- Comp-neuro - lists.cnsorg.org

World wide VVTNS series (fifth season): Wednesday, March 5, 2025, at 11:00 am EST| Yonatan Loewenstein, The Hebrew University of Jerusalem
by David Hansel 02 Mar '25

02 Mar '25

[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 Yonatan Loewenstein ELSC The Hebrew University of Jerusalem On Idiosyncratic Biases in Decision-Making The lecture will be held on zoom on Wednesday, March 5, 2025, at *11:00 am EST * To receive the link: https://www.wwtns.online/register-page *Abstract: *Why do individuals, both humans and animals, exhibit personal biases in two-alternative decision-making tasks, even when no clear reason exists to favor one alternative over another? In this talk, I will explore two competing hypotheses to explain these idiosyncratic biases. The first suggests that such tendencies arise from unique personal experiences, where past associations between actions and feedback influence future choices. The second hypothesis proposes that the bias reflects irreducible microscopic heterogeneities in the dynamics of decision-making networks. I will present experimental data and theoretical findings that support the latter hypothesis, shedding new light on the neural mechanisms behind seemingly irrational preferences. *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.*

1 0

Available PhD Position: Multimodal AI-based Diagnosis of ADHD
by Amir Aly 01 Mar '25

01 Mar '25

Dear All *Apologies for cross-posting* We are pleased to announce an opportunity for a tax-free fully funded PhD studentship - *Multimodal AI-based Diagnosis of Attention Deficit Hyperactivity Disorder (ADHD) -* at Plymouth University, UK. The closing date for applications is *12 noon on 28th March 2025** (**UK time) **(**The difference in tuition fees between national and international students will be waived for international candidates**)*. This exciting project aims to transform ADHD diagnosis by developing a multimodal Artificial Intelligence (AI) framework that addresses the significant limitations of current, subjective diagnostic practices. Although AI is emerging in ADHD research, its integration into standard clinical practices remains minimal. This project seeks to enhance diagnostic accuracy through a sophisticated integration of AI-driven insights that complement existing approaches. Some basic questions (among others) that this project will try to explore are: 1. How can machine learning and deep learning models be tailored to various data types like neuroimaging to uncover distinct ADHD diagnostic patterns? 2. What methods can be used to analyse fMRI data to delineate active brain regions and their connections, and how can these findings be linked to ADHD behaviours and cognitive functions? 3. How can we refine AI models to handle high data dimensionality and heterogeneity and enhance decision-making transparency in clinical settings using Explainable AI (XAI) methods? 4. What are the best practices to assess the robustness of AI models against the variability in ADHD diagnostic data? This ambitious project will allow the student to engage in a groundbreaking study at the intersection of AI, neuropsychiatry, and healthcare and gain experience in a highly collaborative environment supported by a strong supervisory team and international experts. The research leverages our team's extensive background in neuro-developmental disorders like Autism Spectrum Disorder (ASD), where we recently discussed important brain regions related to ASD diagnosis (link) <https://arxiv.org/pdf/2409.15374>. This PhD opportunity offers a deep dive not only into the diagnosis of ADHD using explainable AI but also into other related *co-occurring* disorders like ASD, providing a holistic perspective on patient care and intervention strategies across the spectrum of these interrelated conditions. This project is suitable for students from a broad range of disciplines, including computer science and artificial intelligence. More details about the topic and *how to apply* are available at: https://www.plymouth.ac.uk/study/research-degrees/postgraduate-research-stu… If you have any questions, please don't hesitate to contact me Regards -------------------------------------------- *Dr. Amir Aly*, PhD, FHEA, SIEEE Lecturer in Artificial Intelligence and Robotics Programme Manager of Artificial Intelligence UK and Ireland IEEE RAS Chapter Vice Chair Director of the Centre for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room A307 Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK

1 0

🎉 Applications Now Open for Neuromatch and Climatematch Academy! 🧪
by Courtney Dean 28 Feb '25

