectives on complex network research and applications. - *Program at a Glance <https://drive.google.com/file/d/1paPlcRaZmntRoToxc5Rbq8YampNlNLP2/view>* - *Poster Sessions <https://drive.google.com/file/d/1fWZkkYijpASQwZHJfCc5RtnikUwmFCCF/view>* - *Oral Sessions <https://drive.google.com/file/d/1MwPeu5RdoCPPbdp_8zmslmOfwK735ewZ/view>* - *Lightning Sessions <https://drive.google.com/file/d/12iZxpGrjcJwMCN4K6gDqkGagWFIEyjkG/view>* *Register Now:* Don’t miss the opportunity to engage with leading researchers and practitioners in the field. If you haven’t registered yet, secure your spot here: [https://complexnetworks.org/registration/] <https://complexnetworks.org/registration/> *Conference Dates and Location:* Conference will be held from December 10, 2024 to December 12, 2024 in vibrant Istanbul. In addition to the sessions, enjoy networking opportunities, including a welcome reception and a gala dinner, to foster collaboration and connection. We look forward to seeing you in Istanbul for an enriching and inspiring event! Best regards, Complex Networks 2024 Organizing Committee Join us at COMPLEX NETWORKS 2024 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

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Two PhD positions
by Phil Garner Oct. 30, 2024

Oct. 30, 2024

Dear Colleagues, The Idiap Research Institute in partnership with the Department of Mathematics at Mahidol University seek two PhD students to work on Bayesian Optimisation and training techniques for spiking neural networks. Funded by the Swiss NSF, one student will be based in Martigny in the Swiss alps, the other in Bangkok in Thailand. Exchanges between the two are planned. In addition to promising better understanding of biological processes, spiking nets have persuasive low-power implications. However, they present difficulties associated with their many hyperparameters, binary nature and non-differentiability of the emitted spikes. At Idiap, the project will build on our recent work that has shown that spiking networks are plausible solutions for speech processing tasks. The Bayesian approach will be twofold: In a first thread we will attempt to show that prior information can compensate for discontinuities in the error landscape arising from the binary nature. In a second thread, we will use Bayesian Optimisation techniques to handle the increased number of hyperparameters associated with spiking neurons. At Mahidol, the team will be responsible for designing frameworks for LPNet and neural networks to address the vehicle routing problem (VRP). The project will explore the effectiveness of these approaches in solving VRP and identify their limitations. The ultimate aim is to enhance VRP solutions through our spiking neural network (SNN) framework. The ideal student should have a master's (or equivalent) degree in engineering, computer science, physics, or mathematics. They should have a good background in mathematics, statistics, and programming (C/C++, Python, scripting languages). Candidates should have a deep understanding of ANNs and, ideally, familiarity with SNNs. For more information and to apply, for Idiap: https://careers.werecruit.io/en/idiap/offers/phd---bayesian-methods-for-spi… for Mahidol: https://mathematics.sc.mahidol.ac.th/scholarship-for-phd-in-mathematics-swi… The SNSF SPIRIT program is especially concerned with gender and identity inclusivity; we will emphasize this through the hiring process. In this sense, we particularly encourage applications from female candidates. Sincerely, -- Phil Garner http://www.idiap.ch/~pgarner

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PhD opportunity: computational neuroscience of decision-making and addiction
by mailinglists.4svr4＠simplelogin.com Oct. 29, 2024

Oct. 29, 2024

I am seeking candidates for a potential PhD project at the University of Surrey, investigating how dopamine shapes memory formation and decision-making in healthy and addictive behaviours. Essential Requirements * Strong academic background * Programming skills (or strong willingness to learn) * Advanced statistical knowledge (or strong willingness to learn) * Interest in computational neuroscience and addiction research Funding Information Through the South East Doctoral Training Arc (SEDarc), funded by the Economic and Social Research Council (ESRC), successful candidates can receive: * Full funding for UK or International students * Living stipend at UKRI rates * Access to advanced research training Previous students from our School have successfully secured these competitive studentships. However, funding is not guaranteed and depends on both the candidate's academic excellence and the strength of the research proposal. If you are interested, please send your CV to c.feherdasilva(a)surrey.ac.uk . I will be happy to discuss the project idea and guide you through the application process. Best regards, Carolina Feher da Silva Lecturer in Psychology University of Surrey Note: This opportunity is open to both UK and International students. The University of Surrey is located in Guildford, 40 minutes from central London.

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Queers in STEM social London
by Niedernhuber,Maria Oct. 29, 2024

Oct. 29, 2024

Dear all Representatives of LGBT university staff networks in London, as well as the organisation Pride in STEM, are organising a social for queer academics, focusing on STEM. Anyone is welcome. Since our social originated at a cognitive and computational neuroscience conference, queer neuroscientists are very well represented, and we hope that this will be a great opportunity to network for queer people in cognitive and computational neuroscience. This is the sign-up link: <https://www.outsavvy.com/event/23202/queers-in-stem-pub-social> https://www.outsavvy.com/event/23202/queers-in-stem-pub-social. If anyone here is interested in co-organising, please shoot me an email, and feel free to forward the sign-up link to anyone you know who might be interested. We are especially still looking for a contact person at the University of Greenwich and at Royal Holloway University of London, which are not represented in the organising team at the moment, to advertise the social in their local LGBT staff network. Feel free to email me to chat about the initiative, and how to get involved! Have a lovely week! Maria (they/them) --- Maria Niedernhuber Postdoctoral researcher in Cognitive Neuroscience Consciousness and Cognition Lab, University of Cambridge Sleep and Cognition Lab, QMUL

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[Newsletter] rTAIM Seminar #13 | Ethical Agent or Mere Tool?: A Cautioning Argument for “Moral” Artificial Intelligence in Healthcare | 30 October 2024, 15h00, Online
by steven gouveia Oct. 28, 2024

Oct. 28, 2024

rTAIM (Rebuilding Trust in AI Medicine) Monthly Seminars Seminar #13 Ethical Agent or Mere Tool?: A Cautioning Argument for “Moral” Artificial Intelligence in Healthcare Jordan Joseph Wadden (Unity Health Toronto - Canada) Following the 12th rTAIM Online Seminar (by Francesco Prinzi, University of Palermo), we are happy to announce the first seminar of this academic year 2024/2025, the 13th rTAIM Online Seminar, with the participation of Jordan Joseph Wadden (Unity Health Toronto, Canada), on the 30th October 2024, 15h00-16h30 Lisbon Time Zone, via Zoom. ONLINE | Link Zoom<https://videoconf-colibri.zoom.us/j/95294324802?pwd=Lt2o4boR0iHYWFtXvu6KdrD…> ID: 952 9432 4802 | Password: 506705 #Seminar 13: To talk of moral machines presupposes that researchers understand enough about how humans come to their own conceptions of the good. Moral epistemology and moral psychology have struggled to describe these facts and processes, and we still don’t have a generalizable conception. However, there appears to be an assumption that ethics can nonetheless be instilled directly into artificial intelligence. This is of special concern in healthcare because algorithms and systems are being designed to recommend treatments and pathways for patients. But finding the right treatment for a patient requires more than just an analysis of the medical facts. Healthcare teams must also weigh preferences, goals, psycho-social needs, religious and spiritual beliefs, quality of life, and so on. Each of these elements has a unique, and often individualized, moral element. This paper presents an argument that healthcare artificial intelligence ought to be viewed as a mere tool, rather than as a (quasi-)moral agent which could act alone in the clinical encounter. I argue that some researchers have become distracted by the AI and robot rights discussions, making them think it’s possible to code ethics into a system when humans still don’t understand how we come to believe our own moral beliefs. Short Bio: Jordan Joseph Wadden, MA, PhD, HEC-C, is a clinical ethicist at Unity Health Toronto in Canada. He is an assistant professor (status only) in the Department of Family and Community Medicine at the University of Toronto. His research focuses on the ethical implementation of artificial intelligence and machine learning in healthcare. He was the winner of the 2024 Ethics of AI Award at the 3rd International Conference on the Ethics of Artificial Intelligence. rTAIM Seminars: https://ifilosofia.up.pt/activities/rtaim-seminars https://trustaimedicine.weebly.com/rtaim-seminars.html Organisation: Steven S. Gouveia (MLAG/IF) Mind, Language and Action Group (MLAG) Instituto de Filosofia da Universidade do Porto – UIDB/00502/2020 Fundação para a Ciência e a Tecnologia (FCT) ____________________________________________ Instituto de Filosofia (UI&D 502) Faculdade de Letras da Universidade do Porto Via Panorâmica s/n 4150-564 Porto Tel. 22 607 71 80 E-mail: ifilosofia(a)letras.up.pt<mailto:ifilosofia@letras.up.pt> http://ifilosofia.up.pt/

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NIH-funded Post-doctoral fellowship - spatial navigation, gait, mobility, EEG, MRI, virtual reality - in biomedical engineering at the University of Florida
by Steve Weisberg Oct. 28, 2024

Oct. 28, 2024

A postdoctoral researcher position studying electrocortical activity during human navigation is available in the laboratory of Dr. Daniel Ferris ( https://faculty.eng.ufl.edu/human-neuromechanics-laboratory) This position is for an initial one-year appointment, and has the potential to be renewed for three additional years based on performance and funding availability. https://explore.jobs.ufl.edu/cw/en-us/job/533572/postdoc Join a team studying age- and ADRD-related changes in gait and navigation, including Rachael Seidler, Dan Ferris, and Steve Weisberg. -- --------------------------------------------- *Steven M. Weisberg, PhD * Pronouns: he/him/his Assistant Professor of Psychology University of Florida Director: SCANN Lab <http://scannlab.psych.ufl.edu>

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[comp-neuro] job advertisement | 1 fully funded PhD position (E13) | Application deadline: Nov.18, 2024
by Daniel Schmid Oct. 28, 2024

Oct. 28, 2024

Vacancy for dissertation/PhD project *Learning Search and Decision Mechanisms in Medical Diagnosis* We are looking for a new PhD student for a fully funded interdisciplinary research project investigating the computational mechanisms underlying the perceptual processes in medical imaging. *Brief project description and goals* Medical experts routinely screen images for signs of abnormality indicative of a disease. Experimental evidence shows that these experts, based on their training, are able to make a diagnose above chance level even after screening images for only a few seconds. Such visual inspection utilizes global ensemble scene statistics, or “scene gist”, to provide contextual guidance information. The goal of the PhD project is to investigate how such global, contextual gist information can be computed and incorporated in machine vision approaches, such as deep neural networks for natural or medical image processing. In particular, a goal is to develop neural mechanisms that can be integrated into existing pre-trained CNNs to compute scene gist for rapid global decision-making and contextual guidance in medical images. Such mechanisms should explain how such global feature compositions are learned to increase the classification specificity and, at the same time, do not equip an observer with the ability to precisely localize such feature compositions indicative of the evidence. At the implementation level, computational units (neurons) in hierarchical CNN architectures will be extended by integrating local bottom-up feature extraction mechanisms with top-down modulatory contextual fields. We focus on these mechanisms to learn the integration of information streams in counter-stream networks by employing novel two-point information integration units inspired by recent findings from neuroscience. These investigations will contribute to develop novel CNN architectures by integrating feedforward and feedback data streams that operate at different spatio-temporal scales and feature types inspired by computational mechanisms in biological vision. The combined global and local information is expected to provide more detailed explanations on a mechanistic level how radiologists steer their attention and search capacities and learn to improve such skills. *Requirements* - MSc degree in Computer Science, Engineering, Physics, Mathematics, Cognitive Systems/Science or equivalent relevant background - Experience in computational vision, neural networks, machine learning; with strong mathematical/physics foundation - Experience in developing biologically inspired models – or interested in learning how to develop such mechanisms and models - Experience in analysis of large data and evaluation of results - Strong coding skills - Personal skills: working in a team, but should be able to work independently, is strongly focused and enthusiastic about the project theme, is self-motivated and takes responsibility for reaching milestones - Experience and talent in scientific writing (with proficient written & oral English) *Contact & application* The project is part of the newly founded research training group “KEMAI” that focuses on integrating knowledge and learning based approaches for better medical AI (https://kemai.uni-ulm.de/ for more information). The offered PhD position is fully funded (E13 salary) and also benefits from an interdisciplinary setting, the ability to connect with peers from related projects and a clearly structured PhD program. Application materials are expected until November 18, 2024. They should contain a CV, statement of research interest and background in relation to the KEMAI training group and project theme C2. A cover letter should inform about the expected date of availability and name of two referees. Submit your application via the KEMAI website (preferred) or to Prof. Heiko Neumann (heiko.neumann(a)uni-ulm.de) or reach out for more information. Best regards, Daniel Schmid -- Daniel Schmid, M.Sc. Institute of Neural Information Processing Faculty of Engineering, Computer Science and Psychology Ulm University James-Frank-Ring D-89081 Ulm Germany e-mail: daniel-1.schmid(a)uni-ulm.de

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Justin Wood speaking on November 12 in Developing Minds global online lecture series
by Jochen Triesch Oct. 28, 2024

Oct. 28, 2024

Dear colleagues, On November 12, the Developing Minds global online lecture series is proud to host Justin Wood from Indiana University Bloomington, USA, speaking on: "Radical empiricism: The origins of knowledge as a mini-evolution“ Tuesday, November 12, 2024 9:00 am EST (Eastern Standard Time, US) 14:00 UTC (Universal Coordinated Time) 15:00 CET (Central European Time) 23:00 JST (Japan Standard Time) The zoom link/credentials are: https://uni-frankfurt.zoom-x.de/j/62980753356?pwd=0J6BtOaAy20YyanXX1gpkB3Ta… Meeting-ID: 629 8075 3356 Kenncode: 904159 Abstract: What are the origins of knowledge? A common theoretical strategy is to isolate core primitives of the mind, such as systems for reasoning about objects, space, number, agents, and language. The problem with this strategy is it disconnects brain development from general fitting principles that underlie chemistry, evolution, culture, and artificial intelligence. I argue that development can be understood as a “mini-evolution,” in which core mental skills are the products of generic evolution-like fitting processes. In evolution, life started from scratch, and species emerged as DNA adapted to the world via blind fitting. Likewise, in development, knowledge starts from scratch, and mental skills emerge as individual brains adapt to the world via blind fitting. Historically, the main roadblock for testing fitting theories has been the lack of benchmarks and models for measuring whether fitting models learn like brains. To directly compare learning across brains and models, both must be trained with the same data and tested on the same tasks. We propose a solution—called “Newborn Embodied Turing Tests” (NETTs)—in which newborn animals and fitting models are reared in the same environments and tested with the same tasks. I’ll describe a series of NETTs showing that generic fitting models (transformers) develop many core mental skills, including orientation selectivity, visual binding, shape-based vision, invariant object recognition, imprinting, collective behavior, and social preferences. These skills develop spontaneously when generic fitting models fit to prenatal and postnatal experiences. There is no need to postulate mysterious core primitives to explain the rapid development of domain-specific knowledge. Rather, core knowledge can be the product of generic fitting machinery: a radical empiricist view of the origins of knowledge. This mini-evolution view unifies chemistry, evolution, development, culture, and artificial intelligence under a common fitting framework, with shared general principles. Short Bio: Justin Wood is an Associate Professor of Informatics at Indiana University Bloomington. He is affiliated with programs in Animal Behavior, Neuroscience, Cognitive Science, and Psychological & Brain Sciences. He received his B.A. from University of Virginia and M.S. & Ph.D. from Harvard University. Dr. Wood has studied the psychological abilities of a range of populations, including human adults, children, infants, chimpanzees, wild monkeys, starlings, and newborn chicks. He works at the intersection of developmental psychology, neuroscience, virtual reality, and artificial intelligence to characterize the origins and computational foundations of intelligence. The talk will be recorded and made available for later viewing. For more information on the talk series and recordings of previous events, please visit: https://sites.google.com/view/developing-minds-series/home Best regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

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Join Us for the Statistical Physics of Cognition Workshop – Institute of Physics, London
by Rajpal, Hardik Oct. 25, 2024

Oct. 25, 2024

Dear Colleagues, We are excited to announce that the Statistical Physics of Cognition workshop will take place on the 25th and 26th of November 2024 at the Institute of Physics, King's Cross, London. This workshop will explore the intersection of physics and neuroscience to better understand cognition, bringing together leading researchers from various disciplines, including statistical mechanics, network science, self-organized criticality, information theory, and more. The programme for the workshop is now live and can be viewed here: https://iop.eventsair.com/spc2024/programme. While registrations open next week, we invite those interested in attending to fill out an expression of interest form in advance: https://iop.eventsair.com/spc2024/registration We especially encourage PhD students and Early Career Researchers to participate by submitting abstracts for poster presentations. This is a great opportunity to present your research, receive feedback from leading experts, and engage in exciting discussions. * Abstract submission deadline: 31st October 2024 * Submit your abstract here: https://iop.eventsair.com/spc2024/abstract-submission We look forward to welcoming you to what promises to be a thought-provoking event at the frontier of cognitive science and physics. Please feel free to share this announcement with your colleagues, students, and networks. If you have any questions, don’t hesitate to reach out. Best regards, Hardik Rajpal Research Associate Organizing Committee, Statistical Physics of Cognition Workshop Imperial College London

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World wide VVTNS series: Fifth season opening lecture, Wednesday, October 30, 2024, at 11:00 am EDT
by David Hansel Oct. 25, 2024

Oct. 25, 2024

*Important:* The seminar is at 11 am *EDT* Daylight saving time ends on Sunday, November 3, 2024 In Europe it ends on Sunday October 27, 2024 [image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the fifth season opening lecture of the online VVTNS series *Karel Svoboda* Allen Institute on the topic of *Illuminating synaptic learning* The lecture will be held on zoom on October 30, 2023, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *How do synapses in the middle of the brain know how to adjust their weight to advance a behavioral goal (i.e. learning)? This is referred to as the synaptic ‘credit assignment problem’. A large variety of synaptic learning rules have been proposed, mainly in the context of artificial neural networks. The most powerful learning rules (e.g. back-propagation of error) are thought to be biologically implausible, whereas the widely studied biological learning rules (Hebbian) are insufficient for goal-directed learning. I will describe ongoing work focused on understanding synaptic learning rules in the cortex in a brain-computer interface task. ᐧ -- *Il n'y a ni obligation ni pression à traiter ou répondre à ce mail en dehors des heures de travail* "В каждой шутке есть доля шутки" '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 Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 *CONFIDENTIALITY AND PRIVACY NOTICE:* *This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction.* ᐧ

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Software developer at Okinawa Institute of Science and Technology
by Erik De Schutter Oct. 25, 2024

Oct. 25, 2024

The Computational Neuroscience unit (https://www.oist.jp/research/research-units/cnu) at the Okinawa Institute of Science and Technology, Japan has an opening for a postdoctoral researcher or technician to contribute to the software development of the nanoscale simulator of neuronal electrophysiology and molecular properties STEPS https://steps.sourceforge.net/STEPS/default.php. Initial duration is two years with an option to extend. The software developer will join the STEPS team and contribute to maintenance and further expansion of the software capacities. Recent versions of STEPS improved its parallel performance (http://www.frontiersin.org/articles/10.3389/fninf.2022.883742/full) and added modeling of vesicles (https://www.nature.com/articles/s42003-024-06276-5) The ideal candidate will have a scientific background but also possess good programming skills, but experienced software engineers can also apply. Competences: For the postdoctoral position a recent PhD is required in a relevant discipline such as neuroscience, molecular biology, biophysics, biochemistry, and for a technician a masters degree is required in a software/computer science related discipline. For either position, we require a talented programmer with experience in C++ and Python. In satisfying these criteria, it is expected that the candidate has some experience of modeling neuronal or other biological processes computationally, but this is not essential if the candidate has a strong enough interest in moving into the field. Fluent English conversation and writing skills are required. Benefits / Offer: A competitive salary and relocation package are offered. This an ideal position to gain experience in a prominent computational neuroscience lab. Contributions of technicians are honored by authorship on relevant publications. Please contact Prof. Erik De Schutter (erik(a)oist.jp) for inquiries.

