- Comp-neuro - lists.cnsorg.org

Advancing Scientific Discovery with AI - Summer School | June 29 - July 3, 2025, Caen, France
by Frederic Jurie March 7, 2025

March 7, 2025

Advancing Scientific Discovery with AI Summer School | June 29 - July 3, 2025, Caen, France https://ai4science.sciencesconf.org/ A program to learn and collaborate at the intersection of AI and scientific discovery. About the Summer School This summer school provides a platform for researchers and students from diverse scientific backgrounds to delve into Artificial Intelligence and its applications in scientific research. Over five days, participants will explore current techniques, learn from experienced specialists, and collaborate with peers on relevant scientific problems. Each day focuses on a specific application domain and the related AI methodologies. This program aims at exploring the potential of AI to accelerate research and improve our understanding of complex scientific phenomena. Program Overview Sunday, June 29, 2025 (5:00 PM - 8:00 PM) Welcome Reception: Participants can attend an evening of networking and introductions. Snacks will be served while participants share their motivations, backgrounds, and AI-related projects with fellow participants and speakers. Daily Structure Each day will be structured to facilitate learning and interaction, combining a variety of formats. Expect a blend of: Lectures: Comprehensive presentations introducing key concepts and theoretical frameworks. Hands-on Practical Sessions: Application of the newly learned AI techniques to concrete scientific problems, in dedicated labs. Conferences: Seminars led by specialists in their respective fields. Exchange and Discussion Sessions: Engaging discussions to reinforce understanding and explore diverse perspectives, led by a scientific personality. Breaks and Free time: Time to recharge and connect with participants and speakers. Monday, June 30, 2025 (9:00 AM - 7:00 PM) Theme: AI for Medical Applications Focus: Medical Image Processing. AI Foundations: Machine learning and deep learning basics, convolutional neural networks. Participants will explore how AI algorithms, specifically convolutional neural networks, are used in medical diagnostics and analysis from image processing. Tuesday, July 1, 2025 (9:00 AM - 7:00 PM) Theme: AI for Simulation Acceleration Focus: Accelerating simulations in fields such as astronomy. AI Foundations: Generative models. Participants will learn about the potential of generative models in accelerating scientific simulations, exploring their application in high-performance computing. Wednesday, July 2, 2025 (9:00 AM - 7:00 PM) Theme: AI for Inverse Problems Focus: Sensor localization in magnetometry and related fields. AI Foundations: Physics-inspired neural networks. Participants will discover the application of physics-inspired neural networks to solve inverse problems, using physical laws to constrain the neural architectures. A part of the afternoon will be dedicated to a social event at the Caen Town Hall. Thursday, July 3, 2025 (9:00 AM - 7:00 PM) Theme: AI for Materials Science Focus: Materials discovery and characterization. AI Foundations: Uncertainty quantification, Bayesian models. Participants will learn about the use of AI for materials discovery, combining Bayesian methods with deep learning to provide uncertainty in material predictions. Friday, July 4, 2025 (9:00 AM - 5:00 PM) Theme: AI for Particle Physics Focus: Analysis of particle physics data and anomaly detection. AI Foundations: Deep learning for physics data analysis, anomaly detection. Participants will explore the application of deep learning techniques in particle physics, focusing on data analysis and anomaly detection in large datasets obtained from colliders and telescopes. Application Process Individuals interested in applying should submit the following: A letter of motivation explaining your interest in the summer school and how it relates to your research. A detailed CV outlining your educational background, skills, and any relevant research experience. The selection process aims to ensure a diverse group of participants from different scientific fields, with a range of expertise levels. Please submit your application at https://ai4science.sciencesconf.org/ Further Information The names of the scientific personalities leading each day and the full list of speakers will be announced shortly. For further inquiries, please do not hesitate to contact us at ai4science(a)sciencesconf.org. We look forward to receiving your application and welcoming you to this enriching summer school experience!