28 Feb '25

Hello! We're thrilled to announce our lineup of immersive courses at Neuromatch & Climatematch Academy <https://neuromatch.io/courses/>! Whether you're a student eager to dive into cutting-edge topics or a seasoned researcher looking to contribute as a Teaching Assistant, we have opportunities tailored for you. *Please forward this email to folks you think would be interested!* *3-week Courses (July 7-25):* - *Computational Neuroscience <https://neuromatch.io/computational-neuroscience-course/>:* Explore the intricacies of the brain's computational processes and join an engaging community of learners. - *Deep Learning <https://neuromatch.io/deep-learning-course/>:* Delve into the world of artificial intelligence to uncover the principles and applications of deep learning. *2-week Courses (July 14-25):* - *Computational Tools for Climate Science <https://neuromatch.io/computational-tools-for-climate-science-course/>*: Uncover the tools and techniques driving climate science research in this dynamic two-week course. - *NeuroAI <https://neuromatch.io/neuroai-course/>:* Explore the intersection of neuroscience and artificial intelligence through the lens of generalization. *Application Info:* - *Close:* Sunday, March 23rd, at midnight in your local time zone - *Decisions:* Mid-April - *Requirements:* - *Students* are expected to be familiar with Python and have foundational science skills in math/science. See course specific prerequisites here <https://portal.neuromatchacademy.org/>. - *Teaching Assistants* should have strong Python skills and a background in the relevant topic. See the course pages for more information. - *Link:* Apply Here <https://portal.neuromatchacademy.org/> *Additional Information:* - All courses are synchronous but will be conducted exclusively online, providing flexibility and accessibility. - Tuition fees are lower than those of other courses to make education affordable to everybody, no matter their financial background. They are also adjusted for national economic factors. Detailed information about course fees can be found here <https://neuromatchacademy.github.io/widgets/cola.html>. - Teaching Assistants will lead small groups of students, fostering collaborative learning. *TA positions offer financial compensation*; detailed rates can be found here <https://neuromatchacademy.github.io/widgets/ta_cola.html>. Don't miss out on this incredible opportunity to expand your knowledge, connect with experts in the field, and contribute to the success of our courses. Apply today and join us on a journey of discovery! Should you have any questions or need further information, feel free to reach out to us at nma(a)neuromatch.io. We look forward to welcoming you to the Neuromatch Academy family! *You can find flyers and outreach materials here <https://drive.google.com/drive/folders/1ghq9Mgt1DjdRDKOFRsgX0Q6K2BRtMjfI?us…>. Post a flyer! Share on social media! Forward this email! Support our efforts to democratize science.* Cheers, Courtney & The Academy Teams -- *Courtney Dean (she, her) * Program Director Schedule a meeting with me! <https://calendly.com/courtney-s-dean> c. 720.371.6559

1 0

Final call: Spring School on Control Theory and Reinforcement Learning (March 17-21, 2025) at CWI, Amsterdam, NL
by Aditya Gilra 28 Feb '25

28 Feb '25

Dear all, Final call to register for the Spring School on Control Theory and Reinforcement Learning for starting PhD / advanced Master's students:Dates: March 17-21, 2025.Venue: CWI (Research Institute for Mathematics and Computer Science), Amsterdam, Netherlandshttps://www.cwi.nl/en/events/cwi-research-semester-programmes/spring-school-control-theory-and-reinforcement-learning/ Control theory and reinforcement learning share similar objectives, but have differed in their assumptions and approaches. This spring school emphasises connections across control theory, reinforcement learning and stochastic approximation, enabling students to access these broader themes and start to work on cross-cutting projects. The school will be at a preparatory PhD level, suitable for advanced Master's and starting PhD students in these areas. Distinguished Lecturers:Bert Kappen, Radboud Univ, Nijmegen, NetherlandsDebabrota Basu, Inria, Lille, FranceFrans Oliehoek, TU Delft, NetherlandsMaryam Kamgarpour, EPFL, Lausanne, SwitzerlandSean Meyn, Univ. of Florida, USA This school is part of a research semester programme on Control Theory and Reinforcement Learning at CWI, Amsterdam, NL, which comprises this Spring School (17-21 March), a Workshop on Themes (24-25 March), a Workshop on Modern Applications (20-21 May), and an upcoming one on Theory (19-20 June). Download and advertise the poster. Looking forward to seeing you!On behalf of the organizers.https://www.cwi.nl/en/events/cwi-research-semester-programs/control-theory-and-reinforcement/

