- Comp-neuro - lists.cnsorg.org

OPM-MEG FLUX toolkit 9-12 June, University of Oxford
by Tara Ghafari April 14, 2025

April 14, 2025

Dear all, We are delighted to announce the first OPM-FLUX toolkit to be held 9th-12th June 2025 at St. Catherine's College at the University of Oxford. The OPM-FLUX toolkit course provides a comprehensive introduction to analysing OPM-MEG data using OPM-FLUX, an advanced analysis pipeline for human electrophysiological data. Originally designed for SQUID-based MEG, the FLUX pipeline has been adapted for OPM-MEG. While OPM-MEG offers exciting opportunities in cognitive and clinical neuroscience, analysing its data can be challenging due to technical complexities and a lack of standardised methods. To meet the increasing demand for accessible training in this area, we have developed the FLUX toolkit, built on MNE-Python, a leading MEG analysis toolbox. Participants will be taught the theoretical foundations of OPM sensors and human electrophysiology and gain practical experience with OPM FLUX. In the mornings we will have lectures on the basics data analysis as well as examples on novel cognitive neuroscience research based MEG or OPM-MEG. In the afternoon we will have hands-on data analysis workshops applying the OPM-FLUX pipeline on a data set collected from the local OPM systems. Will cover the analysis of FieldLine as well Cerca/QuSpin data. The analysis sections will include the BIDS format, preprocessing, event-related fields, spectral analysis, source modelling, and multivariate pattern analysis. We will not provide hands-on training on the actual data acquisition but we will outline the general steps required. For details and registration please see https://www.neuosc.com/fluxtoolkit2025 ======================= Tara Ghafari, MD-PhD Postdoctoral Research Associate Department of Psychiatry University of Oxford tara.ghafari(a)psych.ox.ac.uk <mailto:tara.ghafari@psych.ox.ac.uk>

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Generative Episodic Memories 2025 - Registration deadline 30.04.2025
by Vinita Samarasinghe April 14, 2025

April 14, 2025

*Registration deadline for GEM 2025: 30.04.2025 * GEM 2025 <https://for2812.rub.de/gem2025> will be held at the Ruhr University Bochum from 2nd to 4th June 2025. This conference cuts across subject boundaries and provides a platform for founding interdisciplinary collaborations in the area of episodic memory research. We have an excellent line up of speakers from the areas of computational neuroscience, philosophy of mind and psychology. Thanks to generous funding through the research consortium "FOR 2812 - Constructing scenarios of the past" <https://for2812.rub.de> this meeting has no registration fees. Our program is available at https://www.conftool.net/gem2025/sessions.php *Keynote speakers: * Ali Boyle (LSE); Neil Burgess (UCL); Iris Engelhard (U. Utrecht); Johannes Mahr (York U.); Jeremy Manning (Dartmouth) *Registration:*/**/https://www.conftool.net/gem2025 For more information please visit https://for2812.rub.de or contact Vinita Samarasinghe at for2812(a)rub.de/* */ Follow us on bluesky @for2812.bsky.social/* */ <https://bsky.app/for2812.bsky.social> Kind regards, 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 Mobile: +49 (0)1512 7278698 Email: samarasinghe(a)ini.rub.de

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Nencki Open Lab Bonsai Online Workshop Series
by Mateusz Kostecki April 14, 2025

April 14, 2025

Hello! We are happy to announce a new series of online Bonsai workshops! Modern behavioral neuroscience experiments require us to synchronize multiple data streams, precisely deliver stimuli, and – quite often – do everything in a closed-loop setting. The fact that different devices use different software doesn’t make this task any easier. One of the best – and open – solutions to these challenges is *Bonsai*, a reactive programming language that allows you to collect data from multiple systems – from calcium imaging and sound recordings to sensors and control of output devices such as feeders, motors, or stimulus delivery systems. It is easy to learn, easy to implement, and robust. We will run the workshop in three parts: *Part I* – where we will introduce the basic logic of Bonsai, cover loading and saving data, working with cameras to track animals, and the basics of closed-loop experiments. *Part II* – where we will show you more advanced aspects of Bonsai: working with behavioral subjects, combining different data streams, and using the BonVision library to generate visual stimuli. *Part III* – where we will cover using Arduino alongside Bonsai to control experimental equipment and save data from your sensors. The first workshop – *Introduction to Bonsai* – will take place on *April 25th, 9:30 AM – 11:30 AM CET*. You can find the application form here: https://nenckiopenlab.org/bonsai-online/. The fee for each workshop is *EUR 23*. *Requirements:* Windows computer, webcam 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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Call for applications: Computational approaches in systems neurophysiology (Rome, Italy – June 23-25, 2025)
by Andrea d'Avella April 12, 2025