1 0

Call for contribution and registration to the Systems Vision Science Symposium: Aug. 20-22, 2025, in Tuebingen, Germany
by Pavlovic, Maria March 7, 2025

March 7, 2025

Systems Vision Science Symposium <https://summerschool.lizhaoping.org/contributions-for-symposium/> Aug. 20-22, 2025 in Tübingen, Germany<https://summerschool.lizhaoping.org/contributions-for-symposium/> Our symposium takes place at the end of our Systems Vision Science Summer School <https://summerschool.lizhaoping.org/> Aug. 11-22, 2025. Our symposium's keynote speaker: Tadashi Isa. Invited speakers of the Systems Vision Science Summer School and Symposium include: Marco Bertamini, David Brainard, Peter Dayan, Andrea van Doorn, Roland Fleming, Pascal Fries, Wilson S Geisler, Robbe Goris, Sheng He, Tadashi Isa, Tomas Knapen, Jan Koenderink, Larry Maloney, Keith May, Marcello Rosa, Jonathan Victor, Li Zhaoping. -------------------------------- We invite you to participate in and contribute (in form of posters) to the symposium. Your contribution will be in the general topic of Systems Vision Science, which promotes the combination of computational, behavioral, and neuroscience methods to discover functions and algorithms for vision in various brain regions and their implementations in neural circuits. To maximize exchanges during the symposium, each poster will be displayed throughout the symposium, which includes four poster sessions (two daytime sessions and two evening sessions), in a venue next to the lecture hall and coffee breaks to give enough time for discussions, networking and knowledge exchange. -------------------------------- To contribute or participate, please fill out the appropriate form at https://summerschool.lizhaoping.org/contributions-for-symposium/ The deadline for symposium contribution is April 30, 2025. Registration for participation without contribution is open until venue capacity (100) is reached. Interested in participating in the summer school before the symposium? You could apply to the summer school by March 31, see https://summerschool.lizhaoping.org/ Please direct inquiries to svs.summerschool(a)tue.mpg.de <mailto:svs.summerschool@tue.mpg.de> -------------------------------- Organizing team: Li Zhaoping Maria Pavlovic Vladislav Aksiotis Junhao Liang Max Planck Institute for Biological Cybernetics University of Tuebingen www.lizhaoping.org<http://www.lizhaoping.org>

1 0

Call for applicants: IRCN and Chen Institute Joint Course on Neuro-inspired Computation
by nagai.yukie＠mail.u-tokyo.ac.jp March 6, 2025

March 6, 2025

Dear colleagues, The International Research Center for Neurointelligence (IRCN), the University of Tokyo has opened the call for applications for the "IRCN and Chen Institute Joint Course on Neuro-inspired Computation" to be held at ICHIJO HALL, the UTokyo Yayoi Campus from July 2 to 5, 2025. https://ircn.jp/en/events/07_ircncourse2025 In a collaborative effort, the World Premier International Research Center for Neurointelligence (WPI-IRCN) at the University of Tokyo and the Tianqiao & Chrissy Chen Institute (Chen Institute) are proud to present the Neuro-inspired Computation Course, a groundbreaking program designed to explore the convergence of natural and artificial intelligence. This course delves into critical topics such as intrinsic dynamics, network architectures, prediction, plasticity, criticality, multi-agent learning, and neuromodulation, highlighting the potential for interdisciplinary innovation in advancing our understanding of cognitive processes. The course is an intensive 4-day program comprising lectures by distinguished international faculty, poster sessions, and interactive discussion sessions. These three pillars of the program help participants deepen their understanding and enhance their expertise in neuroscience and artificial intelligence. The lectures showcase cutting-edge research from around the world, while the poster sessions provide participants with a platform to present their own research. The discussion sessions foster interdisciplinary dialogue, encourage intellectual exchange, and pave the way for future collaborations. = Course details = Dates: July 2 (Wed)-5 (Sat), 2025 Venue: Yayoi Auditorium Ichijo Hall (Inside UTokyo Yayoi Campus ) Language: English Application (Required by April 11, 2025 1500hrs, JST): See the homepage for detailed instructions = Speakers = Eugene Izhikevic (Brain Corp) Mackenzie Mathis (EPFL) Kazuyuki Aihara (WPI-IRCN, The University of Tokyo) Shin Ishii (Kyoto University / WPI-IRCN, The University of Tokyo) Eleonora Russo (Scuola Superiore Sant'Anna, Pisa) Zenas Chao (WPI-IRCN, The University of Tokyo) Takamitsu Watanabe (WPI-IRCN, The University of Tokyo) Hiroaki Kitano (Sony / OIST) Kenichi Ohki (WPI-IRCN, The University of Tokyo) Yukie Nagai (WPI-IRCN, The University of Tokyo) Song Sen (Tsinghua University) Others For enquiries, please contact: course(a)ircn.jp We look forward to receiving applications from all over the world. If you know someone who might be interested, please kindly forward this information to them. Best regards, Yukie Nagai, on behalf of the organizing committees — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Feelings: https://cognitive-feeling.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org