1 0

Workshop: "Collective Dynamics and Information Processing in Neural Systems" - Venice, Italy | June 30 - July 02
by Fabrizio Lombardi 28 Feb '25

28 Feb '25

Dear All, We invite applications to the workshop "Collective Dynamics and Information Processing in Neural Systems <https://liphlab.github.io/NeuroStatPhys_Satellite/>". The workshop will take place* in Venice, Italy, on 30 June - 02 July 2025* at the European Center for Living Technology (ECLT). Application deadline: *April 15, 2025*. *About the workshop* A longstanding question is how populations of neurons cooperate and coordinate to perform function and maintain an “optimal” state for information processing and computation. While electrophysiological recordings in behaving animals have provided considerable information about what the firing patterns of single neurons encode in isolation, it remains largely a mystery how populations of neurons interact to perform brain functions. How do emergent collective behaviors, such as neuronal oscillations, waves, or avalanches, support function? And what is the nature of the brain’s internal state and how that affects function? With the aim of further strengthening the connection between neuroscience and statistical physics, this satellite workshop is intended to gather neuroscientists, physicists, and mathematicians who work on collective dynamics, cognition and behavior, and provide an interdisciplinary stage to discuss recent theoretical/computational and experimental advances on the role of neural ensembles for brain function. The workshop will be carefully planned to foster discussion and interaction between attendees, and to encourage the establishment of professional relationships. Particular emphasis will be given to participation of young PI’s and scholars and to the diversity in the pool of participants, with a good balance between physicists, mathematicians, theoretical and experimental neuroscientists. *Topics that will be covered in this workshop include (but are not limited to):* - Dynamics of neuronal ensembles: theory and models - Encoding and decoding of neural ensembles - Learning and memory - Control theory and behavior - Statistical inference - Modeling of brain dynamics in health and disease - Criticality in neural systems *Confirmed invited speakers:* - Stefano Fusi (Columbia University) - Gašper Tkačik (IST Austria) - Dietmar Plenz (NIH) - Gianluigi Mongillo (Institut de la Vision) - Raffaella Burioni (University of Parma) - Henrik J. Jensen (Imperial College) - Francesca Mastrogiuseppe (Champalimaud Foundation) - Gaia Tavoni (Washington University in St Louis) - Luca Mazzucato (University of Oregon) - Carlotta Martelli (University Mainz) - Athena Akrami (University College London) - Federico Stella (Donders Institute) - Johannes Felsenberg (FMI Basel) - Ana Paula Millán Vidal (University of Granada) - Michele Allegra (University of Padova) For further information please check the workshop website https://liphlab.github.io/NeuroStatPhys_Satellite/ We hope to see you in Venice! The organizing committee, Fabrizio Lombardi, Lucilla de Arcangelis, Serena Di Santo, Samir Suweis, Ulisse Ferrari, Achille Giacometti, Guido Caldarelli, Elisa Tentori

1 0

Postdoctoral Researcher in Computational Neuroscience
by Fleur Zeldenrust 27 Feb '25