April 12, 2025

Applications are open for the XXVIII *School of Physiology and Biophysics* organized by the *Italian Physiological Society *(SIF), which will be held from *June 23 to June 25, 2025*, in *Rome, Italy*. Enquires: sif.sfb.2025(a)gmail.com Online application: https://sfb2025.azuleon.org/ Application deadline: *May 9, 2025* The XXVIII School of Physiology and Biophysics of the Italian Physiological Society is a three-day (one full day and two half days) introductory course designed to provide participants with both theoretical and technical-practical knowledge of computational approaches in systems neurophysiology. The school covers a wide range of topics, from the analysis of behavioral and electrophysiological data to the modeling of brain activity at the cellular, whole-brain, and behavioral levels. Participants will learn how computational methods can be applied to study motor control and sensory systems by integrating experimental data with advanced analytical tools. The curriculum includes psychophysical methods, analyses of kinematic and muscle synergies, eye movement analyses, computational methods of sensory stimulation, neural network models, and quantitative neuroimaging techniques. The course combines lectures with hands-on tutorials, where attendees will analyze sample experimental data using analysis software such as MATLAB and R. Best regards, Andrea d’Avella and the Organizing Committee -- Andrea d'Avella, Ph.D. Professor of Physiology Department of Biology University of Rome Tor Vergata, Rome, Italy Team leader Laboratory of Neuromotor Physiology IRCCS Fondazione Santa Lucia, Rome, Italy -- <http://www.hsantalucia.it/5x1000-sostieni-la-nostra-ricerca> Le informazioni contenute in questo messaggio e negli eventuali allegati sono riservate e confidenziali. Il loro utilizzo è consentito esclusivamente al destinatario del messaggio, per le finalità indicate nel messaggio stesso. Qualora Lei non fosse la persona a cui il presente messaggio destinato, La invitiamo ad eliminarlo dal Suo sistema ed a distruggere le varie copie o stampe, dandocene gentilmente comunicazione. Ogni utilizzo improprio e'contrario ai principi del D.Lgs. 196/2003 e del Regolamento UE 2016/679. The information contained in this message as well as the attached file(s) is confidential/privileged and is only intended for the person to whom it is addressed. If the reader of this message is not the intended recipient or the employee or agent responsible for delivering the message to the intended recipient, or you have received this communication in error, please be aware that any dissemination, distribution or duplication is strictly prohibited, and can be illegal. Please notify us immediately and delete all copies from your mailbox and other archives. *Rispetta l'ambiente: se non ti è necessario, non stampare questo messaggio - Please consider the environment before printing this email.*

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[DEADLINE EXTENDED] Registration to Embracing Complexity Workshop
by RUBÉN HERZOG April 10, 2025

April 10, 2025

Join us in the Embracing Complexity Workshop: Principled and Practical Approaches to Emergence! The workshop is scheduled for June 23-27 2025 at the Institute for Cross-Disciplinary Physics and Complex Systems (IFISC in Spanish) in Palma de Mallorca, Spain (https://ifisc.uib-csic.es/) Registration is open until April 25. No abstract is needed, but since we have a limited number of participants, the chances of being selected are higher if you submit an abstract for poster. More info at https://ifisc.uib-csic.es/en/events/conferences/embracing-complexity-25/ Registration HERE: https://forms.gle/eQhWYyC3mjd6EhYC9 On Behalf of the organization committee Rubén Herzog