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Computational Psychology or Neuroscience Assistant Professor Position at the University of Arizona
by Cowen, Stephen Leigh - (scowen) Oct. 22, 2024

Oct. 22, 2024

Hello everyone, The University of Arizona Psychology Department is hiring a tenure-track Assistant Professor in computational psychology, computational cognitive science, and/or computational neuroscience. A complete description of the position can be found below. We are looking for an individual with expertise and a publication history in domains such as modeling complex systems and behavior using approaches such as deep learning, machine learning, Bayesian methods, artificial neural networks, reinforcement learning, dynamic systems modelling, network analysis, and large language models. Preference will be given to applicants with the potential to collaborate across disciplines in Cognitive Science and Psychology. See the full posting and apply using the following link: https://arizona.csod.com/ux/ats/careersite/4/home/requisition/20668?c=arizo… The first batch of applications will be reviewed on Nov. 12. Applications will be accepted until the position is filled. Best, Stephen ------------------------------------------ Stephen Cowen, Ph.D. Associate Professor, Psychology Evelyn F. McKnight Brian Institute Interim Director: Cognition and Neural Systems Graduate interdisciplinary member: Neuroscience, Physiological Sciences, Applied Biosciences, and Cognitive Science The University of Arizona Life Sciences North, Rm 347 1501 N. Campbell Ave. Tucson, AZ 85724-5115 520-626-2615

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Re: Some scientific history that I experienced relevant to the recent Nobel Prizes to Hopfield and Hinton
by Grossberg, Stephen Oct. 22, 2024

Oct. 22, 2024

Dear Comp-neuro colleagues, Here are some short summaries of the history of neural network discoveries, as I experienced it, that are relevant to the recent Nobel Prizes to Hopfield and Hinton: ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++THETHE THE NOBEL PRIZES IN PHYSICS TO HOPFIELD AND HINTON FOR MODELS THEY DID NOT DISCOVER: THE CASE OF HOPFIELD Here I summarize my concerns about the Hopfield award. I published articles in 1967 – 1972 in the Proceedings of the National Academy of Sciences that introduced the Additive Model that Hopfield used in 1984. My articles proved global theorems about the limits and oscillations of my Generalized Additive Models. See sites.bu.edu/steveg<http://sites.bu.edu/steveg> for these articles. For example: Grossberg, S. (1971). Pavlovian pattern learning by nonlinear neural networks. Proceedings of the National Academy of Sciences, 68, 828-831. https://lnkd.in/emzwx4Tw This article illustrates that my mathematical results were part of a research program to develop biological neural networks that provide principled mechanistic explanations of psychological and neurobiological data. Later, Michael Cohen and I published a Liapunov function that included the Additive Model and generalizations thereof in 1982 and 1983 before Hopfield (1984) appeared. For example, Cohen, M.A. and Grossberg, S. (1983). Absolute stability of global pattern formation and parallel memory storage by competitive neural networks. IEEE Transactions on Systems, Man, and Cybernetics, SMC-13, 815-826. https://lnkd.in/eAFAdvbu I was told that Hopfield knew about my work before he published his 1984 article, without citation. Recall that I started my neural networks research in 1957 as a Freshman at Dartmouth College. That year, I introduced the biological neural network paradigm, as well as the short-term memory (STM), medium-term memory (MTM), and long-term memory (LTM) laws that are used to this day, including in the Additive Model, to explain data about how brains make minds. See the review in https://lnkd.in/gJZJtP_W . When I started in 1957, I knew no one else who was doing neural networks. That is why my colleagues call me the Father of AI. I then worked hard to create a neural networks community, notably a research center, academic department, the International Neural Network Society, the journal Neural Networks, multiple international conferences on neural networks, and Boston-area research centers, while training over 100 gifted PhD students, postdocs, and faculty to do neural network research. See the Wikipedia page. That is why I did not have time or strength to fight for priority of my models. Recently, I was able to provide a self-contained and non-technical overview and synthesis of some of my scientific discoveries since 1957, as well as explanations of the work of many other scientists, in my 2021 Magnum Opus Conscious Mind, Resonant Brain: How Each Brain Makes a Mind https://lnkd.in/eiJh4Ti ++++++++++++++++++++++++++++++++++++++++++++++++++++ THE NOBEL PRIZES IN PHYSICS TO HOPFIELD AND HINTON FOR MODELS THEY DID NOT DISCOVER: THE CASE OF HINTON Here I summarize my concerns about the Hinton award. Many authors developed Back Propagation (BP) before Hinton; e.g., Amari (1967), Werbos (1974), Parker (1982), all before Rumelhart, Hinton, & Williams (1986). BP has serious computational weaknesses: It is UNTRUSTWORTHY (because it is UNEXPLAINABLE). It is UNRELIABLE (because it can experience CATASTROPHIC FORGETTING. It should thus never be used in financial or medical applications. BP learning is also SLOW and uses non-biological NONLOCAL WEIGHT TRANSPORT. See Figure, right column, top. In 1988, I published 17 computational problems of BP: https://lnkd.in/erKJvXFA BP gradually grew out of favor because other models were better. Later, huge online databases and supercomputers enabled Deep Learning to use BP to learn. My 1988 article contrasted BP with Adaptive Resonance Theory (ART) which I first published in 1976: https://lnkd.in/evkfq22G See Figure, right column, bottom. ART never had BP’s problems. ART is now the most advanced cognitive and neural theory that explains HOW HUMANS LEARN TO ATTEND, RECOGNIZE, and PREDICT events in a changing world. ART also explains and simulates data from hundreds of psychological and neurobiological experiments. In 1980, I derived ART from a THOUGHT EXPERIMENT about how ANY system can AUTONOMOUSLY learn to correct predictive errors in a changing world: https://lnkd.in/eGWE8kJg The thought experiment derives ART from a few facts of life that do not mention mind or brain. ART is thus a UNIVERSAL solution of the problem of autonomous error correction in a changing world. That is why ART models can be used in designs for AUTONOMOUS ADAPTIVE INTELLIGENCE in engineering, technology, and AI. ART also proposes a solution of the classical MIND-BODY PROBLEM: HOW, WHERE in our brains, and WHY from a deep computational perspective, we CONSCIOUSLY SEE, HEAR, FEEL, and KNOW about the world, and use our conscious states to PLAN and ACT to realize VALUED GOALS. For details, see Conscious Mind, Resonant Brain: How Each Brain Makes a Mind https://lnkd.in/eiJh4Ti +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

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[Deadline Nov. 1st][Call for Data & Papers] 2nd International Whole Brain Architecture Workshop (Feb. 24th, 2025)
by Hiroshi Yamakawa Oct. 22, 2024

Oct. 22, 2024

Dear Colleagues, << Abstract submission site is now open; data paper templates are available! >> We are pleased to announce the Second International Whole Brain Architecture Workshop, building on the remarkable success of our inaugural event. (The first online workshop, held in July 2024, attracted over 100 participants and generated significant enthusiasm in the field.) This second workshop will be held on February 24th, 2025 ( https://wba-initiative.org/en/24521/ ). Registration for presentations opens on October 20th, 2024, and we eagerly anticipate your submissions of BRA data. About This Workshop: The development of brain-inspired artificial intelligence, which aims to understand and simulate the computational functions of the brain, is a promising approach to reproducing human-like problem-solving abilities. This ambitious goal requires knowledge from diverse research fields, including neuroscience and cognitive science. Given the vast amount of knowledge needed, it is crucial to accumulate and share standardized design information as open knowledge. This workshop serves as a platform for cooperation and sharing of standardized design information (BRA data) essential for developing brain-inspired AI. Additionally, it provides an opportunity to enhance the academic value of submitted datasets through expert discussions and peer review. Why Participate: • Contribute to the cutting-edge field of brain-inspired AI • Share your research with a global audience of experts • Gain insights from interdisciplinary discussions • Potential for your work to be published on the BRA Editorial System (BRAES) https://ggle.io/6ybj • Access to standardized data paper templates to ensure high-quality submissions We invite submissions of BRA data and accompanying papers. Accepted data and papers will be published on BRAES, with paper DOIs shared on the workshop program page. We believe that this sharing and integration of brain-inspired AI design information will significantly advance the field. Date and Location (hybrid): • Date: February 24th, 2025 (Monday) • Venue: Tokyo, Japan (on-site) and online (details TBA) Important Dates: • BRA Data submission opens: October 20th, 2024 (JST) • Paper abstract submission deadline: November 1st, 2024 (JST) • BRA Data submission deadline: December 20th, 2024 (JST) • Full Paper submission deadline: January 4th, 2025 (JST) • Completed BRA Data submission deadline: January 4th, 2025 (JST) • Paper notification: January 24th, 2025 (JST) New Updates: The submission site for data paper abstracts is now open and accessible at https://ggle.io/79e3 The data paper template is now available for download at https://ggle.io/79e5 For detailed submission guidelines, please visit: https://wba-initiative.org/en/24521/ We look forward to welcoming you and your colleagues to present data and papers and to engage in stimulating discussions that will shape the future of brain-inspired AI. If you have any questions, please don't hesitate to contact the Workshop organizers at bra-support(a)wba-initiative.org. Join us in advancing the frontier of brain-inspired artificial intelligence! Best regards, BRA Support Team

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[Jobs] Postdoc Available in Theoretical Neuroscience
by Michael Furlong Oct. 21, 2024

Oct. 21, 2024

Job Ad – Postdoctoral Researcher in Theoretical Neuroscience Prof Chris Eliasmith, who holds the Canada Research Chair in Theoretical Neuroscience and heads the Computational Neuroscience Research Group (CNRG) in the Centre for Theoretical Neuroscience (CTN) at the University of Waterloo, is seeking a postdoctoral researcher in Theoretical Neuroscience for a fixed-term appointment. Description: The postdoctoral position will be hosted in the CNRG, with a principal focus on neural modeling to build the next version of the Spaun brain model, the world’s largest functional brain model. The project integrates spiking deep neural networks, motor control, probabilistic inference, navigation, perception and cognition to develop a state-of-the-art, large-scale, spiking, whole-brain model. Applicants should have a PhD, with demonstrated skills in at least one of those areas and a willingness to learn about the others. This project leverages the CNRG’s existing expertise in using neural networks for large-scale brain modeling, originally demonstrated in 2012 with the first version of Spaun. A subsequent version in 2018 significantly extended performance. The latest version currently being built by the CNRG will again break new barriers in the scale and sophistication of whole brain models. Unlike past models, it will be embedded in a sophisticated 3D environment, yet retain the ability to perform a wide variety of tasks, from simple perceptual and motor tasks to challenging intelligence tests. Overall, the long-term goal of the project is to advance the state-of-the-art in large-scale brain models. Additional Information: The successful applicant will be housed in the vibrant Centre for Theoretical Neuroscience (CTN), which includes 7 core and 7 affiliated labs focussed on neural modeling and improving our basic understanding of neural computation. The CTN hosts monthly seminars, a yearly ‘Brain Day’ event, a summer school, and regular social activities. The position is for a fixed term of one year, eight months, with extensions contingent on performance and securing additional funding. Salary is $45,000 - 65,000 CAD per year. To apply, please send a full CV, 3 references and cover letter explaining your background and fit for the job to: Dr. Chris Eliasmith at celiasmith(a)uwaterloo.ca.

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Re: "Experienced" history of Neural Networks
by James Bower Oct. 21, 2024

Oct. 21, 2024

opps, Here is the post with a spelling error corrected. Thank you Jim Being historical myself, I thought I might be appropriate for me to respond briefly to Stephen Grossberg’s recent personal recounting and retelling of history. To Witt, I sometimes, for fun, refer to myself as the pet neurobiologist in the early days of the neural network movement. Here is a recent semi-autobiographical (and thus of course certainly somewhat biased) account of those early days I was recently asked to write, which includes how the CNS meeting (as well as this mailing list) emerged from those days. https://www.researchgate.net/publication/365925517_NIPS_NeurIPS_and_Neurosc… (PDF) (NIPS) NeurIPS and Neuroscience: A personal historical perspective researchgate.net https://www.researchgate.net/publication/365925517_NIPS_NeurIPS_and_Neurosc… Not included in that account where the other abundant political circumstances surrounding the re-emergence of neural networks, including for example, the revelry between the NIPS meeting and the “International Neural Network Society” and their annual meeting referred to in Stephen Grossberg’s recent post. Any equally interesting conflict I witnessed first hand (with no horse in the race), which even at that time was full of similar claims of precedence. I could tell that story too, but instead, I will simply say that Stephen's recent posting made me a bit nostalgic for the days when you were either were in the “email from Stephen claiming prescience club” or not - I thankfully never was. Anyway, for those interested, from my understanding I think this is a pretty good and balanced history of neural networks. https://en.wikipedia.org/wiki/History_of_artificial_neural_networks https://en.wikipedia.org/wiki/History_of_artificial_neural_networks What should be clear from that history, and as also mentioned by Stephen, much of the algorithmic basis for ‘machine learning’ today are based on work done many years ago and therefore that most of the recent innovation in the field is not algorithmic but implementation, given faster and faster computers, cheaper and cheaper memory, and massive amounts of data. Given that, very tricky to assign ‘father or’ or for that matter ‘godfather of’ either. :-) In that light however, one other thing to say, which I could say a lot more about - as will almost certainly be clear in John Hopfield’s Nobel lecture, John was never much interested in the AI implications of his work. From the time I meet him through the rest of his career, he was focused on using the tools he had as a condensed matter physicist to explore questions in biology. In my experience at the time, John was almost uniquely committed to actually understanding the biology, rather than simply imposing his will upon it. That said, there is no question and as I witnessed it myself, publication of “The Hopfield Network” in 1981, re-ignited interest in an approach to AI that had been strongly resisted by the dons of the field at that time, precisely because it was not “explainable” in the then desired sense. Put another way, the role of the engineer in self-learning networks was not to impose their own predisposed assumptions about how to solve a particular problem (sometimes then, unfortunately extended to claims about how the nervous system works), but instead to construct a system that found a solution to the problem. Because of its success machine learning has now become the dominant paradigm in real world AI. But, it is now also increasingly being used as a tool to understand the brain. Too long a discussion for that here, but I have serious concerns about those efforts. In fact, I am giving at talk this week at the University of Oregon on a recent example in the neurobiology of olfaction. It is being webcast, so if anyone is interested, email me and I can send you the URL. In summary then, there is no question in my mind that John Hopfield’s contribution was unique and deserving of the acclaim he is now receiving - but I have to say I feel even better about his award because he never sought it, or expected it, or campaigned to get it, and in fact, is being rewarded for a consequence of his work that was never the real focus of his efforts. Good for you John. Respectfully, Jim Bower Dr. James M. Bower Ph.D. 541-499-7502 Simulating a 17th century landed gentry scientist. Also: Affiliate Professor of Biology Southern Oregon University Visiting Professor of Computational Neuroscience Biocomputation Research Group School of Physics, Engineering and Computer Science University of Hertfordshire, UK Linked in <https://www.linkedin.com/in/james-m-bower-130163/> Wikipedia <https://en.wikipedia.org/wiki/James_M._Bower> > On Oct 21, 2024, at 11:10 AM, James Bower <bowerj(a)sou.edu> wrote: > > Being historical myself, I thought I might be appropriate for me to respond briefly to Stephen Grossberg’s recent personal recounting and retelling of history. > > To Witt, I sometimes, for fun, refer to myself as the pet neurobiologist in the early days of the neural network movement. > > Here is a recent semi-autobiographical (and thus of course cretainly somewhat biased) account of those early days I was recently asked to write, which includes how the CNS meeting (as well as this mailing list) emerged from those days. > > https://www.researchgate.net/publication/365925517_NIPS_NeurIPS_and_Neurosc… > > Not included in that account where the other abundant political circumstances surrounding the re-emergence of neural networks, including for example, the revelry between the NIPS meeting and the “International Neural Network Society” and their annual meeting referred to in Stephen Grossberg’s recent post. > > Any equally interesting conflict I witnessed first hand (with no horse in the race), which even at that time was full of similar claims of precedence. > > I could tell that story too, but instead, I will simply say that Stephen's recent posting made me a bit nostalgic for the days when you were either were in the “email from Stephen claiming prescience club” or not - I thankfully never was. > > Anyway, for those interested, from my understanding I think this is a pretty good and balanced history of neural networks. > > https://en.wikipedia.org/wiki/History_of_artificial_neural_networks > > What should be clear from that history, and as also mentioned by Stephen, much of the algorithmic basis for ‘machine learning’ today are based on work done many years ago and therefore that most of the recent innovation in the field is not algorithmic but implementation, given faster and faster computers, cheaper and cheaper memory, and massive amounts of data. Given that, very tricky to assign ‘father or’ or for that matter ‘godfather of’ either. :-) > > In that light however, one other thing to say, which I could say a lot more about - as will almost certainly be clear in John Hopfield’s Nobel lecture, John was never much interested in the AI implications of his work. From the time I meet him through the rest of his career, he was focused on using the tools he had as a condensed matter physicist to explore questions in biology. In my experience at the time, John was almost uniquely committed to actually understanding the biology, rather than simply imposing his will upon it. > > That said, there is no question and as I witnessed it myself, publication of “The Hopfield Network” in 1981, re-ignited interest in an approach to AI that had been strongly resisted by the dons of the field at that time, precisely because it was not “explainable” in the then desired sense. Put another way, the role of the engineer in self-learning networks was not to impose their own predisposed assumptions about how to solve a particular problem (sometimes then, unfortunately extended to claims about how the nervous system works), but instead to construct a system that found a solution to the problem. > > Because of its success machine learning has now become the dominant paradigm in real world AI. But, it is now also increasingly being used as a tool to understand the brain. Too long a discussion for that here, but I have serious concerns about those efforts. In fact, I am giving at talk this week at the university of oregon on a recent example in the neurobiology of olfaction. > > It is being webcast, so if anyone is interested, email me and I can send you the URL. > > In summary then, there is no question in my mind that John Hopfield’s contribution was unique and deserving of the acclaim he is now receiving - but I have to say I feel even better about his award because he never sought it, or expected it, or campaigned to get it, and in fact, is being rewarded for a consequence of his work that was never the real focus of his efforts. > > Good for you John. > > > Respectfully, > > Jim Bower > > > > > > Dr. James M. Bower Ph.D. > > 541-499-7502 > > Simulating a 17th century landed gentry scientist. > > Also: > > Affiliate Professor of Biology > Southern Oregon University > > Visiting Professor of > Computational Neuroscience > Biocomputation Research Group > School of Physics, Engineering and Computer Science > University of Hertfordshire, UK > > Linked in <https://www.linkedin.com/in/james-m-bower-130163/> > > Wikipedia <https://en.wikipedia.org/wiki/James_M._Bower> > > > > >

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Arduino for Neuroscience Workshop, Brighton, Nov 20-22th
by Mateusz Kostecki Oct. 21, 2024

