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Tenure-Track Position in Artificial Intelligence for Science
by Frederic Jurie July 15, 2024

July 15, 2024

Job Title: Tenure-Track Position in Artificial Intelligence for Science Department: College of Science Location: University of Caen, Normandy, France Research lab : GREYC CNRS https://www.greyc.fr Reporting To: University President Collaborating With: Fellow Academics, Postgraduate Students Position Level: Academic and Research Working Hours: 64 teaching hours per year; total working hours variable due to additional research, administrative, and service responsibilities Contract Type: Fixed-Term (4 years), with an expectation of automatic promotion to full professorship after the term Gross salary: €43,416/year Package: €200,000 (for recruitment of doctoral students, research funding, etc.) Summary of the position The University of Caen is seeking a dynamic and innovative researcher to join our faculty as a tenure-track professor in the field of Artificial Intelligence (AI) and Machine Learning (ML) for Science. This position is part of our initiative to become a leading institution in AI for transforming research across a wide range of disciplines. We are looking for candidates with a strong multidisciplinary background at the interface of AI/ML and sciences, and whose research can drive significant advancements in nuclear physics, materials science, or chemical engineering. The successful candidate will be expected to contribute to our endeavour of leveraging AI/ML to make discoveries in these fields and to explore the societal impacts of these technological advancements. Main Duties Lead pioneering research projects integrating AI/ML with nuclear physics, materials science, or chemical engineering to drive significant scientific advancements. Interdisciplinary Collaboration: Work with interdisciplinary teams to leverage AI/ML for discoveries across the above scientific disciplines. Secure Funding: Obtain external funding from national and international agencies to support and expand research initiatives. Teaching and Mentorship: Teach and mentor undergraduate and graduate students. Scholarly Publications: Publish research findings in top-tier academic journals and present at prestigious international conferences. Community Engagement: Engage with the broader scientific community and the public to communicate the societal impacts of AI/ML advancements. Curriculum Development: Contribute to the development and enhancement of the AI/ML curriculum within the College of Science. Service Responsibilities: Participate in departmental, college, and university service activities, including committee work and outreach programs. Expected Qualifications Educational Background: A Ph.D. in one of the following fields: Computer Science, AI, ML, Applied Mathematics, Material Sciences, Chemistry, Nuclear Physics. Research Experience: At least 4 years of postdoctoral research experience. Expertise: Demonstrated expertise in applying AI/ML to scientific research, with a strong publication record in top-tier journals. Funding: Proven experience in securing research funding from competitive sources. Communication Skills: Excellent communication and collaboration skills, with a track record of interdisciplinary teamwork. Mentorship: Experience in advising and mentoring graduate students. Teaching: Demonstrated teaching experience at the undergraduate and/or graduate level. Innovation: A strong commitment to innovation and the ability to translate research findings into practical applications. Leadership: Potential for leadership in developing new research initiatives and contributing to the strategic goals of the university. Language : knowledge of French is mandatory for teaching. Application Research Statement: A detailed statement outlining your research interests, goals, main contributions and achievements. Significant Publications: A list of your five most significant publications, along with a portfolio showcasing your research contributions. Research Project Proposal: A comprehensive proposal of your intended research project, including objectives, methodology, expected outcomes. Implementation Plan: A description of how you plan to implement the research project at the University of Caen, including potential collaborations, required resources, and a timeline. How to Apply Applications are to be submitted through the following site: : https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/cand_CPJ.htm The application file has to be filled in with this template: https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/CPJ/CPJ_applica… If you're having trouble with the online submission procedure (which may seem complex at first), we'll be happy to help. Important dates Application Deadline: September 15, 2024 Notification of Decision: By the end of October 2024 Position Start Date: December 2024 Contact For further information, please email Frederic Jurie at frederic.jurie(a)unicaen.fr, using 'AI for Science Tenure-Track Position' as the email's subject. In addition, the official presentation of the position (in French and English) is available here: https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/ListesPostesPub…

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ANEIS: Applied Neurosciences EBRAINS-Italy School - Sept. 9-14, 2024 (Ventotene Island, Italy)
by Mattia Maurizio July 13, 2024

July 13, 2024

Dear Colleague, This is to announce the forthcoming ANEIS 2024 - APPLIED NEUROSCIENCES SCHOOL LINKING NEUROTECHNOLOGY TO CLINICS (Ventotene – LT – Italy - September 9-14, 2024) In the framework of EBRAINS-Italy<https://ebrains-italy.eu/> training initiatives. ANEIS 2024 program offers up to 30 students an immersive experience to the participants at the forefront of neuroscience research and its applications, covering a broad range of themes, including theoretical, computational, and systems neuroscience, data analysis, neuroinformatics, and clinical applications. The deadline for application is July 30, 2024 To process the application, and for other information, please CLICK HERE<https://aneis.eu/> Applicants can be junior scientists (PhD students and Post-Doc fellows or residency students) beginning their careers in the broad field of Neuroscience. Registration is limited to 30 participants. Admission to ANEIS 2024 will be on a selection based on the provided CV, a Motivation letter, and the sponsorship of a senior researcher. Applicants excluded from the list of attendees of ANEIS 2024 will be included in the priority list for the ANEIS 2025. The registration fee is € 300. This amount covers: · tuition fee. · lodging for 5 nights (from September 9 to September 13, 2024) · lunches only and the social dinner. · touristic boat experience We are looking forward to hearing from you. Sincerely, Michele Giugliano (SISSA and UNIMORE) Stefano Ferraina (UNIROMA1) Jonathan Mapelli (UNIMORE) Maurizio Mattia (ISS) [https://www.iss.it/o/iss/images/ISS.png] Scegli l'Istituto Superiore di Sanità. Dona il 5x1000 alla Ricerca Sanitaria Firma e inserisci il Codice Fiscale 80211730587 ________________________________ Per saperne di più clicca qui<[https://www.iss.it/-/l-iss-sostiene-i-giovani-ricercatori-con-il-5x1000-1]>

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Fully funded PhD position in Lifelong Machine Learning at Loughborough University
by Andrea Soltoggio July 12, 2024

July 12, 2024

Dear All, A fully funded PhD position is available in my research group at Loughborough University on the topic "Lifelong learning and shareable models: How to reduce the energy footprint of AI and contribute to a sustainable decarbonised future". Please find further details at https://www.lboro.ac.uk/study/postgraduate/research-degrees/phd-opportuniti… Application deadline: 19th July 2024 This project will further extend research directions highlighted in our recent paper "A collective AI via lifelong learning and sharing at the edge" Nature Machine Intelligence, March 2024, available at : https://rdcu.be/dB9zt Requirements: Applicant should have, or expect to achieve, a first-class honours (or international equivalent) in computer science or related subjects. Applicants must meet the minimum English language requirements ( International website<http://www.lboro.ac.uk/international/applicants/english/>) Project details: Current AI models are not designed to reuse and share knowledge. When conditions change, e.g., data distributions, locations, or platforms, retraining needs to occur from scratch. In some cases, like for foundation models or for complex robotics tasks, the process requires very large amount of data and energy. Recent advances towards lifelong learning and sharable models promise to create a new efficient AI landscape in which machine-learned knowledge can be built incrementally and worldwide with optimized energy use. This PhD project aims to advance the latest lifelong learning and sharable AI models to contribute to reduce the energy footprint of AI. An overview of this emerging field can be found in a recent publication from our group on Nature Machine Intelligence https://doi.org/10.1038/s42256-024-00800-2 The student will be part of a growing group of researchers in machine learning and artificial intelligence in the Computer Science Department with collaborators from Loughborough Business School. Learn more about Digital Decarbonisation<https://www.lboro.ac.uk/schools/business-school/digital-decarbonisation/>. The project is in collaboration with the co-supervision of Dr. Vitor Castro, Dr. Rebecca Higginson and Prof. Tom Jackson. Best regards, Andrea Soltoggio -- Dr. Andrea Soltoggio (he/him or they/them) Reader in Artificial Intelligence Department of Computer Science, School of Science & Intelligent Automation Centre https://www.intelligent-automation.org.uk/about-us/centre-staff & Centre for Information Management https://www.lboro.ac.uk/departments/sbe/cim/ Haslegrave Building, N.2.03 Loughborough University LE11 3TU, UK Email: a.soltoggio(a)lboro.ac.uk<mailto:a.soltoggio@lboro.ac.uk> Web: http://www.lboro.ac.uk/departments/compsci/staff/dr-andrea-soltoggio.html

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Postdoctoral and PhD opportunities - Lefebvre Lab
by J?r?mie Lefebvre July 11, 2024

July 11, 2024

Postdoctoral and PhD opportunities - Resilience and diversity of complex networks - University of Ottawa, Ottawa, Canada Application Deadline: Sept 1st 2024 (reposted, deadline extended) The Lefebvre (https://scholar.google.com/citations?user=CNtIaZoAAAAJ&hl=fr ) and Kharouba (https://kharoubalab.weebly.com/) labs are seeking candidates to fill ONE Postdoctoral and ONE PhD (Physics, Theoretical biology and/or Cellular and molecular medicine) fully funded, co-supervised positions to explore how heterogeneity influences the dynamics and resilience of complex systems. These interdisciplinary projects will combine mathematical (e.g., dynamical systems, spectral theory), computational (e.g., data-informed simulations) approaches used in neuroscience and other complex systems fields to study how cellular heterogeneity contributes to the stability, coding capacity and resilience of neural circuits and overall brain function(s). The overall objective of the projects is to better understand the role played by heterogeneity in the genesis of critical events (e.g., seizures) and identify potential intervention strategies and/or therapeutic targets. A lay summary of the project can be found here (https://theconversation.com/what-epilepsy-teaches-us-about-diversity-and-re…) Relevant publications: https://www.cell.com/cell-reports/fulltext/S2211-1247(22)00636-2, https://www.pnas.org/doi/full/10.1073/pnas.2218841120 The successful candidate will join an extensive network of existing experimental and clinical collaborations with both internal (uOttawa) and external groups (University of Toronto, Krembil Brain Institute, UHN). The research will be conducted in the uOttawa Bioscience Complex, a teaching and research hub hosting dozens of state-of-the-art experimental and computational interdisciplinary research facilities in downtown Ottawa, Canada. Successful candidates will be immersed in a highly interdisciplinary environment, with access to many additional training and networking activities, and be associated with Centre for Neural Dynamics, the Ottawa-Carleton Institute of Biology, the uOttawa Brain and Mind Institute as well as the Krembil Brain Institute. Details Start dates: as early as September 1st 2024. Position Description: Trainees will be expected to work in-person for most of the position. Trainees will be expected to participate in the lab's scholarly activities (i.e., workshops, meetings), and to support other lab member's work whenever applicable. We expect from applicants to demonstrate the ability to work respectfully with others in teams to carry out project goals and contribute to an inclusive lab environment. Additional details of the projects will be provided during the interview process. Please don't hesitate to reach out at Jeremie.Lefebvre [at] uottawa.ca for any questions. Requirements The ideal candidates are expected to possess strong mathematical, computing, writing and presentation skills, and express a vivid interest in computational neuroscience, applied mathematics, computational biology and biophysics. Applicants must meet the required qualifications for admission to graduate/postgraduate studies at the University of Ottawa, and comply to international regulations regarding traveling, studying and working in Canada whenever applicable. Successful candidates must be eligible to work in Ontario as of September 1st 2024 (or at a mutually agreed date) Funding Postdoctoral position: This position is fully funded for 2 years with a stipend of $48,000 CAD per year plus benefits. PhD position: This position is fully funded for 4 years with a stipend of $30,000 CAD per year, including teaching assistantship duties. The successful candidate will be eligible to apply for Teaching Assistant (TA) positions and/or other scholarships, such as entrance scholarships. Accommodations and Accessibility: Should you require a copy of this posting in an alternate format, please contact us as soon as possible and we would be happy to get one to you in a timely manner. We believe in the importance of supporting on the-job success for the incumbent and are pleased to discuss and/or provide specific tools, resources, or other requirements for day-to-day work requirements, as needed. How to Apply :Interested candidates are invited to submit their application to Jeremie.Lefebvre [at] uottawa.ca, using the subject headline "Resilience position". In your dossier, please include: 1. A cover letter stating your interest and explaining why you are a good candidate for this position, and specify clearly which position (Postdoc, PhD) you are applying for 2. Up to date CV including a list of publication, if applicable 3. Contact information for 2 references Applications will be reviewed until the position is filled. Only candidates selected for an interview will be contacted. Jeremie Lefebvre

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[Meetings] Call for Participation - Join Us at NeuroWearX 2024: Advancing Wearable Robotics and Neural Interfacing Technologies @ IEEE EMBC 2024!
by NeuroWearX July 10, 2024