1 0

Lecturer/Senior Lecturer Position in Australia - Monash University
by Elizabeth Zavitz March 5, 2025

March 5, 2025

Dear colleagues, Please find below an advertisement for a Lecturer or Senior Lecturer position in the Department of Electrical and Computer Systems Engineering at Monash University, Melbourne, Australia. Monash Careers – Lecturer/Senior Lecturer <https://careers.pageuppeople.com/513/cw/en/job/675715/lecturer-senior-lectu…> In this role, you will make significant contributions to teaching, engage with students, and collaborate with colleagues in delivering innovative courses. Your work will complement our strengths in control systems, wireless technology, signal processing, and AI techniques, underpinned by expertise in electronics, RF, sensors, energy systems, and computing devices—driving real-world applications that fuel innovation. You will also lead transformative research, contributing to global challenges through impactful work and collaboration. The application deadline is April 2nd, 2025, 11:55 pm AEDT. Please feel free to share this opportunity with interested colleagues. For any inquiries, do not hesitate to reach out. Best Regards, Elizabeth Zavitz Electrical and Computer Systems Engineering Monash University, Australia

1 0

Computational and Cognitive Neuroscience Summer School application open!
by Chengcheng Huang March 5, 2025

March 5, 2025

Applications are open for the 13th Computational and Cognitive Neuroscience Summer School (CCNSS), which will be held from *June 29 to July 20, 2025*, at *Suzhou, China*. Online application: https://www.csh-asia.org/?content/2621 <https://www.csh-asia.org/?content/2621=> Application deadline: *March 31, 2025* About CCNSS: Designed to emphasize computational principles and neural circuit mechanisms of higher cognitive functions, the course aims at training talented and highly motivated students and postdoctoral fellows from Asia and around the world. We welcome both applicants with quantitative backgrounds (including Physics, Mathematics, Engineering and Computer Science) and those with experimental backgrounds. The lectures will introduce the basic concepts and methods, as well as cutting-edge research on higher brain functions such as decision-making, attention, learning and memory. Modeling will be taught at multiple levels, ranging from single neuron computation and microcircuits up to large-scale brain systems and artificial intelligence and psychiatric disorders. Python-based programming labs coordinated with the lectures will provide practical training in important computational methods. 2025 Faculty: João Barbosa, Institute for Neuromodulation & NeuroSpin, Paris Upinder Bhalla, National Centre for Biological Sciences (TIFR) Áine Byrne, University College Dublin Xing Chen, University of Pittsburgh Gustavo Deco, Universitat Pompeu Fabra Michael Häusser, University College London Chengcheng Huang, University of Pittsburgh Kevin Wenliang Li, Google DeepMind Songting Li, Shanghai Jiao Tong University Sukbin Lim, New York University, Shanghai Jorge Mejias, University of Amsterdam Yuanyuan Mi, Tsinghua University Srdjan Ostojic, École normale supérieure Alexander Reyes, New York University Xiao-Jing Wang, New York University Anqi Wu, Georgia Institute of Technology Si Wu, Peking University Organizers: Áine Byrne, University College Dublin Chengcheng Huang, University of Pittsburgh Songting Li, Shanghai Jiao Tong University Jorge Mejias, University of Amsterdam Xiao-Jing Wang, New York University Note: China adopts a unilateral visa-free policy for Germany, France, Italy, the Netherlands, Spain, Malaysia, Switzerland, Ireland, Hungary, Austria, Belgium, Luxembourg, New Zealand, Australia, Poland, Portugal, Greece, Cyprus, Slovenia, Slovakia, Norway, Finland, Denmark, Iceland, Andorra, Monaco, Liechtenstein, South Korea, Bulgaria, Romania, Croatia, Montenegro, North Macedonia, Malta, Estonia, Latvia and Japan until December 31, 2025. Ordinary passport holders from the above-mentioned countries may enter China visa-free for business, tourism, family visit or transit for no more than 30 days. -- Dr. Chengcheng Huang Assistant Professor Department of Neuroscience Department of Mathematics University of Pittsburgh