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PhD & Postdoc Positions in Cognitive Science & AI
by Angela Yu April 10, 2025

April 10, 2025

Prof. Angela Yu's "Computational Modeling of Intelligent Systems" Group, TU Darmstadt After 14 years as faculty at the University of California San Diego, Prof. Angela Yu joined TU Darmstadt as an Alexander von Humboldt AI Professor in 2023. Multiple PhD and postdoctoral positions are immediately available in her research group. Research Focus Prof. Yu's group investigates the intersection of natural and artificial intelligence using mathematically rigorous approaches to understand the representations and computations underlying intelligent behavior. The research particularly addresses challenges of inferential uncertainty and opportunities of volitional control. The group employs diverse methodological tools including Bayesian statistical modeling, control theory, reinforcement learning, and information theory to develop theoretical frameworks explaining key aspects of cognition: perception, attention, decision-making, learning, cognitive control, active sensing, economic behavior, and social interactions. Current Research Questions How is socio-emotional intelligence similar or different from cognitive intelligence? How can AI be taught socio-emotional intelligence? How are artificial intelligence (e.g. as demonstrated by large language models) and natural intelligence (e.g. as measured by IQ tests) similar or different in their underlying representation or computations? What roles do intrinsic motivations such as curiosity and representational efficiency play in intelligent systems? How can insights about artificial intelligence improve the understanding and augmentation of human intelligence? Are capacity limitations with respect to attention and working memory features or bugs in the brain? How can AI systems be enhanced by attention or WM? How does the brain achieve computational efficiency and efficacy with little labeled data and energetic needs? Academic Environment Prof. Yu brings extensive expertise in computational neuroscience and cognitive science, with substantial experience in computational modeling and cross-disciplinary collaborations. Her research enhances the Centre for Cognitive Science at TU Darmstadt and hessian.AI (the Centre for Artificial Intelligence of Hesse). Group members will have opportunities to collaborate with leading researchers across cognitive science, AI, neuroscience, and related fields not only in Darmstadt but also in nearby research hubs (Frankfurt, Mainz, Marburg, Gießen, Heidelberg, Tübingen). Position Details Start date: flexible (immediately available) Compensation: Highly competitive with U.S. and European standards, based on experience and expertise Language requirements: English fluency required; German proficiency not necessary Location: Darmstadt, an international city with a diverse academic community Application Process Interested candidates should email the following to Prof. Yu (angela(a)angelayu.org <mailto:angela@angelayu.org>) and her secretary (Ms. Anita Schilz (anita.schilz(a)tu-darmstadt.de <mailto:anita.schilz@tu-darmstadt.de>) CV Undergraduate and master's transcripts (unofficial versions acceptable) Contact information for 2-4 references Research statement explaining specifically why you and Prof. Yu's research group would be a good mutual fit -------------------------------------------------------------------------------- Prof. Dr. Angela Yu Alexander v. Humboldt AI Professor Centre of Cognitive Science & Dept. of Computer Science Technical University of Darmstadt Hessian Center for AI (Hessian.ai) https://www.psychologie.tu-darmstadt.de/intelligent-systems --------------------------------------------------------------------------------

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Call for contribution and registration to the Systems Vision Science Symposium: Aug. 20-22, 2025, in Tuebingen, Germany
by Pavlovic, Maria April 10, 2025