July 10, 2024

Dear Neuroscientists and Roboticists, We are excited to invite you to participate in the NeuroWearX 2024 workshop, held in conjunction with the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2024) on July 15, 2024. This engaging and insightful event will take place from 8:30 AM to 12:30 PM EST at Disney's Coronado Springs in Orlando, USA. We also offer a “Hybrid” format for remote attendees. Call for Participation: Date: July 15, 2024 Time: 8:30 am - 12:30 pm EST Location: Disney's Coronado Springs, Orlando, USA Format: Onsite & Online (via Zoom for free) NeuroWearX Workshop: https://www.neurodesign-hri.ws/neurowearx-2024 In conjunction with IEEE EMBC 2024: https://embc.embs.org/2024/ Workshop Description:: The field of wearable robotics is advancing rapidly, with innovations like exoskeletons and prosthetics poised to revolutionize healthcare and enhance daily living. To fully harness their potential, these devices must be intuitive, comfortable, and seamlessly integrated with the human body and mind. NeuroWearX 2024 workshop will explore the cutting-edge integration of human, AI, and machine through wearable and implantable neural interfacing technologies. Our goal is to revolutionize healthcare with a focus on equity and accessibility. The workshop will cover a wide range of topics, including: - Neural Interfaces and Interaction Technologies: Explore biosensors, wearable robotics, Virtual/Augmented Realities, and human-AI interactions. - Neuroscience and Behavioral Psychology: Understand the cognitive and physiological interactions between humans and technology to enhance user experience, comfort, and satisfaction. - Translational Neurotechnologies: Learn about the path from research to market, technology transfer, and commercialization for diverse populations. Distinguished Speakers: - Dr. He (Helen) Huang, Professor, NC State and UNC - Dr. Pedro Lopes, Associate Professor, University of Chicago - Dr. S. Farokh Atashzar, Assistant Professor, New York University - Dr. Tyler Clites, Assistant Professor, University of California, Los Angeles - Dr. Sean Montgomery, Founder of EmotiBit Don't miss this opportunity to engage with leading experts and fellow professionals in the field. Whether you join us in person or virtually, NeuroWearX workshop is dedicated to provide an inspiring and informative event that will deepen your understanding and broaden your horizons in wearable robotics and neural interfacing technologies. Registration (for Zoom Link): Secure your spot by registering here <https://forms.gle/y6FvyN4DLWReXFFi8>: https://forms.gle/y6FvyN4DLWReXFFi8 We look forward to your participation in this exciting event! Best regards, NeuroWearX Workshop Organizing Committee

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[Call for contributed talks] Bernstein Workshop: Understanding Local Third Factors in Synaptic Plasticity
by Fabian Mikulasch July 10, 2024

July 10, 2024

Several slots for short contributed talks are available at the Satellite Workshop *Understanding Local Third Factors in Synaptic Plasticity: Mechanisms and Functional Implications*//at the *Bernstein conference*//(Sunday, Sep 29, Frankfurt, Germany). The workshop will discuss local factors that determine synaptic plasticity beyond pre- and postsynaptic spiking. Examples include the influence of the postsynaptic membrane potential or Glial cells on synaptic plasticity. More information on https://bernstein-network.de/bernstein-conference/program/satellite-worksho… Potential speakers might apply with a short abstract of the planned talk and relevant references if applicable. We especially encourage early stage researchers to contribute their results! To apply, please contact Andreas Schneider (andreas.schneider(a)ds.mpg.de) Fabian Mikulasch (fabian.mikulasch(a)ds.mpg.de) or Viola Priesemann (viola.priesemann(a)ds.mpg.de) Best regards, Andreas Schneider Fabian Mikulasch Viola Priesemann

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Call for Participation - ACAIN 2024 - 4th Int. Advanced Course on Artificial Intelligence & Neuroscience, September 22-25 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy -> Deadline: July 23
by ICAS Organizing Committee July 10, 2024

July 10, 2024

Call for Participation (apologies for multiple copies) ________________________________________________________________________ The 4th International Advanced Course on Artificial Intelligence & Neuroscience, September 22-25, 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy W: https://acain2024.icas.events E: acain(a)icas.cc FB: https://www.facebook.com/ACAIN.LakeDistrict/ Course Deadline Regular Registration (Course): by July 23 https://acain2024.icas.events/registration/ SCOPE & MOTIVATION: ACAIN 2024: AI meets Computational Neuroscience and Cognitive Science The ACAIN 2024 is an interdisciplinary event featuring leading scientists from AI and Neuroscience, providing a special opportunity to learn about cutting-edge research in the fields of AI, Neuroscience, Neuroscience-Inspired AI, Human-Level AI, and Cognitive Science. The 4th Advanced Course on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion four-day Course and Symposium in Tuscany on cutting-edge advances in Artificial Intelligence and Neuroscience with lectures delivered by world-renowned experts. The Course provides a stimulating environment for academics, early career researchers, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with oral talks or posters, and to interact with their colleagues, in a convivial and productive environment. Two days of keynote talks and oral presentations, the ACAIN Symposium, (September 24-25), will be preceded by lectures of leading scientists, the ACAIN Course, (September 22-23). Bringing together AI and neuroscience promises to yield benefits for both fields. The future impact and progress in both AI and Neuroscience will strongly depend on continuous synergy, exchange, collaboration and efficient cooperation between the two research communities. These are the goals of the International Course and Symposium - ACAIN 2024, which is aimed both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2024 accepts rigorous research that promotes and fosters multidisciplinary interactions between artificial intelligence and neuroscience. The Advanced Course is suited for scholars, academics, early career researchers, Post-Docs, PhD students and industry leaders. The Event (Course and Symposium) will involve a total of 36-40 hours of lectures. Academically, this will be equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Event. LECTURERS https://acain2024.icas.events/course-lecturers/ * Maria Eckstein, Google DeepMind, London, UK * Auke Jan Ijspeert, EPFL, Switzerland * Zeb Kurth-Nelson, Google DeepMind & UCL, London, UK * Loic Matthey, Google DeepMind, London, UK * Kevin J. Miller, DeepMind & UCL, London, UK * Thomas Parr, Oxford University, UK * Melika Payvand, Institute of Neuroinformatics, University of Zurich & ETH Zurich, Switzerland * Alessandro Treves, International School for Advanced Studies, Italy More Lecturers TBA COURSE DESCRIPTION: https://acain2024.icas.events/course-description/ VENUE & ACCOMMODATION: https://acain2024.icas.events/venue/ ACAIN 2024 is a *Residential Conference*, all participants (invited speakers, authors, organizers, chairs, participants) must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed. https://lod2024.icas.events/lod-2024-a-residential-conference/ Riva del Sole Resort & SPA a: Località Riva del Sole - Castiglione della Pescaia (Grosseto) CAP 58043, Tuscany - Italy p: +39-0564-928111 f: +39-0564-935607 e: booking.events(a)rivadelsole.it w: www.rivadelsole.it/en ACTIVITIES: https://acain2024.icas.events/activities/ REGISTRATION: https://acain2024.icas.events/registration/ See you in Tuscany in September! ACAIN 2024 Organizing Committee. E: acain(a)icas.cc W: https://acain2024.icas.events *8th Advanced Course on Data Science & Machine Learning - ACDL 2025, *9-13 June, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) – Tuscany, Italy An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders *Early Registration: by February 23, 2025 (AoE)* https://acdl2025.icas.events/registration/ https://acdl2025.icas.events/ acdl(a)icas.cc The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. *10th International Conference on Learning, Optimization and Data – LOD 2024, *22–25 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://lod2024.icas.events/ lod(a)icas.cc *4th Advanced Course ** and Symposium **on Artificial Intelligence and Neuroscience – ACAIN 2024,* 22–25 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://acain2024.icas.events/ acain(a)icas.cc *Author Registration Deadline: June 23 * *Early Registration Deadline for the Course: June 23* The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. *ICAS* *-* *The Interdisciplinary Centre of Advanced Studies* https://icas.cc/

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Postdoc opportunity in Stockholm, Sweden
by Gonzalo Uribarri July 8, 2024

July 8, 2024

Hello everyone, Our research group is looking for a Postdoc to work on a project involving Machine Learning and Dynamical Systems modeling applied to biomedical data. The project is part of a collaboration with Getinge, a leading MedTech company based in Stockholm, and is funded by a grant from Vinnova, the Swedish innovation agency. You can find the details of the position at the following link: https://kth.varbi.com/en/what:job/jobID:739922/ For both formal and informal inquiries, you can contact me directly ( uribarri(a)kth.se) or the group's PI, Erik Fransén (erikf(a)kth.se) Please share this with anyone who might be interested in the position. Best regards, Gonzalo Uribarri

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[REMINDER] Student applications are open for Imbizo 2025
by Spyridon Chavlis July 8, 2024

July 8, 2024

Dear friends and colleagues, Student applications for the next Imbizo are still *OPEN*. Don’t let this opportunity slip by if you are hoping to join the most diverse neuroscience summer school at the most beautiful beach in the world! If you know anyone who would benefit from an extraordinary computational neuroscience summer school, please distribute this information as widely as you can: *SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO (#Imbizo2025)* 12 January - 2 February 2025, Noordhoek Beach, Cape Town, South Africa https://imbizo.africa/ * Application deadline: 24th July 2024 at 20:00 UTC* The Imbizo is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together *international and local students* under the tutelage of the world's leading experts in the field. Like its international sister courses, this three-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of computational neuroscience, including experimental underpinnings and machine learning analogues. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modeling of neurons, neural systems, behavior, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. It also includes a week focused on neuroscience-inspired machine learning! *Who should apply?* This course is aimed at Masters and early-PhD level students, though Honors or advanced Undergraduates may also apply. Postdoctoral students who can motivate why the course would benefit them are also encouraged to apply. Students should have sufficient quantitative skills (e.g., a background in mathematics, physics, computer science, statistics, engineering, or related fields). Some knowledge of neural biology will be useful but not essential. Experimental neuroscience students are encouraged to apply but should ensure that they have a reasonable level of quantitative proficiency (i.e., at least second-year level mathematics or statistics and have done at least one course in computer programming). *Course fees and Scholarships:* Course Fee: €1450 includes all accommodation, meals, social activities, and ground transport in Cape Town. Thanks to our generous sponsors, significant financial assistance is available to reduce and waive fees for students, particularly for African applicants. We also hope to provide some limited travel bursaries for international students. If you need financial assistance to attend Imbizo, please state so clearly in the relevant section of your application. Scholarships on offer: (a) *Full Scholarship* includes a waived course fee (€1450) and your economy class travel to Cape Town, which will be booked by the Imbizo. (b) *Partial Scholarship* includes a waived course fee (€1450) and a set financial contribution towards your travel costs (paid after arrival in Cape Town). The amount will vary on a case by case basis. (c) *Course Scholarship* includes a waived course fee (€1450), but you will be responsible for booking and paying for your own travel costs to Cape Town. *Note:* (a) You must ensure you have a valid passport when applying. (b) Visa application and related costs remain the responsibility of all accepted students. *Important dates:* Applications CLOSE 24th July 2024 at 20:00 UTC References SUBMITTED 31st July 2024 at 20:00 UTC Outcomes NOTIFIED mid-September 2024 Accept BY 1 week after notifications Imbizo STARTS 12 January 2025 Imbizo ENDS 2 February 2025 *Information and applications* https://imbizo.africa/apply/ *Questions?* isicn.imbizo.planning [AT] gmail.com *What is an Imbizo?* \ɪmˈbiːzɒ\ | Xhosa - Zulu A gathering of the people to share knowledge. View our past FACULTY and TAs: https://imbizo.africa/people/ *ORGANIZERS and 2025 Affiliate Organisations:* Arif Hamid (University of Minnesota) Peter Latham (Gatsby Unit for Computational Neuroscience) Xaq Pitkow (Carnegie Mellon University) Emma Vaughan (Imbizo Logistics) Spiros Chavlis (Foundation for Research and Technology-Hellas) *Sponsors* The Imbizo is made possible by the generous support from the Simons Foundation (https://www.simonsfoundation.org/) the International Brain Research Organisation (IBRO) (https://ibro.org/) as well as the DeepMind, Meta, and others. -- *Spyridon Chavlis, PhD* Postdoctoral Researcher and Systems Administrator Poirazi Lab Institute of Molecular Biology and Biotechnology (IMBB) Foundation for Research and Technology-Hellas (FORTH) Nikolaou Plastira, 100 GR 70013 Heraklion, Crete, Greece Tel: (+30) 2810 39 1264 Εmail: chavlis.spiros(a)gmail.com Webpage: dendrites.gr <https://www.dendrites.gr>

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[Call for Participants] 1st International Whole Brain Architecture Workshop (Online, July 16 Evening JST)
by 山川宏 July 8, 2024

July 8, 2024

Dear Everyone, Hiroshi Yamakawa, Chairperson of the Whole Brain Architecture Initiative (WBAI), Japan. I'm pleased to announce that we will host the "1st International Whole Brain Architecture Workshop" as detailed below. This workshop is a key activity in WBAI's efforts to develop human-like artificial intelligence. Specifically, we aim to share and utilize standardized Brain Reference Architecture (BRA) data and related data papers as design specifications for human-like AI. This workshop marks the first of its kind. Brain-inspired AI systems with architectures similar to the human brain provide intrinsic high interpretability and human compatibility. This approach could effectively bridge the gap to more advanced artificial intelligence (AGI) This event will bring together researchers and experts from a wide range of disciplines, including neuroscience, cognitive science, and artificial intelligence, to understand and emulate the computational capabilities of the brain, and to share and leverage such data We look forward to serving as a catalyst. We cordially invite you to participate in this exciting event. Details: Date & Time: Tuesday, July 16, 2024, 18:00-21:03 JST Format: Online (via Zoom) Language: English Participation Fee: Free Program Highlights: - Keynote Lecture: Prof. Kenji Doya (Okinawa Institute of Science and Technology) "Digital Brain Project of Brain/MINDS 2.0" - Oral Presentation Session (4 presentations) - Tutorial on BRA data construction To register, please fill out the form at the following link: https://docs.google.com/forms/d/e/1FAIpQLSfIqbu1oGUP6LE6ON0tHRDpFWUHmViz7-G… Registered participants will receive Zoom meeting information (URL) the day before and on the day of the event. Organizers: Organizer: The Whole Brain Architecture Initiative Supported by Transformative Research Areas (A) Biology of Behavior Change Operation: WBA Study Group Executive Committee Program Chair: Yoshimasa Tawatsuji Executive Chair: Hiroshi Yamakawa For more information, please visit: https://wba-initiative.org/en/24158/ If you have any questions, please don't hesitate to contact us at: bra-support(a)wba-initiative.org We look forward to your participation! Best regards, Hiroshi Yamakawa Whole Brain Architecture Initiative (WBAI)