1 0

Comp Neuro PhD position, Moreno-Bote Lab, Barcelona
by Ruben Moreno Bote March 5, 2025

March 5, 2025

PhD Position in Computational Neuroscience, Ruben Moreno-Bote Lab Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain 1 fully funded PhD position is available in the group of Theoretical and Computational Neuroscience of Ruben Moreno-Bote in the Center for Brain and Cognition at the University Pompeu Fabra, Barcelona, Spain. We are looking for excellent candidates with a Physics, Mathematics or Computer Science background interested in developing theory for the brain and mind. Knowledge of Computational Neuroscience or Neuroscience would be ideal, but it is not necessary. The candidate will develop state-of-the-art theory and models of natural and artificial intelligence by using neural networks, reinforcement learning, machine learning, data analysis and multielectrode neural data. The main research topic of our lab is decision-making, from a multidisciplinary angle. The candidate will benefit from the stimulating environment of the Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our lab https://sites.google.com/view/morenobotecompneuro?pli=1 forms part of a larger network of neuroscience labs in Barcelona. Financial support is provided by the Spanish MINECO. APPLICATION: A full CV in pdf format and an extract of grades for degree and master studies should be sent to the following address: ruben.moreno(a)upf.edu DEADLINE: until the position is filled STARTING DATE: flexible, from September 2025

1 0

NeuroML at Google Summer of Code 2025: looking for candidates for standardised biophysically detailed modelling project
by Ankur Sinha March 5, 2025

March 5, 2025

Dear all, NeuroML[1] is participating in Google Summer of Code under the INCF again this year[2]. You can read more about NeuroML in our paper here[3]. We are looking for candidates with some experience of biophysically detailed modelling to work on our project "Developing standardised biophysically detailed neuronal circuit models using NeuroML/PyNN/Open Source Brain". The idea of the project is to either develop new models using NeuroML (and PyNN and publishing them on Open Source Brain), or standardising existing published models. The project is perfect for PhD candidates that are working on projects that use biophysically detailed computational modelling. We will help them learn NeuroML and its vast software ecosystem to implement their models and simulations in a standardised way from the beginning. Please do tell your colleagues, especially your students, and get in touch if there is anything we can help with. [1] https://docs.neuroml.org [2] https://docs.neuroml.org/NeuroMLOrg/OutreachTraining.html#google-summer-of-… [3] https://elifesciences.org/articles/95135 -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London

1 0

Allen Institute Modeling Software Workshop
by Anton Arkhipov March 5, 2025

March 5, 2025

Dear Colleagues, Applications<https://alleninstitute.submittable.com/submit/306603/2025-allen-institute-m…> for the Allen Institute Modeling Software Workshop<https://alleninstitute.org/events/2025-modeling-software-workshop/> are open until March 15th, 2025. We hope you will apply and look forward to hosting this workshop on July 28-30, 2025 at the Allen Institute in Seattle, WA. This hands-on workshop focuses on building and simulating complex and heterogeneous network models grounded in real biological data. Participants will learn to use BMTK, SONATA, VND, our data, and models for simulating brain circuits. Selected applicants will be notified by May 1, 2025. Limited travel funding is available. We are looking forward to hearing from you. Best regards, Anton. Anton Arkhipov Investigator, Allen Institute antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> alleninstitute.org<https://alleninstitute.org/> brain-map.org<https://portal.brain-map.org/>