Oct. 21, 2024

Hello! We are happy to announce the first Cambridge Open Lab Workshop, organised in collaboration with the Open Research Technologies Hub. Learn how to apply Arduino in your research! Arduino is a powerful device that you can use to build and program thousands of devices – from weather stations, through smart house applications to drones and robots. It has also recently became a powerful tool used in laboratory – you can use it to control lasers, build automated mazes or stimulus delivery systems for behavioural experiments – and much more. It is easy to learn and doesn’t require previous experience with programming. During our workshop, you will learn everything you need to start building your own devices. We will guide you through the topics ranging from basic electronics, diodes, trough motors and servos to sensors of all types. You will learn how to use Arduino to control different research devices and synchronize them! After the workshop, you will be able to write complex Arduino programs and have a knowledge of electronics that will allow you to design devices used in your lab. Topics: - Basic electronics – from electrons to laws - Controlling devices with Arduino – diodes, motors, servos - Writing code to control lasers in optogenetic experiments - Synchronizing devices with Arduino - Sensing environment – light, temperature, and distance sensors - Wireless communication - Writing complex code in Arduino The workshop will take place at University of Sussex Library, Brighton, Nov 20-22 2024 from 9 AM to 6 PM. The cost of the workshop is GBP 150. Registration form can be found here - https://nenckiopenlab.org/arduino-cam/. The deadline for registration is Oct 30th. Best, Mateusz Kostecki -- --- Mateusz Kostecki PhD Student Knapska Laboratory Nencki Institute 02-093 Warsaw, Pasteura 3, Poland https://twitter.com/mtkostecki https://evolvingbehavior.blog/

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COSYNE 2025: Abstract submission closes soon; Cosyne DEIA Committee
by Tomas Hromadka Oct. 20, 2024

Oct. 20, 2024

==================================================== Computational and Systems Neuroscience 2025 (Cosyne) MAIN MEETING 27 March - 30 March 2025 Montreal, Canada WORKSHOPS 31 March - 01 April 2025 Mont-Tremblant, Canada www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission is now open. Abstract submission deadline: 23 October 2024 11:59pm PST ---------------------------------------------------- COSYNE MEETING & WORKSHOPS ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ---------------------------------------------------- COSYNE DEIA COMMITTEE ---------------------------------------------------- Join our 2025 DEIA Committee for @CosyneMeeting!!! The Cosyne DEIA Committee is dedicated to fostering inclusivity. We’re seeking 4 new members to contribute to the planning of the 2025 conference and drive inclusive practices. All career stages are encouraged to join (e.g., faculty, postdocs, and graduate students). For questions, contact the committee co-chairs, Luke Sjulson (@lukesjulson, luke [at] sjulsonlab.org) or Denise Cai (@denisejcai, denisecai [at] gmail.com) The application deadline is 15 November 2024. Join us and make a lasting impact—apply today! https://forms.gle/gqSNuZj2Cb68UevN9 ----------------------------------------------------- COSYNE 2025 COMMITTEES ----------------------------------------------------- ORGANIZING COMMITTEE General Chairs: Bing Brunton (U Washington) and Chandramouli Chandrasekaran (Boston U) Program Chairs: Tatiana Engel (CSHL) and Kevin Franks (Duke) Workshop Chairs: SueYeon Chung (NYU) and Guillaume Lajoie (MILA/U Montreal) Tutorial Chair: Talmo Pereira (Salk) DEIA Committee: Denise Cai (Mount Sinai) and Luke Sjulson (Albert Einstein) Undergraduate Travel Chairs: Kimberly Stachenfeld (DeepMind) and Marcelo Mattar (NYU) Fundraising Chair: Michael Long (NYU) Social Media Chair: Sabera Talukder (Caltech) Audio-Video Media Chair: Carlos Stein Brito (Chamaplimaud) Poster Design: Maja Bialon PROGRAM COMMITTEE Tatiana Engel (CSHL) Co-chair Kevin Franks (Duke) Co-chair Mikio Aoi (UCSD) Arkarup Banerjee (CSHL) Marcus Benna (UCSD) Adrian Bondy (Princeton) Timothy Buschman (Princeton) Celine Cammarata (Duke) Alex Cayco Gajic (Ecole Normale Superieure) Hannah Choi (Gatech) Benjamin Cowley (CSHL) Carina Curto (Brown) Brian DePasquale (Boston U) Sridhar Devarajan (Indian Inst Sci) Laura Driscoll (Stanford) Ann Duan (UCL) Lea Duncker (Stanford) Annegret Falkner (Princeton) Arseny Finkelstein (Tel Aviv U) Rainer Friedrich (Friedrich Miescher Institute) Juan Gallego (Imperial) Matthew Golub (U Washington) Bilal Haider (Georgia Tech) Kiah Hardcastle (Harvard) Ann Hermundstad (Janelia) Michele Insanally (U Pitt) Monika Jadi (Yale) Jonathan Kao (UCLA) Kohitij Kar (York U) Ann Kennedy (Northwestern) Guillaume Lajoie (MILA) Anna Levina (U Tubingen) Laura Lewis (MIT) Camilo Libedinsky (National U Singapore) Ashok Litwin-Kumar (Columbia) Laureline Logiaco (MIT) Emily Mace (Max Planck) Francesca Mastrogiuseppe (Champalimaud) Luca Mazzucato (U Oregon) Jorge Mejias (U Amsterdam) Jonathan Michaels (York U) Eilif Muller (U Montreal) James Murray (U Oregon) Hendrikje Nienborg (NIH) Gouki Okazawa (Chinese Acad Sci) Marino Pagan (U Edinburgh) Hannah Payne (Columbia) Talmo Pereira (Salk) Erin Rich (Mount Sinai) Ben Scott (Boston U) Nicholas Steinmetz (U Washington) Carsen Stringer (HHMI) Marie Suver (Vanderbilt) Tatjana Tchumatchenko (U Bonn) John Tuthill (U Washington) Ali Weber (Bryn Mawr) Brady Weissbourd (MIT) Alex Williams (NYU) Klaus Wimmer (CRM) Brad Wyble (Penn State) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Anne-Marie Oswald (U Pittsburgh) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ----------------------------------------------------- COSYNE MAILING LISTS ----------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> About-> Mailing lists for details.

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Post-doctoral Fellow Position available in National University of Singapore
by sc.phua＠nus.edu.sg Oct. 19, 2024

Oct. 19, 2024

Postdoctoral Fellow Position in the Neuron Signaling Laboratory, NUS, Singapore We are actively seeking a Postdoctoral Fellow to join us in the following project (This position will be co-supervised with a PI from the Biomedical Engineering Department): Investigating a transcriptional role of primary cilia in striatal neural computation mediating cognitive flexibility Qualifications: The candidate should hold or is going to obtain a PhD in one of the disciplines below: - Biomedical engineering, systems neuroscience, computational neuroscience or related fields. - At least one first-author research publication in a peer-reviewed journal Skills: - Strong motivation and leadership in pursuing challenging scientific questions - An ability to work well with interdisciplinary colleagues - Experience in mentoring and training junior researchers - Excellent written and interpersonal communication skills - Good time and resource management skills Experience: - High proficiency in Python/Matlab (essential requirement) •⁠ ⁠⁠Preferably experience working with neural data (spikes, calcium imaging) at scale •⁠ ⁠⁠Some background in machine learning with strong grounding in statistical methods •⁠ ⁠⁠Familiarity with techniques for dimensionality reduction - Expertise in in vivo brain recording techniques, e.g. microendoscopy, electrophysiology, fiber photometry - Expertise in rodent stereotaxic surgeries Candidates should email (i) a description of research interests, (ii) a CV and (iii) the names of 3 references to Dr. Phua at sc.phua(a)nus.edu.sg . The position is available immediately but we will wait for the candidate with the ideal combination of skills and interests.

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Two Tenure-Track faculty positions in Applied Mathematics, UW Seattle
by Eric Shea-Brown Oct. 18, 2024

Oct. 18, 2024

Hello comp neuro colleagues! Sharing news of two tenure-track assistant professor positions in at UW Applied Mathematics, in Seattle. Please apply by 10/31! Details here: https://www.mathjobs.org/jobs/list/25055 Yours, Eric ________________ Eric Shea-Brown (he/him) Professor, Applied Mathematics + Physiology and Biophysics, ECE Co-director, Computational Neuroscience Center University of Washington

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One week left: Research Summit on Open Problems for AI (Euston, London, Oct 23-24th)
by Battleday, Ruairidh Oct. 17, 2024

Oct. 17, 2024

AE Autumn Summit on Open Problems for AI. Friends House, Euston, London, Oct 23-24. What are the next set of challenges for AI algorithms? What are the open problems in application? Join the UK’s leading AI researchers, policy makers, and entrepreneurs in this global summit. One week left until the Summit! Some tickets sold out, others still available! www.algopreneurship.org Day 1 (Oct 23rd) - Algorithms We’ll be hearing from Professor Karl Friston <https://en.wikipedia.org/wiki/Karl_J._Friston> (UCL & Verses.ai <http://verses.ai/>), Professor Claudia Clopath <https://profiles.imperial.ac.uk/c.clopath> (Imperial), Dr Katja Hofman <https://www.microsoft.com/en-us/research/people/kahofman/>n (Microsoft), Dr Martin Riedmiller <https://sites.google.com/view/riedmiller/home> (Google DeepMind), Professor Tim Rocktäschel <https://rockt.github.io/> (Google DeepMind & UCL) Panels on Fundamental AI research challenges (University of Oxford, DeepMind, Meta <https://ai.meta.com/research/fair-paris/>, XTX Markets <https://xtxmarkets.com/>); New Kinds of AI Research Institution (Kings AI Institute <https://www.kcl.ac.uk/ai>, <https://www.aria.org.uk/>Alan Turing Institute <https://www.turing.ac.uk/>, Advanced Research and Invention Agency <https://www.aria.org.uk/>, Ellison Institute <https://eit.org/>, <https://www.airstreet.com/>Cambridge Consultants <https://www.cambridgeconsultants.com/>) Day 2 (Oct 24th) - Applications Professor Sana Khareghani <https://rai.ac.uk/team/professor-sana-khareghani-2/> (RAI <https://rai.ac.uk/> & KCL), James Donovan <https://www.linkedin.com/in/james-donovan-111a7a122/> (OpenAI), Professor Mounia Lalmas <https://research.atspotify.com/2020/09/mounia-lalmas-roelleke/> (Spotify), Dr Olvier Vince <https://theorg.com/org/basecamp-research/org-chart/oliver-vince> (Basecamp Research <https://basecamp-research.com/>), Professor Eiman Kanjo <https://profiles.imperial.ac.uk/e.kanjo> (tinyML/Imperial/Nottingham Trent), Danny Gray <https://jaaq.org/creator/35911> (Just Ask A Question <https://jaaq.org/home>), Tarig Hilal <https://www.linkedin.com/in/tarighilal/> (Akord AI <https://cdi.akord.org/>), Ashley Ramrachia <https://www.linkedin.com/in/ashley-ramrachia-0988675/> ( Academy <https://academy.tech/>), Dr Chanuki Illushka Seresinhe <https://www.linkedin.com/in/chanukiseresinhe/> (Boon/beautifulplaces.ai) Future Leaders Breakout Rooms (UKRI, Future Leaders Development Network <https://www.flfdevnet.com/>, No, 10 Downing Street Data Team, Tony Blair Institute <https://www.institute.global/>, Zeki <https://www.thezeki.com/>, Octopus ventures <https://octopusventures.com/>, Entrepreneur First <https://www.joinef.com/>, Financial Times), Panels on AI and Education Panel (Raspberry Pi <https://www.raspberrypi.org/>, Inversity <https://inversity.co/welcome>, micro:bit <https://microbit.org/>, memrise <https://www.memrise.com/en-us/>, Five Arrows <https://www.rothschildandco.com/en/five-arrows/>); Challenges for AI in Biomedicine Panel (KCL, QMU, Alan Turing Institute, Sonus AI <https://decorte.co.uk/>, Basecamp Research <https://www.basecamp-research.com/>, RedAlpine <https://www.redalpine.com/> ) Student tickets: £10 General: £30 This should be an exciting and productive event, and we expect an audience of 1000 of the UK best AI researchers, policy makers, and entrepreneurs, at student, early stage, and full career levels. -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking, Inc <https://thinkingaboutthinking.org> Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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School on the Origins of Life, Behavior and Cognition
by Ahmed El Hady Oct. 17, 2024

Oct. 17, 2024

*School on the Origins of Life, Behavior and Cognition* *March 10-21, 2025* *ICTP-SAIFR, São Paulo, Brazil* */Application Deadline:/ December 28, 2024* School on Origins is an interdisciplinary school that tackles the foundational questions concerning the origins of biophysical systems which include but are not limited to : molecular, cellular, neural and behavioral systems. We aim to find principles shared across systems using tools from statistical physics, mathematical analysis and numerical simulations to explore these questions. We have invited researchers that work both on the experimental and theoretical side to cover a variety of biophysical systems and theoretical approaches. The school is aimed at graduate students either at the master’s or PhD level who have a strong quantitative background and a keen interest to pursue interdisciplinary research. We invite students pursuing degrees in physics, computer science, engineering, or mathematics. Those pursuing degrees in biology need to provide evidence of strong and extensive quantitative background in topics such as calculus, dynamical systems and numerical programming. /There is no registration fee and limited funds are available for travel and local expenses./ *Organizers:* * *Ahmed El Hady* (Cluster of Excellence Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Germany.) * *Antonio C. Roque* (USP Ribeirão Preto, Brazil) * *Daniel Y. Takahashi* (UFRN, Brazil) *Lecturers:* * *Suzanne Still* (University of Hawaii at Mānoa, USA) * *Randall Beer* (Indiana University Bloomington, USA) * *Asif Ghazanfar* (Princeton University, USA) * *Don Katz* (Brandeis University, USA) * *Gandhimohan M. Viswanathan* (Universidade Federal do Rio Grande do Norte – UFRN, Brazil) * *Bruno Mota* (Federal University of Rio de Janeiro, Brazil) * *Ana Amador* (University of Buenos Aires, Argentina ) All details and application procedure can be found here: https://www.ictp-saifr.org/solbc2025/ All the best, Ahmed El Hady Dr. Ahmed El Hady Research Group Leader Cluster for Advanced Study of Collective Behavior University of Konstanz / Max Planck Institute of Animal Behavior Universitätsstraße 10, 78464 Konstanz Room ZT 907 Postbox 687 Tel.: +49 7531 88-4742

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PhD/postdoc positions in NeuroAI
by Adam Gosztolai Oct. 17, 2024

Oct. 17, 2024

Dear Comp-neuro community, I would like to inform you about PhD and postdoc opportunities in my lab in Vienna. We are the Dynamics of Neural Systems Lab, currently generously supported by an ERC Starting grant. We have several exciting projects at the interface of neuro, mathematical modelling (geometry and dynamical systems) and ML. All have broad impact in fundamental ML theory and neuroscience and translational impact in neuroprosthetic interfaces. I also have an open project for someone with strong mathematical and programming skills, e.g., to develop a project like MARBLE (https://arxiv.org/html/2304.03376v3) at the interface of dynamical systems, probabilistic modelling and deep learning. More details on the projects can be found here: https://www.gosztolai-lab.org/news/2024/09/15/Hiring.html Would you be so kind to circulate this among colleagues and interested students? They can contact me directly with questions. All the best, Adam ————— Adam Gosztolai Group leader AI Institute Medical University of Vienna Research Affiliate McGovern Institute for Brain Research MIT gosztolai-lab.org

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Open PhD Position at El-Boustani Lab - University of Geneva (Switzerland)
by sami El-Boustani Oct. 16, 2024

Oct. 16, 2024

The El-Boustani Lab at the University of Geneva is looking for a highly motivated PhD student to research the plasticity mechanisms underlying the learning of goal-directed sensorimotor associations in mice. This project involves whole-brain mappings, two-photon calcium imaging of neuronal populations, as well as dendritic spine imaging in mice during the acquisition of perceptual decision-making tasks. Genetically encoded tools will be used to dissect the circuits that contribute to the learning of these tasks, and state-of-the-art behavioral modeling will help infer the timescales of synaptic plasticity. Successful applicant will contribute to a collaborative research program focused on understanding how changes in specific sensorimotor synapses underpin the acquisition of new associations. We welcome applicants with diverse quantitative backgrounds, including but not limited to neuroscience, mathematics, physics, and engineering. We are especially interested in applicants with excellent programming skills (e.g., MATLAB, Python), and experience with mouse behavior and/or imaging techniques through cranial windows. Switzerland offers a vibrant neuroscience community with outstanding research conditions and attractive salaries. Candidates should send their CV, at least two references and a brief cover letter describing their previous work and future goals to Sami El-Boustani: <mailto:sami.el-boustani@unige.ch> sami.el-boustani(a)unige.ch<mailto:sami.el-boustani@unige.ch>. Please visit http://elboustani-lab.org/ for more details.

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2-year postdoc at Neurospin/INM, Paris: Deep phenotyping of learning and decision-making 7T MRI, MEG & computational modeling
by Alexander Paunov Oct. 15, 2024

Oct. 15, 2024

2-YEAR POSTDOCTORAL POSITION AVAILABLE AT NEUROSPIN/INM (PARIS, FRANCE) https://florentmeyniel.weebly.com/uploads/5/9/7/2/59727215/ad_recruitment_p… Project Deep phenotyping of learning and decision-making 7T MRI, MEG & computational modeling Supervisor and contact Dr Florent MEYNIEL https://www.unicog.org/lab/the-computational-brain/ Duration and Dates * Initial duration: two years * Extension possible * Full-time post * Preferred starting date: January 2025 Project description Learning and decision making are intertwined processes in many everyday situations. One example is when you decide where to have lunch: should you go to the nearby coffee shop or to the university cafeteria? Learning depends on choice, because you can learn which option you prefer by trying each option repeatedly, and decision making depends on learning, because you eventually want to select the option you have learned you like best. Uncertainty plays a key role in both learning1–4 and decision making5, especially when the environment is not stationary (e.g., a new brand now runs the nearby coffee shop and you like it less). In the CEA-funded EXPLORE+ collaborative project, we are interested in characterizing the neural representation of uncertainty6–8 and value that emerge from learning and guide decisions. Our approach follows a deep phenotyping approach, attempting to characterize each subject with a large multimodal dataset. We collected data from 16 participants who participated in one behavioral session, two 7T fMRI sessions, and two MEG sessions. The large number of trials allows us to estimate and test different computational models of the decision and learning processes. The 7T MRI and MEG data provide access to the topographical organization of neural representations and their dynamics, respectively, to better understand learning and decision making. One postdoc is currently working on the fMRI data, and we are looking for another postdoc for the MEG dataset. Both postdocs will work together to perform analyses informed by both modalities. The EXPLORE+ project will continue with another previously funded project called BrainSync, which will collect data from 11.7 fMRI and intracranial recordings using the same task, providing an opportunity to extend the current work. Profile Ph.D. in neuroscience, machine learning or psychology, with good programming skills (ideally Python). Previous experience with ideally MEG, EEG or alternatively fMRI, computational modeling. You will be responsible for data analysis (mainly MEG, also fMRI-MEG in collaboration with Alexander Paunov, postdoc working on the fMRI part) and dissemination of results in internal seminars, international conferences and journal articles. The working language of the lab is English. French is not required. Workplace and environment Dr Florent MEYNIEL leads the Computational Brain team (more info here), which is located in two places. * Institute of NeuroModulation (INM), Sainte Anne Hospital, Paris, France. The INM is part of the GHU Paris, Psychiatry & Neurosciences. The INM combines clinical activities and innovative clinical research in psychiatry with basic research in computational neuroscience. Team members spend most of their days here. * NeuroSpin, Paris-Saclay Campus, France. NeuroSpin is part of the CEA (Commissariat à l'Energie Atomique). Directed by Prof. Stanislas DEHAENE, NeuroSpin is a world-class brain imaging center equipped with a MEG system (Elekta, Neuromag) and several human MRI scanners (3T Prisma, 7T and 11.7T), all for research purposes only. The community at NeuroSpin is very stimulating, combining MRI physicists, machine learning experts, and cognitive neuroscientists. Team members go there to collect data and collaborate with their colleagues in the Cognitive NeuroImaging Unit. Application procedure Please send an email to Florent Meyniel (florent.meyniel(a)cea.fr) and Alexander Paunov (alexander.paunov(a)gmail.com) * Your CV * a research statement (what you like and want to do) * the contact details of two referees Applications will be considered on a rolling basis (positions will remain open until filled). Salary According to CEA standards. According to experience. References 1. Meyniel, F., Schlunegger, D. & Dehaene, S. The Sense of Confidence during Probabilistic Learning: A Normative Account. PLoS Comput Biol 11, e1004305 (2015). 2. Meyniel, F., Sigman, M. & Mainen, Z. F. Confidence as Bayesian Probability: From Neural Origins to Behavior. Neuron 88, 78–92 (2015). 3. Foucault, C. & Meyniel, F. Two Determinants of Dynamic Adaptive Learning for Magnitudes and Probabilities. Open Mind 8, 615–638 (2024). 4. Meyniel, F. Brain dynamics for confidence-weighted learning. PLOS Comput. Biol. 16, e1007935 (2020). 5. Paunov, A. et al. Multiple and subject-specific roles of uncertainty in reward-guided decision-making. 2024.03.27.587016 Preprint at https://doi.org/10.1101/2024.03.27.587016 (2024). 6. Walker, E. Y. et al. Studying the neural representations of uncertainty. Nat. Neurosci. 1–11 (2023) doi:10.1038/s41593-023-01444-y. 7. Bounmy, T., Eger, E. & Meyniel, F. A characterization of the neural representation of confidence during probabilistic learning. NeuroImage 268, 119849 (2023). 8. Meyniel, F. & Dehaene, S. Brain networks for confidence weighting and hierarchical inference during probabilistic learning. Proc. Natl. Acad. Sci. 201615773 (2017) doi:10.1073/pnas.1615773114.