April 10, 2025

<https://summerschool.lizhaoping.org/contributions-for-symposium/> Systems Vision Science Symposium <https://summerschool.lizhaoping.org/contributions-for-symposium/> Aug. 20-22, 2025 in Tübingen, Germany Our symposium takes place at the end of our <https://summerschool.lizhaoping.org/> Systems Vision Science Summer School Aug. 11-22, 2025. Our symposium's keynote speaker: Tadashi Isa. Invited speakers of the Systems Vision Science Summer School and Symposium include: Marco Bertamini, David Brainard, Peter Dayan, Andrea van Doorn, Roland Fleming, Pascal Fries, Wilson S Geisler, Robbe Goris, Sheng He, Tadashi Isa, Tomas Knapen, Jan Koenderink, Larry Maloney, Keith May, Marcello Rosa, Jonathan Victor, Li Zhaoping. -------------------------------- We invite you to participate in and contribute (in form of posters) to the symposium. Your contribution will be in the general topic of Systems Vision Science, which promotes the combination of computational, behavioral, and neuroscience methods to discover functions and algorithms for vision in various brain regions and their implementations in neural circuits. To maximize exchanges during the symposium, each poster will be displayed throughout the symposium, which includes four poster sessions (two daytime sessions and two evening sessions), in a venue next to the lecture hall and coffee breaks to give enough time for discussions, networking and knowledge exchange. -------------------------------- To contribute or participate, please fill out the appropriate form at <https://summerschool.lizhaoping.org/contributions-for-symposium/> https://summerschool.lizhaoping.org/contributions-for-symposium/ The deadline for symposium contribution is April 30, 2025. Registration for participation without contribution is open until venue capacity (100) is reached. <https://summerschool.lizhaoping.org/> https://summerschool.lizhaoping.org/ Please direct inquiries to <mailto:svs.summerschool@tue.mpg.de> svs.summerschool(a)tue.mpg.de -------------------------------- Organizing team: Li Zhaoping Maria Pavlovic Vladislav Aksiotis Junhao Liang Max Planck Institute for Biological Cybernetics University of Tuebingen <http://www.lizhaoping.org> www.lizhaoping.org -- Systems Neuroscience mailing list: www.systemsneuroscience.eu <http://www.systemsneuroscience.eu> To post, send email to systems-neuroscience(a)googlegroups.com <mailto:systems-neuroscience@googlegroups.com> --- You received this message because you are subscribed to the Google Groups "Systems Neuroscience" group. To unsubscribe from this group and stop receiving emails from it, send an email to systems-neuroscience+unsubscribe(a)googlegroups.com <mailto:systems-neuroscience+unsubscribe@googlegroups.com> . To view this discussion visit https://groups.google.com/d/msgid/systems-neuroscience/a1e6117fefb14667abff… <https://groups.google.com/d/msgid/systems-neuroscience/a1e6117fefb14667abff…> .

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post-doc position in the science of AI cognition
by Anna Leshinskaya April 10, 2025

April 10, 2025

A postdoctoral position is available in the relational cognition lab <https://urldefense.com/v3/__https://www.relcoglab.org/__;!!CzAuKJ42GuquVTTm…> at UC Irvine, directed by Anna Leshinskaya. The position is funded by a 2-year grant from the Schmidt Sciences AI Safety Science Program <https://urldefense.com/v3/__https://www.schmidtsciences.org/safetyscience/_…> , co-led with collaborators Seth Lazar and Alice Oh. The project involves developing experiments and interpretable computational models of morally guided decision-making and conceptual combinatorial thought in humans and large language models. Applicants should have a background in computational cognitive science and ideally, AI interpretability, with strengths in research project design and leadership, collaboration and mentorship, and python skills for working with research code repositories and with large language models. ML experience not required, but familiarity with probabilistic programming and methods in neural network interpretability a plus. Background in conceptual and relational reasoning, moral cognition, and decision-making is highly relevant. The position is either fully onsite in Irvine, CA, or hybrid. Please email me at aleshins(a)uci.edu to express interest.

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Call for Papers to "Neuromorphic Artificial Intelligence and Its Applications: Retrospective and Prospective" special issue
by Vassilis Cutsuridis April 9, 2025

