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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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