- Comp-neuro - lists.cnsorg.org

CNS*2025 workshop "Brain-Inspired Computing"
by Guozhang Chen June 27, 2025

June 27, 2025

Dear Colleagues, We are excited to announce the "Brain-Inspired Computing" workshop at CNS2025, taking place on July 8th, 2025 (9:00 AM–12:30 PM) in Florence, Italy. This workshop will explore the intersection of neural computation and artificial intelligence, featuring cutting-edge research on self-supervised learning in cortical circuits, biologically validated AI models, and energy-efficient neuromorphic hardware. The workshop will bridge neuroscience and AI, discussing: Self-supervised learning mechanisms in the neocortex Biological validation of AI models via optogenetic perturbation Energy-efficient computing inspired by neural circuit architecture Neuromorphic hardware for rapid, low-power learning Confirmed Speakers Rui Ponte Costa (University of Oxford, UK) Guillaume Bellec (Vienna University of Technology, Austria) Guozhang Chen (Peking University, China) Robert Legenstein (Graz University of Technology, Austria): Shogo Ohmae (Chinese Institute for Brain Research, China) Yuliang Zang (Tianjin University, China) Details available on our workshop page: https://docs.google.com/document/d/1ChEKLctgh7j3Q5pmRLYEEBp-U0G9akuMTehfTBf… Who Should Attend? Researchers in computational neuroscience, AI, and machine learning Engineers in neuromorphic hardware and brain-inspired computing Students and professionals interested in biological-computational convergence Please share this invitation with colleagues who may be interested. We look forward to exploring the frontiers of brain-inspired computing in Florence with you! Regards, Guozhang Chen & Yunliang Zang

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NeuroAI workshop at CNS2025 (9 July, 2925)
by Chen, Zhe June 25, 2025

June 25, 2025

Dear Colleagues, We are excited to announce the upcoming CNS*2025 Workshop "BRAIN 2.0: Emerging Topics in NeuroAI”, to be held on Wednesday, July 9, 2025, in Florence, Italy. https://cns2025florence.sched.com/event/f85c99dfa3e704f591b8c17bfb732e86 This workshop is inspired by the goal of the NIH BRAIN (Brain Research Through Advancing Innovative Neurotechnologies) Initiative to develop theories, models, and methods to understand brain functions and their causal links to behaviors. The modern advances in neuroscience and AI have generated growing interests in NeuroAI, as witnessed by the feedback from the recent NIH BRAIN NeuroAI workshop (Nov. 12-13, 2024). Briefly, NeuroAI is aimed to, first, use AI to understand and improve the brain and behaviors, and second, to develop brain-inspired AI systems for robust, faster and more efficient operations and performances. Motivated by the new wave and developments in NeuroAI, this workshop invites leading experts and new investigators from various research backgrounds to discuss many emerging research topics. The goal of this full-day workshop is to focus on building the bridge between AI and neuroscience, to discuss new research directions and outstanding questions, and to foster team collaborations and open science. Research topics of interest include but not limited to neural transformers and foundation models, new neural network architectures, distributional or meta reinforcement learning, structural reasoning and inference, large language models (LLMs), and digital twins brain. The format of the workshop will consist of both overview-like and research-oriented lecture presentations as well as panel discussions. Below is the list of speakers (in alphabetical order) and titles: Z. Sage Chen (NYU), Multiplicative couplings facilitate learning and flexibility in recurrent neural circuits Rui Ponte Costa (Oxford), Learning across the brain: a NeuroAI perspective Tatiana Engel (Princeton), Closing the discovery loop with digital twins and causal perturbations Michael M. Halassa (Tufts), Thalamocortical architectures for cognitive control and flexibility Daniel Levenstein (MIla/McGill), NeuroAI as a platform for theory development: lessons from hippocampal representation and replay Kevin Miller (Google Deepmind), Automatically discovering neuroscience theories from data Gaspard Oliviers (Oxford), Bidirectional predictive coding: Towards robust inference and versatile learning in the brain Seng Song (Tsinghua), Brain inspired learning rules and evolutionary computing Naoshige Uchida (Harvard), Distributional reinforcement learning in the brain We are looking forward to your participation and discussion. Zhe Sage Chen, PhD ------------------------------------------------------------ This email message, including any attachments, is for the sole use of the intended recipient(s) and may contain information that is proprietary, confidential, and exempt from disclosure under applicable law. Any unauthorized review, use, disclosure, or distribution is prohibited. If you have received this email in error please notify the sender by return email and delete the original message. Please note, the recipient should check this email and any attachments for the presence of viruses. The organization accepts no liability for any damage caused by any virus transmitted by this email. =================================

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Abstract submission open for the UK Neural Computation meeting July 9-11, Imperial College London
by Mark Humphries June 25, 2025

June 25, 2025

Abstract submission is now open for the UK Neural Computation meeting 2025 at Imperial College on 9-11th July 2025. Submit here: https://forms.gle/kg5xaSfBX3sN7tUN9 Deadline of 12th May 2025 4 submitted abstracts will be selected for main meeting talks. Please spread the word! Conference information: https://neuralcomputation.uk/ Sponsors: ARIA Scalable Neural Interfaces program<https://www.aria.org.uk/opportunity-spaces/scalable-neural-interfaces> Francis Crick Institute<https://www.crick.ac.uk/> Organisers: Danyal Akarca (Imperial) Dan Goodman (Imperial) Mark Humphries (Nottingham) Professor Mark Humphries | Professor of Computational Neuroscience Lab: humphries-lab.org<https://www.humphries-lab.org/> Connect: Bluesky<https://bsky.app/profile/markdhumphries.bsky.social> / LinkedIn<https://www.linkedin.com/in/mark-humphries-65a460212/> / X<https://x.com/markdhumphries> Essays on the brain and science: drmdhumphries.medium.com<https://drmdhumphries.medium.com/> Book: "The Spike: An Epic Journey Through the Brain in 2.1 Seconds" (Princeton UP) in hardback<https://press.princeton.edu/books/hardcover/9780691195889/the-spike?_gl=1*h…..>, paperback<https://press.princeton.edu/books/paperback/9780691241487/the-spike>, ebook<https://press.princeton.edu/books/ebook/9780691213514/the-spike-0?_gl=1*1uf…..> & audiobook<https://press.princeton.edu/books/audio/9780691224091/the-spike?_gl=1*37xz7…..> <https://press.princeton.edu/books/audio/9780691224091/the-spike?_gl=1*37xz7…..> read by Anand Jagatia This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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CNS*2025 workshop 'The computational logic of predictive processes'
by aurelio cortese June 25, 2025