1 0

Human Neocortical Neurosolver (HNN) Online Workshop
by Gao, Joyce March 4, 2025

March 4, 2025

Dear all, We invite you to join us for our 2025 Spring Online Human Neocortical Neurosolver (HNN) Workshop! HNN is a user-friendly software tool for interpreting the cell and circuit level origin of human MEG and EEG signals (Neymotin et al 2020, https://hnn.brown.edu) This workshop will be hosted virtually on Wednesday, April 9th from 9 AM - 3 PM (ET). You can find out more about the workshop and sign up here: tinyurl.com/hnn-workshop-registration. Seats are limited, so if you are interested, we recommend signing up today! Our best, Jones Computational Neuroscience Lab Brown University, Carney Institute for Brain Science

1 0

InterfaceNeuro meeting May 7-8 in Atlanta
by Rozell, Christopher J March 4, 2025

March 4, 2025

I’m writing to invite you to attend a conference hosted May 7-8 at Georgia Tech called InterfaceNeuro (https://interfaceneuro.org) which targets the intersection of neuroscience, neuroengineering, clinical/translational research, neurotech industry, and individuals with lived experiences. While each of these areas obviously has their own meetings, this conference is unique in interfacing these areas all together to find points of collaboration. The theme this year is "Integrating Brain, Body, and Machine for Next-Gen Intelligent Interfaces". The program features curated invited talks, a keynote from Dr. Mike Okun, contributed poster sessions, and a featured event focused on patient's lived experiences with neurotechnology. You can see from the program that the curated talks have been chosen to span disciplines and generate discussion. We've minimized registration fees to try and make the meeting as accessible as possible (note that there is no virtual component). Poster submissions are due by March 14 (as part of registration), and there will be a slate of best poster prizes for trainees. This will be the first meeting hosted by Georgia Tech building off of previous offerings by Rice University’s Neuroengineering Initiative, and we are excited to welcome you all to Atlanta. Please reach out if you have questions. Otherwise, we look forward to seeing you in May!

1 1

Predoctoral position in the NeuroNanotech MSCA Doctoral Network
by Miguel Valencia Ustárroz March 4, 2025