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Adam Tyson: Software Tools for Systems Neuroscience @ INCF/OCNS Software WG session on 9th July, 1500 UTC
by Ankur Sinha July 8, 2024

July 8, 2024

Dear all, Apologies for the cross posts. Please do spread the word to interested colleagues. Adam Tyson from the Neuroinformatics Unit at the Sainsbury Wellcome Centre will talk about the software tools that their group develops at the next INCF/OCNS Software Working Group (WG) session on July 09 at 1500 UTC. There will be a Q&A/discussion session after the presentation, followed by any WG business. Please find the abstract and joining information below: - When: July 9, 1500 UTC - Where: Zoom: https://ucl.zoom.us/j/91017703246?pwd=RmdwMW9xL0FFaFVVL0Z6dUtnbkplZz09 - Web page: https://ocns.github.io/SoftwareWG/2024/06/26/wg-meeting-9-july-2024-softwar… Abstract: Understanding the brain requires processing and analysing large, multidimensional datasets. Systems neuroscience, in particular, has undergone a drastic transformation, with individual labs now commonly generating terabytes or even petabytes of data annually. While there has been an increase in software tools to process this data, many of these tools are single-purpose, inadequately maintained, or poorly integrated with the broader software ecosystem. This talk will outline some of the tools we are developing for computational neuroanatomy, video behavioural analysis, and data management. About the speaker: Adam Tyson is the Head Research Engineer at the Sainsbury Wellcome Centre and Gatsby Computational Neuroscience Unit at University College London. He established the Neuroinformatics Unit, a research software engineering team dedicated to developing robust, maintainable, and user-friendly software tools for neuroscience and machine learning. Adam completed a PhD in neuroscience at King's College London before working as a software developer at the Institute of Cancer Research and the Sainsbury Wellcome Centre. Resources/links: - BrainGlobe: https://brainglobe.info/ - Movement: https://movement.neuroinformatics.dev/ - NeuroBluePrint: https://neuroblueprint.neuroinformatics.dev/ - Neuroinformatics Unit: https://neuroinformatics.dev/ - Sainsbury Wellcome Centre: https://www.sainsburywellcome.org/web/ - Gatsby Computational Neuroscience: https://www.ucl.ac.uk/gatsby/gatsby-computational-neuroscience-unit On behalf of the WG, -- 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

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Online Vocational Training and Internship: Python programing and Hypothesis Testing
by PRANAV NERURKAR July 8, 2024

July 8, 2024

Dear colleagues, Apologies for the cross posts. Please spread the word to interested colleagues. Greetings Hope you are doing well. We are launching an internship. Registration: https://internships.utkarshminds.com/ In summary this two months internship has: 1. Students will experience advanced data analysis and work on 25 projects 2. After completion they can get a internship completion certificate 3. They can add in their resume and increase chances of getting a job 4. Only a one time fee of Rs. 99 (USD 2/EURO 2) *Description:* This internship is designed to equip you with the essential skills and knowledge to become an Applied Python Developer. You will learn how to write efficient Python code, work with data structures, handle file operations, and build real-world applications using Python. *Key Highlights:* 1. Experience writing efficient Python code 2. Master data structures and algorithms in Python 3. Build real-world applications with Python *What you will experience:* 1. Write Efficient Python Code 2. Experience best practices for writing clean, readable, and efficient Python code 3. Data Structures and Algorithms 4. Master essential data structures and algorithms in Python for effective problem solving 5. Build Real-world Applications 6. Apply your Python skills to build practical applications and projects Regards *Pranav A. NERURKAR* Specialist - AI & Data science UTKARSH MINDS +91 961-999-77-97 pranav.nerurkar@ <amandine.deplantes(a)igonogo.io>utkarshminds.com www.utkarshminds.com Nirmala Sadan, Jaya Nagar, Kasturba cross road no. 1, Mumbai - 400066

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[Call for Abstracts] - 3rd International Conference on the Ethics of Artificial Intelligence (3ICEAI) (19-25 September 2024)
by steven gouveia July 5, 2024

July 5, 2024

[Call for Abstracts] 3rd International Conference on the Ethics of Artificial Intelligence (3ICEAI) University of Azores, Ponta Delgada, São Miguel Island, Azores 19-25 September 2024 (19-20 Online, 23-25 in-person) About: The third edition of this conference will be organized into two distinct segments. The first segment, scheduled for September 19-20, 2024, will be conducted exclusively online, featuring virtual presentations. The second segment, taking place from September 23-25, 2024, will consist solely of in-person sessions. ETHICS OF AI AWARD 2024 (in-person talks only): The best-submitted abstract will receive the opportunity to deliver a special Award Talk similar to a keynote talk (note: the selected author will have the fee waived). Previous winner (2023): Dr. Cristina Voinea (The Oxford Uehiro Centre for Practical Ethics, Uni. Oxford). We're also proud to announce a publication partnership with Palgrave Macmillan. Selected papers presented at the conference will be considered (following a peer-review process) for inclusion in the Palgrave Handbook of the Ethics of Artificial Intelligence, which will be edited by Steven S. Gouveia. The community is invited to submit proposals in different research fields until August 1st, 2024. KEYNOTES SPEAKERS: * Sabina Leonelli holds the Chair of Philosophy and History of Science and Technology at the Technical University of Munich, where she is also Research Director of the Ethical Data Initiative. * Pekka Mäkelä is an is a Research Coordinator in the Helsinki Institute for Social Sciences and Humanities (HSSH) at the University of Helsinki and the co-leader of the RADAR Group. * Ariane Hanemaayer is an Associate Professor at Brandon University, Canada, in the departments of Sociology and Gender and Women's Studies, and Affiliate Scholar at the Max Planck Institute for the History of Science. * Raul Hakli is a university researcher in practical philosophy and co-leader of the RADAR group. * Eleanor Drage is a Senior Research Fellow at the University of Cambridge Leverhulme Centre for the Future of Intelligence. * Hasse Hämäläinen is AI Scientist at Mehiläinen, holding a PhD in Philosophy in Philosophy from the University of Edinburgh. * Veridiana Cordeiro is a sociologist, a Professor at the Department of Sociology at the University of São Paulo, and a research fellow at the Center for Artificial Intelligence (IBM-Sao Paulo Research Foundation). Topics might include (but are not limited to): 1. Algorithmic Fairness and Bia 2. Privacy and Data Protection 3. Transparency and Explainability 4. Accountability and Responsibility 5. Human Rights and Social Justice 6. AI in Healthcare 7. AI in Autonomous Systems 8. Ethical Frameworks and Guidelines 9. AI and Decision-Making 10. Ethics of AI in Public Policy 11. AI and Environmental Ethics 12. Ethical Education and Awareness 13. AI in the Workplace 14. Global Perspectives on AI Ethics 15. Emerging Ethical Issues in AI 16. AI, Aesthetics and Cinema 17. Other topics related. FEES: * Professionals (posdoc, professor, tenure-track): € 160,00 * Students: (Master, PhD): € 110,00 Languages of the colloquium: English and Portuguese. SUBMISSIONS: * IMPORTANT: you should clearly state if you are submitting for the online segment (OS) (19-20 September) or the in-person segment (PS) (23-25 September). If (OS), you need to provide a preferred time schedule considering the Azores Time Zone (UTC - 1 hour). In-person submissions have a higher chance of being accepted (more slots available); * Proposals should include two files: (in word. format): (1) a cover page with identification, academic affiliation, and title (2) an anonymized title and abstract (maximum 250 words) and sent to interconfethicsofai(a)gmail.com * Paper duration: 30 minutes (20 minutes presentation + 10 minutes for discussion); * Information: in order to facilitate the request for funding of the accepted talks so speakers can prepare their travel in advance, notification of acceptance or rejection will be given in a 7-10 days period after the submission is submitted (and reviewed); * Papers presented at the colloquium are expected to be published in several projects (volumes, special issues, etc.) (this is optional - more information after the end of the conference); * Any doubts or concerns can be addressed to: interconfethicsofai(a)gmail.com Venue: University of Azores | Address: Rua da Mãe de Deus, 9500-321 Ponta Delgada, São Miguel, Açores. Organization: Mind, Language and Action Group | Institute of Philosophy | University of Porto Center for Humanistic Studies | University of the Azores Organizing Committee Steven S. Gouveia (Chair) Rui Sampaio da Silva (Local Organizer) Sofia Miguens Jaroslav Malík Romeu Ivolela Liberty Severs Support: CEEC Project by FCT 2022.02527.CEECIND TL Modern & Contemporary Philosophy RG Mind, Language and Action Group (MLAG) Instituto de Filosofia da Universidade do Porto – UIDB/00502/2020 Fundação para a Ciência e a Tecnologia (FCT) Reitoria da Universidade do Porto + Center for Humanistic Studies University of the Azores

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Ph.D. position in Theoretical and Applied Neuroscience - Deadline 29th July 2024.
by Eleonora Russo July 2, 2024

July 2, 2024

One Ph.D. position is available within the National Ph.D. Program in ‘Theoretical and Applied Neuroscience’. The Ph.D. will be held in the Brain Dynamics Lab<https://www.santannapisa.it/en/institute/biorobotics/brain-dynamics-laborat…> at the Biorobotics Institute of Sant'Anna School of Advanced Studies, Pisa (Italy) in collaboration with the Kelsch Group<http://www.synapticwiring.com/index.html> at the University Medical Center, Johannes Gutenberg University, Mainz (Germany). Information about the call can be found here<https://www.unicam.it/bandi/2024/bando-n0046958-del-28062024>. The deadline for applying to the position is at 13:00 on 29 July 2024. The project description can be found here<https://www.unicam.it/sites/default/files/bandi/2024/06/ANNEX%201_TAN_ciclo…> under ‘Code 4.2’. Project title: Functional modeling of brain dynamics: understanding reinforcement learning through the lens of dynamical systems. Keywords: neural coding, neuronal manifolds, modelling, dynamical system reconstruction, RNN, statistical mechanics, machine learning, reinforcement learning, dopamine. Host Institution: Sant'Anna School of Advanced Studies, BioRobotics Institute Reference person/supervisor: Russo Eleonora; eleonora.russo(a)santannapisa.it Research topic description Understanding the dynamical systems governing neuronal activity is crucial for unraveling how the brain performs cognitive functions. Historically, various forms of recurrent neural networks (RNNs) have been proposed as simplified models of the cortex. Recently, due to remarkable advancements in machine learning, RNNs' ability to capture temporal dependencies has been used to develop tools for approximating unknown dynamical systems by training them on observed time-series data. This approach allows us to use time series of electrophysiological multi-single unit recordings as well as whole brain ultra-high field functional imaging (fMRI) to parametrize neuronal population dynamics and build functional models of cognitive functions. The objective of this research project is to investigate the neuronal mechanisms underlying the reinforcement and depreciation of perceived stimuli in the extended network of the mouse forebrain regions. Research team and environment The PhD student will carry out his/her/their studies primarily at the BioRobotics Institute of Sant'Anna School of Advanced Studies. The project will expose the student to a highly international and interdisciplinary context, in tight collaboration with theoretical and experimental neuroscientists in Italy and abroad. At the BioRobotics Institute, the research groups involved will be the Brain Dynamics Lab, the Computational Neuroengineering Lab, and the Bioelectronics and Bioengineering Area. Moreover, the project will be carried out in tight collaboration with the experimental group of Prof. Wolfgang Kelsch, Johannes Gutenberg University, Mainz, Germany. During the PhD, the student will have the opportunity to spend a period abroad. Preferred Research Skills and Competences The ideal candidate has a strong interest in neuroscience and a background in physics/math/biomedical engineering with computational and programming skills (ideally, knowledge of Matlab and/or Python). The ideal candidate carries out his/her/their work in a diligent, independent, and highly collaborative manner. The project will not require any experimental work. Best wishes, Eleonora Russo --------------------------------------------------------------------------------------------------------------------- Eleonora Russo, Ph.D. PI of the Brain Dynamics Laboratory 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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12th rTAIM Online Seminar | Francesco Prinzi (Uni. Palermo) | 24 July 2024 - 2pm Lisbon Time Zone | Zoom
by steven gouveia July 2, 2024