June 25, 2025

Dear Colleagues, We are excited to announce the workshop "The computational logic of predictive processes: a 25-year perspective" at *CNS*2025*, which will take place on *July 9* in *Florence*, Italy. This workshop will provide a platform to discuss new data and theories on adaptive decision-making and learning. Talks will cover the neurobiological and computational basis of learning and flexible behaviours in humans, non-human primates and rodents, as well as work using artificial neural networks to gain deeper insight into these novel mechanisms. Details about the program can be found on our workshop page <https://docs.google.com/document/d/113IeafkwqqYiOSHTyFNfY80v2ObbOzwOvL3uUvS…> . Below is the list of *confirmed speakers*: Abhishek Banerjee (Oxford University / Queen Mary University of London, UK) Andrea Benucci (Queen Mary University of London, UK) Aurelio Cortese (ATR Institute International, Japan) Armin Lak (Oxford University, UK) Silvia Maggi (University of Nottingham, UK) Rohan Rao (Newcastle University / Oxford University, UK) Erin Rich (New York University, USA) Matthias Tsai (Bern University, Switzerland) Please feel free to share this with anyone you think may be interested. We are looking forward to seeing you soon in Florence! Best wishes from Oxford, Kyoto, Nottingham, and New York, Abhi, Aurelio, Silvia, and Erin

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Summer School on Computational Decision Sciences – 8-12 September 2025, London
by Sidarus, Nura June 25, 2025

June 25, 2025

Dear all, It’s my pleasure to announce the Summer School on Computational Decision Sciences (SS-CDS)––the first summer school of the Center for Decision Sciences at Royal Holloway, University of London. https://center-decision-sciences.com/cds-summer-school/ What SS-CDS will bring together an interdisciplinary audience tackling decision making in different scientific fields. The focus is on mathematical and computational modelling, integrating concepts and methods from mathematical psychology, computational psychiatry, computational neuroscience, computational social sciences, machine learning, and cultural evolution. Attendees will benefit from content talks from international leading researchers and practical hands-on sessions. Attendees will also have the opportunity to deliver presentations, receive career advice during social networking events, and reflect critically about research practices in EDI sessions. Where and When SS-CDS will take place at Stewart House, within Senate House, in Central London, on September 8th-12th . Target audience SS-CDS is targeted towards attendees from diverse fields (e.g., psychology, neuroscience, social sciences, computer science, etc.) and career stages (masters, PhD, postdoc, and junior PI). Prerequisite A basic background knowledge in elementary statistics (e.g., probability theory) and programming in Python/R is highly recommended to master the technical skills, but no prior experience with computational modelling is required. Registration Thanks to generous funding provided by the British Academy and the Department of Psychology at Royal Holloway attendance to SS-CDS is free of charge. However, places are limited and will be allocated on a first-come, first-served basis until capacity is reached. To sign up, fill out this form<https://qualtricsxm4dv86z4fr.qualtrics.com/jfe/form/SV_6RpfZELVTnSDzH8> by Monday, August 11th, at 10am UK time. Please feel free to share this information with anyone you think might be interested in participating. Looking forward to seeing you all in September. Best wishes, Gabriele, Andreu, Nura, Anand This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free.

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[Announcement] New Calcium Imaging Analysis Framework: OptiNiSt
by Yukako Yamane June 25, 2025

June 25, 2025

Dear Neuroscience Community, We are pleased to announce the publication of a paper describing OptiNiSt (Optical Neuroimage Studio), a new open-source framework for calcium imaging data analysis. OptiNiSt was developed as part of the AMED(Japan Agency for Medical Research and Development) Brain/MINDS project. Article: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1013… OptiNiSt is a flexible and reproducible pipeline construction tool that supports calcium imaging data analysis. Featuring an intuitive graphical user interface, it facilitates data sharing and standardization of analysis workflows across research groups. GitHub (source code): https://github.com/oist/optinist Documentation & Tutorials: https://optinist.readthedocs.io/en/latest/ We hope OptiNiSt will be a helpful tool for your research. Feedback and questions are always welcome. Best regards, Yukako Yamane (yukako.yamane(a)oist.jp) & Kenji Doya Neural Computation Unit Okinawa Institute of Science and Technology (OIST)

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CNS*2025 Workshop "Brains and AI" - Speaker Lineup and Schedule
by Vassilis Cutsuridis June 24, 2025

June 24, 2025

Dear Colleagues, We are excited to announce the upcoming *CNS*2025 Workshop* *"Brains and AI"*, to be held on *Wednesday, July 9, 2025, in Florence, Italy*. This workshop will explore the intersection of neuroscience and artificial intelligence - bringing together researchers applying AI to brain data and those leveraging insights from neuroscience to build better AI systems. https://users.sussex.ac.uk/~tn41/CNS2025_workshop/ <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fusers.sus…> Advances in neuroscience techniques have dramatically increased the volume of data we can now collect from animal and human brains. However, this surge in data has introduced new challenges in extracting meaningful insights. Fortunately, these developments have coincided with breakthroughs in artificial intelligence (AI), which holds the potential to transform how we analyze and utilize scientific information. While there is significant potential here, we are just starting to figure out how to apply modern AI models to interpret and process scientific data, and significant challenges remain. The trend of applying AI to better understand the brain concurs with another reviving trend: applying knowledge from neuroscience to developing new AI. Indeed, despite the tremendous progress, the existing generation of AI shows significant limitations, including a lack of continual learning, poor generalization, dependence on enormous amounts of data for training, bias, and safety problems. These are features where the biological brain excels, highlighting the strong need to learn once more from neuroscience how to develop the next generation of AI. The proposed workshop will combine these two complementary trends, bringing experts from the field together to discuss how AI can facilitate new scientific discoveries and how knowledge of the brain can help improve AI. Below is the list of confirmed speakers: - Fleur Zeldenrust - Vassilis Cutsuridis - Spyridon Chavlis - Andreas Tolias *(online)* - Robert Legenstein - Max Garagnani - Martin Trefzer - Julian Göltz - Maxim Bazhenov - Dhireesha Kudithipudi - Thomas Nowotny The workshop will conclude with a panel discussion and open debate. We look forward to your participation in what promises to be a thought-provoking and engaging event. Thomas Nowotny, Vassilis Cutsuridis, Maxim Bazhenov