March 4, 2025

We are seeking a talented predoctoral candidate for the project: "In-vivo assessment of nanotecnologies for smart neuromodulation <https://neuronanotech.eu/phd-projects/in-vivo-assessment-of-nanotecnologies…>" within the NeuroNanotech MSCA Doctoral Network <https://neuronanotech.eu/phd-projects/> HOST INSTITUTION Center for Applied Medical Research (CIMA, Spain) & Cajal Insitute (CSIC, Spain) PhD PROJECT DESCRIPTION The proposed project falls within a multidisciplinary and cross-disciplinary research line at the intersection of engineering, nanotechnology, and neuroscience, aiming to develop intelligent neuromodulation systems for neurological and neurodegenerative diseases. With a primary focus on Parkinson’s disease (PD), this doctoral thesis project seeks to integrate the expertise of the “Neurophysiological Monitoring and Control Laboratory” at CIMA in Pamplona and the “Neurophysiology and Synaptic Plasticity Laboratory” at the Cajal Insitute in Madrid to assess the suitability of nanotechnology-based neural interfaces in the challenge of restoring neural dynamics of motor control. During the project, we will explore the use of nanostructured electrodes and ultra-sensitive spintronic magnetic sensors together with real-time signal processing to develop a proof of concept of a smart-stimulation framework to manipulate motor behaviour in animal models of Parkinson’s disease. The system will pursue high levels of tissue integration and stable performance in recording/stimulation and avoiding electrode degradation. During the project, the candidate will work on key aspects of the development of the neuromodulatory solution such as: 1. In-vivo assessment of long-term biocompatibility of the sensing and stimulation interfaces. 2. Adaptation of the neuromodulation system for the use of in-vivo/freely moving animal models of Parkinson’s disease as a proxy for future human use. 3. Increase our knowledge of the relationship between magnetic and electrophysiological readings. 4. Development of signal processing techniques to de-noise and enhance sensitivity of detection of proposed technologies. 5. Assessment of the functional performance of the smart sensing and stimulation interfaces on the animal models of Parkinson’s disease As a result, the candidate will have the opportunity to learn: 1. Methods and technologies for in-vivo/freely moving electrophysiological recordings, surgery training (including stereotactic methods, multi-site multimodal recordings, and stimulation), animal handling, methods for motor impairment assessment, and viral injections. 2. Histological processing, confocal microscopy 3. Hardware development and control, real-time signal processing, integration of multimodal sources such as video, ephys and sound, data analysis and statistics including AI/ML RESEARCH SUPERVISORs Miguel Valencia Ustárroz (mvustarroz(a)unav.es) Physiological Monitoring and Control Lab <https://cima.cun.es/en/research/research-programs/immunology-immunotherapy-…> @ CIMA Eduardo Martín Montiel (eduardo.martin(a)cajal.csic.es) Neurophysiology and Synaptic Plasticity Lab <https://cajal.csic.es/en/neurophysiology-and-synaptic-plasticity/> @ CSIC RESEARCH GROUP DESCRIPTION The Physiological Monitoring and Control group at CIMA integrates bioengineering and physiology to solve challenges associated with the lack of translational biomarkers in the development of new therapies, limited access to new monitoring technologies in in-hospital and out-of-hospital settings, and precision medicine through the development of personalized diagnostic and treatment methods. To this end, they implement and deploy (i) miniaturized recording systems for electrophysiological recordings (ii) intelligent stimulation systems and (iii) systems for monitoring physiological variables in humans. The goal: to develop and validate new biomarkers and therapeutic approaches that are preferentially applied in neurological and neurodegenerative diseases (although they also find application in metabolic diseases, surgical monitoring, anesthesia, and cancer). The Neurophysiology and Synaptic Plasticity group at Cajal Insitute is focused on the study of the cellular processes and molecular mechanisms underlying the regulation of synaptic transmission, and particularly in the ability of neurons to regulate the synaptic strength over time and the properties, mechanisms and consequences of astrocyte signalling on neuronal excitability and synaptic transmission in the control of motor activity, both in physiological and pathological conditions. APPLICANT’S REQUIREMENTS - A degree/master in engineering, physics, or similar with a deep interest in neurosciences, physiology, and medical engineering - Knowledge of Python/Matlab and interest in hardware integration/control - Previous experience in any of these areas will be highly valued: hardware development, medical electronics, biomedical signal processing, electrophysiology, optogenetics, histological processing, in vitro and in vivo experimentation. ADDITIONAL PHD APPLICATION AND RECRUITMENT STEPS No additional requirements apart from those derived from the secondments are considered ELIGIBILITY CONDITIONS: - Mobility requirements: candidates have not resided or carried out their main activity (work, studies, etc.) in Spain for more than 12 months in the 36 months immediately before the recruitment date. - Research experience: must be doctoral candidates, i.e., not already in possession of a doctoral degree at the date of recruitment. - Candidates must enroll in a doctoral programme in the relevant EU Member State/Associated Country. APPLY NOW!!! @ https://neuronanotech.eu/apply-now/ ---------------------------------------------------- Miguel Valencia Ustárroz, PhD Physiological Monitoring and Control Lab <https://cima.cun.es/en/research/research-programs/immunology-immunotherapy-…> Biomedical Engineering Program CIMA/University of Navarra e-mail: mvustarroz(a)unav.es Tel: + 34 948 194700, ext 2007 http://www.researcherid.com/rid/C-3055-2009 http://orcid.org/0000-0001-5617-5270 https://www.scopus.com/authid/detail.uri?authorId=7101646864 *CONFIDENCIALIDAD: La información contenida en esta comunicación puede ser confidencial y está destinada para el uso exclusivo del destinatario arriba designado. Si usted no es el destinatario, cualquier divulgación, reproducción, distribución o uso de esta comunicación está estrictamente prohibida. Si usted ha recibido esta transmisión por error le rogamos nos informe de este error. Si usted es el destinatario de esta comunicación, por favor no transmita ni distribuya su contenido sin la autorización previa del autor de la comunicación.* *CONFIDENTIALITY: The information contained in this communication may be privileged and confidential and is intended for the exclusive use of the addressee designated above. If you are not the addressee, any disclosure, reproduction, distribution or other dissemination or use of this communication is strictly prohibited. If you have received this transmission in error please would you be kind enough to inform us. If you are the intended recipient, please do not forward or distribute the contents electronically or in a hard copy without the prior authorisation of the author of this communication.* -- *Este mensaje puede contener información confidencial. Si usted no es el destinatario o lo ha recibido por error, por favor, bórrelo de sus sistemas y comuníquelo a la mayor brevedad al remitente. Los datos personales incluidos en los correos electrónicos que intercambie con el personal de la Universidad de Navarra podrán ser almacenados en la libreta de direcciones de su interlocutor y/o en los servidores de la Universidad durante el tiempo fijado en su política interna de conservación de información. La Universidad de Navarra gestiona dichos datos con fines meramente operativos, para permitir el contacto por email entre sus trabajadores/colaboradores y terceros. Puede consultar la Política de Privacidad de la Universidad de Navarra en la dirección: **https://www.unav.edu/aviso-legal* <https://www.unav.edu/aviso-legal>**** ** ** *This email message may contain confidential information. If you are not the intended recipient of this message or their agent, or if this message has been addressed to you in error, please immediately alert the sender by reply email and then delete this message and any attachments. The personal information included in email messages exchanged with employees of the University of Navarra may be stored in the database of your interlocutor and/or the servers of the University for the time-period stipulated by its internal information storage policy. The University stores such data for purely administrative purposes, to facilitate e-mail contact between its employees and third parties. The University of Navarra Privacy Policy may be accessed at https://www.unav.edu/aviso-legal <https://www.unav.edu/aviso-legal> ***** ** ** _Antes de imprimir este mensaje o sus documentos anexos, asegúrese de que es necesario. Proteger el medio ambiente está en nuestras manos. Before printing this e-mail or attachments, be sure it is necessary. _It is in our hands to protect the environment.__