27 Feb '25

*My lab is looking for a computational neuroscience postdoctoral researcher:* http://ru.nl/en/working-at/job-opportunities/postdoctoral-researcher-in-com… For the Vidi project ‘Top-down neuromodulation and bottom-up network computation,’ we seek a postdoc to study neuromodulators in efficient spike-coding networks. Using our lab’s data on dopamine, acetylcholine, and serotonin from the mouse barrel cortex, you’ll derive models connecting single cells, networks, and behavior. The aim of this project is to explain the effects of neuromodulation on task performance in biologically realistic spiking recurrent neural networks (SRNNs). You will use the efficient spike coding framework <https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003…>, in which a network is not trained by a learning paradigm but deduced using mathematically rigorous rules that enforce efficient coding <https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008…>(i.e. maximally informative spikes). You will study how the network’s structural properties such as neural heterogeneity influence decoding performance and efficiency. You will incorporate realistic network properties of the (barrel) cortex based on our lab’s measurements <https://link.springer.com/article/10.1007/s12021-022-09576-5> and incorporate the cellular effects of dopamine, acetylcholine and serotonin <https://eur01.safelinks.protection.outlook.com/?url=https://doi.org/10.1101…>we have measured <https://academic.oup.com/gigascience/article/7/12/giy147/5232232> over the past years into the network, to investigate their effects on representations, network activity measures such as dimensionality, and decoding performance. You will build on the single cell data, network models and analysis methods available in our group, and your results will be incorporated into our group’s further research to develop and validate efficient coding models of (somatosensory) perception. Therefore, we are looking for a team player who is willing to learn from the other group members and to share their knowledge with them. *Profile* - You hold a PhD in computational neuroscience, mathematics, physics, computer science, AI or a similar computational field. - You have experience working with coding models in computational neuroscience and can perform network simulations, analytical derivations and advanced data analysis. - You are a highly motivated, independent, critical and creative researcher who wants to bridge the gap between real data and abstract theoretical models. - You are a team player, ready to collaborate in a diverse, multidisciplinary research group. - You have an excellent command of spoken and written English. - You have coding experience (in Python and/or Matlab) You will be appointed at the Biophysics of Neural Computation group <https://www.ru.nl/en/departments/donders-centre-for-neuroscience/biophysics…> , Donders Center for Neuroscience <https://www.ru.nl/en/donders-centre-for-neuroscience>, Donders Institute for Brain, Cognition and Behaviour <https://www.ru.nl/en/donders-institute>. This vibrant and multidisciplinary institute studies the organisation and function of neural circuits across scales and techniques, from genes and proteins to behaviour and from in vitro and in vivo experiments to computational modelling. It is an open and international environment, where young scientists from different backgrounds share a fascination for the interaction between brain structure and function. There is a lively community <https://www.ru.nl/en/donders-institute/talent-development/postdoc-support> of postdoctoral researchers who are provided with specialised support. *We offer* - We will give you a temporary employment contract of 26 months. - Your salary within salary scale 10 <https://eur01.safelinks.protection.outlook.com/?url=https://www.ru.nl/en/st…>depends on your previous education and number of years of (relevant) work experience. The amounts in the scale are based on a 38-hour working week. - You will receive an 8% holiday allowance and an 8,3% end-of-year bonus. - You will receive extra days off. With full-time employment, you can choose between 30 or 41 days <https://www.ru.nl/en/staff/services/employment-conditions/working-time/flex…> of annual leave instead of the statutory 20. Fleur Zeldenrust -- Fleur Zeldenrust Associate Professor Donders Institute for Brain, Cognition and Behaviour Donders Centre for Neuroscience Faculty of Science, Radboud University Heyendaalseweg 135, room HG 00.111 6525 AJ Nijmegen, the Netherlands tel +31 24 36 53195 fleurzeldenrust.nl *Due to my own family/work balance, you may receive emails from me outside of normal working hours. I do not expect a response from you outside of your own working pattern, nor do I expect an immediate response when you are working.*