July 2, 2024

Dear All, Following the 11th rTAIM Online Seminar (by Walter Sinnott-Armstrong, Duke University) available here: https://www.youtube.com/watch?v=iL8fYl-I0d8, we are happy to announce the final seminar of this academic year, the 12th rTAIM Online Seminar, with the participation of Professor Francesco Prinzi (University of Palermo, IT), 24th July 2024, 14h-15h30 Lisbon Time Zone, via Zoom. Title: From Theory to Practice: Overcoming Challenges in Implementing AI-Based CDSSs in Healthcare Abstract: In recent years, the adoption of computer-assisted tools employing Artificial Intelligence (AI) techniques has increased in several fields. These tools, which harness machine-learning and deep-learning architectures, have been pivotal in Medicine with the development of Clinical Decision Support Systems (CDSSs). CDSSs are designed to assist clinicians in critical healthcare processes, where understanding the decision-making process and ensuring system reliability are paramount. Despite the potential of data-driven AI, its application in medicine remains fraught with challenges, including the creation of high-performing yet non-interpretable CDSSs. Consequently, only a few CDSSs have transitioned from theoretical frameworks to clinical practice. Several factors hinder this transition: insufficient clinician involvement in data preparation, limited datasets, a lack of external validation, etc. The engagement of clinicians in model interpretation is crucial, as relying solely on accuracy metrics raises significant concerns about the models' validity. Regulatory agencies have responded by proposing frameworks and guidelines such as the GDPR and the AI Act to address concerns about applications of machine learning models. This presentation aims to elucidate these critical challenges and provide recommendations for implementing reliable CDSS. In particular, the discussion will focus on achieving explainability in AI models, highlighting the importance of transparent and interpretable results. The concept of Trustworthy AI is central to this integration, emphasizing that explainability, one of the key features in trustworthy AI, is essential for developers to technically validate results, for clinicians to align models with clinical literature, and for patients to understand the decisions. The presentation will cover methods to achieve explainability in both shallow and deep learning architectures, considering tabular and image inputs. Additionally, a new paradigm addressing the accuracy-explainability trade-off will be discussed, offering insights into future developments in this field. Short Bio: Francesco Prinzi received his Ph.D. in biomedicine, neuroscience and advanced diagnostics in 2023, University of Palermo. He is currently Assistant Professor at University of Palermo and affiliated with the Computer Laboratory of the University of Cambridge (UK). His research is focused on the development of diagnostic and predictive models through Machine Learning, Explainable Artificial Intelligence and Medical Imaging Analysis methods. Link: https://videoconf-colibri.zoom.us/j/93235662066?pwd=4JGunJeQskC2DOVbALXGu2P… ID Meeting: 932 3566 2066 Password: 761386 We are also happy to announce that the Call for Abstract for the 3rd International Conference on the Ethics of Artificial Intelligence that will happen in the São Miguel Islands in the Azores (Portugal), between 19-25 September 2024 (online and in-person), is OPEN for submissions (notifications of acceptance/rejectance) are given in 7-10 days). Pending peer review/editorial board acceptance, some of the papers accepted at the 3ICEAI will be selected for inclusion in the Palgrave Handbook of the Ethics of Artificial Intelligence, currently under development with Palgrave Macmillan. We will also have the ETHICS OF AI AWARD 2024 (in-person talks only): the best-submitted abstract will receive the opportunity to deliver a special Award Talk similar to a keynote talk (note: the selected author will have the fee waived). You can find the information related to the 3ICEAI here: https://trustaimedicine.weebly.com/3iceai.html Organizer

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Two postdoc positions in decision-making and learning at the University of Zurich, Switzerland
by mailinglists.4svr4＠simplelogin.com July 1, 2024

July 1, 2024

Postdoc in neuroscience of reward learning The successful candidate will work with Prof. Todd Hare and other SNS Lab researchers on the neuro-computational basis of human learning and decision making using cutting-edge neuroimaging techniques. For example, the successful candidate will work on a project aimed to determine if reward learning and corresponding striatal responses incorporate causal knowledge during Pavlovian conditioning. Using theoretically grounded and empirically verified reward learning predictions – blocking, conditioned inhibition, and overexpectation – we will test how Pavlovian conditioning operates over stimuli that are known to be either causal generators or correlated predicters of reward outcomes. Knowledge of the causal mechanisms should, in principle, determine how a reward learning agent summates predictions over two or more conditioned stimuli and whether a specific conditioned inhibitor will block a given causal state. We will test these hypotheses using modified versions of the standard conditioned inhibition and overexpectation paradigms together with functional neuroimaging. The results of these studies will provide important new insights into the fundamental nature of reward learning. They will reveal if Pavlovian conditioning mechanisms, which are generally thought to be model-free, incorporate model-based knowledge of cause-and-effect relationships in the environment or if instead they remain agnostic about causality and operate via predictiveness alone. https://jobs.uzh.ch/offene-stellen/postdoc-in-neuroscience-of-reward-learni… Postdoc in physiology of learning and decision making The successful candidate will work with Prof. Todd Hare and other SNS Lab researchers on projects testing the dynamic interplay between decision-making and attention, arousal, memory, emotion regulation and executive functions. These studies will make use of eye-tracking, pupil dilation, cardiac and respiratory data in combination with behavioral paradigms, validated questionnaires, and computational modeling. The use of neuroimaging data (EEG, fMRI), pharmacological manipulations, or brain stimulation is also possible. https://jobs.uzh.ch/offene-stellen/postdoc-in-physiology-of-learning-and-de…

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Postodoc Research Fellow Position at Birkbeck/UCL, London, UK
by Fabrizi, Lorenzo July 1, 2024

July 1, 2024

Dear all, Please see below for a postdoctoral position at the Centre for Brain and Cognitive Development, Birkbeck University of London with Prof. Emily Jones (with co-I’s Dr Lorenzo Fabrizi at University College London and Dr Judith Meek at University College London Hospital). Postdoctoral Researcher at Centre for Brain and Cognitive Development (1864) - Birkbeck, University of London<https://cis7.bbk.ac.uk/vacancy/postdoctoral-researcher-at-centre-for-brain-…> cis7.bbk.ac.uk<https://cis7.bbk.ac.uk/vacancy/postdoctoral-researcher-at-centre-for-brain-…> The project will be examining sensory processing in infants born prematurely and later trajectories of neurodevelopment, using a variety of neurocognitive methods. Infants were recruited as neonates and the postholder will be leading and conducting the follow up visits (when the infant is 18 months). The post would suit someone who is interested in infant development, neurodevelopmental conditions and has experience with infant/toddler EEG and eye tracking. Closing date: 24th July, online interviews: 26th July Lorenzo Fabrizi, PhD Associate Professor Medical Research Foundation Fellow Neuroscience, Physiology and Pharmacology Department Room G17A, Medawar Building Bloomsbury Campus University College London Gower St, London WC1E 6BT office tel. 02031081888 (int. 51888)

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Open PhD position at the University of Bern
by jeanpascal.pfister＠unibe.ch July 1, 2024

July 1, 2024

The Theoretical Neuroscience Group of the University of Bern is seeking applications for a PhD position, funded by a Swiss National Science Foundation grant titled “Why Spikes?”. This project aims at answering a nearly century-old question in Neuroscience: “What are spikes good for?”. Indeed, since the discovery of action potentials by Lord Adrian in 1926, it has remained largely unknown what the benefits of spiking neurons are, when compared to analog neurons. Traditionally, it has been argued that spikes are good for long-distance communication or for temporally precise computation. However, there is no systematic study that quantitatively compares the communication as well as the computational benefits of spiking neuron w.r.t analog neurons. The aim of the project is to systematically quantify the benefits of spiking at various levels by developing and analyzing appropriate mathematical models. The PhD student will be supervised by Prof. Jean-Pascal Pfister (Theoretical Neuroscience Group, Department of Physiology, University of Bern). The project will involve close collaborations within a highly motivated team as well as regular exchange of ideas with the other theory groups at the institute. The PhD candidates should hold a Master degree in Physics, Mathematics, Computer Science, Computational Neuroscience, Neuroscience or a related field. She/he should have keen interests in developing theories that can be tested experimentally. Preference will be given to candidates with strong mathematical and programming skills. Expertise in stochastic dynamical systems, point processes, control theory, information theory and nonlinear Bayesian filtering will be a plus. The applicant should submit a CV (including contacts of two referees), a statement of research interests, marks obtained for the Master, and the abstract of the Master thesis in electronic format to Jean-Pascal Pfister (jeanpascal.pfister(a)unibe.ch<mailto:jeanpascal.pfister@unibe.ch>) The position is offered for a period of three years and can be extended. Salary scale is provided by the Swiss National Science Foundation (http://www.snf.ch/SiteCollectionDocuments/allg_doktorierende_e.pdf) The application deadline is August 8, 2024, or until the position is filled. ---------------------------------- Prof. Jean-Pascal Pfister Theoretical Neuroscience Group Department of Physiology University of Bern Bühlplatz 5 3012 Bern, Switzerland https://physio.unibe.ch/~pfister/group/ Tel: ++ 41 31 631 87 78

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Postdoc in physics-based machine learning jointly with the MedTech industry
by Erik Fransén June 30, 2024

June 30, 2024

Postdoc in physics-based machine learning jointly with the MedTech industry Are you looking for a postdoc combining academic research in machine learning with close collaboration with the industry? Do you want to join our research group at KTH developing fundamental machine learning times series algorithms and the team at Getinge producing the next generation ventilators for the intensive care? Are you passionate about physical simulation and proficient in parameter estimation? If so, we believe you will find our project developing a digital twin of the respiratory system a perfect match. Find the ad and apply: https://kth.varbi.com/en/what:job/jobID:739922/ Best regards, Erik Fransén and Elira Maksuti

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Online Vocational Internship: Python programing and Hypothesis Testing
by PRANAV NERURKAR June 28, 2024

June 28, 2024

Dear all, Apologies for the cross posts. Please spread the word to interested colleagues. Greetings Hope you are doing well. We are launching an internship. Registration: https://internships.utkarshminds.com/ In summary this two months internship has: 1. Students will learning advanced data analysis and work on 25 projects 2. After completion they can get a internship completion certificate 3. They can add in their resume and increase chances of getting a job 4. Only a one time fee of Rs. 99 (USD 2/EURO 2) is taken from them *Description:* This internship is designed to equip you with the essential skills and knowledge to become an Applied Python Developer. You will learn how to write efficient Python code, work with data structures, handle file operations, and build real-world applications using Python. *Key Highlights:* 1. Learn to write efficient Python code 2. Master data structures and algorithms in Python 3. Build real-world applications with Python *What you will learn:* 1. Write Efficient Python Code 2. Learn best practices for writing clean, readable, and efficient Python code 3. Data Structures and Algorithms 4. Master essential data structures and algorithms in Python for effective problem solving 5. Build Real-world Applications 6. Apply your Python skills to build practical applications and projects Regards *Pranav A. NERURKAR* Specialist - AI & Data science UTKARSH MINDS +91 961-999-77-97 pranav.nerurkar@ <amandine.deplantes(a)igonogo.io>utkarshminds.com www.utkarshminds.com Nirmala Sadan, Jaya Nagar, Kasturba cross road no. 1, Mumbai - 400066

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Early bird registration CLOSING TOMORROW
by INCF June 27, 2024

June 27, 2024

Join us at the INCF Neuroinformatics Assembly 2024 <https://neuroinformatics.incf.org/> on Sep 23-25 at the University of Texas at Austin! Early bird registration <https://neuroinformatics.incf.org/register> closes tomorrow - register before end-of-day on Fri Jun 28 to get the early bird price! The INCF Assembly is a unique venue where neuroscience standards developers, infrastructure providers, and software developers have the opportunity to interact with the research community to share the latest advancements in neuroinformatics. The meeting is followed by 3 training courses: Driving collaboration in neurophysiology with NWB and DANDI, Introduction to reproducible neuroimaging data processing and analysis, and DataJoint pipelines for your neuroscience experiments on Sep 26-27. This year's theme Brain Meets AI: Pioneering the Future of Neuroinformatics Our keynote speakers are Elisabeth Bik (Microbiome Digest), Timo Dickscheid (Jülich Research Cente), Hanchuan Peng (SEU-ALLEN Joint Center), Danilo Bzdok (Mila - Quebec Artificial Intelligence Institute), and Viktor Jirsa (Institut de Neurosciences des Systemès). See you at Assembly 2024! /The INCF Team

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Advanced Neural Data Analysis and Neuroinformatics School (ANDA-NI) - Apply by July 31, 2024!
by Michael Denker June 27, 2024

June 27, 2024

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Deadline approaching - Bernstein Conference 2024
by Alexander Lammers June 27, 2024

June 27, 2024

The deadline for the submission of poster abstracts for the Bernstein Conference 2024 is approaching! Abstract submission: https://bernstein-network.de/bernstein-conference/abstract-submission/<https://bernstein-network.de/bernstein-conference/registration/> ____ Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries. Conference website: https://bernstein-network.de/bernstein-conference/ ____ IMPORTANT DATES * Poster abstract submission deadline: Jul 10, 2024 (15:00 CEST) * Early registration deadline: Jul 31, 2024 (23:59 CEST) * Late registration deadline: Sep 11, 2024 (23:59 CEST) * Bernstein Conference: Sep 29 – Oct 2, 2024 ____ INVITED SPEAKERS Dmitriy Aronov (Columbia University, USA) Helen Barron (University of Oxford, UK) Elizabeth Buffalo (University of Washington, USA) Alex Cayco Gajic (Ecole Normale Supérieure, France) Jan Drugowitsch (Harvard University, USA) Jakob Macke (University of Tübingen, Germany) Tirin Moore (Stanford University, USA) Mala Murthy (Princeton University, USA) Memming Park (Champalimaud Foundation, Portugal) Susanne Schreiber (Humboldt Universität zu Berlin, Germany) Xiao-Jing Wang (New York University, USA) ____ CONFERENCE COMMITTEE Matthias Kaschube (Conference Chair) Srdjan Ostojic (Program Chair) Tatiana Engel (Program Vice Chair) Maria Eckstein (Workshop Chair) Wiktor Młynarski (Workshop Vice Chair) & Athena Akrami, Mehrdad Jazayeri, Jennifer Li, Scott Linderman, Ashok Litwin-Kumar, Ida Momennejad, Christina Savin, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de<mailto:bernstein.conference@fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Karsten Beneke (stellv. Vorsitzender), Prof. Dr. Ir. Pieter Jansens ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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2024 Brain-Score Benchmarking Competition -- Deadline coming up
by Martin Schrimpf June 27, 2024