1 0

Registration is now open for BrainNet 2025 workshop!
by Pascal Helson March 3, 2025

March 3, 2025

Dear all, We are thrilled to announce the fourth BrainNet workshop. If you're interested in exploring how analysis of brain data, network science and different imaging methods can explain more about the brain and its functioning, we cordially invite you to attend the BrainNet 2025 in Stockholm, Sweden, from May 5th to 8th. Our interdisciplinary set of speakers will showcase state-of-the-art methods for analyzing and explaining brain data, offering insights from both theoretical and experimental perspectives. The event is hybrid, you can participate either in person or virtually. For on-site participants, you can submit an abstract for giving a contributed talk! Registration closes on 6th of April 2025. The confirmed speakers are: Adrián Ponce-Alvarez, Polytechnic University of Catalonia Roxana Zeraati, Max Planck Institute for Biological Cybernetics Michael Winding, Francis Crick Institute Barbara Hollunder, Charité - University Medicine Berlin Jacob Vogel, Lund University Alex Bhogal, UMC Utrecht Andrew Lehr, University Medical Center Göttingen Sacha van Albada, Research center Jülich Lida Kanari, Open Brain Institute Grégoria Kalpouzos, Karolinska Institutet Katharina Heining, Karolinska Institutet Annegret Habich, Karolinska Institutet Rodrigo Moreno, KTH Dhrubaditya Mitra, Nordita, Stockholm University Josefine Waldthaler, Karolinska Institutet This is a unique opportunity to connect with the experts and the participants, the event is structured with ample time for discussions. You can find all the details – including the preliminary schedule, speaker list, and registration link – on the BrainNet 2025 webpage at https://brainnet2025.carrd.co/. We look forward to seeing you there! Please distribute the link in your networks for anyone who might be interested in attending. Best regards, The BrainNet 2025 Organizing Committee: Pascal Helson, KTH Arvind Kumar, KTH Henri Riihimäki, Nordita, Stockholm University Jason Smith, Nottingham Trent University Gonzalo Uribarri, KTH Sarah Vandenbulcke, KTH

1 0

Student/TA applications are open for Neuromatch summer courses
by Bonnen, Kathryn March 3, 2025

March 3, 2025

Dear colleagues, Student and TA applications are open for Summer 2025 ! This is a great opportunity to learn computational concepts and modeling with students from around the globe. Courses are available in Computational Neuroscience, NeuroAI, Deep Learning and Computational Climate Science. You can apply as a student or a TA (TA positions offer financial compensation). Please share with students/postdocs and your departments. More information below. Thanks, Kate Bonnen Kathryn Bonnen Assistant Professor, School of Optometry Indiana University kbonnen(a)iu.edu<mailto:kbonnen@iu.edu> https://bonnenlab.github.io<https://bonnenlab.github.io/> -- We're thrilled to announce our lineup of immersive courses at Neuromatch Academy! 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. 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. * 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. * Participation 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<mailto:nma@neuromatch.io>. We look forward to welcoming you to the Neuromatch Academy family!