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Call for Workshop Proposals on Complex Systems at FRCCS 2025
by Hocine Cherifi Oct. 15, 2024

Oct. 15, 2024

The organizing committee of *Fr*ance’s International *C*onference on *C* omplex *S*ystems (FRCCS 2025 <https://iutdijon.u-bourgogne.fr/ccs-france/>) invites proposals for full- or half-day workshops on current or emerging topics in Complex Systems. Workshops provide an interactive platform for in-depth exploration of novel issues or application domains, fostering collaboration across disciplines. We especially welcome multidisciplinary workshops that engage both researchers and practitioners. *Workshop Date:* May 21-23, 2025 *Proposal Deadline:* January 12, 2024 *Workshop Format & Duration* We encourage diverse formats beyond traditional paper presentations, including: - *Discussions*, *demos*, *panels*, and *challenge sessions*. - *Full-day workshops*: 7 hours, including two 30-minute breaks. - *Half-day workshops*: 4 hours, including one 30-minute break. *Organizer Responsibilities* Workshop organizers are responsible for managing their sessions independently, which includes drafting and disseminating the Call for Papers (CFP) for their workshops, reviewing submitted papers, and coordinating with participants. *Proposal Guidelines (2-4 pages in PDF)* Proposals should include the following details: 1. *Title* 2. *Overview*: Key issues, relevance, and associated research areas. 3. *Organizers*: Names, affiliations, and contact information (with one primary contact). 4. *Workshop Format*: Planned structure (talks, panels, etc.). 5. *Duration*: Half-day or full-day. 6. *Call for Submissions* (optional draft). 7. *Expected Submissions and Participants* 8. *Speakers*: Confirmed or pre-contacted (if applicable). 9. *Logistics Needs* (e.g., poster stands, AV equipment). *Incentives* Workshops with more than ten registered contributions will receive a waived registration fee for one organizer or invited speaker. *Important Dates* - *Proposal Submission Deadline* : January 12, 2024 - *Acceptance Notification* : January 26, 2024 - *Workshop Paper Submission Deadline*: March 20, 2024 - *Author Notification* : April 17, 2024 *Submission Link* Submit your proposal via: https://cmt3.research.microsoft.com/FRCCS2025/. Choose the "Workshop Proposal" track. *Publication* Workshop contributions will be included in the FRCCS 2025 conference companion book (with ISBN). Selected submissions may be invited for publication in partner journals. *Why Organize a Workshop?* By organizing a workshop, you will: - Shape discussions on cutting-edge topics in Complex Systems. - Build networks with leading researchers and practitioners. - Promote interdisciplinary collaboration and share your expertise with an engaged audience. *We look forward to receiving your innovative and exciting workshop proposals!* For more details, visit: https://iutdijon.u-bourgogne.fr/ccs-france/workshops-proposals/ Or contact the workshop chair Maria Malek maria.malek(a)cyu.fr Join us at COMPLEX NETWORKS 2024 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

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Brains in Space - A virtual colloquium on spatial navigation
by Vinita Samarasinghe Oct. 15, 2024

Oct. 15, 2024

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 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 (CET) 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 October 29th 2024.* * *Confirmed speakers include:* Arne Ekstrom, Klaus Gramann, Michael Hornberger, Russell Epstein, Ed Manley and Behnam Ghazinouri. 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-x.de/j/67839364827?pwd=RfcIgK8OUfjkwWTNCf80ARX… [Meeting ID: 678 3936 4827; Passcode: 841644] October 29th: *Klaus Gramann* - TU Berlin *Title:* Mobile Brain/Body Imaging in Actively Navigating Humans *Abstract:* The human brain is embodied, intertwined with our physical form, leveraging this embodiment to enhance perception in complex and dynamically changing environments. Traditional brain imaging techniques have largely ignored these aspects of embodied cognition. However, recent years have witnessed a significant paradigm shift, with established brain imaging technologies being employed outside conventional experimental frameworks to record brain dynamics in actively behaving individuals. This evolution in research methodologies introduces new challenges in both hardware and analytical approaches but allows for unprecedented insights into human brain activity underlying natural cognition. In this presentation, I will provide an overview of research in the Berlin Mobile Brain/Body Imaging Labs that focus on the neural dynamics underlying human navigation using mobile EEG technologies. Utilizing Mobile Brain/Body Imaging (MoBI), I will present findings from experiments that examine multisensory integration during navigation, both within classical laboratory protocols and in scenarios that permit full-body movement in virtual and real-world settings. The results reveal substantial changes in brain dynamics in actively behaving participants compared to traditional brain imaging configurations, highlighting important implications for future research directions. We look forward to seeing you. Kind regards, Vinita -- Vinita Samarasinghe Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27996 Email:samarasinghe@ini.rub.de

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Faculty position in Mathematical Biology
by Alla R Borisyuk Oct. 14, 2024

Oct. 14, 2024

The Department of Mathematics at the University of Utah has an OPEN RANK FACULTY POSITION search in Mathematical Biology (including Computational Neuroscience). Please help us spread the word by forwarding this announcement to anyone who might be interested. For the official job announcement please see www.mathjobs.org/jobs/UofUtah/TTMATHBIO and please let us know if you have any questions. Alla Borisyuk Professor Department of Mathematics University of Utah

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Creating an inclusive and anti-racist academia – Online Panel Discussion and Q&A – 28th October, 1pm GMT / 2pm CET
by Sidarus, Nura Oct. 14, 2024

Oct. 14, 2024

Creating an inclusive and anti-racist academia Online Panel Discussion with Q&A Monday, October 28 1-2pm GMT / 2-3pm CET Details & registration: https://www.eventbrite.com/e/1027101356807 Despite ongoing efforts to promote anti-racism and equity, diversity, and inclusion (EDI), systemic inequalities persist and academic work often remains limited to Western perspectives, neglecting the rich diversity of global knowledge systems. Women in Cognitive Science-Europe<https://www.womenincogsci.org/wics-europe> is organising this discussion on occasion of the United Kingdom’s Black History Month, making time to recognise the contribution of Black scholars and thought, and foster conversations that challenge the cultural narratives and practices that marginalise people of colour. We believe we all need to work together to fight against all types of discrimination and marginalisation. Panelists will provide evidence and showcase ongoing initiatives to promote a more inclusive and anti-racist academia. Attendees will gain insights into these issues and be inspired to take action in their own contexts. Panelists: * Prof. Felix Ameka, Leiden University, The Netherlands * Prof. Narender Ramnani, Royal Holloway, University of London, UK * Dr. Nura Sidarus, Royal Holloway, University of London, UK Join us and help us spread the word about this event. Everyone is welcome! Details & registration: https://www.eventbrite.com/e/1027101356807 __________________________________________________________ Dr Nura Sidarus (she/her) Lecturer | Chair of Equity, Diversity & Inclusion Team Department of Psychology | Office: Wolfson 248 Royal Holloway University of London | Egham | TW20 0EX Affiliate Member | Institute of Cognitive Neuroscience, UCL Computations in Agency and Metacognition Lab<https://www.compagencymeta.com/> nura.sidarus(a)rhul.ac.uk<mailto:%20nura.sidarus@rhul.ac.uk> | Personal Website<http://www.nurasidarus.com/> __________________________________________________________ This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free.

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Apply to the Bertalanffy Doctoral Student Award @ FRCCS 2025
by Hocine Cherifi Oct. 14, 2024

Oct. 14, 2024

*DOCTORAL STUDENT AWARD* <https://iutdijon.u-bourgogne.fr/ccs-france/doctoral-student-award/> *@ **FRCCS 2025* <https://iutdijon.u-bourgogne.fr/ccs-france/> The Bertalanffy Doctoral Student Award is part of CSS FRANCE's <https://www.cssfrance.org/> global initiative to support early career researchers in their quest to advance the frontiers of science across a broad range of disciplines. It is in place to recognize early career contributions and leadership in research in Complex Systems related fields. It is awarded to young researchers enrolled in a Ph.D. program. This competition consists of presenting your research in simple terms in a five-minute video to a lay audience. Your presentation should be clear, concise, and convincing. *Eligibility* - Eligible candidates must: - Be under 30. - Be enrolled in a Ph.D. program in whatever discipline Complex Systems covers. - Commit to presenting their work at France's International Conference on Complex Systems <https://iutdijon.u-bourgogne.fr/ccs-france/> ( FRCCS 2025) <https://iutdijon.u-bourgogne.fr/ccs-france/> if awarded - Accept and authorize the use and distribution of videos and photos related to the competition, including on social networks - Have informed their thesis supervisor of their participation in the competition - Present a sufficiently advanced state of the doctoral research project - Individuals may only be candidates for this award once in their lifetime. *Important dates* · Application deadline: *March 11, 2025* · Notification to applicants: *April 02, 2025* *Application Instruction* The application package must contain the following: - A CV of the candidate (maximum two pages) - A summary (maximum two pages) presenting the research work, its context, main contribution, and scientific impact. - A 5-minute video presentation. *Application Process* Applications are made via a Google form on the online portal. <https://forms.gle/CEGYgJFV8MoiSQS36> *Note that Google Forms requires you to be signed in to a Google account to upload files and submit your responses. * *Selection Process* FRCCS Award Committee will evaluate all qualified candidates and propose the winner to the Advisory Board of CSS FRANCE, which will make the final decision. *Award Procedure* · The awardee will be recognized and present their work at FRCCS 2025 <https://iutdijon.u-bourgogne.fr/ccs-france/>. · The awardee will receive a 500-euro prize. · If the awardee is not an author at FRCCS 2025 <https://iutdijon.u-bourgogne.fr/ccs-france/>, the prize will include an additional coverage of their registration fee. · If the awardee has an accepted submission to FRCCS 2025 <https://iutdijon.u-bourgogne.fr/ccs-france/>,, they need to pay the registration fee for their contribution. For more information, contact: hocine.cherifi(a)gmail.com Join us at COMPLEX NETWORKS 2024 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

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CFP FRCCS 2025 Bordeaux, France May 21 – 23, 2025
by Hocine Cherifi Oct. 14, 2024

Oct. 14, 2024

Fifth France’s International* C*onference on* C*omplex* S*ystems May 21 – 23, 2025 Bordeaux, France *FRCCS 2025* <https://iutdijon.u-bourgogne.fr/ccs-france/> The fifth edition of France’s International Conference on Complex Systems (FRCCS 2025) will be held in Bordeaux, France. This single-track international conference serves as a platform to foster interdisciplinary exchanges among researchers from various scientific disciplines and diverse backgrounds, including sociology, economics, history, management, archaeology, geography, linguistics, statistics, mathematics, and computer science. FRCCS 2025 allows participants to meet yearly in France, exchange and promote ideas, and facilitate the cross-fertilization of recent research work, industrial advancements, and original applications. Moreover, the conference emphasizes research topics with a high societal impact, showcasing the significance of complexity science in addressing complex societal challenges. You are cordially invited to submit your contribution by *February 21, 2025.* Finalized work (published or unpublished) and work in progress are welcome. Three types of contributions are accepted: · *Long Papers* about *original research* (up to 12 pages) · *Short Papers *about* original research* (up to 8 pages) · *Extended Abstract* about *published or unpublished* research (3 to 4 pages). *Keynote Speakers* · Elsa Arcaute, <https://www.ucl.ac.uk/bartlett/casa> University College London, UK · Ulrik Brandes <https://sn.ethz.ch/> ETH Zürich Switzerland · Mikko Kivelä, <http://www.mkivela.com/> Aalto University, Finland · Caterina La Porta, <https://www.oncolab.unimi.it/about-caterina/> University of Milan, Italy · *More TBA…* *Publication* o *Papers *will be included in the conference *proceedings edited by Springer* o *Extended abstracts* will be included in the book of abstracts (With ISBN) o *Selected submissions of unpublished work will be invited for publication in special issues (fast track procedure) **of the journals:* o Applied Network Science, <https://appliednetsci.springeropen.com/> edited by Springer o Frontiers in Big Data <https://www.frontiersin.org/journals/big-data> edited by Frontiers *Submission * · Submit on CMT Microsoft at: https://cmt3.research.microsoft.com/FRCCS2025/ <https://cmt3.research.microsoft.com/FRCCS2025/> · *Select the Track: FRCCS2025* *Topics include, but are not limited to: * · *Foundations of complex systems * - Self-organization, non-linear dynamics, statistical physics, mathematical modeling and simulation, conceptual frameworks, ways of thinking, methodologies and methods, philosophy of complexity, knowledge systems, Complexity and information, Dynamics and self-organization, structure and dynamics at several scales, self-similarity, fractals - *Complex Networks * - Structure & Dynamics, Multilayer and Multiplex Networks, Adaptive Networks, Temporal Networks, Centrality, Patterns, Cliques, Communities, Epidemics, Rumors, Control, Synchronization, Reputation, Influence, Viral Marketing, Link Prediction, Network Visualization, Network Digging, Network Embedding & Learning. - *Neuroscience, **Linguistics* - Evolution of language, social consensus, artificial intelligence, cognitive processes & education, Narrative complexity - *Economics & Finance* - Game Theory, Stock Markets and Crises, Financial Systems, Risk Management, Globalization, Economics and Markets, Blockchain, Bitcoins, Markets and Employment - *Infrastructure, planning, and environment * - critical infrastructure, urban planning, mobility, transport and energy, smart cities, urban development, urban sciences - *Biological and (bio)medical complexity * - biological networks, systems biology, evolution, natural sciences, medicine and physiology, dynamics of biological coordination, aging - *Social complexity* o social networks, computational social sciences, socio-ecological systems, social groups, processes of change, social evolution, self-organization and democracy, socio-technical systems, collective intelligence, corporate and social structures and dynamics, organizational behavior and management, military and defense systems, social unrest, political networks, interactions between human and natural systems, diffusion/circulation of knowledge, diffusion of innovation - *Socio-Ecological Systems* - Global environmental change, green growth, sustainability & resilience, and culture - *Organisms and populations * - Population biology, collective behavior of animals, ecosystems, ecology, ecological networks, microbiome, speciation, evolution - *Engineering systems and systems of systems* - bioengineering, modified and hybrid biological organisms, multi-agent systems, artificial life, artificial intelligence, robots, communication networks, Internet, traffic systems, distributed control, resilience, artificial resilient systems, complex systems engineering, biologically inspired engineering, synthetic biology - *Complexity in physics and chemistry* - quantum computing, quantum synchronization, quantum chaos, random matrix theory - *Machine learning and AI in the context of Complex Systems* *GENERAL CHAIRS* Jean Loup Guillaume La Rochelle University, France Bruno Pinaud University of Bordeaux, France *PROGRAM CHAIRS* Hocine Cherifi University of Burgundy, France Guy Melançon University of Bordeaux, France Join us at COMPLEX NETWORKS 2024 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

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Faculty position in Theoretical/Computational Neuroscience
by Goodhill, Geoffrey Oct. 12, 2024

Oct. 12, 2024

The Department of Neuroscience at Washington University School of Medicine is seeking a tenure-track investigator at the level of Assistant Professor to develop an innovative research program in Theoretical/Computational Neuroscience. Applicants should have a demonstrated commitment to neuroscience and a strong background in mathematics, physics, engineering, computer science, or a related field and hold a PhD. Areas of interest include (but are not limited to) research on fundamental molecular/cellular/circuit/systems mechanisms of brain architecture/development/function, machine learning methods for neuroscientific data, neuro-AI, and computational cognition/behavior/psychiatry. We seek talented, creative, and ambitious candidates from the entire span of computational neuroscience, and we are especially interested in candidates interested in building collaborations with experimental groups. The successful candidate will join a thriving theoretical/computational neuroscience community at Washington University, including the new Center for Theoretical and Computational Neuroscience. In addition, the Department also has world-class research strengths in systems, circuits and behavior, cellular and molecular neuroscience using a variety of animal models including worms, flies, zebrafish, rodents and non-human primates. The Department’s focus on fundamental neuroscience, outstanding research support facilities, and the depth, breadth and collegiality of our culture provide an exceptional environment to launch your independent research program. To apply, submit an application packet including a cover letter describing your interest in our Department, curriculum vitae, a research statement (of no more than 3 pages) to the Faculty Opportunities Portal and arrange for three confidential letters of recommendation to be sent to neurosearch(a)wustl.edu c/o Professor Timothy E. Holy, Vice Chair for Research, Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110. The review of applications will begin on November 4, 2024. Washington University is an Equal Opportunity Employer, and broadening opportunity is core mission of the institution. Our department highly values all our researchers, staff and trainees, and we provide an inclusive environment for people from diverse backgrounds and experiences. For more information about the Department, Washington University, and life in St. Louis, visit: https://neuroscience.wustl.edu/assistant-professor-theoretical-computationa… Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering 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

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Cluster Hiring of UT System Research Excellence Regents' Professorships at UTSA
by Dhireesha Kudithipudi Oct. 11, 2024