June 27, 2024

[Image] The Brain-Score Benchmarking Competition<https://www.brain-score.org/competition/> aims to find behavioral and neural benchmarks on which the predictions of our current top models break down. We are entering the final week of the 2024 competition - please submit your benchmarks to highlight the flaws in current state-of-the-art models of vision (and win prizes)! In 2022, the first Brain-Score Competition led to new and improved models of primate vision that predicted existing benchmarks reasonably well. In this year's Brain-Score Competition 2024, we are closing the loop on testing model predictions by rewarding those benchmarks that show where models are the least aligned to the primate visual ventral stream. The Competition is open to the scientific community and we provide an infrastructure to evaluate a variety of models on new behavioral and neural benchmarks in a standardized and unified manner. In addition, we will incentivize benchmark submissions by providing visibility to participants and a $10,000 prize pool<https://www.brain-score.org/competition/#tracks> to the winning benchmarks. Submissions<https://www.brain-score.org/profile/vision/> are open until June 30, 2024. For regular updates related to the competition, please follow Brain-Score on Twitter<https://twitter.com/brain_score> and join our community<https://www.brain-score.org/community>. Good Luck! Competition Tracks * Behavioral: This track will reward those benchmarks that show-case model short-comings in predicting behavior (human or non-human primate). The winning submissions will be the behavioral benchmarks with the lowest model scores, mean-averaged over all models, i.e. as close as possible to 0. The benchmarks can target any behavioral task that the models engage on (labeling, class probabilities, odd-one-out ; see the model interface<https://brain-score.readthedocs.io/en/latest/modules/model_interface.html#b…>). 1st prize: $3,000; 2nd prize: $2,000. * Neural: This track will reward those benchmarks that show-case model short-comings in predicting neural activity across the primate visual ventral stream. The winning submissions will be the neural benchmarks with the lowest model scores, mean-averaged over all models, i.e. as close as possible to 0. The benchmarks can target any region(s) in the visual ventral stream: V1, V2, V4, IT (see the model interface<https://brain-score.readthedocs.io/en/latest/modules/model_interface.html#b…>). Brain recordings can be from human or non-human primates. 1st prize: $3,000; 2nd prize: $2,000.

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PhD position in Computational Neuroscience, TU Berlin, Germany
by Klaus Obermayer June 27, 2024

June 27, 2024

Dear moderator, can you post the job announcement below? Thank you very much! Best regards Klaus Obermayer ----------------------------------------------------------------------------------------------------------- *Neural Information Processing Group @ Technische Universität Berlin* *PhD Position in Computational Neuroscience (salary grade E13 TV-L 100%)* *Modelling Neural Population Dynamics and the Effects of External Stimulation* *Faculty IV - Institute of Software Engineering and Theoretical Computer Science / Neural Information Processing Group* *Earliest starting date: *Sept. 1st, 2024 *Period:*5 years *Application Deadline: *July 26, 2024 *Reference number: *IV-307/24** *Working field: *Participation in the projects of the our research group in the field of computational neuroscience on modelling neural dynamics and the effects of external stimulation; collaboration with theoretical, experimental, and clinical research groups of the CRC 1315 (https://www.sfb1315.de/) and the Bernstein Center for Computational Neuroscience Berlin (https://www.bccn-berlin.de/) assistance in the maintenance of the computer infrastructure of the research group; teaching tutorials for introductory courses in programming and algorithms & architectures for non-CS students. For information about our research group see https://www.tu.berlin/en/ni. *Requirements: *Successfully completed university degree (Master, Diplom, or equivalent) in Computational Neuroscience, Computer Science, Electrical Engineering, Mathematics, Physics, or related fields; in-depth knowledge in nonlinear dynamics; a very good command of the English and German languages; the ability to teach in German; very good programming skills. Experience in modelling neural systems and teaching experience are desirable. Please send your application with the usual documents (including CV, transcripts of records, German language certificate for non-native speakers) exclusively by e-mail to Prof. Dr. Klaus Obermayer at *klaus.obermayer(a)tu-berlin.de*.

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Fully funded PhD position in Lifelong Machine Learning at Loughborough University
by Andrea Soltoggio June 26, 2024

June 26, 2024

Dear All, A fully funded PhD position is available in my research group at Loughborough University on the topic "Lifelong learning and shareable models: How to reduce the energy footprint of AI and contribute to a sustainable decarbonised future". Please find further details at https://www.lboro.ac.uk/study/postgraduate/research-degrees/phd-opportuniti… Application deadline: 19th July 2024 This project will further extend research directions highlighted in our recent paper "A collective AI via lifelong learning and sharing at the edge" Nature Machine Intelligence, March 2024, available at : https://rdcu.be/dB9zt Requirements: Applicant should have, or expect to achieve, a first-class honours (or international equivalent) in computer science or related subjects. Applicants must meet the minimum English language requirements ( International website<http://www.lboro.ac.uk/international/applicants/english/>) Project details: Current AI models are not designed to reuse and share knowledge. When conditions change, e.g., data distributions, locations, or platforms, retraining needs to occur from scratch. In some cases, like for foundation models or for complex robotics tasks, the process requires very large amount of data and energy. Recent advances towards lifelong learning and sharable models promise to create a new efficient AI landscape in which machine-learned knowledge can be built incrementally and worldwide with optimized energy use. This PhD project aims to advance the latest lifelong learning and sharable AI models to contribute to reduce the energy footprint of AI. An overview of this emerging field can be found in a recent publication from our group on Nature Machine Intelligence https://doi.org/10.1038/s42256-024-00800-2 The student will be part of a growing group of researchers in machine learning and artificial intelligence in the Computer Science Department with collaborators from Loughborough Business School. Learn more about Digital Decarbonisation<https://www.lboro.ac.uk/schools/business-school/digital-decarbonisation/>. The project is in collaboration with the co-supervision of Dr. Vitor Castro, Dr. Rebecca Higginson and Prof. Tom Jackson. Best regards, Andrea Soltoggio -- Dr. Andrea Soltoggio (he/him or they/them) Senior Lecturer (Associate Professor) in Artificial Intelligence Department of Computer Science, School of Science & Intelligent Automation Centre https://www.intelligent-automation.org.uk/about-us/centre-staff & Centre for Information Management https://www.lboro.ac.uk/departments/sbe/cim/ Haslegrave Building, N.2.03 Loughborough University LE11 3TU, UK Email: a.soltoggio(a)lboro.ac.uk<mailto:a.soltoggio@lboro.ac.uk> Web: http://www.lboro.ac.uk/departments/compsci/staff/dr-andrea-soltoggio.html

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11th rTAIM Online Seminar | Walter Sinnott-Armstrong (Duke Uni.) | 26 June 2024 - 3pm Lisbon Time Zone | Zoom
by steven gouveia June 26, 2024

June 26, 2024

Dear All, Following the 10th rTAIM Online Seminar (available here: https://www.youtube.com/watch?v=ZsRMi76gv9c) we are happy to announce the 11th rTAIM Online Seminar with the participation of Professor Walter Sinnott-Armstrong (Duke University, USA), on the 26th June 2024, 15h-16h30 Lisbon Time Zone, via Zoom. Title: The Moral AI and How We Get There Abstract: Artificial intelligence (AI) is beginning to be used for many life-changing decisions in medicine. Critics object that using AI in these areas is too likely to lead to harm, unfairness, and other moral wrongs. In response, I will argue that these decisions can be made safer and more ethical by building human moral values into the AI decisionmaker. But how can we do that? I will discuss problems for some proposed ways to build morality into AI from the top down and from the bottom up. Then I will explain our lab’s novel hybrid alternative, which surveys human moral judgments and then corrects for ignorance, confusion, and partiality. Because our approach is based on idealized observer theories in ethics, it minimizes substantive assumptions about what is morally right or wrong, and it can be used in a wide variety of contexts. I will report initial empirical results using our method and discuss potential applications to kidney allocation and dementia. Short bio: Walter Sinnott-Armstrong is Chauncey Stillman Professor of Practical Ethics in the Department of Philosophy and the Kenan Institute for Ethics at Duke University. His most recent book is Moral AI and How We Can Get There, with Jana Schaich Borg and Vincent Conitzer in 2024. Zoom: Link: https://videoconf-colibri.zoom.us/j/98415196784?pwd=a3dHbmF4VzlTaVczWTB6QzV… Meeting ID: 984 1519 6784 Passcode: 765321 More info: https://trustaimedicine.weebly.com/<https://trustaimedicine.weebly.com/rtaim-seminars.html>rtaim<https://trustaimedicine.weebly.com/rtaim-seminars.html>-seminars.html<https://trustaimedicine.weebly.com/rtaim-seminars.html> We are also happy to announce that the Call for Abstract for the 3rd International Conference on the Ethics of Artificial Intelligence that will happen in the São Miguel Islands in the Azores (Portugal), between 19-25 September 2024 (online and in-person), is OPEN for submissions (notifications of acceptance/rejectance) are given in 7-10 days). You can find the information related to the 3ICEAI here: https://trustaimedicine.weebly.com/3iceai.html Sincerely, Organizer

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REMINDER: World wide VVTNS series: Wednesday, June 26 at 11am (EDT), Eve Marder Brandeis University | Cryptic (hidden) changes that result from perturbations and climate change shape future dynamics of degenerate neurons and circuits
by David Hansel June 25, 2024

June 25, 2024

[image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns@TheoreticalWide You are cordially invited to the VVTNS fourth season final lecture given by Eve Marder Brandeis University on the topic of Cryptic (hidden) changes that result from perturbations and climate change shape future dynamics of degenerate neurons and circuits The lecture will be held on zoom on *June 26, 2024*, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: *A fundamental problem in neuroscience is understanding how the properties of individual neurons and synapses contribute to neuronal circuit dynamics and behavior. In recent years we have done both computational and experimental studies that demonstrate that the same physiological output can arise from multiple, degenerate solutions, and that individual animals with similar behavior can nonetheless have quite different sets of underlying circuit parameters. Most recently, we have been studying the resilience of individual animals to perturbations such as temperature and high potassium concentrations. This has revealed that extreme environmental experiences can produce long-term changes in circuit performance that can be hidden, or “cryptic” unless the animals are again challenged or perturbed. Our present experimental and computational work is designed to understand differential resilience in natural, wild-caught animals in response to climate change, and shows long-lasting influences of the animals’ temperature history. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. 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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CNS-2024 Workshop on “Neuronal Oscillations: From Mechanisms to Computation”: Information and call for spontaneous presentations by members of the community
by Rotstein, Horacio G June 24, 2024

June 24, 2024

CNS-2024 Workshop on “Neuronal Oscillations: From Mechanisms to Computation” Information and call for spontaneous presentations by members of the community The 2024 Annual Computational Neuroscience Meeting ( https://www.cnsorg.org/cns-2024; CNS-2024) will be in Natal, Brazil, July 20-24. The last two days of the meeting are devoted to workshops organized by members of the community. As in previous years, we are organizing a workshop on “Oscillations: from mechanisms to computations”. The workshop is scheduled for July 24. The primary purpose of this workshop is to bring together modelers, experimentalists, and theorists with the goal of sharing and discussing their current results and ideas on the underlying mechanisms that govern the generation of these rhythms at various levels of organization, and their functional implications. Following the tradition of this workshop - We have reserved slots for members of the community whom we might not have been aware of their interest in actively participating in the workshop, particularly the more junior members of the community - We are calling for spontaneous five minutes long data blitz where interested students and postdocs can briefly present their work and contribute to the discussion - We will allow for ample time for discussion by keeping the talks relatively brief. We would like to conclude by having an open discussion on 1. The role of oscillations for neural computation 2. The opportunity that presents to the community to apply the insights from oscillatory dynamics in the brain to the design of artificial neural networks (ANNs). If time becomes an issue, we will have this discussion after the regular workshop schedule to allow for a larger group of participants. We will do our best to accommodate people who are interested in being part of the workshop and/or contribute to the discussion on the topics i and ii listed above. Please, contact us. Best regards, Horacio -- -- Horacio, NY/NJ area. "Az di bobe volt gehat beytsim volt zi geven mayn zeide" (Yiddish expression) Horacio G. Rotstein, PhD (he/they) Professor Mathematical Biology & Computational Neuroscience BioDatanamics Lab Federated Department of Biological Sciences Rutgers University / New Jersey Institute of Technology Newark, NJ, 07102, USA. Graduate Faculty Behavioral Neurosciences Program Rutgers University (NWK) tel: (1-973) 596-8460 e-mail: horacio(a)njit.edu horacior(a)andromeda.rutgers.edu <horacio(a)njit.edu> http://web.njit.edu/~horacio

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PhD and post-doc at University College Dublin
by Áine Byrne June 24, 2024

June 24, 2024

Bridging the gap for mathematical models of gap junctions PhD and post-doctoral positions available with Dr Áine Byrne (https://people.ucd.ie/aine.byrne) in the School of Mathematics and Statistics at University College Dublin’s . This project seeks to develop novel mathematical models of gap junction modulation in the brain. Gap junctions promote the synchronous activation of neurons, a signature of epileptic seizures. Using a combination of mathematical models and electrophysiological experiments, we will investigate the interplay between gap junction coupling and neuronal synchronisation. Particular attention will be paid to how gap junction coupling varies in response to changes in the surrounding environment. This newfound understanding will be exploited to understand the emergence of excessive neuronal synchronisation in epilepsy and identify novel treatments. Experiments will be carried out at Trinity College Dublin under the guidance of collaborator Prof Mark Cunningham (https://www.cunninghamlab.org/) who will provide training and the use of his facilities. PhD student A 4-year fully funded position is available from September 1st, 2024. Funding includes a stipend of €22,000 per year and a travel allowance of €1,500 per year (years 2-4). Candidates should have a strong mathematical background, programming skills (Python, LaTeX, C++, Linux), an excellent command of the English language, good communication skills, and a passion for interdisciplinary projects. A MSc in mathematics, physics, computer science or a related field is desirable, but candidates with an excellent undergraduate degree (first class honours) may also apply. Applications, including a personal statement, CV, and contact details for two referees should be sent to Áine Byrne (aine.byrne(a)ucd.ie <mailto:aine.byrne@ucd.ie>). The deadline for applications is July 15, 2024, however, later applications may also be considered. Post-doctoral positions We are currently accepting expressions of interest for a 3-year position (start date: January 1st, 2025). Candidates should have a PhD in applied mathematics, physics, computer science, neuroscience, cognitive science or a related field. Mathematical or computational modelling experience is required, while experimental experience is desirable (but not essential). Candidates should also have strong programming skills (Python, LaTeX, XPPAUTO, C++, Linux), an excellent command of the English language, good communication skills, and a passion for interdisciplinary projects Expressions of interest, including a short description of your previous experience and motivation for working on this project, should be sent to Áine Byrne (aine.byrne(a)ucd.ie <mailto:aine.byrne@ucd.ie>). A formal application procedure will follow in the coming months.