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NEURON and NetPyNE tutorial at CNS*2025, July 5, 2025
by McDougal, Robert June 24, 2025

June 24, 2025

Dear colleagues, This July 5th, there will be a “Building mechanistic multiscale models with NEURON and NetPyNE” tutorial at CNS*2025, all day in room 6. To attend, please be sure you have registered for the tutorials at the conference: https://www.cnsorg.org/cns-2025-registration This tutorial will introduce multiscale modeling using NEURON 9.0 and NetPyNE. The tutorial will combine background, examples and hands on exercises covering the implementation of models at four key scales: * single neuron electrophysiology (e.g. action potential propagation), * intracellular dynamics (e.g. calcium buffering, protein interactions), * neurons in extracellular space (e.g. spreading depression), and * networks of neurons. For single cell simulations, we will utilize NEURON through Python, simulating point cells and incorporating realistic morphology information from NeuroMorpho.Org. For network simulations, we will use NetPyNE, a high-level interface to NEURON supporting both programmatic and GUI specification that facilitates the development, parallel simulation, and analysis of biophysically detailed neuronal circuits. We conclude with an example that links intracellular molecular dynamics with network spiking activity and local field potentials. The NetPyNE tutorial will be carried out online using the Open Source Brain web platform (http://v2.opensourcebrain.org) and will include an introduction to NeuroML, a standardized computational neuroscience language to describe detailed models of neurons and neural networks. The tutorial highlights recent substantial developments and new features in both NEURON and NetPyNE. Basic familiarity (e.g. loops, functions, variables, if) with Python is recommended. No advanced programming experience or prior knowledge of NEURON or NetPyNE is required. Speakers will include: Salvador Dura-Bernal, William W Lytton, Robert A McDougal, and Adam JH Newton Preliminary Schedule: 09:00 -0 9:20 Introduction to multiscale modeling (WWL) 09:20 - 10:10 NEURON scripting (RAM) 10:10 - 10:40 Coffee break 10:40 - 12:00 Reaction-diffusion simulations (AJHN) 12:00 - 13:00 Lunch break 13:00 - 14:30 NetPyNE graphical web application (SD) 14:30 - 15:00 Coffee break 15:00 - 16:00 NetPyNE scripting (SD) Best regards, Robert McDougal

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Fwd: Deadline approaching: PhD student using machine learning to understand high-dimensional visual category learning
by Leni Wei June 24, 2025

June 24, 2025

> Begin forwarded message: > > From: "Caspar M. Schwiedrzik" <Caspar.Schwiedrzik(a)ruhr-uni-bochum.de> > Subject: Deadline approaching: PhD student using machine learning to understand high-dimensional visual category learning > Date: 23 June 2025 at 16:23:18 CEST > To: comp-neuro(a)lists.cnsorg.org, announcements(a)lists.cognitivesciencesociety.org > > We are looking for a highly motivated PhD student using machine learning to understand high-dimensional visual category learning. > > The Department of Cognitive Neurobiology of Caspar Schwiedrzik at > Ruhr-University Bochum is looking for an outstanding PhD student with > expertise in computational cognitive neuroscience and/or deep learning > to join our team to the neural basis of mental flexibility. The > project investigates neural mechanisms of high-dimensional visual > category learning, utilizing computational approaches as well as > neuroimaging and neurophysiology in humans and macaque monkeys, > respectively. It is funded by an ERC Consolidator Grant (Acronym > DimLearn; “Flexible Dimensionality of Representational Spaces in > Category Learning”). The PhD student’s project will focus on > developing deep learning “digital twin” models based on neural and/or > behavioral data to investigate flexible multi-task learning. > > The lab seeks to understand the cortical basis and computational > principles of perception and experience-dependent plasticity in the > brain. To this end, we use a multimodal approach including fMRI-guided > electrophysiological recordings in rodents and non-human primates, and > fMRI and iEEG in humans. See https://doi.org/10.1016/j.cub.2023.01.011 > and https://doi.org/10.1038/s41467-024-51543-y for recent examples of > our work. The PhD student will play a key role in our research efforts > in this area. The lab is located at Ruhr-University Bochum > (https://www.rub.de) and the German Primate Center > (http://www.dpz.eu) At both locations, the lab is embedded into > interdisciplinary research centers with international faculty and > students pursuing cutting-edge research in cognitive and computational > neuroscience. The PhD student will have access to dedicated computing > infrastructure, including high performance computing clusters. The > project will be conducted in close collaboration with the labs of > Fabian Sinz (https://sinzlab.org) Alexander Gail > (https://www.dpz.eu/sensomotorik) and Igor Kagan > (http://igorkagan.org) The main site for this part of the project > will be Bochum. Ruhr-University Bochum provides a vibrant and > stimulating neuroscience community with a strong community in > computational as well as experimental neurosciences. The PhD student > will have the opportunity to join the International Graduate School > for Neuroscience (https://www.ruhr-uni-bochum.de/igsn/index.html) or > the International Graduate School of Biosciences > (https://www.biologie.ruhr-uni-bochum.de/biodek/promotion/index.html.en) > > Please find the official job ad and further information here: > https://jobs.ruhr-uni-bochum.de/jobposting/318eb740a64696cad9cbeb78dfa84802… > > -- > Prof. Dr. Caspar M. Schwiedrzik > > Abteilung Kognitive Neurobiologie > Research Center One Health Ruhr > University Alliance Ruhr > Fakultät für Biologie und Biotechnologie > Ruhr-Universität Bochum > > NDEF 05/348, Fach 59 > Universitätsstraße 150 > 44801 Bochum > > Telefon +49 234 32 15220 > > caspar.schwiedrzik(a)rub.de > www.rub.de/

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SiNAPSA Neuroscience Conference '25 (17.-19. Sept, Ljubljana) - abstract submission deadline approaching
by Nina Omejc June 24, 2025