1 0

[Call for Abstracts] 5th Inter. Conf. Phil. Mind (15-21 May 2025)
by steven gouveia March 2, 2025

March 2, 2025

Dear All, We are happy to announce the Call for Abstracts for the 5th International Conference Philosophy of Mind: Natural and Artificial Intelligence, which will happen between the 15-21 May 2025 at the Faculty of Humanities of the University of Porto. The conference will be divided into two formats: 15-16 May fully online, and 19, 20 and 21 May 2025 fully in-person in Porto. Keynotes speakers are: * Michael Spezio (Scripps College, USA) * Anna Strasser (LMU-Munich) * Gabriel Mograbi (Federal Uni. Rio Janeiro) * Sara Lumbreras (Uni. Pontificia Comillas, Madrid) * Sofia Miguens (University of Porto). The best submitted talk will receive the Philosophy of Mind Award 2025 (waived fee). More information can be found here: https://ifilosofia.up.pt/activities/5-international-conference-philosophy-m… [deadline: 15 March 2025]. Organizers

1 0

Two fully funded PhD opportunities @University of Plymouth starting October 1, 2025
by Vassilis Cutsuridis March 2, 2025

March 2, 2025

We are excited to offer **** two **** *fully-funded PhD positions* at the University of Plymouth in the fields of Neuromorphic AI, Brain-Computer Interaction, Optimization, and Biosignal Analysis. Details of both opportunities are below. *Generative AI for image and video reconstructions from brain signals* Can we access our inner thoughts and memories from brain signals and reconstruct their visual contents? The project aims to develop an explainable and trustworthy Generative AI pipeline system capable of decoding in real-time electroencephalography (EEG) brain signals of human participants while they are passively viewing or imagining visual content (faces, animals, etc) and of reconstructing their visual content with high fidelity. *Link*: https://www.plymouth.ac.uk/study/research-degrees/postgraduate-research-stu… <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.plymo…> *Supervisors*: Vassilis Cutsuridis, Giorgio Ganis, Vivek Singh *Contact*: vassilis.cutsuridis(a)plymouth.ac.uk *Enhancing AI Performance with AMD's Neural Processing Units* The project aims to maximize the potential of AMD’s cutting-edge Neural Processing Units (NPUs) in the area of computer vision. This project is partially funded by AMD and the successful candidate will collaborate with AMD researchers. *Link:* https://www.plymouth.ac.uk/study/research-degrees/postgraduate-research-stu… <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.plymo…> *Supervisors*: Vasilios Kelefouras, Vassilis Cutsuridis, Krithika Anil *Contact:* vasilios.kelefouras(a)plymouth.ac.uk *Submission deadline* for application materials for both PhD opportunities is *12 noon on March 28, 2025* Feel free to share with anyone who might be interested! --- *Dr Vassilis Cutsuridis* Associate Professor in Computer Science School of Engineering, Computing and Mathematics University of Plymouth, Drake Circus, Plymouth, UK, PL4 8AA Email: vassilis.cutsuridis(a)plymouth.ac.uk Web: https://www.plymouth.ac.uk/staff/vassilis-cutsuridis *** I work strange hours. You may receive emails from me outside of office hours, but please do not feel you need to reply outside of office hours.

1 0

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 March 2, 2025

March 2, 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 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 March 1, 2025

March 1, 2025

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 Feb. 28, 2025

Feb. 28, 2025

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 Feb. 28, 2025

Feb. 28, 2025

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 Feb. 28, 2025

Feb. 28, 2025

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 Feb. 27, 2025

Feb. 27, 2025

*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 Feb. 27, 2025

Feb. 27, 2025

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 Feb. 27, 2025

Feb. 27, 2025

*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 Feb. 27, 2025

Feb. 27, 2025

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 Feb. 27, 2025

Feb. 27, 2025

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