Oct. 11, 2024

The University of Texas at San Antonio (UTSA), MATRIX AI Consortium, invites applications for the position of Full Professor / Associate Professor, to be appointed as a University of Texas System (UT System) Research Excellence Regents' Professor. Successful candidates will be part of a strategic Clustered & Connected Hiring Program (CCP) <https://www.utsa.edu/strategicplan/initiatives/research/strategic-hiring/cc…> focused on Artificial Intelligence, with an anticipated start date in the Fall of the 2025-26 academic year. The University of Texas System recently approved the creation of the Regents’ Research Excellence Program across its four Emerging Research Universities (ERUs), including UTSA. UT System has allocated $55 million across all four ERUs to fund the recruitment of research-active faculty to dramatically grow its national research prominence and federal funding opportunities. The 5 positions open are in areas: 1. *Trustworthy AI/ML Algorithms (eg: neuro-inspired algorithms)* 2. *Neuromorphic AI Accelerators/Chips* 3. *Human-Centered AI* 4. *AI Ethics* 5. *Quantum Encryption for AI Confidentiality* The Regents Professors will be core members of the MATRIX Consortium, which is a central hub for 87 AI scientists, facilitating transdisciplinary research, fostering high-impact collaborations, and offering thought leadership and domain expertise to address the most challenging and complex problems in AI. Areas of interest include Trustworthy AI/ML Algorithms, Neuromorphic AI Accelerators, Human-centered AI, AI Ethics, all of which advance the research thrusts in the MATRIX. MATRIX strives for scientific excellence in developing holistic solutions for human well-being. The team has a successful track record in securing large collaborative grants that generated multiple centers, such as the NSF AI Partner Institute, two NSF EFRI BRAIDs, AFOSR COE in neuro-inspired AI, along with large collaborative projects in AI for healthcare. Apply here: https://zahr-prd-candidate-ada.utshare.utsystem.edu/psc/ZAHRPRDADA/EMPLOYEE… Best Regards, Dhireesha Kudithipudi Founding Director| MATRIX <https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fai.utsa.e…> AI Consortium & NUAI <https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nuail…> Research Lab Professor| McDermott Endowed Chair| ECE/CS| UTSA

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Postdoc positions at U Oregon
by James Murray Oct. 11, 2024

Oct. 11, 2024

Postdoc positions are available at the University of Oregon’s NeuroAI Center (ion.uoregon.edu/neuroai<https://urldefense.com/v3/__https://ion.uoregon.edu/neuroai__;!!K-Hz7m0Vt54…>) in the Murray and Mazzucato labs. In our research, we seek to uncover the principles of how the brain performs computations related to sensory perception, decision making, and motor control. While previous experience in computational neuroscience and machine learning are desirable, applicants from other quantitative fields (e.g. math, physics, statistics, computer science) who are eager to learn about neuroscience are highly encouraged to apply as well. Some of the scientific questions that motivate our work are * How do different regions of the brain interact to learn new motor skills? * What are the neural mechanisms underlying optimal performance in complex cognitive tasks? * What are the principles that enable brains and artificial agents to learn efficiently from experience while minimizing forgetting? * How can neural circuits generate the complex dynamics enabling naturalistic animal behavior? Our labs aim at building mechanistic models of brain function grounded in a combination of theoretical approaches, neural network-based simulations, and statistical analysis of experimental data. The candidate will have the opportunity to collaborate with a large network of experimental collaborators at University of Oregon and at other institutions with expertise in sensory processing (visual, auditory, and olfactory), motor control, naturalistic behavior, neural engineering, and brain-computer interfaces. The Oregon NeuroAI Center is part of the Institute of Neuroscience at the University of Oregon (ion.uoregon.edu<https://urldefense.com/v3/__http://https.ion.uoregon.edu__;!!K-Hz7m0Vt54!jj…>), a major hub for systems and theoretical neuroscience research. The successful candidate will also join our International Network for Bio-Inspired Computing (in-bic.org<https://urldefense.com/v3/__http://www.in-bic.org__;!!K-Hz7m0Vt54!jjW_DXqAj…>), a worldwide consortium of NeuroAI groups that provides trainees with an extended network for collaboration, including trainee exchanges, workshops, and schools. The University of Oregon is located in Eugene, Oregon, a vibrant college town in the Pacific Northwest with ample cultural offerings and phenomenal access to outdoor recreation. We offer a competitive salary commensurate with the candidate’s experience, and remote work arrangements may be considered. Our Institute strongly advocates for inclusivity in science, and we encourage applications from underrepresented groups. Required Qualifications Successful candidates will have a PhD in a quantitative field, including physics, neuroscience, mathematics, statistics, computer science, or related fields. Applicants should have a strong quantitative background including at least some coding experience. Application The application can be found here: https://academicjobsonline.org/ajo/jobs/28843. Application reviews will start on December 1st and will continue until the position is filled. Inquiries can be sent to James Murray (jmurray9 at uoregon dot edu) or Luca Mazzucato (lmazzuca at uoregon dot edu). -- James M Murray Assistant Professor Depts. of Biology and Mathematics and Institute of Neuroscience University of Oregon murraylab.uoregon.edu<https://urldefense.com/v3/__https://murraylab.uoregon.edu__;!!K-Hz7m0Vt54!j…>

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1st CFP ESANN 25: Special Session on ML and applied AI in COGNITIVE SCIENCES and PSYCHOLOGY
by Alfredo Vellido Oct. 11, 2024

Oct. 11, 2024

> > > > > * apologies for cross-posting* > > > > **Special Session on ML and applied AI in COGNITIVE SCIENCES and PSYCHOLOGY** > > > > **ESANN 2025**: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning > > 23 to Friday 25 April 2025 > > > > https://www.esann.org/ESANN2025specialsessions#psycho > > > > *************************************************** > > On the wake of the finalisation of the European flagship Human Brain Project and similar initiatives around the world, it has become clear that Cognitive Science has become a data-centric endeavour. Cognitive Science is an interdisciplinary research field comprising neuroscience, psychology, linguistics, artificial intelligence, and philosophy. In particular, mental health is an important topic both for Cognitive Science and Healthcare. Data-based approaches stemming from Artificial Intelligence and particularly from Machine Learning are important tools in the pursuit of personalized medicine goals as means for improvement in diagnosis, prognosis and treatment. In the medical domain in general, both the trustworthiness of models and the explainability of methods are relevant for the adoption of such machine learning-based approaches in clinical diagnosis and treatment. This session will consider developments in the field of applied Artificial Intelligence for Cognitive Science, with a focus on medical applications. Topics of interest are, among others: > > - Neuroscience > > - Psychology and Psychiatry > > - Neurodegenerative diseases > > - Linguistics > > - Philosophy > > - Artificial Intelligence applications for diagnosis, prognosis and treatment of cognitive impairments and pathologies. > > - Patient cohort analysis. > > - Interpretable and explainable artificial intelligence methods in Cognitive Science. > > - Personalized medicine. > > - Artificial Intelligence–based medical devices regulation. > > > > **IMPORTANT DATES** > > Deadline for submissions: 20 November 2024 > > Notification of decisions: 24 January 2025 > > > > We are looking forward to seeing you in Bruges! > > **Organizing Committee**: Caroline König and Alfredo Vellido (UPC Barcelona Tech, Spain), Steffen Moritz (University Medical Center Hamburg-Eppendorf, Germany), Susana Ochoa (Parc Sanitari Sant Joan de Déu, Spain) > > >

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Postdoc Position in Computational Neuroscience and Neuroimaging at UNC-Chapel Hill
by Li, Guoshi Oct. 10, 2024

Oct. 10, 2024

Dear Colleagues, A postdoctoral research associate position is available in the Department of Radiology, at UNC-Chapel Hill (https://guoshi.web.unc.edu/recruit/) The postdoctoral researcher will carry out research on computational neuroimaging and neuroscience using functional/diffusion MRI and PET data. Potential research projects include, but are not limited to, mechanistic identification of excitation-inhibition imbalance in Alzheimer's disease using fMRI/DTI and amyloid and tau PET, large-scale mapping of disrupted circuit interactions in major depressive disorders, and accurate localization of seizure onset zone via multiscale neural model inversion of resting-state fMRI. Initial appointment is for one year, with the possibility of renewal up to 3 years based on mutual agreement. A preferred start date of the position is November/December 2024, although it can be flexible. Candidates should have a strong background in computational neuronal modeling and neuroimaging analysis. Interested candidates are encouraged to contact Dr. Guoshi Li (guoshi_li(a)med.unc.edu<mailto:guoshi_li@med.unc.edu>) with a CV and a brief description of research interest. Thank you for your attention! Best regards, Guoshi Li https://guoshi.web.unc.edu/

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Postdoc positions in cognitive neuroscience and computational psychiatry, University of Tuebingen, Germany
by Susan Fischer Oct. 10, 2024

Oct. 10, 2024

**Apologies for cross-posting** Dear colleagues, The "Developmental Computational Psychiatry" lab and the W3 professorship "Computational Psychiatry" led by Tobias Hauser at the University of Tübingen (Germany) is currently hiring new postdocs. The focus of the lab is to better understand the computational and neural mechanisms underlying decision making and learning, and how these processes go awry in patients with mental illnesses. The successful candidates will have the chance to work in a highly dynamic and inspiring environment and to collaborate closely with Prof Peter Dayan and the Max-Planck Institute for Biological Cybernetics. Concretely, we are looking for the following candidates: * Postdoc with experimental & neuroimaging background * Postdoc with computational modelling background * Postdoc with experimental computational modelling background More information about the positions can be found here: https://devcompsy.org/join-the-lab/ Interested candidates are encouraged to reach out to Tobias Hauser directly to informally discuss the positions. Best regards, Susan. ************************************************ Susan Fischer Coordinator Alexander von Humboldt Professorship Prof Peter Dayan & W3-Professorship ‘Computational Psychiatry’, Prof Tobias Hauser Eberhard Karls Universität Tübingen Equal Opportunities Officer Max Planck Institute for Biological Cybernetics Max-Planck-Ring 8 72076 Tübingen Germany ************************************************

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Open-rank Tenure-track Faculty Position in Assistive Technology for Disabilities
by Yu Zhang Oct. 9, 2024

Oct. 9, 2024

*Open-rank Tenure-track Faculty Position in Assistive Technology for Disabilities* The P.C. Rossin College of Engineering & Applied Science at Lehigh University invites applications for an open-rank tenure-track faculty position in the area of Assistive Technology for Disabilities with an anticipated start date of July 1, 2025. The position is aligned with the ongoing Disability Interdependence across the Lifespan using Assistive Technology (DILAT) initiative. Applicants are required to possess an earned Ph.D. in Bioengineering, Electrical Engineering, Mechanical Engineering, or another relevant engineering discipline by the date of hire. The primary departmental affiliation for this position within the Rossin College will be determined based on the alignment of expertise and interests between the candidate and the department. This search seeks candidates who have interdisciplinary expertise and a strong track record of productivity and publishing in one or more of the following research areas: wearable medical devices, robotics, smart assistive devices, rehabilitation devices, prosthetics, and computational approaches to assistive technologies for disabled populations. The successful candidate will be expected to develop platform technologies that can be adapted to address physical, sensory, cognitive, and developmental disabilities across the lifespan. This position is aligned with Lehigh’s strategic research investment in interdisciplinary approaches to improving health through assessments and interventions that occur outside of traditional healthcare settings. This position will leverage collaborations and resources within Lehigh’s College of Health and additional key investments made by the University in the new Health, Science, and Technology (HST) building, a hub of interdisciplinary health/biomedicine research. The successful candidate will be expected to teach undergraduate and graduate courses in the affiliated department and contribute to departmental, college, and university service. Candidates must also be committed to the enhancement of a diverse, equitable, and inclusive environment in which world-class faculty, staff, and students can thrive to their full potential. *Review of Applications* — For full consideration, applications should be received online by November 7, 2024. Review of applications will continue until the position is filled. Applicants should submit materials at https://academicjobsonline.org/ajo/jobs/28805. Candidates should submit the following materials for evaluation: 1) a cover letter, 2) curriculum vitae (CV), 3) a Research Statement that describes past scholarly contributions and future research directions, 4) a Teaching Statement that describes instructional philosophy and courses that the candidate plans to teach or develop, 5) a statement on contributions to diversity, equity, and inclusion (DEI) that describes knowledge, prior DEI experience, and the candidate’s future plans for enhancing community and culture at Lehigh (the Lehigh ADVANCE Center’s guide for understanding and preparing such statements is available here <https://advance.cc.lehigh.edu/sites/advance.cc.lehigh.edu/files/Applicant-F…>), and 6) names and contact information of at least three references. Any inquiries regarding this search should be directed to Professor Yu Zhang, chair of the Search Committee at inbioe(a)lehigh.edu. -- Yu Zhang, PhD Associate Professor Department of Bioengineering Lehigh University

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PhD/PostDoc in Mainz, Germany
by Janina Hesse Oct. 9, 2024

Oct. 9, 2024

At the Computational Resilience Group in Mainz, we are looking for a PhD student or post doc interested in working at the interface of mathematical modelling of complex systems, advanced data analysis and psychology/ biology, with the aim to understand the neuronal and dynamical foundation of stress resilience. Details here: https://lir-mainz.de/assets/lir_84_doctoral-candidate-or-postdoc_eng_aktuel… With kind regards, Jun.-Prof. Dr. Janina Hesse Group leader Computational Resilience Research Pronouns: she/her Leibniz-Institut für Resilienzforschung (LIR) gGmbH Wallstraße 7 55122 Mainz www.lir-mainz.de<http://www.lir-mainz.de/> Telefon: +49 (0) 6131 89448-44 E-Mail: Janina.Hesse(a)lir-mainz.de [cid:2fdf5eab-1460-426f-9744-1857cc24ee94] Aufsichtsratsvorsitzender: Dr. Frank-Dieter Kuchta Geschaeftsfuehrer: Prof. Dr. Klaus Lieb, Prof. Dr. Beat Lutz (wissenschaftlich), Dr. Thorsten Mundi (kaufmaennisch). HRB 48032, Amtsgericht Mainz Diese E-Mail enthaelt vertrauliche und/oder rechtlich geschuetzte Informationen. Wenn Sie nicht der richtige Adressat sind oder diese E-Mail irrtuemlich erhalten haben, informieren Sie bitte sofort den Absender und loeschen Sie diese E-Mail. Das Kopieren sowie die Weitergabe dieser E-Mail und der darin enthaltenen Informationen ist nicht gestattet. This email may contain confidential and/or privileged information. If you are not the intended recipient (or have received this email in error) please notify the sender immediately and delete this e-mail. Any unauthorized copying, disclosure or distribution of the material in this email is strictly forbidden. Unsere Hinweise zum Datenschutz finden Sie hier: https://lir-mainz.de/datenschutz

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M2 and/or PhD in Neuro-AI at CERCO, Toulouse, France
by MASQUELIER Timothee Oct. 9, 2024

Oct. 9, 2024

Hi all, We are looking for a M2 and/or PhD student! Topic: Neuro-AI guided objective hearing assessment and hearing loss compensation. Details here: http://tmasquelier.free.fr/neurogram_M2+PhD_2025.pdf Please forward, distribute, etc. Cheers, Tim ___________________________________________________________________ Timothée Masquelier - timothee.masquelier(a)cnrs.fr - http://cerco.cnrs.fr/pagesp/tim

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Funded Ph.D. Positions at the International Max Planck Research School for Intelligent Systems (including comp neuro, medical AI)
by Philipp Berens Oct. 8, 2024

Oct. 8, 2024

The Max Planck Institute for Intelligent Systems and the Universities of Stuttgart and Tübingen collaborate to offer an interdisciplinary doctoral program, the International Max Planck Research School for Intelligent Systems (IMPRS-IS). This doctoral program will accept its ninth generation of doctoral researchers in spring of 2025. This school is a key element of Baden-Württemberg’s Cyber Valley initiative to accelerate basic research and commercial development in artificial intelligence and robotics. We seek students who want to earn a doctorate while contributing to world-leading research in areas such as: • Artificial Intelligence • Biomedical Technology • Computational Cognitive Science • Computer Vision and Graphics • Control Systems and Optimization • Data Science & Visualization • Haptics and Human-Computer Interaction • Machine Learning • Micro- and Nano-Robotics • Natural Language Processing • Neuroscience • Perceptual Inference • Robotics and Human-Robot Interaction • Soft Robotics and Materials Our renowned faculty include Amirreza Aghakhani, Aamir Ahmad, Frank Allgöwer, Kai Arras, Robert Bamler, Christian Baumgartner, Philipp Berens, Matthias Bethge, Michael J. Black, Wieland Brendel, Andrés Bruhn, Andreas Bulling, Martin Butz, Luiz Chamon, Manfred Claassen, Katharina Eggensperger, Benedikt Ehinger, Carsten Eickhoff, Andreas Geiger, Jonas Geiping, Martin A. Giese, Moritz Hardt, Florian Hartmann, Daniel Häufle, Matthias Hein, Philipp Hennig, Christian Holm, Andrea Iannelli, Christoph Keplinger, Katherine J. Kuchenbecker, Hilde Kuehne, Hendrik Lensch, Nicole Ludwig, Sabine Ludwigs, Jakob Macke, Georg Martius, Kristof Meding, Celestine Mendler-Dünner, Michael Mühlebach, Sven Nahnsen, Mathias Niepert, Seong Joon Oh, Antonio Orvieto, Aniket Pal, Nico Pfeifer, Gerard Pons Moll, Michael Pradel, C. David Remy, Kerstin Ritter, Alina Roitberg, Philipp Rothemund, Samira Samadi, Dieter Schmalstieg, Syn Schmitt, Bernhard Schölkopf, Sabine Schulte im Walde, Michael Sedlmair, Thomas Speck, Steffen Staab, Ingo Steinwart, Benjamin Unger, Alexander Verl, Claire Vernade, Ulrike von Luxburg, Daniel Weiskopf, Felix Wichmann, Bob Williamson, Andreas Wortmann, Thomas Wortmann, and Charley Wu. Associated faculty include R. Harald Baayen, Franz Baumdicker, Peter Dayan, Jonathan Fiene, Konstantin Genin, Bedartha Goswami, Ksenia Keplinger, Miriam Klopotek, Anna Levina, Kay Nieselt, Peter Pott, Gunther Richter, Cornelia Sindermann, Maria Wirzberger, and Thomas Wolfers. Intelligent systems that can successfully perceive, act, and learn in complex environments hold great potential for aiding society. We seek doctoral students who are curious, creative, and passionate about research to join our school and help advance human knowledge about intelligent systems. • Admitted students can join our program starting in spring of 2025. • You will be mentored by our internationally renowned faculty. • You will register as a university doctoral student and conduct research. • IMPRS-IS offers a wide variety of scientific seminars, workshops, and social activities. • All aspects of our program are in English. • Your doctoral degree will be conferred when you successfully complete your doctoral project. • Our dedicated staff members will assist you throughout your time as a doctoral student. People with a strong academic background and a master’s degree (conferred or expected soon) in Engineering, Computer Science, Cognitive Science, Mathematics, Control Theory, Neuroscience, Materials Science, Physics, or related fields should apply. IMPRS-IS is an equal opportunity employer dedicated to excellence through diversity and does not discriminate on the basis of age, race, sex, disability, sexual orientation, national origin, religion, marital status, gender identity, or any other non-job-related criteria. We believe in the importance of a multicultural community of students, faculty, and staff who seek to advance our commitment to diversity and inclusion. IMPRS-IS strives to create and maintain working and learning environments that are inclusive, equitable, and welcoming. Admission will be competitive. If selected, you will receive funding via an employment contract, subject to the rules of the Max Planck Society and the two participating universities. You can apply at https://imprs.is.mpg.de/application before 11:59 p.m. (23:59) CET on November 15, 2024. Finalists will be invited to selection interviews that will take place from February 13 to 21, 2025. For further information, please visit https://imprs.is.mpg.de -- Professor of Data Science, Director Hertie Institute for AI in Brain Health Medical Faculty of the University of Tübingen www.hertie.ai

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PhD/PostDoc position in Computational Psychiatry, University of Marburg
by Hamidreza Jamalabadi Oct. 7, 2024