June 24, 2025

Dear colleagues, We are delighted to invite you to the Sinapsa Neuroscience Conference ’25 <https://www.sinapsa.org/SNC25>, which will take place from 17 to 19 September 2025 at the Faculty of Medicine, University of Ljubljana, Slovenia. The conference programme <https://www.sinapsa.org/snc25/media/schedule/Schedule-SNC25_v20250610.pdf> includes plenary lectures, thematic symposia, poster presentations, an educational workshop, and a public consultation. The program will offer a comprehensive insight into neuroscience with diverse topics ranging from molecular and cellular mechanisms to systemic, clinical, and cognitive neuroscience. The deadline for abstract submission <https://www.sinapsa.org/SNC25/call-for-abstracts> is 30 June 2025. For more information, please visit the conference website at www.sinapsa.org/snc25 <http://www.sinapsa.org/snc25>. Hope to see you in Ljubljana in September! SiNAPSA Neuroscience Conference ’25 Organizing committee www.sinapsa.org/snc25 <http://www.sinapsa.org/snc25>

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CNS*2025 Workshop "Enabling synaptic plasticity, structural plasticity, and multi-scale modeling with morphologically detailed neurons using Arbor"
by Jannik Luboeinski June 23, 2025

June 23, 2025

Dear Colleagues, * * we are pleased to announce the workshop "*Enabling synaptic plasticity, structural plasticity, and multi-scale modeling with morphologically detailed neurons using Arbor*", which will take place at *CNS*2025* on *Wednesday, 9 July*, in Florence, Italy. Current computational neuroscience studies are often limited to a single scale or simulator, with many still relying on standalone simulation code due to computational power and technology constraints. Simulations incorporating biophysical properties and neural morphology typically focus on single neurons or small networks, while large-scale neural network simulations often resort to point neurons as a compromise to incorporate plasticity and cell diversity. Whole-brain simulations, on the other hand, frequently sacrifice details at the individual neuron and network composition levels. This workshop introduces recent advances leveraging the next-generation simulator Arbor (https://arbor-sim.org/) designed to overcome these challenges. Arbor enables seamless conversion from the widely used NEURON simulator, facilitates the study of functional and structural plasticity in large neural networks with detailed morphology, and supports multi-scale modeling through co-simulation, integrating microscopic and macroscopic levels of simulation. Arbor is a library optimized for efficient, scalable neural simulations by utilizing both GPU and CPU resources. It supports the simulation of both individual neurons and large-scale networks while maintaining detailed biophysical properties and morphological complexity. The workshop will feature presentations covering three key aspects: * *Effortless transition from NEURON to Arbor:* Beatriz Herrera will introduce the SONATA format, which simplifies the migration process and enables cross-simulator validation, ensuring a smooth transition to Arbor for researchers familiar with NEURON. * *Plasticity simulations with Arbor:* In two talks, Jannik Luboeinski and Felix Wolf will present Arbor’s capabilities in modeling calcium-based functional plasticity as well as calcium-based distance-dependent structural plasticity, providing insights into synaptic and structural changes. * *Multi-scale co-simulation with TVB:* Thanos Manos will demonstrate Arbor’s co-simulation capabilities with The Virtual Brain (TVB) platform, illustrating the study of epilepsy propagation as an example of multi-scale modeling. The workshop will conclude with an *interactive coding session*, offering participants hands-on experience with Arbor and an opportunity to apply the presented concepts. We look forward to meeting you at the workshop, where we expect fruitful exchange and interesting discussions! Best regards, Thorsten Hater, Han Lu, Jannik Luboeinski

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Full day tutorial on Multiscale Modeling with MOOSE at CNS*2025, July 5, 2025!
by MOOSE Neuro June 23, 2025

June 23, 2025

Dear all, We are pleased to announce a full-day hands-on tutorial on *Multiscale Modeling with MOOSE *at CNS*2025! *Saturday, July 5, 2025, 09:00 - 16:00 CEST, Belvedere room* The objective of this tutorial is to familiarize participants with MOOSE ( https://mooseneuro.github.io/) a comprehensive simulation platform designed for computational modeling in neuroscience and systems biology. In addition to tutorials on biophysical and biochemical models, we shall showcase new features of MOOSE, including *jardesigner, *a new web-based frontend for multiscale modeling. We will illustrate the use of *jardesigner *and MOOSE to build and run spiking neuron models incorporating chemical signaling for neuromodulation and synaptic plasticity on spines. Prerequisites - Some familiarity with basic Python programming and common system commands to run programs from the command-line is expected. - As most of the topics will be hands-on, participants should bring their laptops. - Participants must have a Python environment installed on their laptops. - Participants are encouraged to create a Python environment as described in MOOSE installation instructions: https://github.com/MooseNeuro/moose-core/blob/development/docs/source/insta… *Speakers:* Dr. Subhasis Ray, Prof. Upinder S. Bhalla, Dr. Bhanu Priya S Tentative Schedule 09:00 - 09:40 Multiple Scales in Neuroscience, Upinder S. Bhalla 09:40 - 10:10 Overview of MOOSE, Subhasis Ray 10:10 - 10:40 Coffee Break 10:40 - 11:25 Setting up the software environment, Bhanu Priya S and Subhasis Ray 11:25 - 12:10 Abstract neuron models, Bhanu Priya S 12:10 - 14:00 Lunch Break 14:00 - 14:45 Biophysical neuron model with ion channels, Subhasis Ray 14:45 - 15:30 Modeling biochemical systems, Upinder S. Bhalla 15:30 - 16:00 Coffee Break 16:00 - 17:00 Multiscale modelling and Jardesigner, Upinder S. Bhalla 17:00 - 17:20 Discussion You can save this schedule to your calendar via CNS*2025 Florence: Multiscale modeling with MOOSE <https://cns2025florence.sched.com/event/25kRo/multiscale-modeling-with-moose> We will also present a poster on "*Developments around MOOSE for modeling in Systems Biology and Neuroscience*" on July 8th, 2025. More details can be found here: CNS*2025 Florence: P252: Developments around MOOSE for mode... <https://cns2025florence.sched.com/event/24uTo/p252-developments-around-moos…> Please feel free to share this announcement with anyone who might be interested. Best regards, Parita Mehta Community Manager for MOOSE *On behalf of the MOOSE Team* GitHub: MooseNeuro <https://github.com/MooseNeuro/> Official website: *https://mooseneuro.github.io/ <https://mooseneuro.github.io/> * LinkedIn: *MOOSE Neuro Simulator | LinkedIn <https://www.linkedin.com/in/moose-neuro-simulator-064088315/>* X: *MOOSE Neuro Simulator (@mooseneurosim) / X <https://x.com/mooseneurosim>* Bluesky Social: MOOSE Neuro Simulator <https://bsky.app/profile/moosesim.bsky.social>