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Reminder: Call for contribution and registration for Systems Vision Science Virtual Symposium July 12, 2024
by Pavlovic, Maria June 24, 2024

June 24, 2024

Systems Vision Science Virtual Symposium: July 12th, 2024 -------------------------------- <https://summerschool.lizhaoping.org/symposium-2024/> Systems Vision Science Virtual Symposium takes place on July 12th, 2024, 15:00-19:00 German time, as the end of the <https://summerschool.lizhaoping.org/virtual-systems-vision-science-summer-s chool-symposium-2024/> Systems Vision Science Virtual Summer School. This summer school and symposium are the virtual editions of the onsite <https://summerschool.lizhaoping.org/> summer school and symposium in 2023. We invite contribution and free registration for this symposium. -------------------------------- The presentations at the symposium will include two keynote speeches (30 minutes each): Keynote Speech 1: "Feedback processing in human visual cortex" by Sheng He <https://www.neuroscience.umn.edu/faculty/current-faculty/g-h/sheng-he-phd> , University of Minnesota and Chinese Academy of Science, Institute of Biophysics Keynote Speech 2: "Processing partially occluded objects in the primate brain" by Anitha Pasupathy <https://sites.uw.edu/biostr/people/faculty/anitha-pasupathy/> , University of Washington, Department of Biological Structure and contributed speeches (15 minutes each). The topics of the presentations will be any topic of <https://www.lizhaoping.org/Systems-Vision-Science.html> Systems Vision Science, which combines computational, behavioral, and neuroscience methods to discover and investigate functions and algorithms for vision in various brain regions and their implementations in neural circuits. -------------------------------- To contribute or register, please fill out our registration form (including an abstract for contribution), which can be found here: <https://summerschool.lizhaoping.org/wp-content/uploads/2024/06/Form-to-regi ster-or-submit-a-contribution-to-the-SVS-symposium-2024.docx> https://summerschool.lizhaoping.org/Form-to-register-or-submit-a-contributio n-to-the-SVS-symposium-2024.docx and send the filled form to svs.summerschool(a)tue.mpg.de <mailto:svs.summerschool@tue.mpg.de> Please direct inquiries to svs.summerschool(a)tue.mpg.de <mailto:svs.summerschool@tue.mpg.de> . -------------------------------- Organizing Team Li Zhaoping Maria Pavlovic Junhao Liang Ali Gholamzadeh Max Planck Institute for Biological Cybernetics University of Tuebingen www.lizhaoping.org <http://www.lizhaoping.org>

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World wide VVTNS series: Wednesday, June 26 at 11am (EDT), Eve Marder Brandeis University | Cryptic (hidden) changes that result from perturbations and climate change shape future dynamics of degenerate neurons and circuits
by David Hansel June 24, 2024

June 24, 2024

[image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns@TheoreticalWide You are cordially invited to the VVTNS fourth season final lecture given by Eve Marder Brandeis University on the topic of Cryptic (hidden) changes that result from perturbations and climate change shape future dynamics of degenerate neurons and circuits The lecture will be held on zoom on *June 26, 2024*, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: *A fundamental problem in neuroscience is understanding how the properties of individual neurons and synapses contribute to neuronal circuit dynamics and behavior. In recent years we have done both computational and experimental studies that demonstrate that the same physiological output can arise from multiple, degenerate solutions, and that individual animals with similar behavior can nonetheless have quite different sets of underlying circuit parameters. Most recently, we have been studying the resilience of individual animals to perturbations such as temperature and high potassium concentrations. This has revealed that extreme environmental experiences can produce long-term changes in circuit performance that can be hidden, or “cryptic” unless the animals are again challenged or perturbed. Our present experimental and computational work is designed to understand differential resilience in natural, wild-caught animals in response to climate change, and shows long-lasting influences of the animals’ temperature history. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. 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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Call for Papers - International Conference on Gender and Technology 2025
by Shyam Diwakar June 22, 2024

June 22, 2024

Dear All, We are very happy to announce that the "International Conference on Gender and Technology 2025<https://www.amrita.edu/events/gender-technology-conference-2025>" will be held at Amrita University in Kerala, India, from January 16 to 19, 2025, and invite all to submit research papers for the conference. This flagship event is organized by Amrita University, in collaboration with UNESCO. IEEE Society on Social Implications of Technology (SSIT) and IEEE Kerala Section are technical co-sponsors for the conference. Submit your paper here<https://bit.ly/ICGT25> Conference website<https://www.amrita.edu/events/gender-technology-conference-2025> Through peer-reviewed paper publications and presentations, keynote sessions, panel discussions, and a GenAI x Gender Tech hackathon, the conference aims to be a catalyst for change. We will inform, encourage, and celebrate technology designed with inclusion in mind, with a particular focus on women's empowerment. We will explore how women can lead the charge in creating technology that not only transforms their lives but also creates positive outcomes for all. We will bring together diverse stakeholders, including UN agencies, Government representatives, academicians, experts, policymakers, civil society, industry, gender financing institutions, senior and early researchers, and students, to facilitate an intergenerational and interdisciplinary dialogue. Conference activities will also include a poster session, a concluding awards ceremony for best conference papers, posters, and hackathon teams, a gala dinner and cultural performances. ***************************** TOPICS ***************************** The conference will focus on (but is not limited to) the below core thematic areas, through the lens of gender and emerging technologies such as AI, blockchain, AR/VR, Robotics, Neuroscience, etc. For more details on each theme below, please visit our conference website<https://www.amrita.edu/events/gender-technology-conference-2025>. 1. Gender, Society, and Representation in Emerging Technologies 2. Climate Change, Environment, and Gender 3. Gender, Livelihood, and the Future of Work 4. Women’s Health and Sanitation in the Digital Age 5. Safety and Security: Gendered Perspectives on New Technologies 6. Gender, Education, and Cultural Shifts through Technology 7. Socio-cultural Change, Access to Technology, and Gender Equity Politics 8. Building Inclusive Resilience to Disaster and Climate Change 9. Inclusive Technology Design for Social Good 10. Ethics, Data Science, and Social Problem Solving 11. Emerging Technologies: Opportunities and Vulnerabilities 12. Gender and Finance: Technological Innovations for Financial Inclusion ***************************** IMPORTANT DATES: ***************************** Paper Submission Deadline: August 30, 2024 Notification of Acceptance: October 15, 2024 Final Camera-ready Paper: November 15, 2024 Registration Deadline: December 15, 2024 ***************************** SUBMISSION GUIDELINES ***************************** Full Papers for Publication and Presentation (up to 6 pages in length, including the full reference section): Mature results, tested innovations, or completed projects. Poster Presentation (1–2 page summary/abstract): Discussion of fieldwork in progress (with insufficient results for a full paper) that addresses intention, unexpected challenges, unintended outcomes, successes, and failures. All papers must adhere to the IEEE Standard two-column conference format on A4 size paper in English. Use IEEE conference templates in Word or LaTeX to prepare your manuscript. The use of artificial intelligence (AI)–)-generated text in an article shall be disclosed in the acknowledgments section of any paper submitted. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text. All submitted articles should report original, previously unpublished research results, experimental or theoretical. Articles submitted to the conference should meet these criteria and must not be under consideration for publication elsewhere. Any act of plagiarism will result in immediate rejection of the paper. Papers for publication must be submitted in full paper electronically via EDAS Submission System. Accepted papers presented by an original author or co-author will be published in the Conference Proceedings, and submitted for inclusion in IEEE Xplore and scopus indexing, subject to meeting IEEE Xplore’s scope and quality requirements. Posters will be published as an addendum to the conference proceedings and will not be submitted to IEEE Xplore or for scopus indexing. Join us at the 2025 International Conference on Gender and Technology to contribute to a dynamic exchange of ideas and insights shaping the future of technology through a gender lens. We look forward to your submissions and to welcoming you to Kerala, India, for the event. For inquiries, please contact: gendertechpublications(a)am.amrita.edu<mailto:gendertechpublications@am.amrita.edu> Submission can be sent at https://bit.ly/ICGT25 ***************************** CONTACT ***************************** E-mail (for general inquiries): gendertechconference(a)am.amrita.edu<mailto:gendertechconference@am.amrita.edu> E-mail (for paper submission inquiries): gendertechpublications(a)am.amrita.edu<mailto:gendertechpublications@am.amrita.edu> Website: https://www.amrita.edu/events/gender-technology-conference-2025 -- Prof. Shyam Diwakar, Ph.D. Director - Amrita Mind Brain Center Faculty Fellow - Amrita Center for International Programs Amrita Vishwa Vidyapeetham (Amrita University) Amritapuri, Clappana P.O. Kollam, India. Pin: 690525 Ph:+91-476-2803501 Fax:+91-476-2899722 http://amrita.edu/mindbrain [https://ci3.googleusercontent.com/mail-sig/AIorK4y0J3snkg8ODMTKoZbKJ51foHfW…] [https://intranet.cb.amrita.edu/sig/RankingLogo.png] Disclaimer<https://intranet.cb.amrita.edu/sig/Disclaimer.htm>

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Mathematics of Neuroscience and AI Conference talks uploaded to YouTube
by Battleday, Ruairidh June 21, 2024

June 21, 2024

Dear all, The talks are now uploaded from our Convention on the Mathematics of Neuroscience and AI last month in Rome (www.neuromonster.org) Twitter link: https://x.com/RMBattleday/status/1802616511879696649 YouTube: https://youtube.com/playlist?list=PLA59nMLAkDyiyYoISlQDDnMY4pxKmTsBC&si=OyY… LinkedIn: https://www.linkedin.com/posts/ruairidh-battleday-648a2b65_talks-now-upload… Thanks to everyone that came and contributed, and made it such a blast! All the best, Ruairidh -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking, Inc <https://thinkingaboutthinking.org> Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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Become a member of the International Society for Tractography (IST)
by Maxime Descoteaux June 21, 2024

June 21, 2024

** *We are thrilled to officially announce the launch of the International Society for Tractography (IST) <http://www.tractography.io>. Our goal is to facilitate fundamental advances in the field of tractography that are only possible via an interactive community dedicated to sharing a broad range of talent and knowledge. This includes planning engaging events such as webinars, educational workshops, and conferences, as well as promoting large-scale collaborations across institutions and international borders. * * It’s now time to sign up and become a member <http://www.tractography.io/become_a_member/>. The first year (July 1st 2024 - June 30th 2025), membership will be free! Exciting things to watch out for: * Our new website [www.tractography.io <http://www.tractography.io>] * IST is on X <https://x.com/tractography>[@tractography] and LinkedIn <https://www.linkedin.com/company/international-society-for-tractography/> * TheTract-Anat Club <http://www.tractography.io/tractanat_club/>with recordings posted on our YouTube channel <https://www.youtube.com/@SocietyTractography>. * A dedicated collection "Neuroanatomy and Tractography" in Brain and Structure Function <https://link.springer.com/collections/jfccijhacc> * And more to come (2025 conference in Bordeaux, France) Looking forward to interacting! On behalf of the board of directors and scientific committee Maxime Descoteaux, Flavio Dell’Acqua, Kathleen Rockland, Catherine Lebel, Derek Jones, Lauren O’Donnell, Ariel Rokem, Pratik Mukherjee, Shawna Farquharson, Alexander Leemans, Graham Little, and Laurent Petit *

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Call for Papers: Machine Learning Algorithms for Brain Imaging
by Shailesh Appukuttan June 20, 2024