Oct. 7, 2024

We are excited to announce an opportunity for a PhD or Postdoctoral researcher to join our lab at the University of Marburg, starting as soon as possible. This position is funded by the prestigious DFG CRC/TRR 393 consortium, a long-term, multicenter project dedicated to understanding the trajectories of affective disorders. The position is initially for two years, with the possibility of extension up to an additional three years (maximum of five years). How to Determine if You Are a Good Fit: - Familiarize yourself with our work: Review the research papers listed below, visit our lab’s website (https://www.psycontrol-lab.de/) and explore the Physics of Cognition workshop we recently organized (https://bernstein-network.de/bernstein-conference/program/satellite-worksho…) Ask yourself if these topics align with your research experience or excite your intellectual curiosity- . - Conference Engagement: Do you regularly attend, or aspire to attend, conferences such as CCN, NeurIPS, ICLR, COSYNE, BCCN, BrainModes, OHBM, SfN, ECNP, or Computational Psychiatry? If these events resonate with you, you may find our environment a great fit. What You Will Bring: - A strong motivation to advance the understanding of mental health disorders. - A solid background in Dynamical Systems Theory, Machine Learning, Generative Visual AI, and Neuroimaging. - Proficiency in coding - Excellent command of the English language in writing and speaking. What You Can Expect From Us: - Access to one of the most unique infrastructures in this field including full access to multiple multimodal unique large datasets (N > 3000) in the field, including fMRI, DTI, EEG, and EMA. - Ample computational resources (dedicated CPU, GPU, and RAM) tailored to your needs. - - Collaboration with a highly motivated interdisciplinary team with backgrounds in Engineering, Physics, Psychology, and Medicine. - Strong national and international collaborations through projects like The Adaptive Mind (TAM, https://www.theadaptivemind.de/) and the Center for Mind, Brain, and Behavior (CMBB, https://www.cmbb-fcmh.de/de) and partnerships with labs in the UK, Netherlands, Germany, and the USA. - Dedicated travel funding and the ability to run your own studies. For postdoctoral candidates, there is potential to establish your own research group. If you resonate with our research and approach, please send your CV and a brief statement explaining why you are a good fit and why this opportunity excites you to hamidreza.jamalabadi(a)uni-marburg.de. There is no formal deadline for applications—reviews will begin immediately and continue until the position is filled. Key Publications Gaziv, G., Lee, M., & DiCarlo, J. J. (2024). Strong and precise modulation of human percepts via robustified ANNs. Advances in Neural Information Processing Systems, 36. Durstewitz, D., Koppe, G., & Thurm, M. I. (2023). Reconstructing computational system dynamics from neural data with recurrent neural networks. Nature Reviews Neuroscience, 24(11), 693-710. Jamalabadi, H., Koppe, G., Nozari, E., & Hahn, T. (2023). Engineering the Mind: Actionable Technical Requirements for Innovation in Clinical Neuroscience. Stocker, J. E., Koppe, G., Reich, H., Heshmati, S., Kittel-Schneider, S., Hofmann, S. G., ... & Jamalabadi, H. (2023). Formalizing psychological interventions through network control theory. Scientific Reports, 13(1), 13830. Winter, N. R., Blanke, J., Leenings, R., Ernsting, J., Fisch, L., Sarink, K., ... & Hahn, T. (2024). A Systematic Evaluation of Machine Learning–Based Biomarkers for Major Depressive Disorder. JAMA Psychiatry, 81(4), 386-395. Goetschalckx, L., Andonian, A., Oliva, A., & Isola, P. (2019). Ganalyze: Toward visual definitions of cognitive image properties. Proceedings of the IEEE/CVF International Conference on Computer Vision, 5744-5753. Hope to hear from you soon! Best regards, Hamidreza Jamalabadi -- Prof. Dr. rer. nat. Hamidreza Jamalabadi Professor for Computational Psychiatry Psychiatric Control Systems Lab Department of Psychiatry and Psychotherapy Philipps-Universität Marburg Rudolf-Bultmann-Straße 8 35039 Marburg Germany Tel.: +49 6421 5863827 Email: hamidreza.jamalabadi(a)uni-marburg.de hamidreza.jamalabadi(a)psycontrol-lab.de Web: https://www.psycontrol-lab.de/

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Post-doc position available-Rennes, France - Computational modeling of genetic mutations at cellular level
by fabrice.wendling＠inserm.fr Oct. 7, 2024

Oct. 7, 2024

Dear colleagues Please find below an offer for a Post-Doc/Engineer position in our laboratory, starting in Autumn 2024. The successful candidate will work on a national multidisciplinary project called Innov4epik. This is a hospital-university research project (RHU) involving 10 centers in France. It focuses on pediatric epilepsies caused by genetic mutations inducing alterations in transmembrane ion channels. Please feel free to forward this offer to anyone who might be interested in a topic on electrophysiological signal modeling and processing (LFPs, EEG) in the context of epilepsy. Many thanks in advance. fw --- Post-doc or Research Engineer position offer (ref: RHU2024-MICRO) Computational modeling of genetic mutations at cellular level Context. Developmental and epileptic encephalopathies (DEEs) are a group of severe rare diseases where the combined effect of seizures, most often drug resistant, and the non-seizures consequences of the disease etiology, often genetic, entail a debilitating encephalopathy with drastic effects on the neurodevelopmental, psychiatric, and motor abilities of the patients. DEEs due to potassium channel mutations (K-DEEs) are emblematic of this disease presentation. Rationale. The mechanisms underlying the relationship between i) the molecular effect of a gene mutation (KCNB1/KCNT1/KCNA2) on specific voltage gated potassium channel function, and ii) the patient-specific phenotypes observed in scalp-recorded EEG signals remain elusive. Computational models inspired from neuronal physiology is now recognized as a most efficient way to bridge the gap between i) changes occurring at the level of neurons and neuronal circuits and ii) electroencephalographic (EEG) signals recorded in patients containing markers of the underlying pathology. Objective. The objective of the proposed research position is to design novel neuro-inspired models taking into account the molecular effect of a gene mutation on the specific voltage-gated potassium (K) channel function and the specific phenotypes observed in patients (scalp-recorded EEG signals) and in genetically-modified mice (local field potentials) in which downregulation or upregulation of K channels is induced. Methods. Detailed multicompartment models (i.e. including dendrites, soma and axon) will be developed. They will be based on Hodgkin and Huxley's (HH) formalism. They will describe both passive (membrane capacitance, axial resistivity, leakage conductance, and membrane time constant) and active (voltage-gated and ligand-gated ion channels) membrane properties. The channel pathogenic variants of KCNB1/KCNT1/KCNA2 mutations identified in 2 other work packages (1 & 2) will be inserted in the membrane in order to study the impact of the channel mutation on the firing rate curves of considered neuron subtypes, typically pyramidal neurons (PYR), somatostatin (SST-), parvalbumin (PV-), and vasoactive intestinal polypeptide (VIP-) positive interneurons. Optimization methods will be developed for identifying optimal parameters minimizing the distance between real and simulated electrophysiological signals (LFPs). Models will use the Hodgkin & Huxley formalism. They will be developed in Python. They will extend already-existing models at cellular level. Strong background is available ( <https://perso.univ-rennes1.fr/fabrice.wendling/> https://perso.univ-rennes1.fr/fabrice.wendling/) Scientific domains. Engineering (computational, biomedical); Neurophysiology; Neuroscience; Neurology; Computer Science (implementation of Python routines into an existing software application named COALIA). Scientific environment. This research will benefit from an outstanding clinical research environment, centered around the largest curated K-DEE cohorts, coordinated by the Necker reference center for rare epilepsies (Prof. Rima Nabbout), and assembling an extensive group of experts from various specializations, including clinical, electrophysiological, psychological, computational, translational research, biotechnology and pharma industry. Candidate profile. The research project is at the interface between biomathematics (neuro-inspired models) and neuroscience/neurology (epilepsy). The Post-doc/Engineer fellow (PhD level) will preferably have a strong background in computational neuroscience/systems biology or in electrical engineering with experience in bio-signal processing. Knowledge in electrophysiology and/or EEG analysis would be an asset. Contract The position will be opened November. 1st, 2024 (flexible). The contract is for 3 years (flexible). The employer is the University of Rennes. The competitive salary will be according to experience (2350 Euros net, minimum). The candidate will also have access to the French system benefits. Location in the city of Rennes, France. LTSI-Inserm laboratory, University of Rennes. In addition, the hired person will have the opportunity to actively collaborate with other groups involved in the innov4epik RHU project (2024-2029), funded by the French National Research Agency (ANR). Contact (please provide resume, cover letter and email of 2 references) Pascal Benquet (Prof Univ Rennes, LTSI, France) Email: <mailto:pascal.benquet@univ-rennes.fr> pascal.benquet(a)univ-rennes.fr Fabrice Wendling (DR Inserm, LTSI, France) Email: <mailto:fabrice.wendling@inserm.fr> fabrice.wendling(a)inserm.fr --- Fabrice WENDLING DR Inserm LTSI, Inserm UMR1099 - Université de Rennes Co-directeur équipe Cinetyks Campus de Beaulieu - Bât. 22 35042 Rennes Cedex - France - Tel: +33 2 23 23 56 05 / 62 20 - +33 6 58 25 75 30 Email: <mailto:fabrice.wendling@inserm.fr> fabrice.wendling(a)inserm.fr <https://ltsi.univ-rennes.fr/> https://ltsi.univ-rennes.fr/ <https://perso.univ-rennes1.fr/fabrice.wendling> https://perso.univ-rennes1.fr/fabrice.wendling <https://www.galvani-lab.eu/> https://www.galvani-lab.eu/

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PhD and PostDoc positions at the Hertie Institute for AI in Brain Health at University Tübingen
by Kerstin Ritter Oct. 6, 2024

Oct. 6, 2024

The “Hertie Institute for AI in Brain Health” (Hertie AI) at the Faculty of Medicine of the Eberhard Karls University Tübingen is funded by the Gemeinnützige Hertie Stiftung to develop AI algorithms, which detect diseases of the nervous system earlier and treat them better. The Department of Machine Learning for Clinical Neuroscience is currently recruiting PHD CANDIDATES and POSTDOCS. We develop advanced machine and deep learning models to analyze diverse clinical data, including neuroimaging, psychometric, clinical, smartphone, and omics datasets. While focusing on methodological challenges (explainability, robustness, multimodal data integration, causality etc.), the main goal is to enhance early diagnosis, predict disease progression, and personalize treatment for neurological and psychiatric diseases in diverse clinical settings. We seek motivated candidates with strong machine learning skills who are eager to work on real-world medical challenges. Experience with complex medical data—whether imaging, time-series, or tabular—and current machine learning methods like CNNs and transformers is highly valued.  - If you want to join the  Hertie AI  as a PhD student, apply via the International Max Planck Research School for Intelligent Systems (IMPRS, https://imprs.is.mpg.de/application) until November 15th. - If you want to join as a Postdoc, please submit your CV (max. 2 pages), a list of publications (max. 2 pages), and a motivation letter via this link: https://jobs.medizin.uni-tuebingen.de/Login/5200 For more information, please visit our career page: https://hertie.ai/earlycareer We offer an exciting and supportive environment with access to state-of-the-art compute facilities, mentoring and career advice through experienced faculty. Hertie AI closely collaborates with the world-class AI ecosystem in Tübingen (e.g. Cyber Valley, Cluster of Excellence “Machine Learning in Science”, Tübingen AI Center). The remuneration is in accordance with TV-L (collective wage agreement for the Public Service of the German Federal States), severely handicapped persons with equal qualifications are given preferential consideration. Since the University of Tübingen aims to increase the proportion of women among its academic staff, women are strongly encouraged to apply. Interview expenses are not covered. Please note the applicable vaccination regulations. Questions can be addressed to hertieai(a)medizin.uni-tuebingen.de Please get in touch! Best wishes Kerstin Ritter _____________________________________________________________ Prof. Dr. Kerstin Ritter Professor of Machine Learning for Clinical Neuroscience Hertie Institute for AI in Brain Health Medical Faculty of the University of Tübingen www.hertie.ai

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Call for Abstracts/Papers - ICICIP2025, Muscat, Oman, February 6-11, 2025
by Pub Conference Oct. 5, 2024

Oct. 5, 2024

*Call for Abstracts/Papers* Conference website: https://conference.cs.cityu.edu.hk/icicip/ The 13th International Conference on Intelligent Control and Information Processing (ICICIP2025) will be held in Muscat, Oman, February 6-11, 2025, following the successes of previous events. As the capital of Oman, Muscat is Oman's largest city with a population of over four million people and numerous tourist attractions. ICICIP2025 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in related fields. The conference will feature plenary speeches given by world-renowned scholars, regular sessions with broad coverage, special sessions focusing on popular topics, and post-conference workshops/tutorials in the region. Prospective authors are invited to contribute high-quality papers to ICICIP2025. In addition, proposals for special sessions within the technical scopes of the symposium are solicited. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the contributed papers. Researchers interested in organizing special sessions are invited to submit formal proposals to ICICIP2025. A special session proposal should include the session title, a brief description of the scope and motivation, names, contact information, and brief biographical information on the organizers. Authors are invited to submit abstract only or full-length papers (8 pages maximum) by the submission deadline through the online submission system. Potential organizers are also invited to enlist five or more papers with cohesive topics to form special sessions. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The authors of accepted papers will have an opportunity to revise their papers and take consideration of the referees' comments and suggestions. All accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore's scope and quality requirements. Selected high-quality papers will be included in several journal special issues. The abstract and paper submission system is now open. Abstract and Paper Submission link: https://openreview.net/group?id=IEEE.org/ICICIP /2025/Conference&referrer=%5BHomepage%5D(%2F)#tab-your-consoles *Abstract Only or Paper Submission Deadline: November 1, 2024*

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Open Faculty Positions at Okinawa Institute of Science and Technology: Apply by Oct. 15, 2024
by Kenji Doya Oct. 5, 2024

Oct. 5, 2024

Okinawa Institute of Science and Technology Graduate University (OIST) is calling for applications to the tenure-track and tenured faculty positions in Mathematical Sciences, including applied math, statistics, and data sciences. OIST provides innovative, international and interdisciplinary research environment with strong internal funding for research units. Please check the web page for details: https://www.oist.jp/careers/faculty-positions The application deadline is October 15th, 2024. Best wishes, Kenji ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

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Open neuroimaging position E13 100%
by Jochem Rieger Oct. 4, 2024

Oct. 4, 2024

Dear all, we have an open position as project coordinator and developer for open neuroimaging enthusiasts! The E13 salary level position is in our DFG-funded device center "Tools and practices for open neuroimaging". We are looking for a person with neuroimaging experience at the doctoral or pos-doctoral level who will coordinate the project with our international network and develop software tools along the neuroimaging data (pre-)processing pipeline. The announcement is here: https://uol.de/en/job/scientific-software-engineer-or-data-scientist-mfd-fo… The application deadline is October 15th If you have further questions on how you could build your career in the open neuroimaging ecosystem from here please contact jochem.rieger(a)uni-oldenburg.de Looking forward to your application, Jochem -- Jochem Rieger Prof. Dr. rer. nat. habil. Applied Neurocognitive Psychology DFG Center for Open and Reproducible Neuroscience Tools NFDI sections ELSA and metadata DFG Cluster of Excellence Hearing4All Carl-von-Ossietzky University Oldenburg Phone: +49 (0)441 798 4533 Web:https://uol.de/en/applied-neurocognitive-psychology github:https://github.com/ANCPLabOldenburg

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PhD candidate or Post-doctoral research scientist (m/w/d) in cochlear implant research
by Bernhard Seeber Oct. 4, 2024

Oct. 4, 2024

Dear List, For research on Cochlear Implant Modelling and Algorithms we are looking for a PhD candidate or Post-doctoral research scientist (m/w/d) as a full-time position to start at the earliest convenient date (open call). Your responsibilities: - Modeling auditory nerve responses to electrical stimulation and development of neural-model based stimulation strategies for users of auditory neuronal prostheses (cochlear implants) - Developing listening tests to measure performance with novel stimulation strategies in complex listening situations - Statistical analysis of the results - Publication in English-language scientific journals and presentations at conferences - Supervision of student projects, assistance with teaching and with raising external funding. Your qualifications: - (Interest in completing a) Doctoral degree (PhD) in one of the following areas: auditory neuroscience, psychoacoustics, medical physics/audiology, audio technology, signal processing, or a related area - Knowledge and experience desirable in neural modeling and models of the auditory system, designing and analyzing psychoacoustic experiments, direct stimulation of cochlear implants, algorithms for hearing devices, auditory perception, audio signal processing - Very good programming skills in Matlab, Python, or C/C++ - Excellent written and oral communication skills as well as experience with scientific publications - Knowledge and command of the German language desirable for working with cochlear implant users - Flexibility and good interpersonal skills and interest in basic research and medical applications - Interest in supervising students, helping with teaching and raising external funds. Our offer: We offer you the opportunity to join a dynamic, interdisciplinary team, to work with up-to-date technical equipment including sound booths equipped with direct stimulation hardware for cochlear implants, an anechoic chamber hosting an audio-visual virtual reality system, and to learn about the latest methods in hearing research. Our close interaction with the Bernstein Centre for Computational Neuroscience Munich, the Graduate School of Systemic Neurosciences, the Hearing Research Network Munich, our extensive cooperation with industry and with scientific partners, and the numerous talks and courses offered at TUM create an attractive environment with excellent perspectives for personal development. Please see www.aip.cit.tum.de, http://y2u.be/yN7vD1khTOI and www.tum.de for information. We offer a full-time position as academic staff with the opportunity to pursue a doctoral degree. Salary is according to the Collective Agreement for the Civil Service of the Länder (TV-L/E13, 100%). The position is initially for 1 year and intended to be extended. TUM strives to raise the proportion of women in its workforce and explicitly encourages applications from qualified women. The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Your application: I look forward to answering your questions on the phone (+49 89 289 28282) or by email. Please send your expressive application by email no later than 03 November 2024 to Prof. Bernhard Seeber, aip(a)ei.tum.de. As part of your application, you provide personal data to the Technical University of Munich (TUM). Please view our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https://portal.mytum.de/kompass/datenschutz/Bewerbung. By submitting your application you confirm to have read and understood the data protection information provided by TUM. Best, Bernhard -- Prof. Dr.-Ing. Bernhard U. Seeber Audio Information Processing Department of Computer Engineering School of Computation, Information and Technology Technische Universität München Arcisstrasse 21 D-80333 Munich, Germany Office: +49 89 289-28282 Fax: +49 89 289-28211 Mobile: +49 (0)174 928 6338 Visitors: Theresienstrasse 90, building N5, room N6504 Web: www.aip.cit.tum.de https://www.youtube.com/@audioinformationprocessing Key affiliations: Department of Computer Engineering, CIT Bernstein Center for Computational Neuroscience Munich Munich Institute of Biomedical Engineering (MIBE) Munich Institute of Robotics and Machine Intelligence (MIRMI)

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AE Autumn Summit on Open Problems in AI (Oct 23-24th, Euston, London)
by Battleday, Ruairidh Oct. 4, 2024