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Neurobridge CNS*2025 Satellite Symposium 'Neural Population Dynamics and Latent Representations'
by Eleonora Russo June 23, 2025

June 23, 2025

Dear all, We are pleased to invite you to the NEUROBRIDGE CNS*2025 Satellite Symposium on Neural Population Dynamics and Latent Representations. In recent years, the study of neural population dynamics has gained growing traction in systems and computational neuroscience, offering a principled framework to link single-neuron activity with behaviorally relevant computation. During the symposium, we will discuss recent machine learning and theoretical advances for analyzing population-level activity and explore how emergent network properties can reveal mechanistic principles of cognition and behavior, with translational implications for clinical neuroscience. Confirmed speakers: * Lorenzo Gaetano Amato – Sant'Anna School of Advanced Studies, Pisa, IT * Demian Battaglia – University of Strasbourg, FR * Daniel Durstewitz – Central Institute for Mental Health, Mannheim, DE * Tatiana A. Engel – Princeton University, Princeton, USA * Sean Froudist-Walsh – University of Bristol, Bristol, UK * Matthieu Gilson – Institut des Neurosciences, Marseille, FR * Maurizio Mattia – Istituto Superiore di Sanità, Rome, IT * Leonardo Pollina – EPFL, Lausanne, CH * Sara Solla – Northwestern University, Evanston, USA The full-day symposium will take place on July 10th in the 📍 Aula Magna at the Scuola Superiore Sant’Anna, Piazza Martiri della Libertà 33, Pisa. Registration for the symposium is free of charge, but seats are limited! For more information and to register, please visit: 👉 https://neurobridge-tne.github.io/ The event will also be streamed online; the link will be available on the symposium website. Please feel free to share this announcement with anyone who might be interested. Best regards, The organisers, Eleonora Russo, Jacopo Carpaneto, Alberto Mazzoni, Nicolò Meneghetti, Silvestro Micera, Calogero Maria Oddo, Solaiman Shokur. --------------------------------------------------------------------------------------------------------------------- Eleonora Russo, Ph.D. PI of the Brain Dynamics Laboratory TT Assistant Professor at Sant’Anna School of Advanced Studies, The BioRobotics Institute, P.za Martiri della Liberta', 33 56127 Pisa, Italy

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Associate Professor Position in Australia - Monash University
by Elizabeth Zavitz June 23, 2025

June 23, 2025

Dear colleagues, Please find below an advertisement for an Associate Professor position in the Department of Electrical and Computer Systems Engineering at Monash University, Melbourne, Australia. Monash Careers – Associate Professor <https://careers.pageuppeople.com/513/cw/en/job/678997/associate-professor-e…> In this role, you will play a key part in shaping the next generation of engineers. You’ll engage with students through dynamic teaching, mentor future leaders, and collaborate with passionate colleagues to deliver cutting-edge courses. Your expertise will complement our strengths in control systems, wireless technology, signal processing, robotics and AI—driving real-world solutions in electronics, RF, sensors, energy systems, and computing. You’ll also lead impactful research that addresses global challenges, with the support of a collaborative and inclusive research culture. The application deadline is September 14th, 2025, 11:55 pm AEST. Please feel free to share this opportunity with interested colleagues. For any inquiries, do not hesitate to reach out. Liz -- Elizabeth Zavitz, PhD Electrical and Computer Systems Engineering 233 14 Alliance Lane (Bldg 72) Monash University Clayton, VIC 3800 Australia

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World wide VVTNS series- fifth season closing lecture: Wednesday, June 25, 2025, at 11:00 am EDT| Sebastian Seung , Princeton Neuroscience Institute
by David Hansel June 22, 2025

June 22, 2025

[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 *VTNS Fifth Season Closing Lecture *that will be delivered by Sebastian Seung, Princeton Neuroscience Institute on the topic Insights into vision from interpreting a neuronal wiring diagram The lecture will be held on zoom on Wednesday, June 25, 2025, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: *In 2023, the FlyWire Consortium released the neuronal wiring diagram of an adult fly brain. This contains as a corollary the first complete wiring diagram of a visual system, which has been used to identify all 200+ cell types that are intrinsic to the Drosophila optic lobe. About half of these cell types were previously unknown, and less than 20% have ever been recorded by a physiologist. I will argue that plausible functions for many cell types can be guessed by interpreting the wiring diagram. *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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Advances in Intelligent Systems, Technologies and Applications
by Barna Iantovics June 19, 2025

June 19, 2025

Call for papersSpecial Issue: Advances in Intelligent Systems, Technologies and ApplicationsJournal: Applied Sciences (ISSN 2076-3417) Impact Factor 2.5Submission https://www.mdpi.com/journal/applsci/special_issues/5IQ6DOHB42 Dear Colleague, You are kindly invited to contribute with a paper to the Special Issue. Intelligence in nature is very diverse; it can be discussed in terms of the intelligence of chimps, dolphins, and many other animals and even the collective intelligence of very simple life forms such as ants. The concept of intelligence is being adopted in many domains of science. From practical and theoretical perspectives, an essential current research direction that is under examination by a very large number of scientists worldwide is the development of artificial systems, also called agent-based systems, which can be either individual agents or cooperative multiagent systems. These systems are embedded in the environment, possess a certain degree of autonomy, and are capable of perceiving the environment and executing actions in it. Intelligence in agent-based systems can emerge through advanced problem-solving abilities. To develop these intelligent systems, techniques such as supervised learning and unsupervised learning play pivotal roles. Supervised learning involves training systems on labeled datasets, enabling them to map inputs to outputs and improve their predictions or classifications over time. These methods are extensively used in applications such as image recognition, natural language processing, and medical diagnosis. On the other hand, unsupervised learning enables systems to identify patterns and structures in unlabeled data, facilitating clustering, anomaly detection, and exploratory data analysis. A more recent paradigm, retrieval-augmented generation (RAG) and cache-augmented generation (CAG), combines retrieval- and cache-based methods with generative models to enhance intelligent systems, producing highly contextualized and accurate responses or actions. These approaches are instrumental in developing advanced systems for domains such as conversational AI, knowledge management, and decision support. Intelligent agent-based systems have many real-world applications, including the health sciences and industry. The number and diversity of intelligent systems are increasing rapidly. In this context, the great challenge consists of creating increasingly intelligent systems. Another critical challenge, approached by only a few researchers worldwide, is the development of universal metrics, including black-box-based intelligence metrics, to measure the intelligence of these systems. Such advances could allow for the comparison of systems based on their intelligence. In cooperative multiagent systems, intelligence can be assessed at the system level; this is known as collective intelligence. Even in very simple cooperative multiagent systems, agents may interact nonlinearly at various decision points, resulting in emergent complexity and intelligence at the system level. This Special Issue aims to establish a solid foundation for future research through a collection of papers that advance the field by elaborating on theories, designing applications, and presenting surveys regarding the next generation of increasingly intelligent systems. The areas of research covered in these papers could include the study of self-organization, emergence, hybridization, scalability, robustness, measuring machine intelligence, and the integration of advanced paradigms such as supervised learning, unsupervised learning, retrieval-augmented generation, and cache-augmented generation. Kind regards,Guest EditorsProf. Dr. Laszlo Barna IantovicsProf. Dr. László KovácsDr. Attila Biró