June 20, 2024

Dear colleagues, We invite researchers, neuroscientists, and machine learning experts to contribute to our Research Topic "*Machine Learning Algorithms for Brain Imaging: New Frontiers in Neurodiagnostics and Treatment*". Accepted articles will be published in the journal Frontiers in Neuroinformatics. https://www.frontiersin.org/research-topics/62418/machine-learning-algorith… *Submissions now open! * Manuscript Submission Deadline: 15 September 2024 Feel free to contact me for further info. This Frontiers Research Topic focuses on, but not limited to, the following themes: - Development and validation of novel machine learning algorithms for brain image analysis. - Deep learning techniques for brain image segmentation, classification, and feature extraction. - Predictive modeling and prognostication using machine learning to guide neurotherapeutic decisions. - Transfer learning and domain adaptation approaches in neuroimaging analysis. - Explainable AI and interpretable machine learning methods for transparent and trustworthy brain image interpretation. - Integration of multimodal imaging data (e.g., MRI, fMRI, PET) through innovative machine learning strategies. - Evaluation and benchmarking of machine learning algorithms in neuroimaging. - Current challenges, future directions, and ethical considerations in the application of machine learning algorithms in brain imaging. We welcome original research articles, comprehensive reviews, and perspectives that contribute to the field of machine-learning algorithms for brain imaging. Manuscripts should present novel methodologies, rigorous validation, and practical applications. Cheers, Shailesh Appukuttan Shailesh APPUKUTTAN *RECHERCHE > INT* Aix-Marseille Université - Campus Timone, INT NEUROSCIENCES,27 Boulevard Jean Moulin, Marseille, 13005 Site : https://shailesh-appukuttan.com/ - Email : shailesh.APPUKUTTAN(a)univ-amu.fr *Afin de respecter l'environnement, merci de n'imprimer cet email que si nécessaire.*

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Submit Your Research for COMPLEX NETWORKS 2024 in Istanbul!
by Hocine Cherifi June 20, 2024

June 20, 2024

13 *th **International Conference on Complex Networks & Their Applications* Istanbul, Turkey December 10 - 12, 2024 COMPLEX NETWORKS 2024 <https://complexnetworks.org/> You are cordially invited to submit your contribution until *September 03, 2024*. *----------------------------------------------------------------------------------------------------------------------------------------------* *KEYNOTE SPEAKERS* · Federico Battiston <https://people.ceu.edu/federico_battiston> Central European University, Austria · Tina Eliassi-Rad <https://www.khoury.northeastern.edu/people/tina-eliassi-rad/> Northeastern University, USA · Frank Emmert-Streib <https://www.tuni.fi/en/frank-emmert-streib> Tampere University, Finland · Filippo Menczer <https://cnets.indiana.edu/fil/> Indiana University, USA · Luciano Pietronero <http://www.lucianopietronero.it/> University of Rome, Italy *----------------------------------------------------------------------------------------------------------------------------------------------* *TUTORIALS (December 09, 2024)* · Alessandro Galeazzi <https://scholar.google.com/citations?user=DK0tXAIAAAAJ&hl=en> University of Padova, Italy · Clara Stegehuis <https://www.clarastegehuis.nl/> Twente University, The Netherlands *----------------------------------------------------------------------------------------------------------------------------------------------* *CONTRIBUTIONS* *Full papers: *not previously published up to 12 pages · *Papers *will be included in the conference *proceedings edited by Springer* *Extended Abstracts*: about published or unpublished research up to 4 pages . · *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* · *https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/* <https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/> *----------------------------------------------------------------------------------------------------------------------------------------------* *JOURNAL SPECIAL ISSUES* *Extended versions of accepted contributions will be invited for publication in special issues of :* o PLOS Complex Systems <https://journals.plos.org/complexsystems/> edited by PLOS <https://plos.org/>. o PLOS <https://journals.plos.org/plosone/> One <https://journals.plos.org/plosone/> edited by PLOS <https://plos.org/> o Applied Network Science <https://appliednetsci.springeropen.com/> edited by Springer Nature <https://www.springernature.com/gp> o Social Network Analysis and Mining <https://link.springer.com/journal/13278> edited by Springer Nature <https://www.springernature.com/gp> o Computational & Mathematical organization <https://link.springer.com/journal/10588> edited by Springer Nature <https://www.springernature.com/gp> o Advances in Complex Systems <https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific <https://www.worldscientific.com/> o Complex Systems Journal <https://www.complex-systems.com/> *Invitation Notification: December 18,2024* *Submission Deadline: February 28,2025* *----------------------------------------------------------------------------------------------------------------------------------------------* *SUBMISSION* *Refer to **https://complexnetworks.org/submission/* <https://complexnetworks.org/submission/> *----------------------------------------------------------------------------------------------------------------------------------------------* *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *-----------------------------------------------------------------------------------------------------------------------------------------* For further information and inquiries, please contact us at info(a)complexnetworks.org Join us at COMPLEX NETWORKS 2024 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

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Postdoc position available
by Goodhill, Geoffrey June 17, 2024

June 17, 2024

POSTDOC POSITION IN DECODING AUTISM SPECTRUM DISORDERS FROM MOVEMENT A postdoc position is available in the lab of Geoff Goodhill at Washington University in St Louis for an NIH-funded project to help improve early diagnosis of ASD by using cutting-edge tools from machine learning and computational ethology. PROJECT. Motor differences are one of the earliest markers of increased ASD likelihood in infancy. Our goal is to develop broadly-applicable diagnostic tools which combine automated extraction of kinematic features from video data with new machine learning techniques to capture ASD motor function variability. As a first step, we are applying cutting-edge developments in computer vision, machine learning and computational ethology to a rich, longitudinal video dataset of infants being screened for ASD. APPLICANT PROFILE. The ideal applicant would have a strong background in all of ASD, human movement, machine learning and computational ethology. However given the rarity of this combination we are happy to consider candidates with only some of this background, but a strong desire to learn about the other elements. LAB ENVIRONMENT. The Goodhill lab is an interdisciplinary environment of students and postdocs from a diverse array of backgrounds including neuroscience, mathematics, physics and engineering, working together on understanding neural circuit computation, particularly relating to neural development. UNIVERSITY ENVIRONMENT. Washington University in St Louis is ranked in the top 10 institutions globally for Neuroscience and Behavior, and offers an outstanding intellectual environment for research in neuroscience. The Goodhill lab has recently moved into Washington University's new start-of-the-art 600,000 sq ft Neuroscience Research Building (https://neuroscience.wustl.edu/research/neuroscience-building) For more information about St Louis see https://explorestlouis.com. To apply please send a CV and detailed cover letter explaining why you are interested in this position to g.goodhill(a)wustl.edu. Review of applications will continue until the position is filled. Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 660 S. Euclid Avenue St. Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

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[Courses] Cours en ligne en anglais : Test d'hypothèse à deux échantillons (Online Training and Internship: Two Sample Hypothesis Testing)
by PRANAV NERURKAR June 17, 2024

June 17, 2024

(Apologies for cross posting) Salutations de l'Institut Utkarsh Minds. Nous sommes heureux d'annoncer que l'Institut Utkarsh Minds organise un programme de stage de deux mois sur Python pour le test d'hypothèses statistiques. 🎯 Dates : du 1er juillet au 31 août 2024 🎯 Intervenants : Experts du monde académique et de l'industrie 🎯 Les participants intéressés sont invités à s'inscrire. Lien d'inscription : https://internships.utkarshminds.com/ 🎯 Frais d'inscription : seulement Rs. 99/- (EUR 2 / USD 2) 🎯 Date limite d'inscription : 25 juin 2024 🎯 Comité d'organisation : Pranav Nerurkar pranav.nerurkar(a)utkarshminds.com +91 9619997797 Nous attendons avec impatience votre participation active. Cordialement, Institut Utkarsh Minds Stage en ligne : Test d'hypothèse à deux échantillonsDescription : Rejoignez notre programme de stage en ligne complet axé sur le test d'hypothèse à deux échantillons, conçu pour les étudiants désireux de se plonger dans le monde de l'analyse statistique et de la programmation. Ce stage offre un mélange unique d'apprentissage théorique et d'application pratique, fournissant aux participants une compréhension solide du test d'hypothèse à l'aide de données réelles. Principales caractéristiques : 1. *Cours vidéo interactifs* : - Apprenez les fondamentaux du test d'hypothèse à deux échantillons grâce à des cours vidéo captivants et informatifs. - Comprenez les concepts clés tels que les hypothèses nulle et alternative, les tests t, les tests z, les valeurs p et les intervalles de confiance. 2. *Travaux pratiques de codage* : - Appliquez les connaissances théoriques acquises lors des cours en réalisant des travaux pratiques de codage dans des langages tels que Python ou R. - Travaillez sur des jeux de données réels pour vous exercer à formuler des hypothèses, à effectuer des tests statistiques et à interpréter les résultats. - Bénéficiez de conseils pas à pas pour écrire et déboguer le code afin d'assurer une analyse précise et efficace. 3. *Applications pratiques* : - Explorez diverses études de cas et exemples illustrant l'application du test d'hypothèse à deux échantillons dans différents domaines tels que la santé, la finance, le marketing, et plus encore. - Participez à des projets imitant des scénarios réels où le test d'hypothèse est crucial pour la prise de décision. 4. *Mentorat et soutien* : - Recevez un mentorat de la part de statisticiens et de data scientists expérimentés. - Participez à des sessions de questions-réponses et à des forums de discussion pour clarifier vos doutes et enrichir votre expérience d'apprentissage. 5. *Certification* : - Obtenez un certificat à l'issue de ce stage, attestant de vos compétences et connaissances en test d'hypothèse à deux échantillons. - Ajoutez cette précieuse compétence à votre CV ou à votre profil LinkedIn pour renforcer vos perspectives de carrière. Exigences : - Compréhension de base des statistiques et de la programmation. - Un ordinateur avec accès à internet. - Volonté d'apprendre et d'appliquer de nouveaux concepts. Durée : - Le stage est auto-rythmé et peut être complété en 4 à 6 semaines, en fonction de votre emploi du temps et de votre rythme d'apprentissage. Greetings from Utkarsh Minds Institute! We are excited about the opportunity to help you enhance your skills in this critical area and want to ensure you don't miss out on this valuable experience. 🎯 *Program Dates:* 1st July to 31st August 2024 🎯 *Resource Persons:* Experts from Academia and Industry 🎯 *Registration Fees:* Rs. 99/- only To complete your enrollment, please visit the following link and finalize your registration: https://internships.utkarshminds.com/ *Why Should You Enroll?* - *Comprehensive Curriculum:* Learn practical and theoretical aspects of Python for statistical hypothesis testing. - *Expert Guidance:* Get trained by professionals with extensive experience in the field. - *Affordable Fees:* Gain valuable skills for just Rs. 99. - *Career Advancement:* Enhance your resume and improve your job prospects. The last date for registration is 25th June 2024. Don't miss this chance to advance your skills and career prospects. If you have any questions or need assistance with the registration process, please feel free to reach out to us. *Contact Details:* Pranav Nerurkar Email: pranav.nerurkar(a)utkarshminds.com Phone: +919619997797 Online Internship: Two Sample Hypothesis TestingDescription: Join our comprehensive online internship program focusing on Two Sample Hypothesis Testing, designed for students eager to delve into the world of statistical analysis and coding. This internship offers a unique blend of theoretical learning and practical application, providing participants with a robust understanding of hypothesis testing using real-world data. Key Features: 1. *Interactive Video Lectures*: - Learn the fundamentals of Two Sample Hypothesis Testing through engaging and informative video lectures. - Understand key concepts such as null and alternative hypotheses, t-tests, z-tests, p-values, and confidence intervals. 2. *Hands-On Coding Assignments*: - Apply the theoretical knowledge gained from the lectures by completing coding assignments in languages such as Python or R. - Work on real datasets to practice setting up hypotheses, running statistical tests, and interpreting results. - Get step-by-step guidance on writing and debugging code to ensure accurate and efficient analysis. 3. *Practical Applications*: - Explore various case studies and examples that illustrate the application of Two Sample Hypothesis Testing in different fields such as healthcare, finance, marketing, and more. - Engage in projects that mimic real-life scenarios where hypothesis testing is crucial for decision-making. 4. *Mentorship and Support*: - Receive mentorship from experienced statisticians and data scientists. - Participate in Q&A sessions and discussion forums to clarify doubts and enhance your learning experience. 5. *Certification*: - Earn a certificate upon successful completion of the internship, showcasing your skills and knowledge in Two Sample Hypothesis Testing. - Add this valuable credential to your resume or LinkedIn profile to boost your career prospects. Requirements: - Basic understanding of statistics and programming. - A computer with internet access. - Willingness to learn and apply new concepts. Duration: - The internship is self-paced and can be completed within 4-6 weeks, depending on your schedule and pace of learning. *Pranav A. NERURKAR* Specialist - AI & Data science UTKARSH MINDS +91 961-999-77-97 pranav.nerurkar@ <amandine.deplantes(a)igonogo.io>utkarshminds.com www.utkarshminds.com Nirmala Sadan, Jaya Nagar, Kasturba cross road no. 1, Mumbai - 400066

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Job posts at the Cognitive Science Center at Jagiellonian University
by Marcin June 17, 2024

June 17, 2024

*Postdoc and PhD Student positions to study neural mechanisms of cognition in naturalistic situations* *Jagiellonian University, Kraków, Poland* *Job Description:* The Jagiellonian University in Kraków, Poland, is excited to announce several upcoming job openings at different levels (postdocs and PhD) to work on the psychophysics and electrophysiology of cognition. These positions are funded by the National Science Center, Poland. We are seeking highly motivated candidates eager to investigate cognition using eye tracking, virtual reality (VR), electrophysiology, psychophysics, and advanced signal processing tools. Interested applicants should contact Marcin Leszczyński to discuss possibilities. *Lab Description:* Successful candidates will join a dynamic research group at the Cognitive Science Center at Jagiellonian University, located in the beautiful city of Kraków. Our lab employs a variety of technologies, including electrophysiology, eye-tracking, VR, and psychophysics, combined with advanced signal processing and machine learning, to study cognition in health and disease. We offer a vibrant international research environment, with English as the working language (no need to speak Polish). We encourage interested candidates to get in touch to discuss the opportunities available. The department provides excellent infrastructure, including supporting staff and state-of-the-art equipment for conducting experiments (e.g., behavioral laboratories, EEG, fMRI, TMS, eye-tracking, and VR setups). Additionally, motivated candidates will have the chance to participate in numerous collaborative projects with partners at Columbia University in New York City, Nathan Kline Institute, and University Hospital in Bonn. *Requirements:* *Postdoc Applicants:* - Must hold, or expect to hold, a doctorate in Psychology, Neuroscience, Computer Science, or related disciplines. - Ideal candidates will have experience designing, performing, analyzing, and disseminating psychophysics studies or experimental studies using eye tracking, VR, EEG, MEG, or LFPs. - Motivated candidates with other relevant experience are also encouraged to apply. - Salary for this position is approximately 9600 PLN per month. *PhD Applicants:* - Should have previous programming experience and a research interest in neuroscience, perception, attention, memory, eye movements, sensory-motor, or multi-sensory interactions. - Previous experience in analyzing psychophysiological signals is an asset. - Ability to work independently and proficiency in English are essential (no need to speak Polish). For further inquiries about the positions, please contact Marcin Leszczyński at marcin.leszczynski(a)uj.edu.pl. *Application Process:* Interested candidates should send the following: - A cover letter describing research interests and motivation to join our lab (max. 2 pages). - Curriculum vitae. - Contact information for two references. Applications will be reviewed on a rolling basis until the positions are filled.