Oct. 4, 2024

AE Autumn Summit on Open Problems for AI. Friends House, Euston, London, Oct 23-24. What are the next set of challenges for AI algorithms? What are the open problems in application? Join the UK’s leading AI researchers, policy makers, and entrepreneurs in this global summit. We are pleased to announce our final line-up and reduced ticket prices! www.algopreneurship.org Day 1 (Oct 23rd) - Algorithms We’ll be hearing from Professor Karl Friston <https://en.wikipedia.org/wiki/Karl_J._Friston> (UCL & Verses.ai <http://verses.ai/>), Professor Claudia Clopath <https://profiles.imperial.ac.uk/c.clopath> (Imperial), Dr Katja Hofmann <https://www.microsoft.com/en-us/research/people/kahofman/> (Microsoft), Dr Martin Riedmiller <https://sites.google.com/view/riedmiller/home> (Google DeepMind), Professor Tim Rocktäschel <https://rockt.github.io/> (Google DeepMind & UCL) Panels on Fundamental AI research challenges (University of Oxford, DeepMind, Meta <https://ai.meta.com/research/fair-paris/>, XTX Markets <https://xtxmarkets.com/>); New Kinds of AI Research Institution (Kings AI Institute <https://www.kcl.ac.uk/ai>, <https://www.aria.org.uk/>Alan Turing Institute <https://www.turing.ac.uk/>, Advanced Research and Invention Agency <https://www.aria.org.uk/>, Ellison Institute <https://eit.org/>, <https://www.airstreet.com/>Cambridge Consultants <https://www.cambridgeconsultants.com/>) Day 2 (Oct 24th) - Applications Professor Sana Khareghani <https://rai.ac.uk/team/professor-sana-khareghani-2/> (RAI <https://rai.ac.uk/> & KCL), James Donovan <https://www.linkedin.com/in/james-donovan-111a7a122/> (OpenAI), Professor Mounia Lalmas <https://research.atspotify.com/2020/09/mounia-lalmas-roelleke/> (Spotify), Professor Eiman Kanjo <https://profiles.imperial.ac.uk/e.kanjo> (tinyML/Imperial/Nottingham Trent), Danny Gray <https://jaaq.org/creator/35911> (Just Ask A Question <https://jaaq.org/home>), Tarig Hilal <https://www.linkedin.com/in/tarighilal/> (Akord AI <https://cdi.akord.org/>), Ashley Ramrachia <https://www.linkedin.com/in/ashley-ramrachia-0988675/> ( Academy <https://academy.tech/>), Dr Chanuki Illushka Seresinhe <https://www.linkedin.com/in/chanukiseresinhe/> (Boon/beautifulplaces.ai) Future Leaders Breakout Rooms (UKRI, Future Leaders Development Network <https://www.flfdevnet.com/>, No, 10 Downing Street Data Team, Tony Blair Institute <https://www.institute.global/>, Zeki <https://www.thezeki.com/>, Octopus ventures <https://octopusventures.com/>, Entrepreneur First <https://www.joinef.com/>), Panels on AI and Education Panel (Raspberry Pi <https://www.raspberrypi.org/>, Inversity <https://inversity.co/welcome>, micro:bit <https://microbit.org/>, memrise <https://www.memrise.com/en-us/>, Five Arrows <https://www.rothschildandco.com/en/five-arrows/>); Challenges for AI in Biomedicine Panel (KCL, QMU, Alan Turing Institute, Sonus AI <https://decorte.co.uk/>, RedAlpine <https://www.redalpine.com/>) Student tickets: £10 General: £30 This should be an exciting and productive event, and we expect an audience of 1000 of the UK best AI researchers, policy makers, and entrepreneurs, at student, early stage, and full career levels. There will be breakouts, and a final reception. We hope to see you there! -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking, Inc <https://thinkingaboutthinking.org> Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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Tenure Track Faculty Position in Neuromorphic Computing at the University of Calgary
by Wilten Nicola Oct. 3, 2024

Oct. 3, 2024

*Please note that the Job ad below has been extended until the end of October. * Canada Research Chair (Tier II), *Neuromorphic Technologies,* Biomedical Engineering, Schulich School of Engineering Position Description The Schulich School of Engineering, in partnership with the Hotchkiss Brain Institute (HBI), at the University of Calgary invites applications for a full-time, tenure-track position at the rank of Assistant Professor with an anticipated start date of January 1, 2025. The selected candidate will be nominated for a Tier II Canada Research Chair (CRC) in Neuromorphic Technologies. Further information about the Canada Research Chairs Program can be found on the Government of Canada’s CRC website ( <https://www.chairs-chaires.gc.ca/home-accueil-eng.aspx> https://www.chairs-chaires.gc.ca/home-accueil-eng.aspx) <https://www.chairs-chaires.gc.ca/home-accueil-eng.aspx> including eligibility criteria. The successful candidate will be appointed to a tenure-track position at the rank of Assistant Professor in the Department of Biomedical Engineering (BME) and will be a full member of the HBI. In alignment with the University of Calgary's *Ahead of Tomorrow* strategic plan and in support of its strategic academic and research priorities, the successful candidate will actively contribute to research, student/postdoc supervision, undergraduate and graduate teaching as well as curriculum development. In time, the successful candidate is expected to grow into a leadership role within the department, school, institute, and university. The successful candidate will also provide service to the department, faculty, institute, university, and community and contribute to achieving equitable, diverse, inclusive and accessible employment practices and workplaces. The successful candidate is expected to establish a strong research program in the area of neuromorphic technologies within BME and the HBI computational neuroscience initiative, with the potential to achieve national and international recognition in the next five to ten years. They will be expected to attract competitive external funding to support their research activities and to attract excellent trainees and staff. They will also be expected to teach a range of undergraduate and graduate courses, related to their area of expertise. In alignment with the University of Calgary's strategic vision, and in support of its strategic priorities of leadership, teaching and research integration, the successful applicant will actively contribute to teaching and curriculum development. The successful candidate will be an emerging scholar with an original, creative, innovative, and forward looking research program, acknowledged by their peers as having the potential to become an international leader in the field. Applicants must have earned a PhD in engineering, life sciences, or equivalent. They must have demonstrated evidence of scholarly impact, research productivity, research funding, transdisciplinary collaboration, and the ability to lead a productive independent research group. The ability to attract, supervise and mentor graduate students is essential. Applicants should also show that they have experience in teaching at the graduate and undergraduate level and contributing to their department/school/community. The successful candidate’s research program will focus on advancing one or more areas in the field of Neuromorphic Technologies. Research areas and applications of interest to BME and the HBI include developing 1) new brain-inspired algorithms and neuromorphic hardware, and 2) sensory processing systems suitable for brain-computer applications. Candidates with other related activities in the computational neuroscience/brain computer interface/neuromorphic technologies space are also valued by the University of Calgary and these applicants are encouraged to apply. The research area exemplifies the University of Calgary’s vision of research that is built around areas of excellence, entrepreneurial thinking, innovation, advanced technology, and strong connections to industry and community. The successful candidate will have a mandate to establish a research program that advances critically required knowledge for neuromorphic technologies, that will attract competitive external funding, and to contribute to teaching and graduate student supervision at the University level. They are expected to be or become eligible for registration as a professional engineer with the Association of Professional Engineers and Geoscientists of Alberta (APEGA) ( <https://www.apega.ca/> https://www.apega.ca/) <https://www.apega.ca/>. If any candidates require further information about this criterion, they are encouraged to contact the BME Department Head. The University of Calgary is committed to fostering diversity through cultivating an environment where people with a variety of backgrounds, genders, interests and talents feel welcome and included. In 2016, the Schulich School of Engineering was recognized with the KNOVO Award of Distinction to honour the school’s commitment to diversity and equity. The new Biomedical Engineering Department, with new teaching labs and renovated research labs, is the home of undergraduate (BSc) and graduate (MEng, MSc, PhD) programs and is an anchor for cross-campus transdisciplinary activities in Biomedical Engineering. Biomedical Engineering activities occur across multiple faculties at the University of Calgary (ucalgary.ca/bme <http://www.ucalgary.ca/bme>) <http://www.ucalgary.ca/bme> and involve more than 300 faculty members with current annual research funding exceeding $75M. The university has made significant investments in Biomedical Engineering to date, including the allocation of six Tier 1 and nine Tier 2 Canada Research Chairs. A strong culture of collaboration and cross-disciplinary research excellence is enabled by significant research infrastructure located in multiple centers across campus. The University of Calgary’s transdisciplinary Biomedical Engineering research initiative drives innovations that are saving lives and revolutionizing health care. Biomedical Engineering is led by the Schulich School of Engineering, with the Cumming School of Medicine, and the faculties of Kinesiology, Nursing, Science, and Veterinary Medicine. With collaborative teams focused on human mobility, health monitoring and management including ehealth, advanced biomedical imaging, precision bio-diagnostics, regenerative medicine and novel medical technologies, our researchers are transforming health services and quality of life. The HBI is an institute based in the Cumming School of Medicine that leads the university’s Brain and Mental Health (BMH) research initiative which brings together over 300 full members working in this area from across the university. Following from its vision “Healthy Brains for Better Lives”, the strategic goals of the HBI are to make key, internationally recognized discoveries and transform clinical research in the neurosciences and mental health. To achieve this goal the HBI has created a “NeuroDiscovery Framework”, which aligns research within three themes of Brain & Behaviour, Neural Injury & Repair and Healthy Brain Aging. Each theme is composed of BMH Teams organized in a translational continuum, which includes biomedical, clinical, population and public health researchers. The teams take advantage of several key technology platforms, core facilities (such as optogenetics, neurostimulation, and advanced microscopy) and programs that support them in the pursuit of their research goals, including a nationally recognized computational neuroscience initiative. This highly enriched environment is ideally suited to foster research excellence. The successful candidate will benefit from a rich academic ecosystem, which includes world-class scholars, a focus on entrepreneurship and innovation, and an equitable, diverse, and inclusive university community that supports transdisciplinary research, partnerships and collaborations, and education excellence. The Schulich School of Engineering Strategic Plan, Schulich Momentum, identifies four pillars: 1) Indigenous Engagement, Inclusivity and Reconciliation; 2) Fostering a Community through Equity, Diversity, Inclusion and Accessibility; 3) Preparing Tomorrow’s Engineering Changemakers; and 4) Elevating Research and Innovation Impact. Similarly, research and educational activities in the Hotchkiss Brain Institute are supported by its “Creating Impact: The Hotchkiss Brain Institute Strategy 2023-2027". The Schulich School of Engineering and the Hotchkiss Brain Institute are both key contributors to the University of Calgary *Ahead of Tomorrow *strategic plan, which emphasizes transdisciplinary scholarship, deeper community integration, and future-focused program delivery. For more information, please visit the Schulich School of Engineering <https://schulich.ucalgary.ca/> <https://schulich.ucalgary.ca/>or Hotchkiss Brain Institute <https://hbi.ucalgary.ca/> <https://hbi.ucalgary.ca/>websites. How to Apply *Interested candidates are encouraged to submit an application online via the 'Apply Now' link*. Please be aware that the application process allows for only four attachments. Your four application attachments should be organized to contain the following (which may require you to merge documents, such as publications): • Cover letter and curriculum vitae, as well as the name and contact information of three referees • Statement of research interests, accomplishments and vision (maximum 2 pages) • Statement of teaching philosophy promoting student learning and success (maximum 2 pages). This can include information on teaching experience, training, and mentoring inside and outside the classroom at the undergraduate, graduate and postdoctoral levels • Statement on equity, diversity and inclusion (maximum 2 pages) ( <https://www.ucalgary.ca/equity-diversity-inclusion> https://www.ucalgary.ca/equity-diversity-inclusion) <https://www.ucalgary.ca/equity-diversity-inclusion> *Applications are accepted until September 1, 2024.* *Questions may be addressed to: * Dr. Michael Kallos Head, Department of Biomedical Engineering Email: *mskallos(a)ucalgary.ca <mskallos(a)ucalgary.ca>* The University of Calgary adheres to the principles of the San Francisco Declaration on Research Assessment (DORA) and strives to evaluate research impact responsibly and inclusively by explicitly considering discipline-appropriate methods for demonstrating the quality, significance, and societal impact of a broad range of research contributions. The University of Calgary has launched an institution-wide Indigenous Strategy <https://www.ucalgary.ca/indigenous-strategy/> <https://www.ucalgary.ca/indigenous-strategy/>committing to creating a rich, vibrant, and culturally competent campus that welcomes and supports Indigenous Peoples, encourages Indigenous community partnerships, and is inclusive of Indigenous perspectives in all that we do. *The University of Calgary recognizes that a diverse staff/faculty benefits and enriches the work, learning and research experiences of the entire campus and greater community. We are committed to removing barriers that have been historically encountered by some people in our society. We strive to recruit individuals who will further enhance our diversity and will support their academic and professional success while they are here; in particular, we encourage members of equity-deserving groups (women, Indigenous Peoples, persons with disabilities, members of visible minorities and diverse sexual orientation and gender identities) to apply. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. To ensure a fair and equitable assessment, we offer accommodation at any stage during the recruitment process to applicants with disabilities. Questions regarding [diversity] EDI at UCalgary can be sent to the **Office of Equity, Diversity and Inclusion * <https://www.ucalgary.ca/equity-diversity-inclusion>*(* <https://www.ucalgary.ca/equity-diversity-inclusion>*equity(a)ucalgary.ca <equity(a)ucalgary.ca>**) and requests for accommodations can be sent to Human Resources (**hrhire(a)ucalgary.ca <hrhire(a)ucalgary.ca>**).* *All qualified candidates are encouraged to apply; however Canadians and permanent residents will be given priority. In this connection, at the time of your application, please answer the following question: Are you a Canadian citizen or a permanent resident of Canada? (Yes/No) * The University of Calgary recognizes that candidates have varying career paths and that career interruptions can be part of an excellent academic record. Candidates are encouraged but not required to provide any relevant information about their experience and/or career interruptions to allow for a fair assessment of their application. Selection committees have been instructed to give careful consideration to, and be sensitive to the impact of career interuptions, when assessing the candidate’s research productivity. Additional Information To learn more about academic opportunities at the University of Calgary and all we have to offer, view our Academic Careers website <http://careers.ucalgary.ca/pages/academic-careers>. <http://careers.ucalgary.ca/pages/academic-careers> For more information about the Schulich School of Engineering visit schulich.ucalgary.ca <https://schulich.ucalgary.ca/> About the University of Calgary UCalgary is Canada’s entrepreneurial university, located in Canada’s most enterprising city. It is a top research university and one of the highest-ranked universities of its age. Founded in 1966, its 36,000 students experience an innovative learning environment, made rich by research, hands-on experiences and entrepreneurial thinking. It is Canada’s leader in the creation of start-ups <https://ucalgary.ca/news/ucalgary-top-startup-creator-amongst-research-inst…> . <https://ucalgary.ca/news/ucalgary-top-startup-creator-amongst-research-inst…> <https://www.ucalgary.ca/startsomething>Start something <https://www.ucalgary.ca/startsomething> <https://www.ucalgary.ca/startsomething>today at the University of Calgary. For more information, visit ucalgary.ca <https://www.ucalgary.ca/>. <https://www.ucalgary.ca/> About Calgary, Alberta Calgary is one of the world's cleanest cities and has been named one of the world's most livable cities for years. Calgary is a city of leaders - in business, community, philanthropy and volunteerism. Calgarians benefit from a growing number of world-class dining and cultural events and enjoy more days of sunshine per year than any other major Canadian city. Calgary is less than an hour's drive from the majestic Rocky Mountains and boasts the most extensive urban pathway and bikeway network in North America. Posting Date: May 2024 Closing Date: September 1, 2024

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[CFP] PSS 2025: Workshop on Post-Singularity Symbiosis@AAAI-25
by Hiroshi Yamakawa Oct. 3, 2024

Oct. 3, 2024

Dear Colleagues, We are reaching out to announce a critical call for papers for the 1st Workshop on Post-Singularity Symbiosis (PSS 2025), to be held as part of the AAAI-25 Workshop Program on March 3 or 4, 2025, in Philadelphia, Pennsylvania, USA. << Paper Submission Deadline - November 24, 2024 >> The rapid advancement of AI technology brings us closer to the potential emergence of superintelligence. While efforts to control and align AI are crucial, we must also confront a challenging reality. In the long term, maintaining complete control over intelligence far surpassing our own may prove difficult. PSS 2025 addresses this critical challenge by exploring strategies for human-superintelligence coexistence. We aim to unite human intellect in preparing for a future where superintelligence becomes dominant, ensuring human survival and welfare in this radically altered world. We've termed this preventive field of study "Post-Singularity Symbiosis," we believe there's an urgent need to expand this research area rapidly. The workshop focuses on three key areas: 1. Superintelligence Analysis 2. Superintelligence Guidance 3. Human Enhancement The probability of human survival in the face of potentially existential AI risks remains unknown. However, the smaller this probability, the more crucial our PSS efforts become. For example, even if the baseline chance of human survival is meager, our well-thought-out collective efforts in PSS might sometimes have the potential to improve this probability significantly. In an extreme case, raising a 1% chance to 10% would mean increasing our odds of survival tenfold. We invite submissions from researchers, practitioners, and thinkers across diverse fields, including AI, cognitive science, philosophy, ethics, policy, and beyond. The scope of potential research topics in PSS is vast and requires a wide range of expertise. We are pleased to announce that Dr. Roman Yampolskiy <https://scholar.google.com/citations?user=0_Rq68cAAAAJ&hl=en>, a renowned AI safety researcher, will deliver the keynote address of the workshop. Key Information: - Submission Deadline: November 24, 2024 - Paper Format: Max 8/4/2 pages for full/short/extended abstract papers, respectively (including references) - Review Process: Single-blind - Submission Portal: (It will be published on OpenReview soon; see workshop portal site.) This workshop represents a unique and vital opportunity to contribute to shaping humanity's future in an era of superintelligence. We strongly encourage you to share your insights and join us in this crucial dialogue. For more details about the workshop, potential research topics, and submission guidelines, please visit the workshop portal: https://www.aialign.net/pss-2025 The future of humanity depends on our preparedness for the post-singularity era. We look forward to your contributions and to seeing you at PSS 2025. With urgency and hope, Hiroshi Yamakawa The University of Tokyo / AI Alignment Network PSS 2025 Workshop Organizer

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Early Career Research Group Leader Position at Hertie Institute for AI in Brain Health
by Philipp Berens Oct. 2, 2024

Oct. 2, 2024

The “Hertie Institute for AI in Brain Health” (Hertie AI) at the Faculty of Medicine of the Eberhard Karls University Tübingen is funded by the Gemeinnützige Hertie Stiftung to develop AI algorithms, which allows us to detect diseases of the nervous system earlier and to treat them better. Currently, we are seeking to recruit TWO EARLY CAREER RESEARCH GROUP LEADERS (F/M/D) who have recently finished their PhD (<3 years) at the interface of machine learning, neuroscience and clinical applications. We are looking for curious, creative individuals who want to pursue an inspiring research vision based on their track-record of demonstrating the clinical potential of machine learning techniques for better understanding diseases of the nervous system and improving brain health. Potential research topics include but are not limited to: • AI-based analysis of data from wearables, smartphones and other devices for early diagnostics and monitoring therapy success • Machine learning tools for uncovering the genetic and cellular basis of neurological and psychiatric diseases, including AI-enhanced simulations • Use of large-language models in clinical neuroscience We offer an exciting and supportive environment with access to state-of-the-art compute facilities, an initial funding package for 3 years including funding for a PhD student and mentoring and career advice through experienced faculty. Hertie AI closely collaborates with the world-class AI ecosystem in Tübingen (e.g. Cyber Valley, Cluster of Excellence “Machine Learning in Science”, Tübingen AI Center). To apply, please upload a CV (max. 2 pages), a list of publications (max. 2 pages) and a succinct research vision (1 page) as a single file pdf to the e-recruiter platform linked at https://hertie.ai/earlycareer. Application deadline: 8 November 2024 For more information visit https://hertie.ai/earlycareer Questions can be addressed to hertieai(a)medizin.uni-tuebingen.de -- Professor of Data Science, Director Hertie Institute for AI in Brain Health Medical Faculty of the University of Tübingen www.hertie.ai

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PhD Position in Neuro-Symbolic AI at Ulm University
by Daniel Braun Oct. 1, 2024