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Special Issue: Computational biomimetics methods in drug design: Theory, Applications, and Future Directions
by Barna Iantovics June 19, 2025

June 19, 2025

Call for papers Special Issue: Computationalbiomimetics methods in drug design: Theory, Applications, and Future DirectionsJournal: Biomimetics(ISSN 2313-7673). Impact Factor 3.9Submission https://www.mdpi.com/journal/applsci/special_issues/5IQ6DOHB42 Dear Colleague, Computational biomimetics (CB) methodsdeveloped in the frame of artificial intelligence (AI) and machine learning(ML) are rapidly evolving technologies that are transforming variousindustries. CB enables machines/systems to exhibit human-like intelligence,offering these machines many opportunities to learn from experience. ThisSpecial Issue aims to explore the theoretical foundations, broad range ofapplications, and future directions of CB. Theoretical research can includeideas such as new algorithms and optimization techniques, while applicationscan range from drug design to discovery. Additionally, topics on ethics andsecurity aim to enhance societal impact and the reliability of CB drug designand discovery. This Special Issue seeks to uncover the potential andlimitations of CB, encouraging innovative research and applications in thefield of interest. The purpose of this Special Issue isto discuss recent advancements and innovative applications in the fields ofcomputational biomimetics. With a broad scope, it will cover the application ofCB across various disciplines related to drug discovery and design. Kind regards,Prof. dr. habil. Laszlo BarnaIantovicsAssociate Prof. dr. Fatih OzyurtAssociate Prof. dr. Aleš Zamuda

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2025-2026 Shanahan Postbac/Undergraduate fellowship at the Allen Institute and University of Washington
by Anton Arkhipov June 18, 2025

June 18, 2025

Dear Colleagues, An exciting opportunity is available for pre-doctoral researchers to work at the interface of data and neuroscience: the 2025-2026 Shanahan Postbac/Undergraduate fellowship at the Allen Institute and University of Washington Computational Neuroscience Center. These roles are open to both current undergraduate and post-baccalaureate students. Student fellows will be mentored by a current Shanahan Fellow, and they will gain hands-on research experience in neural computation, neural networks, and computational modeling/method development. Students will join a vibrant interdisciplinary research community with the opportunity to work with researchers at all levels at University of Washington and Allen Institute. Project descriptions and application link: https://compneuro.washington.edu/training-programs/shanahan-undergraduate-a… Multiple projects are available. If you are interested in bio-realistic simulations of brain circuits, apply for the project with Maria Tikhanovskaya. 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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EBRAINS-Italy training -- BRAin Dynamics AcademY
by Sergio Solinas June 18, 2025

June 18, 2025

*Apologies for cross-posting* * ERRATA CORRIGE of website link* [All details about this training activity can be found online at BRANDY <http://brandy.ebrains-italy.eu/> [https://brandy.ebrains-italy.eu] DEADLINE for EARLY registration 5th of JULY 2025 REGISTRATION fee 200 euro inclusive of lodging and meals. We are excited to announce the EBRAINS-Italy training "BRAin Dynamics AcademY BRANDY" 4-11 September 2025 AlaBirdi - Oristano (ITALY). The training activity will enrol a maximum of 30 students. *Register at this* LINK <https://docs.google.com/forms/d/e/1FAIpQLSdAo7DIgc0rcqPNyocb0pQ27FvfLmbv3wo…> *and upload a short CV and a short motivation letter* School speakers: - Nicolas Brunel University Bocconi (ITALY) - Stefano Ferraina University La Sapienza Rome (ITALY) - Alberto Mazzoni School of Advanced Studies Pisa (ITALY) - Rosanna Migliore CNR IBF Palermo (ITALY) - Mitchell Goldfarb Hunter College NY (USA) - Maurizio Mattia Istituto Superiore di Sanità (ITALY) - Chiara Bartolozzi Italian Institute of Technology (ITALY) - Huifang Wang AIX Marsellie University (FRANCE) - Addolorata Marasco University of Naples (ITALY) - Giovanni Pezzulo University of Pisa (ITALY) - Luca Bologna CNR IBF Palermo (ITALY) - Cosimo Lupo INFN Rome (ITALY) - Gianvito Urgese Politecnico di Torino Turin (ITALY) We will train attendees on advanced experimental methods and electrophysiological data, with a focus on their application in building computational models of single neurons and neuronal networks. We welcome applications from PhD students and Postdoctoral Researchers in a variety of fields, including biology, neurobiology, psychology, physics, engineering, mathematics, and industry professionals with a relevant background. Applicants are expected to have a strong academic background in their discipline, a demonstrated interest in neuroscience, and at least a basic familiarity with computer programming. We will soon post updates about the training organisation. Format: Morning lectures will be complemented with Afternoon Hands-on sessions. Date and Location: September 4th to September 11th, 2025 at the Horse Country Resort Alabirdi - Oristano, Sardinia (ITALY) <https://www.horsecountry.it/en/> Application Deadline: 5 July 2025 Applications: Please visit BRANDY <https://brandy.ebrains-italy.eu/> (corrected link) where you can find more information regarding costs, travel, and lodging. If you have any questions about the school or the application process, please contact smgsolinas(a)uniss.it We look forward to your registration and to welcoming you to the BRAin Dynamics AcademY BRANDY! Best regards, EBRAINS-Italy Training Activity Organizers - Sergio Solinas University of Sassari (ITALY) - Jonathan Mapelli University of Modena and Reggio Emilia (ITALY) - Daniela Gandolfi University of Modena and Reggio Emilia (ITALY) - Paolo Enrico University of Sassari (ITALY) Best regards, Sergio MG Solinas Dip. di Scienze Biomediche Università di Sassari Viale San Pietro 23 07100 - Sassari