April 9, 2025

Dear colleagues, we would like to invite you to submit a manuscript to the Special Issue "Neuromorphic Artificial Intelligence and Its Applications: Retrospective and Prospective<https://www.mdpi.com/journal/brainsci/special_issues/ID2J799RH5>" organized by the Brain Sciences<https://www.mdpi.com/journal/brainsci> journal. Scope Neuromorphic artificial intelligence (AI), inspired by brains, constitutes a shift in the development of AI technology that is able to process vast amounts of information extremely quickly, accurately, and with far less energy expenditure than any AI/DL system. Because it utilizes event-based processing in which neurons spike only in response to specific stimuli, at any given time only a small fraction of neurons is active, drastically reducing energy consumption. Neuromorphic AI is expected to open new roads to computing technologies (software and hardware) and pave the way to true artificial general intelligence. This Special Issue aims to solicit articles that report state-of-the-art approaches to and recent advances in: * Novel neuromorphic architectures and models constrained by neurobiological data from multiple levels of detail showing mastery in all faculties, including sensory recognition, learning and memory, decision making, cognitive control, reasoning, language processing, and consciousness * Learning algorithms constrained by the limits of biology and neuromorphic hardware * Neuromorphic hardware (sensors, chips, cameras) for cognitive systems * Applications of neuromorphic architectures or hardware to cognitive robotics * Application of neuromorphic architectures or hardware to all other aspects of science and technology This Special Issue will bring together scientists with diverse backgrounds to discuss current concepts and exciting new results in this broad field, cutting across disciplines and focusing on topics that have a high potential to synergize. It is expected that this Special Issue will generate valuable new insights and highlight promising directions of future progress. Deadline for manuscript submissions: 31 August 2025 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 *** I work strange hours. You may receive emails from me outside of office hours, but please do not feel you need to reply outside of office hours. ________________________________ [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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Postdoctoral Fellows in Theoretical/Computational Neuroscience at UChicago
by Ramon Nogueira April 9, 2025

April 9, 2025

The Grossman Center for Quantitative Biology and Human Behavior <https://neuroscience.uchicago.edu/GrossmanCenter> at the University of Chicago seeks outstanding applicants for multiple postdoctoral positions in computational and theoretical neuroscience. We especially welcome applicants who develop mathematical approaches, computational models, and machine learning methods to study the brain at the circuits, systems, or cognitive levels. The current faculty members of the Grossman Center to work with are: (informal enquiries are welcome) - Brent Doiron’s lab investigates how the cellular and synaptic circuitry of neuronal circuits supports the complex dynamics and computations that are routinely observed in the brain. ( bdoiron(a)uchicago.edu) - Jorge Jaramillo’s lab investigates how subcortical structures interact with cortical circuits to subserve cognitive processes such as memory, attention, and decision making. (jorgejaramillo(a)uchicago.edu) - Ramon Nogueira’s lab investigates the geometry of representations as the computational support of cognitive processes like abstraction in noisy artificial and biological neural networks. (rnogueira(a)uchicago.edu) - Marcella Noorman’s lab investigates how properties of synapses, neurons, and circuits shape the neural dynamics that enable flexible and efficient computation. (noormanm(a)uchicago.edu) - Samuel Muscinelli’s lab studies how the anatomy of brain circuits both governs learning and adapts to it. We combine analytical theory, machine learning, and data analysis, in close collaboration with experimentalists. ( smuscinelli(a)uchicago.edu) Appointees will have access to state-of-the-art facilities and multiple opportunities for collaboration with exceptional experimental labs within the Neuroscience Institute, as well as other labs from the departments of Physics, Computer Sciences, and Statistics. The Grossman Center offers competitive postdoctoral salaries in the vibrant and international city of Chicago, and a rich intellectual environment that includes the Argonne National Laboratory <https://www.anl.gov/> and UChicago’s Data Science Institute <https://datascience.uchicago.edu/>. The Neuroscience Institute is currently engaged in a major expansion that includes the incorporation of several new faculty members in the next few years. APPLICATIONS: Please send your application before May 1st, 2025 as a single PDF file to neurotheory(a)uchicago.edu. It must include: 1. CV with publications highlighted; 2. A motivation letter specifying the types of projects you would like to work on; 3. The names and contact details of two academic references. Earliest start date: July 1st, 2025, or via mutual agreement. https://neuroscience.uchicago.edu/grossmancenter-postdoctoral-fellows-theor… *The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.* https://neuroscience.uchicago.edu/grossmancenter-postdoctoral-fellows-theor…

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