1 1

Launching Heidelberg Open Lab
by Mateusz Kostecki 27 Feb '25

27 Feb '25

Hello! I am very happy to announce that we are launching a German node of the Nencki Open Lab (www.nenckiopenlab.org) project. Our goal is to create a local community of neuroscientists, organize workshops on topics ranging from programming and data analysis, through electronics, 3D printing, Arduino to optics and microscopy, symposia,a and summer schools. We will be operating in Heidelberg, Mannheim and Frabkfurt. We organize a kick-off meeting on March 18th at COS, Heidelberg Uni - https://openlabhd.org/2025/02/19/heidelberg-open-lab-kick-off-meeting/. Scientists from all levels of academic career are welcome to join us! Best, Mateusz Kostecki -- --- Mateusz Kostecki PhD Student Knapska Laboratory Nencki Institute 02-093 Warsaw, Pasteura 3, Poland https://twitter.com/mtkostecki https://evolvingbehavior.blog/

1 0

GEM 2025 - Abstract submission deadline 15.03.25
by Vinita Samarasinghe 27 Feb '25

27 Feb '25

*REMINDER*: Abstract submission deadline for *GEM 2025* is on *15.03.25*. Please have your submissions in by the deadline. https://www.conftool.net/gem202 <https://www.conftool.net/gem2023/>5/ <https://www.conftool.net/gem2023/>. The DFG-funded research consortium “FOR 2812 – Constructing scenarios of the past” is proud to announce a *call for abstracts* for its biennial conference “/Generative Episodic Memory: Interdisciplinary persepectives from neuroscience, psychology and philosophy/” *GEM 202**5.* It will be held *in person* at the Ruhr University Bochum, Germany from 2^nd to 4^th June, 2025. For more information please visit https://for2812.rub.de/gem2025. Episodic memories are widely regarded as memories of personally experienced events. Early concepts about episodic memory were based on the storage model, according to which experiential content is preserved in memory and later retrieved. However, overwhelming empirical evidence suggests that the content of episodic memory is – at least to a certain degree – constructed in the act of remembering. Even though very few contemporary researchers would oppose this view of episodic memory as a generative process, it has not become the standard paradigm of empirical memory research. This is particularly true for studies of the neural correlates of episodic memory. Further hindering progress are large conceptual differences regarding episodic memory across different fields, such as neuroscience, philosophy, and psychology. This interdisciplinary conference therefore aims to bring together researchers from all relevant fields to advance the state of the art in the research on generative episodic memory. *Keynote speakers: * Ali Boyle (LSE); Neil Burgess (UCL); Iris Engelhard (U. Utrecht); Johannes Mahr (York U.); Jeremy Manning (Dartmouth) *Funding for early career researchers is available *(visit our ECR page <https://for2812.rub.de/gem2025/early_career_researcher_programs> for more details). *Abstract* submission deadline: 15.03.2025 Submission guidelines: Abstracts must be submitted in English and be no longer than 500 words. Submitted work must be original and unpublished and submitted electronically at https://www.conftool.net/gem202 <https://www.conftool.net/gem2023/>5/ <https://www.conftool.net/gem2023/>. Types of submissions: * Talk * Symposium: Must comprise 3 talks and be interdisciplinary in nature, i.e., talks must cover at least two of the following disciplines: computational neuroscience, philosophy, psychology, neuroscience. * Poster /*For more information please visit https://for2812.rub.de or contact Vinita Samarasinghe at for2812(a)rub.de */ 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 Email: samarasinghe(a)ini.rub.de