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Call for Participation: International Artificial Intelligence Summer School – IAISS 2025, Sept 21-25, Riva del Sole Resort & SPA @ Tuscany * Early Registration: by June 23 *
by IAISS Organizing Committee June 18, 2025

June 18, 2025

* Apologies for multiple copies. Please forward to anybody who might be interested, thanks! * IAISS2025, A Residential Summer School in AI & Generative AI for Science and Engineering IAISS 2025 is a full-immersion 5-day Summer School in Tuscany on cutting-edge advances in AI and Generative AI with lectures delivered by world-renowned experts. Riva del Sole Resort & SPA @ Tuscany, Italy, Sept 21-25, 2025 https://2025.iaiss.cc iaiss(a)icas.cc REGISTRATION: by June 23 (AoE) https://2025.iaiss.cc/registration/ Oral Presentation Submission Deadline: by June 23 (AoE) Applicant *may* submit (during the Registration Process) a research abstract (max 2 pages; any format) for presentation. School directors and the scientific committee will review the abstracts and will recommend for poster and/or short talk. Abstract must be submitted by June 23 during the registration process. LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. *Yuki Asano, University of Technology Nuremberg, GermanyPierre Baldi, University of California, Irvine, CA,USALucas Beyer, OpenAI, Zürich, SwitzerlandWessel Bruinsma, Microsoft Research Amsterdam, The NetherlandsSam Buchanan, Toyota Technological Institute at Chicago, USAFloris Geerts, University of Antwerp, BelgiumSven Giesselbach, Fraunhofer Institute - IAIS & Telecom SystemsVicky Kalogeiton, Ecole Polytechnique Paris, FranceThomas Kipf, Google DeepMind, USAYi Ma, University of California, Berkeley, USAQing Qu, University of Michigan, USAAbigail See, Google DeepMind, London, UKMichal Valko, Meta Paris, FranceYaodong Yu, OpenAI, USADaniel Zügner, Microsoft Research Berlin, Germany * TUTORIAL SPEAKERS: *Druv Pai, University of California, Berkeley, USA* https://2025.iaiss.cc/lecturers/ https://2025.iaiss.cc/lectures/ VENUE: https://2025.iaiss.cc/venue/ Riva del Sole Resort & SPA Località Riva del Sole‚ Castiglione della Pescaia (Grosseto) CAP 58043‚ Tuscany‚ Italy p: +39-0564-928111 e: booking.events(a)rivadelsole.it w: https://www.rivadelsole.it/en/ REGISTRATION: https://2025.iaiss.cc/registration/ CERTIFICATE & 8 ECTS: The International Artificial Intelligence Summer School – IAISS 2025 is a full-immersion five-day Summer School at the Riva del Sole Resort & SPA (Castiglione della Pescaia – Grosseto – Tuscany, Italy) on cutting-edge advances in AI and Generative AI with lectures delivered by world-renowned experts. The Summer School provides a stimulating environment for PhD students, Post-Docs, junior academics (only up to assistant professors), early career researchers, and industry leaders (and highly motivated, promising and brilliant Master students / BSc students). Participants will also have the chance to present their results with talks, and to interact with their colleagues, in a convivial, professional and productive environment. PhD students, PostDocs, Industry Practitioners and Junior Academics (only up to assistant professors) will be typical profiles of the IAISS attendants. The Summer School will involve a total of 36–40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated Master Student – BSc Student) attending the Summer School. Language: English. To participate in the IAISS 2025, all attendants must (1/2) register for the school (by June 23, 2025) and (2/2) book accommodation at the school venue, “Riva del Sole Resort & SPA” (by July 23, 2025); all attendants must stay at the “Riva del Sole Resort & SPA”. Once accommodation has been booked at “Riva del Sole Resort & SPA“, the participant must send this information (including the Booking Number) to the IAISS organizing committee (iaiss(a)icas.cc) IAISS is a residential school, so all lecturers and participants must reside in the same Hotel (Riva del Sole Resort & SPA). No exceptions are made. For privacy reasons, the Hotel cannot match people. If you have someone to share the apartment with, please send to the Hotel ( booking.events(a)rivadelsole.it ) the name, surname and email address. Otherwise the solution is to book an apartment in single use. IAISS is organized as a non-profit scientific event. Please note that only IAISS registered participants can book a room (in hotel or apartment) at the Riva del Sole Resort & SPA with the accommodation form attached in the registration email and with the IAISS Discounted Rates. The Booking Office of the Riva del Sole Resort & SPA will verify the names of the participants and the corresponding registration number to confirm the booking. Anyone interested in participating in IAISS 2025 should register as soon as possible: https://2025.iaiss.cc/registration/ See you in Riva del Sole in September! IAISS 2025 Organizing Committees. https://2025.iaiss.cc iaiss(a)icas.cc Obviously, this is only a Call for Participation, to have complete and updated information we recommend you access the relevant website: https://2025.iaiss.cc <https://2025.iaiss.cc> the News Section: https://2025.iaiss.cc/category/news/ <https://2025.iaiss.cc/category/news/> and the FAQ: https://2025.iaiss.cc/faq/ * Apologies for multiple copies. Please forward to anybody who might be interested, thanks! *

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PhD position in Sensory Neurotechnology
by Reichenbach, Tobias June 18, 2025

