- Comp-neuro - lists.cnsorg.org

Professor (W3) of Machine Learning at Ulm University

by Friedhelm Schwenker

*The Faculty of Engineering, Computer Science and Psychology at Ulm University (Germany),* *Institute of Neural Information Processing, is seeking to fill the position, starting as soon as possible, of* Professor (W3) of Machine Learning at the Institute of Neural Information Processing Please find more details at https://stellenangebote.uni-ulm.de/jobposting/69ccf89615183cae538094ff0314e… -- Prof. Dr. Friedhelm Schwenker University of Ulm Institute of Neural Information Processing D-89069 Ulm, Germany phone: +49-731-50-24159 fax: +49-731-50-24156 email:friedhelm.schwenker@uni-ulm.de www:https://www.uni-ulm.de/in/neuroinformatik/institut/hidden/f-schwenker/

April 15, 2025

Summer School "Advanced tools for data analysis in Neuroscience" in Strasbourg

by Axel Hutt

************************************************************************************ Summer School "Advanced tools for data analysis in Neuroscience" ************************************************************************************ When: Sept 11 - 20 2025 Where: Strasbourg, France Part I: Introduction to Python Programming (Thursday, September 11 to Friday, September 12) Part II: School with lectures and student projects (Monday, September 15 to Saturday, September 20) Local Organising Committee: * Jyotika Bahuguna, LNCA, University of Strasbourg * Demian Battaglia, LNCA, University of Strasbourg * Romain Goutagny, CNRS, University of Strasbourg * Axel Hutt, INRIA, University of Strasbourg * Arvind Kumar, KTH Royal Institute of Technology, Sweden and USIAS, University of Strasbourg * Philippe Isope, CNRS, University of Strasbourg * Christophe Pouzat, IRMA, University of Strasbourg * Antoine Valera, CNRS, University of Strasbourg Faculty: * Charlotte Bichara, CNRS, University of Strasbourg * Matilde Cordero-Erausquin, CNRS, University of Strasbourg * Pascale Quilichini, INSERM, Aix-Marseille University * Aline Stephan, University of Strasbourg * Greg Stephens, University of Amsterdam * Yaroslav Sych, CPJ CNRS, university of Strasbourg Registration deadline is May 31. For more details and information how to apply, please see [ https://shorturl.at/3xbiZ | shorturl.at/3xbiZ ] .

April 15, 2025

Free Proceedings Access – Submit to COMPLEX NETWORKS 2025 in Binghamton, NY,USA !

by Hocine Cherifi

Last December in Istanbul, over 200 researchers came together to share the latest in *network science, graph learning, and complex systems* at *COMPLEX NETWORKS 2024*. 📚 We’re now offering you *free access* to the full Springer proceedings (Volumes 1–4), featuring high-impact contributions across disciplines: 👉 Access the proceedings (until May 31, 2025) <https://complexnetworks.org/proceedings/> ------------------------------ 🚀 *Be part of what’s next.* Submit your work to *COMPLEX NETWORKS 2025*, held in *Binghamton, NY (USA)*, from *December 9–11, 2025*. 📌 *Important Dates* - Submission Deadline: *September 2, 2025* - Tutorials: *December 8, 2025* - Conference: *December 9–11, 2025* - Springer Proceedings Publication 📖 *Submission Options* - ✅ Full Papers (max 12 pages) – Springer LNCS - ✅ Extended Abstracts (max 4 pages) – Book of Abstracts with ISBN 🏆 Selected papers will be invited to journals including: - *PLOS Complex Systems* - *Applied Network Science (Springer)* - *Advances in Complex Systems (World Scientific)* - *Entropy (MDPI)* - *Social Network Analysis and Mining (Springer)* 📩 Submit your paper <https://cmt3.research.microsoft.com/COMPLEXNETWORKS2025/> 🌐 More info <https://complexnetworks.org/> We look forward to your contribution to this dynamic community! Best regards, *The COMPLEX NETWORKS 2025 Organizing Committee* 📧 hocine.cherifi(a)gmail.com | 🌐 complexnetworks.org

April 15, 2025

EiNS Seminar, Wed 30 April, 9am (GMT-3) (9:00 pm JST Japan), Dr. Tom Froese on “How do we make meaning matter in Artificial Intelligence?”

by Jose A. Fernandez

Dear All, You are cordially invited to the first 2025 EiNS seminar in Neuroscience and Artificial Intelligence -- https://neuro-ai-lab.intia.exa.unicen.edu.ar/eins-seminars *“How do we make meaning matter in Artificial Intelligence?” by **Tom Froese * Okinawa Institute of Science and Technology Graduate University (OIST) -– Embodied Cognitive Science Unit (Japan) *Date:* Wed 30 April - 9am (GMT-3) (9:00 pm JST Japan) *Live Streaming:* https://www.youtube.com/ExactasUNCPBA/live *Language of the talk:* Spanish *Abstract:* How do we ensure that meaning-bearing aspects of agency make a measurable difference in behavior generation? We will consider a novel test for candidate theories, the “participation criterion”: End-directedness of behavior entails that, in principle, it is distinguishable by measurement from one without end-directedness. But how can this criterion ever be satisfied by artificial agents? We will evaluate the possibility that end-directedness will show up as a local increase in unpredictability of system dynamics, which has the global effect of stochastically nudging the system toward aligning with the goal state. *BIO: *Dr. Tom Froese is an Associate Professor at the Okinawa Institute of Science and Technology Graduate University (OIST) in Japan, where he leads the Embodied Cognitive Science Unit (ECSU). Before 2019, he was a Professor at the National Autonomous University of Mexico (UNAM), where he led the 4E Cognition Group. Froese completed his PhD in Cognitive Science at the University of Sussex in the UK in 2010 and his MSc in Computer Science and Cybernetics at the University of Reading in 2004. His research spans theoretical, computational, and experimental approaches to life, mind, and sociality. Further information at https://neuro-ai-lab.intia.exa.unicen.edu.ar/eins-seminars Regards, Jose A. Fernandez-Leon Fellenz Adjunct Professor UNCPBA - Researcher CONICET CIFICEN (UNCPBA-CICPBA-CONICET) & INTIA (UNCPBA-CICPBA) Dept. of Computer Science and Systems - Exactas-UNCPBA EMail: jafernandez(a)intia.exa.unicen.edu.ar Web: https://jafphd.intia.exa.unicen.edu.ar/ NeuroAI Lab: https://neuro-ai-lab.intia.exa.unicen.edu.ar/

April 14, 2025

OPM-MEG FLUX toolkit 9-12 June, University of Oxford

by Tara Ghafari

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>

April 14, 2025

Generative Episodic Memories 2025 - Registration deadline 30.04.2025

by Vinita Samarasinghe

*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

April 14, 2025

Nencki Open Lab Bonsai Online Workshop Series

by Mateusz Kostecki

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/

April 14, 2025

Call for applications: Computational approaches in systems neurophysiology (Rome, Italy – June 23-25, 2025)

by Andrea d'Avella

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.*

April 12, 2025

[DEADLINE EXTENDED] Registration to Embracing Complexity Workshop

by RUBÉN HERZOG

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

April 10, 2025

PhD & Postdoc Positions in Cognitive Science & AI

by Angela Yu

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 --------------------------------------------------------------------------------

April 10, 2025