1 0

Conference Invitation GRS - inhibition in the CNS!
by Vissers, Nicole 27 Feb '25

27 Feb '25

Join Us for the 2025 GRC and GRS on Inhibition in the CNS! The 2025 Gordon Research Conference (GRC) and Gordon Research Seminar (GRS) on Inhibition in the Central Nervous System (CNS) this year is taking place July 5–6, 2025 (GRS) and July 6–11, 2025 (GRC). The GRC will explore inhibition's role in neural circuits related to behavior, focusing on interneuron subtypes, inhibitory synapse organization, sensory processing, memory, and computational approaches. It will also cover inhibition in the adult neurogenic niche, model organisms like mice and primates, and its role in neuropsychiatric disorders. The GRS, for early-career researchers, will focus on subcortical GABAergic neurons, glial and neuromodulatory inhibition, and computational analyses. It offers networking, mentorship, and presentation opportunities, promoting collaboration before the main GRC event. Both events aim to foster idea exchange and scientific collaboration. We look forward to seeing you in Maine for a week of science, collaboration, and community. Don't miss this chance to connect with global leaders in the field of inhibitory neuroscience! For more information, visit: GRS: https://www.grc.org/inhibition-in-the-cns-grs-conference/2025/ GRC: https://www.grc.org/inhibition-in-the-cns-conference/2025/ Or feel free to contact GRS Chair, Nicole Vissers: n.vissers(a)ucl.ac.uk

1 0

Global Research & Entrepreneurship Summit on Open Problems for AI. Tokyo, Japan, 9-11th April 2025 at the Miraikan Museum of Emerging Science and Innovation.
by Ruairidh Battleday 27 Feb '25

27 Feb '25

Global Summit on Open Problems for AI. Miraikan Museum of Emerging Science and Innovation, Tokyo, Japan, 9-11th April 2025. 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>. Miraikan Museum of Emerging Science and Innovation, Tokyo, Japan, 9-11th April 2025. Join world-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 Dr Shane Gu (Google DeepMind), Dr Taro Toyoizumi (Riken CBS), Dr Kai Arulkumaran (Araya Inc.), Dr Emityaz Khan (Riken AIP), Professor Masanori Koyama (University of Tokyo), Dr James Whittington (Stanford & Oxford University & Zyphra), Dr Lucy Lai (Harvard University), Dr Yusuke Iwasawa (University of Tokyo) Panel on “Is this the end of Scale?” Panel on “How should we fund AI research?” Day 2 - Ethics We ask what the fundamental ethical challenges and opportunities are for AI. Keynotes: Professor Yuko Harayam (Tohoku University; GPAI), Professor Arisa Ema (University of Tokyo & RIKEN CAIP), Dr Colin Rowat (Rakuten, Cambridge), Dr Joe Ledsam (Google Health), Kenny Song (Citadel AI) Panel: Micro Ethics - What Can Individual Researchers Do for Ethical AI? Chair: Nicolay Hagen (NTNU) Panel: Meso Ethics - What Can Organizations Do for Ethical AI? Chair: Professor Skyler Wang (McGill) Panel: Macro Ethics - If AI is the answer, what is the question? Chair: Dr Collin Conwell (Johns Hopkins) Day 3 - Applications and entrepreneurship We ask what the fundamental challenges and opportunities are in applications for social good and entrepreneurship. Keynotes: Professor Yukie Nagai (University of Tokyo), Professor Dan V. Nicolau Jr (Kings College London), Dr Ruairidh McLennan Battleday (Harvard & MIT), Dr Aran Komatsuzaki (Eleuther AI), Dr Conglong Li (Google Deepmind), Takahiro Matsumoto (Cisco / Robust Intelligence), Dr Jungo Kasai (Kotoba Tech) This should be an exciting and productive event, and we expect an audience of 400 of the world’s best AI researchers and entrepreneurs at student, early-stage, and full career levels. Student tickets: $20 for all three days Scientist & Entrepreneur tickets: $20 per day Corporate tickets: $100 per day Reserve your place now! <http://www.algopreneurship.ai> Ruairidh <https://www.linkedin.com/in/ruairidh-battleday-648a2b65/>, <https://www.jcrwhittington.com/>Lucy <https://lucylai.com/>, James <https://www.jcrwhittington.com/>, and Dan <https://www.kcl.ac.uk/people/dan-nicolau> Thinking About Thinking <https://www.thinkingaboutthinking.org/>

1 0