June 18, 2025

Dear all, I am excited to announce an opening for a PhD position at the Chair for Sensory Neuroengineering, Department Artificial Intelligence in Biomedical Engineering at FAU in Germany. The PhD student will work on an innovative project in the neurobiology of communication. The project will investigate neurobiological mechanisms and electrophysiological markers of speech comprehension. The PhD student will therefore develop and employ EEG hyperscanning, in which the neural activity of several subjects engaged in a conversation will be measured simultaneously. They will furthermore develop AI algorithms to analyse the obtained data. The results will contribute to better customization and real-time adaptation of hearing aids to their wearers. FAU is the most innovative university in Germany and ranks second among the most innovative European universities. It is located in one of the most attractive regions in Germany. Erlangen is a bicycle-friendly city with 100,000 inhabitants, former home of the Huguenots as well as a key location for industry. It is close to Nuremberg, a city with a population of half a million and a metropolitan flair. The mixture of academia, innovative companies, art and culture makes the region the perfect place for creative minds, keen athletes and nature lovers. More information is available here: https://www.neurotech.tf.fau.eu/phd-position-in-sensory-neurotechnology/ With best regards ------------------------------------------- Prof. Dr. Tobias Reichenbach Chair of Sensory Neurotechnology Department Artificial Intelligence in Biomedical Engineering (AIBE) Friedrich-Alexander-University (FAU) Erlangen-Nürnberg Nürnberger Strasse 74 91052 Erlangen https://www.neurotech.tf.fau.eu/

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Thinking About Thinking: Call for web designer to join our team
by Ruairidh Battleday June 17, 2025

June 17, 2025

Dear all, We are looking for a web designer to join our wonderful design team, and help build the online platform for these activities. That person would liaise with our head of design, two content designers, web developer, and webmaster. Thinking About Thinking <http://www.thinkingaboutthinking.org/> is a 501(c)3 non-profit organization that aims to cultivate and spread new computational ideas about intelligence in an open-access manner. We run Summits <http://www.algopreneurship.ai/> on Open Problems for AI and an annual conference on the Mathematics of Neuroscience and AI <http://www.neuromonster.org/>, and will soon be launching a range of online material to complement the in-person events. We are looking for someone with good experience in website design (e.g., Squarespace) that is passionate about and currently studying a degree related to intelligence (or has done in the past). This is a great organization to blend your academic and professional interests, in this case in design! If you are interested, or know someone that might be, please do let us know, including your resume and samples of past work. This will be a very fun role, working with enthusiastic volunteers and junior researchers to build a globally recognizable brand. The position would be paid, at $30 per hour on an hourly basis, with an expected time commitment of 1 hour per week on average. We look forward to hearing from you! Ruairidh and the team -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking (www.thinkingaboutthinking.org) Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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CNS*2025 workshop 'Linking structure, dynamics and function in neuronal networks'- July 8-9, Florence, Italy
by Wilhelm Braun June 17, 2025

June 17, 2025

Dear Colleagues, We are excited to announce the workshop Linking structure, dynamics and function in neuronal networks: old challenges and new directions at CNS*2025 on the mornings of July 8 and 9 in Florence, Italy. This workshop provides a platform to discuss possible approaches for integrating the fundamental aspects of structure, dynamics, and function. In particular, the workshop aims to identify the properties of neural networks that make them suitable models for neural computation. Additionally, it seeks to define a minimal set of features leading to functional neural networks, thereby addressing conserved evolutionary principles. Details about the program can be found on our workshop homepage: https://sites.google.com/view/cns2025workshop-strudynfun/ Below is the list of confirmed speakers: Gorka Zamora-Lopez Mariia Popova Douglas Zhou Friedrich Schuessler Petra Vertes Lidia Ripoll-Sánchez Anna Levina Katharina Wilmes Leo Agueci Agostina Palmigiano Melika Payvand The workshop will conclude with a panel discussion moderated by Claus C. Hilgetag. We are looking forward to seeing you soon in Florence! Best wishes from Kiel, Cambridge and Hamburg Wilhelm Braun, Kayson Fakhar and Claus C. Hilgetag --- Wilhelm Braun Junior Research Group Leader CAU Kiel, Faculty of Engineering Department of Electrical and Information Engineering Nanoelectronics Guest Research Associate, UKE Hamburg Web: wilhelmbraun.github.io

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CNS*2025 Workshop "Mechanisms for Oscillatory Neural Synchrony"
by Canavier, Carmen C. June 17, 2025

June 17, 2025

Dear Colleagues, We are excited to announce the upcoming CNS*2025 Workshop "Mechanisms for Oscillatory Neural Synchrony", to be held on Tuesday, July 8, 2025, in Florence, Italy. https://www.medschool.lsuhsc.edu/cell_biology/cns_2025.aspx This workshop will bring together researchers who have recently published on synchronization networks of coupled oscillators, with an emphasis on phase response curve (PRC) theory. Carmen Canavier: A Mean Field Theory for Pulse-Coupled Oscillators based on the Spike Time Response Curve ; LSU Health Sciences Center New Orleans Joshua A Goldberg: Empirical study of dendritic integration and entrainment of basal ganglia pacemakers using phase response curves; Hebrew University of Jerusalem Dimitri M Kullmann: Phase response curves in the hippocampus and cerebellar cortex; University College London Hermann Riecke: Paradoxical phase response of gamma rhythms facilitates their entrainment in heterogeneous networks; Northwestern University Yangyang Wang: Variational and phase response analysis for limit cycles with hard boundaries, with applications to neuromechanical control problems; Brandeis University Brandon Williams Fast spiking interneurons generate high frequency gamma oscillations in the medial entorhinal cortex; Boston University

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Call for Applications: MSc Health Data Science at the University of Plymouth
by Vesna Vuksanovic June 17, 2025

June 17, 2025

Dear All * Apologies for cross-posting* We are pleased to invite applications for our MSc Health Data Science programme at Swansea University, UK. Our MSc programme offers a comprehensive curriculum covering key areas including Machine Learning, Health Data Modelling, Visualisation and Linkage. The programme is designed to provide the knowledge, skills and understanding that can be used across various healthcare areas and focuses on developing practical, healthcare-ready skills alongside strong theoretical foundations. Our students benefit from hands-on projects to gain relevant, transferable technical skills and software proficiency for working with and manipulating health data, and to learn how to use and apply advanced statistical and machine learning methods with real-world data. 🔗 Learn more: MSc Health Data Science - Swansea University<https://www.swansea.ac.uk/postgraduate/taught/medicine/health-data-science-…> 📅 Applications are open for both September and January intakes. For further information or specific queries, please feel free to contact me directly. We look forward to welcoming the next generation of health data scientists! Kind regards Vesna Vuksanovic, PhD, FHEA Programme Director, MSc Health Data Science Senior Lecturer Health Data Science _______________________________________________________________________________________________________________________________________________ Swansea University Medical School Data Science Building Swansea SA2 8PP UK

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