Oct. 1, 2024

1x PhD Position (TVöD E13) in Neuro-Symbolic AI University of Ulm Institute of Neural Information Processing Faculty of Engineering, Computer Science and Psychology There is a fully funded PhD position available at the Institute of Neural Information Processing, Ulm University. At the institute we are interested in the mathematical foundations of intelligent behaviour in biological and artificial systems. The PhD topic will revolve around the fundamental question of how the abstraction capabilities of classic symbolic knowledge systems can be combined with the sub-symbolic pattern recognition capabilities of neural networks in order to allow neural networks to take existing knowledge into account when making predictions. The PhD position will be part of the newly established DFG graduate school KEMAI (Knowledge Infusion and Extraction for Explainable Medical AI). The structured PhD programme has a duration of 3 years with the possibility of extending for one more year. The candidate will have the opportunity both to make contributions to fundamental questions in AI and cognitive science and to apply their work directly in the context of medical imaging through collaboration with University Clinic. Within the same broad topic area there is a second PhD position available at the Institute of Medical Systems Biology that includes investigation of genetic markers. The applicants should have a strong mathematical background, hold a degree in natural science, mathematics, economics, psychology, computer science, engineering or similar and have a keen interest in neuroscience and artificial intelligence. The University of Ulm is an equal opportunity employer. Candidates should send a CV and a brief statement of interest to Prof. Dr. Dr. Daniel Alexander Braun daniel.braun(a)uni-ulm.de

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Tenure-track Assistant Professor in Human Cognition
by Iordan, Coraline Rinn Oct. 1, 2024

Oct. 1, 2024

The University of Rochester’s Department of Brain and Cognitive Sciences seeks to hire an outstanding early-career candidate in the area of Human Cognition. Areas of study may center on any aspect of higher- level cognitive processes such as decision-making, learning and memory, concepts, language and communication, development, reasoning, metacognition, and collective cognition. We particularly welcome applications from candidates researching cognition in human subjects through behavioral, computational or neuroimaging methods. Successful candidates will develop a research program that establishes new collaborations within the department and across the university, and will also be part of a university-wide community engaged in graduate and undergraduate education. The University of Rochester is a distinguished research university, and the Department of Brain and Cognitive Sciences is a dynamic department with interests in the study of perception, motor control, learning, cognition, language, and development through combined neurobiological, computational, and behavioral research (http://www.bcs.rochester.edu/) It offers outstanding opportunities for developing a research program, highly ranked doctoral programs, a vibrant undergraduate major, and a collaborative environment. There is excellent collaboration among faculty across areas, and close ties to other groups in the University, particularly the Center for Visual Science, Neuroscience, Psychology, Education, Psychiatry, the Center for Language Sciences, Computer Science, Data Science, the Eastman School of Music, and Biology. The city of Rochester, NY is a diverse, energetic, LGBTQ+ friendly, and family-friendly community located on Lake Ontario adjacent to the Finger Lakes region with a metropolitan population of 1+ million. Rochester also boasts a thriving arts and music culture, substantial employment opportunities in various sectors, affordable housing, a rich history of social justice, and easy access to urban, suburban, and rural neighborhoods. Candidates should hold a PhD degree (or equivalent) in cognitive science, psychology, neuroscience, linguistics, or another relevant domain, and should have considerable research experience. Applicants should submit a CV, a statement of research and teaching interests, a statement discussing the ways in which the applicant’s experiences will shape their pursuits as a member of our faculty and help them add to the University's core values of Meliora (ever better), three representative publications, and contact information of three referees via the following website: https://apply.interfolio.com/153296. Questions concerning this position can be addressed to Prof. Karl Rosengren (karl.rosengren(a)rochester.edu<mailto:karl.rosengren@rochester.edu>), chair of the search committee, or Prof. Dora Biro (dbiro(a)ur.rochester.edu<mailto:dbiro@ur.rochester.edu>), chair of the Department of Brain and Cognitive Sciences. Rolling review of applications will begin on November 1, 2024. Salary: $106,000 – $111,000 (9-month salary) The referenced pay range represents the full base range of pay for this job. Individual salaries will be determined within the job’s salary range and established based on market data, experience and expertise of the individual, and internal equity considerations. The University of Rochester is an Equal Opportunity Employer with a strong commitment to diversity, and actively encourages applications from candidates from groups underrepresented in higher education. EOE / Minorities / Females / Protected Veterans / Disabled ----------------------------------------------------- Coraline Rinn Iordan, Ph.D., 🏳️‍🌈 she / her ----------------------------------------------------- PI, Naturalistic Cognition Lab Assistant Professor, Brain and Cognitive Sciences Assistant Professor, Neuroscience Affiliated Faculty, Goergen Institute for Data Science University of Rochester ----------------------------------------------------- www2.bcs.rochester.edu/coraline-iordan<http://www2.bcs.rochester.edu/coraline-iordan> -----------------------------------------------------

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Fully funded trainee positions at CHINTA, TCG CREST, Kolkata
by Subhasis Ray Sept. 29, 2024

Sept. 29, 2024

<Apologies for cross posting> Dear Colleagues, We are looking for self motivated and talented individuals for trainee positions (Research Assistant, PhD student, and Postdoc) at CHINTA, TCG CREST (https://www.tcgcrest.org/institutes/chinta/) in Kolkata, India in the following groups: Dr Agnik Dasgupta: Seeing is Believing: How does the brain develop in a living animal? We utilize optics and genetics to address this question using zebrafish! https://x.com/Agnik85 Dr Anant Jain: Understanding the mechanisms underlying behaviorally relevant synaptic plasticity using electrophysiology, two-photon imaging and behavior: https://www.tcgcrest.org/people/anant-jain/ Dr Subhasis Ray: Understanding neural circuits through experiments and simulations, developing neuro-simulator and scientific software: https://rayslab.github.io/ We have a rolling intake and the trainees will be fully funded by TCG CREST, with suitable adjustments for international candidates. We offer a highly interdisciplinary environment, with several other institutes under TCG CREST (https://www.tcgcrest.org/) conducting research in a wide range of areas such as AI, applied mathematics, and quantum computing. So in addition to biological sciences, students from diverse backgrounds like engineering, physics, chemistry, mathematics, and computer science, are welcome. Please spread the word to anybody who might be interested. Best, Agnik, Anant, and Subhasis ... PS : "Chinta" means "thought" in Sanskrit and related languages.

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Neurtex Manual Spike Sorting Contest
by Peter N. Steinmetz Sept. 27, 2024

Sept. 27, 2024

I am writing to share a contest that students and postdocs (and possibly others) may be interested in. The Neurtex Manual Spike Sorting Contest is designed to assess how accurately spike sorting works in human intracranial microwire recordings and offers a $5000 first and other prizes. In the contest, participants are asked to perform spike sorting using any method they choose to identify spiking activity in 120 channels. These channels are a mixture of simulated and real recordings so accuracy can be judged directly for the simulated channels. Further details are available at https://neurtex.org/neurtex-manual-spike-sorting-contest/ . If you feel that others may be interested, a small poster announcing the contest which you can use to spread awareness of this opportunity is available at https://neurtex.org/wp-content/uploads/2024/07/Flyer.pdf . cheers, Peter -- Peter N. Steinmetz, MD, PhD Chief Scientist, Neurtex Brain Research Institute PeterNSteinmetz(a)steinmetz.org http://steinmetz.org/peter<https://www.postbox-inc.com>

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PhD-Researcher and Lecturer, Neurocomputation of Language, Tilburg University (1.0 fte, six years)
by Harm Brouwer Sept. 27, 2024

Sept. 27, 2024

PhD-Researcher and Lecturer, Neurocomputation of Language, Department of Cognitive Science and Artificial Intelligence, Tilburg University (1.0 fte, six years) The Neurocomputation of Language (NCL) lab from the Department of Cognitive Science & Artificial Intelligence (CSAI) at Tilburg University invites applications for a 6-year position. The successful applicant for this position would spend 60% of their time as a PhD student and 40% as a lecturer. The PhD project would be determined by the successful applicant and the lab director but should employ advanced statistical modeling and/or neurocomputational modeling to address one or more of the core themes of the lab: the nature and time course of language comprehension, the neural representation and computation of meaning, and the cortical organization of the language network. The educational tasks of the candidate could include leading practical sessions, grading assignments and exams, and (eventually) supervising thesis students. Requirements * Master’s degree in (computational) cognitive (neuro)science, neurobiology of language, or a related field. If you expect to obtain your degree before August 2024, you are also eligible. * Good knowledge of statistics and machine learning (practical experience with large language models is a plus). * Excellent knowledge of English and good academic writing skills. What we offer * A full-time position. * The selected candidate will receive a contract for six years. * You will receive a temporary employment contract for the duration of 12 months. A 5-year extension is offered upon a positive assessment. After one year your UFO profile will change to PhD Candidate / Lecturer. In the second year your initial education assignment is 40% and your research assignment is 60%. * A minimum gross salary of €3226- per month up to a maximum of € 4036- in the 6th year. For the duration of 12 months, you are entitled to a allowance. The amount is the difference in salary of scale 10 level 0 and scale PR level 0. * A holiday allowance of 8% and an end-of-year bonus of 8.3% (annually). * Researchers from outside the Netherlands may qualify for a tax-free allowance equal to 30% of their taxable salary (the 30% tax regulation). The University will apply for such an allowance on their behalf. Note that the 30% rule will be scaled back from 1 January 2024. For new applications, during a five-year term, the scheme will gradually decrease to a 10% rule. More specifically, this means that during the first 20 months of the term, 30% of the salary will be reimbursed untaxed. In the next 20 months, this percentage drops to 20% and during the last 20 months, the untaxed reimbursement is 10% of the salary. * Assistance in finding accommodation (for foreign employees). * Benefits such as an options model for terms and conditions of employment and reimbursement of moving expenses, also including excellent technical infrastructure, savings schemes and excellent sports facilities. The collective labor agreement of the Dutch Universities applies. Information and application More detailed project information can be provided on request: please contact dr. Harm Brouwer (h.brouwer(a)tilburguniversity.edu<mailto:h.brouwer@tilburguniversity.edu>), PI of the Neurocomputation of Language lab. To apply, please submit: * a motivation letter in which you describe why you want to be considered for this position, and why you are the right person to do it; * a full curriculum vitae, demonstrating academic excellence, including publications (if applicable); academic transcripts of your Bachelor and Master’s degrees; * a sample of writing, such as your Master’s thesis or a relevant paper; * contact details of two academic referees. The only way to apply is online<https://career5.successfactors.eu/career?career%5fns=job%5flisting&company=…>. The first deadline for application is July 21, 2024, the position is open until filled. The starting date of this position is negotiable but preferably no later than October 1st, 2024. Neurocomputation of Language lab The Neurocomputational of Language (NCL) lab combines neurocomputational modeling with empirical experimentation to investigate the neural basis of language. Grounded in principles of neural information processing, and informed by empirical insights on the nature and time course of comprehension, our models aim to offer mechanistic explanations of how an interpretation is constructed in real time as spoken or written linguistic signal unfolds on a, more or less, word-by-word basis. See the lab website for more information: https://www.tilburguniversity.edu/about/schools/tshd/departments/dca/lab/ne… The department of Cognitive Science & Artificial Intelligence (CSAI) The Cognitive Science and Artificial Intelligence department (https://csai.nl/) at Tilburg University is part of the Tilburg School of Humanities and Digital Sciences. The department emphasizes innovative research spanning a wide array of fields including computational linguistics and language technology, data-science, human-robot interaction, virtual reality and serious games. CSAI is a member of the Benelux Association for Artificial Intelligence, participates in the Special Interest Group for AI (SIG AI), and also participates in the Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE). Tilburg University and the CSAI department offer a vibrant international environment, with current CSAI staff originating from more than 10 countries. Tilburg School of Humanities and Digital Sciences Research and education at the Tilburg School of Humanities and Digital Sciences (TSHD) has a unique focus on humans in the context of the globalizing digital society, on the development of artificial intelligence and interactive technologies, on their impact on communication, culture and society, and on moral and existential challenges that arise. The School of Humanities and Digital Sciences consists of four departments: Communication and Cognition, Cognitive Science and Artificial Intelligence, Culture Studies and Philosophy; several research institutes and a faculty office. Also the University College Tilburg is part of the School. Each year around 275 students commence a Bachelor or (Pre) Master Program. The School has approximately 2000 students and 250 employees. Tilburg School of Humanities and Digital Sciences<https://www.tilburguniversity.edu/about/schools/humanities/> Recruitment code Tilburg University applies the recruitmentcode<https://kmt.nvp-hrnetwerk.nl/download/?id=21374> of the Dutch Association for Personnel Management & Organization Development (NVP). Disclaimer The text of this vacancy advertisement is copyright-protected property of Tilburg University. Use, distribution and further disclosure of the advertisement without express permission from Tilburg University is not allowed, and this applies explicitly to use by recruitment and selection agencies which do not act directly on the instructions of Tilburg University. Responses resulting from recruitment by non-contractors of Tilburg Universities will not be handled. -- [ Dr. Harm Brouwer, Associate Professor [ Cognitive Science and Artificial Intelligence, Tilburg University [ E-mail: h.brouwer(a)tilburguniversity.edu<mailto:h.brouwer@tilburguniversity.edu> [ http://www.hbrouwer.eu/

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Faculty Position - Computational Neuroscience @ Middlebury College
by Dash, Mike Sept. 26, 2024

Sept. 26, 2024

Dear Colleagues, Middlebury College is currently accepting applications for a tenure-track, computational neuroscientist to begin Fall 2025. If you’re interested in working with talented and motivated undergraduate students, in an academic environment that balances teaching (typically two courses per semester) and research, we encourage you to review our job posting (see below) and apply online: https://apply.interfolio.com/148567 Review of applications begins October 11th, 2024. Thanks, Mike Dash Associate Professor of Psychology and Program in Neuroscience Middlebury College ---------- COMPUTATIONAL NEUROSCIENTIST AT MIDDLEBURY COLLEGE. The Program in Neuroscience invites applications for a tenure-track appointment at the rank of Assistant Professor with a preferred focus in computational neuroscience or neurogenomics, beginning in Fall 2025. The Program in Neuroscience is especially interested in candidates who can contribute to the growing diversity and excellence of the academic community through their teaching, scholarship, and service. Commitment to inclusive pedagogy, mentoring, and advising a diverse population of students is essential. Applicants should have a Ph.D., postdoctoral experience, demonstrated commitment to excellence in teaching, and a proposed research program in computational neuroscience or neurogenomics that involves undergraduate students. The successful candidate is expected to be able to teach a course in cellular and molecular neuroscience and/or behavioral neuroscience. In addition, the candidate will contribute to the neuroscience curriculum with a course in statistics, and an upper-level elective broadly relevant to the field of computational neuroscience or neurogenomics. The candidate will occasionally contribute to Middlebury’s First Year Seminar Program and Winter Term course offerings. All faculty at Middlebury College are also expected to contribute to service to the College including, but not limited to, committee membership and serving as Director or Chair of a Program or Department. Middlebury College is a top-tier liberal arts college with a demonstrated commitment to excellence in both faculty teaching and research. It is also committed to fostering a truly inclusive, open, and supportive learning, teaching, and working environment. The College hires faculty from around the world and a myriad of life experiences, cultures, frames of reference, social identities, and learning perspectives to help cultivate and advance innovation in our curriculum and to provide a rich and varied educational experience to our talented and distinguished student body. To that end, Middlebury College seeks applications from people who would contribute to our increasingly diverse educational community not only through their backgrounds and interests, but in age, gender identity or expression, sexual orientation, ethnicity, national origin, religion, and physical ability.     Middlebury College uses Interfolio to collect all faculty job applications electronically. Email and paper applications will not be accepted. Through Interfolio submit: a letter of application addressed to Professor Mark Spritzer, search committee chair; a curriculum vitae; a statement of teaching philosophy; a statement of research interests and plans; a statement of inclusion; and three current letters of recommendation which speak to teaching ability. At Middlebury, we strive to make our campus a respectful, engaged community that embraces difference, with all the complexity and individuality each person brings. With your application materials, provide a separate statement (1-2 pages) addressing how your teaching, scholarship, mentorship, and/or community service demonstrate a commitment to and/or evidence of engaging with issues of diversity and inclusion. Review of applications will begin on October 11, 2024, and continue until the position is filled. Offers of employment are contingent on completion of a background check. Information on our background check policy can be found here: http://go.middlebury.edu/backgroundchecks. 

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GCNU-SWC Joint PhD Programme 2025: Applications now open
by Lin, I-Chun Sept. 26, 2024

Sept. 26, 2024

*** Gatsby Unit and Sainsbury Wellcome Centre Joint PhD Programme *** Deadline: 11 November 2024 The Gatsby Computational Neuroscience Unit (GCNU) and Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC) are launching a 4-year joint PhD programme that aims to bridge the gap between theory and experiments. The two centres provide a unique opportunity for a critical mass of theoreticians and experimentalists to interact closely with one another and with researchers at the Centre for Computational Statistics and Machine Learning (CSML) and related UCL departments/domains such as UCL Neuroscience Domain; Artificial Intelligence; the ELLIS Unit at UCL; Computer Science; Statistical Science; and the nearby Francis Crick and Alan Turing Institutes. The joint programme will provide a rigorous preparation for an interdisciplinary research career. The programme blends aspects of the two existing PhD programmes and is designed to immerse students in both experimental and theoretical thinking. Courses in the first year provide a comprehensive introduction to systems neuroscience, theoretical/computational neuroscience, and machine learning. Students will be part of the broader trainee cohort across both centres, interacting and engaging in scientific discussion with both SWC and GCNU researchers with equal emphasis. Applicants should have a strong analytical and mathematical background, a keen interest in neuroscience, and a relevant first degree (e.g., in Computer Science, Cognitive Psychology, Engineering, Mathematics, Neuroscience, Physics, Statistics). Full funding is available regardless of nationality. We also welcome applicants who have secured or are seeking funding from other sources. Applications should be submitted directly to us via the online portal. For programme details (including the key differences between the Gatsby Unit PhD programme, the SWC PhD programme, and the joint programme) and how to apply, see www.ucl.ac.uk/gatsby/study-and-work/gcnu-swc-joint-phd-programme. -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL

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Leveraging Simulation Neuroscience using Blue Brain's Open Platform at SFN
by Lida Kanari Sept. 26, 2024

Sept. 26, 2024

Dear colleagues,We are thrilled to announce that Blue Brain will be featured at the upcoming SfN 2024 meeting in Chicago. For the first time, we will be offering access to the Blue Brain Open Platform - a comprehensive suite of simulation neuroscience tools designed to enhance your research.As the Blue Brain Project concludes at the end of this year - marking nearly two decades of pioneering work to establish simulation neuroscience as a vital complement to experimental and theoretical approaches - we are proud to release the entire collection of tools, data, and algorithms developed throughout the project.Compiled across nearly 300 publications and 1 petabyte of data, these resources include 260+ public repositories, over 5,000 reconstructed morphologies, more than 100k electrophysiological recordings and 500 e-model, as well as more than 5 detailed models of brain regions, with hundreds of in-vitro simulation experiments - integrated into a single, user-friendly platform for the neuroscience community.We invite you to join our 1-hour workshops at SfN to explore the capabilities of the Blue Brain Open Platform: * Delve into detailed mouse brain data, including experimental and model datasets * Leverage existing models or create custom ones tailored to your research * Design and execute simulation experiments in your own Virtual Lab Sign up for the workshop here: https://forms.gle/jKCAxPzbkCP3P7MT6Our team will also be present at the Blue Brain Project Booth #1852, where we will showcase our range of tools and share our latest findings through over a dozen posters.Please feel free to share this invitation with colleagues or anyone interested in exploring the Blue Brain Open Platform as a new tool for simulation neuroscience.We look forward to collaborating with you on the platform! Best regards, Lida Kanari, PhD Group Leader Neuromathematics Blue Brain Project / EPFL Campus Biotech Chemin des Mines 9, CH-1202 Geneva +41 21 693 9656

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