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PsychoPy Course for Cognitive and Social Neuroscience
by elham afshari June 17, 2024

June 17, 2024

Dear Members, I am happy to announce the launch of a course, designed specifically for cognitive science beginners. If you're new to psychology or neuroscience and want to run experiments with PsychoPy, this course might be useful. Enroll the course here: Mastering PsychoPy for Psychology and Neuroscience <https://www.udemy.com/course/mastering-psychopy-for-psychology-and-neurosci…> This course provids a clear understanding of experimental design using PsychoPy, even for beginners,and has a hands-on approach to experiment building. I thought you might be interested in checking it out, especially if you're looking to enhance your skills in experimental design and implementation. Bests,

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World wide VVTNS series: Wednesday, June 19 at 11am (EDT), Yasaman Bahri , Google DeepMind | Learning and prediction in artificial deep neural networks: scaling, data manifolds, and universality
by David Hansel June 16, 2024

June 16, 2024

[image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Yasaman Bahri Google DeepMind on the topic of Learning and prediction in artificial deep neural networks: scaling, data manifolds, and universality The lecture will be held on zoom on *Wednesday* *June 19, 2024*, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: *Developing scientifically-grounded theories for representation learning and generalization in artificial deep neural networks remains a grand challenge of fundamental interest to theoretical neuroscience and machine learning. I will discuss our work on one facet of this challenge — namely understanding generalization or “scaling laws” in learned neural networks as a function of basic control variables. I’ll discuss a taxonomy we develop that classifies different regimes of scaling behavior. We identify regimes where generalization exhibits universal scaling behavior and others where it can be traced back to properties of the data and neural architecture. The theoretical analysis is enabled by leveraging exactly solvable models of deep neural networks that arise naturally in the limit of large hidden layers. Along the way, I’ll also discuss our work on these theoretical models, which have been a useful starting point for theoretical descriptions of neural network dynamics. Finally, I’ll discuss our findings connecting generalization in neural networks to properties of the learned data manifold. I’ll close by discussing future directions and new hypotheses that emerge from our findings *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. 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 ᐧ ᐧ ᐧ ᐧ

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2024 SPARC FAIR Codeathon: apply now and choose a project
by Elisabetta Iavarone June 14, 2024

June 14, 2024

Dear all, The Common Fund SPARC program, with funding from the National Institutes of Health (NIH), has a three-day in-the-cloud Codeathon that may be of interest for the comp-neuro community. The fourth annual virtual SPARC Codeathon will take place *online **August 10-12*. This global prize competition is currently recruiting participants to make SPARC data and resources <https://sparc.science/> more Findable, Interoperable, Accessible, and Reusable (FAIR). Any interested participant can join projects spanning data visualization, simulation tool development, python workflow creation, and more to compete for $50,000 in prizes. Follow this link to learn more and sign up today! https://sparc.science/news-and-events/events/2024-sparc-fair-codeathon Elisabetta Iavarone, On behalf of the SPARC FAIR Codeathon team

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Open position at Goettingen University - PhD student (f/m/d) - SPP 2205
by von Behren, Christina June 14, 2024

June 14, 2024

The Department of Data-driven Analysis of Biological Networks at the Georg-August-Universität of Göttingen invites applications for a position as PhD student (f/m/d)<https://www.uni-goettingen.de/de/644546.html?details=2851/> This position is available starting from November 1st, 2024. It is a part time position with a limited contract of 3 years. Salary and working hours will be according to the German grade 13 TV-L (65%, currently 25,87 hours per week). The position will be associated with the group of Prof. Dr. Michael Wibral, Göttingen Campus Institute for Dynamics of Biological Networks (CIDBN)<https://www.uni-goettingen.de/de/608362.html/>. We are recruiting a PhD student for the interdisciplinary research project "Evolutionary Convergence of Hierarchical Information Processing" funded by the German Research Foundation (DFG) within the research initiative SPP2205 "Evolutionary optimization of neuronal processing<https://www.uni-goettingen.de/de/618311.html>. The project aims to establish the common information theoretic principles of computation in hierarchical neural systems that are conserved across species (in particular mammals and birds). Specifically, we will use the analysis of information theoretic timescales [1], the correlation of information storage and transfer [2] and the analysis of unique, redundant and synergistic information [3,4] in order to take a comparative approach to neural computation in the primate and the avian brain. The project will be pursued in close collaboration with the research groups of Viola Priesemann at the Max Planck Institute for Dynamics and Self-Organization in Göttingen and Onur Güntürkün, Jonas Rose and Roland Pusch at the Ruhr University of Bochum. We are looking for candidates with an excellent Master degree in physics, neuroscience, cognitive science, computer science or a related field who are committed to pursuing a career in research. The successful applicant will develop novel information theoretic models and measures of neural computation and apply them to electrophysiological recordings to analyze predictive hierarchical information processing in the primate and the avian brain. The ideal candidate should possess exceptional analytical skills, coupled with a proficiency in coding in a language that is pertinent to data analysis. We offer the opportunity to become a member of a vibrant community dedicated to innovative research and teaching at the frontier of the exact and biological sciences, and to connect to the latest developments in information theory, in particular partial information decomposition. The Göttingen Campus is a leading center of biophysics and neuroscience in Europe hosting numerous internationally renowned research institutions, including the University and its Medical Center, the three Max Planck Institutes in the Life Sciences, the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience (BCCN) Göttingen. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The university is particularly committed to the professional participation of severely disabled employees and therefore welcomes applications from severely disabled persons. In the case of equal qualifications, preference is given to applications from people with severe disabilities. A disability or equality is to be included in the application in order to protect the interests. Please submit your application in digital form only and send all relevant documents in one single PDF-document, including a letter of interest, your curriculum vitae with a list of publications, copies of your certificates and contact information of at least two references to Wibral_lab(a)uni-goettingen.de by August 1st, 2024. If you have any questions, please contact Prof. Dr. Michael Wibral via E-Mail: michael.wibral(a)uni-goettingen.de Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Hinweisblatt zur Datenschutzgrundverordnung (DSGVO) https://www.uni-goettingen.de/hinweisdsgvo [1] Rudelt et al. (2021) Embedding optimization reveals long-lasting history dependence in neural spiking activity. PLoS Comp Biol 17(6):e1008927 [2] Wollstadt et al. (2023) Information-theoretic analyses of neural data to minimize the effect of researchers' assumptions in predictive coding studies. PLOS Comp Biol 19 (11) e1011567 [3] Gutknecht et al. (2021) Bits and pieces: Understanding information decomposition from part-whole relationships and formal logic. Proc. Royal Soc. A 477 (2251), 20210110 [4] Ehrlich et al. (2023) A measure of the complexity of neural representations based on partial information decomposition, Transactions on Machine Learning Research 5 ------ Goettingen Campus Institute for Dynamics of Biological Networks Bernstein Center for Computational Neuroscience Goettingen University of Goettingen Heinrich-Dueker-Weg 12 37073 Goettingen Germany

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11th rTAIM Online Seminar | Walter Sinnott-Armstrong (Duke Uni.) | 26 June 2024 - 3pm Lisbon Time Zone | Zoom
by steven gouveia June 13, 2024

June 13, 2024

Dear All, Following the 10th rTAIM Online Seminar (available here: https://www.youtube.com/watch?v=ZsRMi76gv9c) we are happy to announce the 11th rTAIM Online Seminar with the participation of Professor Walter Sinnott-Armstrong (Duke University, USA), on the 26th June 2024, 15h-16h30 Lisbon Time Zone, via Zoom. Title: The Moral AI and How We Get There Abstract: Artificial intelligence (AI) is beginning to be used for many life-changing decisions in medicine. Critics object that using AI in these areas is too likely to lead to harm, unfairness, and other moral wrongs. In response, I will argue that these decisions can be made safer and more ethical by building human moral values into the AI decisionmaker. But how can we do that? I will discuss problems for some proposed ways to build morality into AI from the top down and from the bottom up. Then I will explain our lab’s novel hybrid alternative, which surveys human moral judgments and then corrects for ignorance, confusion, and partiality. Because our approach is based on idealized observer theories in ethics, it minimizes substantive assumptions about what is morally right or wrong, and it can be used in a wide variety of contexts. I will report initial empirical results using our method and discuss potential applications to kidney allocation and dementia. Short bio: Walter Sinnott-Armstrong is Chauncey Stillman Professor of Practical Ethics in the Department of Philosophy and the Kenan Institute for Ethics at Duke University. His most recent book is Moral AI and How We Can Get There, with Jana Schaich Borg and Vincent Conitzer in 2024. Zoom: Link: https://videoconf-colibri.zoom.us/j/98415196784?pwd=a3dHbmF4VzlTaVczWTB6QzV… Meeting ID: 984 1519 6784 Passcode: 765321 More info: https://trustaimedicine.weebly.com/<https://trustaimedicine.weebly.com/rtaim-seminars.html>rtaim<https://trustaimedicine.weebly.com/rtaim-seminars.html>-seminars.html<https://trustaimedicine.weebly.com/rtaim-seminars.html> We are also happy to announce that the Call for Abstract for the 3rd International Conference on the Ethics of Artificial Intelligence that will happen in the São Miguel Islands in the Azores (Portugal), between 19-25 September 2024 (online and in-person), is OPEN for submissions (notifications of acceptance/rejectance) are given in 7-10 days). You can find the information related to the 3ICEAI here: https://trustaimedicine.weebly.com/3iceai.html Sincerely, Organizer

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PhD position at Bernstein Center Berlin & Humboldt University (Physics Dep.) available: Universal description of stochastic oscillators
by Benjamin Lindner June 13, 2024

June 13, 2024

*Universal description of stochastic oscillators - higher dimensional examples, extraction of the mapping from data, and networks of oscillators * Within DFG-funded project, I am looking for a PhD candidate to work on the theoretical description of stochastic oscillations.Specifically, we want to apply and generalize a recently developed universal description of stochastic oscillators (Perez-Cervera et al. PNAS, 2023) in three respects: (i) it should be applied to oscillators that have higher dimensions than two going beyond what has been studied before; (ii) the nonlinear transformation at the core of the procedure should be extracted from (simulation or experimental) data; (iii) the theory for coupled stochastic oscillators will be more thoroughly grounded and, moreover, extended to the case of networks of stochastic oscillators (more than two oscillators, the case previously investigated). These explorations and extensions of the framework have potential applications for the theoretical description of many systems outside of thermodynamic equilibrium, in particular in biology and neuroscience. The successful candidate should have a degree in physics, mathematics or computational neuroscience (a background in neurobiology is desirable but not obligatory), programming skills (C++, Python, LaTeX, Linux), an excellent command of the English language, good communication skills, team spirit, and, last but not least, great enthusiasm for interdisciplinary projects. Funding is provided for three years, starting in the *fall 2024*. For details on the doctoral examination process at the Physics Department of Humboldt University Berlin, see https://fakultaeten.hu-berlin.de/en/mnf/wisskar/promotionen/zula. Applications, including a letter of motivation, a CV, and a list of three potential referees should be sent by email to   me benjamin.lindner(a)physik.hu-berlin.de  (cc to officebl(a)bccn-berlin.de) stating the reference number *DR/084/24*. The deadline for applications is *July 24, 2024*, however, later applications might also be considered. Kind regards, Benjamin Lindner -- Benjamin Lindner Professor for Theory of Complex Systems and Neurophysics BCCN Berlin Philippstr. 13, Haus 2, 10115 Berlin Room: 1.17, phone: 0049(0)302093 82492 (new number!!) Physics Dep. Humboldt University Berlin Newtonstr. 15 12489 Berlin Room: 3.412, phone: 0049(0)302093 7934 http://people.physik.hu-berlin.de/~lindner/index.html -----------------------------------------------------

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Postdoc AI machine learning New York
by Sivan Kinreich June 12, 2024

June 12, 2024

Please forward this to those who may be interested: Dr. Kinreich's group at SUNY Downstate Medical Center, NY ( https://www.pmbd2.org/) investigates the structural and functional neural networks (fMRI, EEG), genetics, and other phenotypes associated with the risk and resilience factors underlying the development of brain diseases. We use advanced machine learning algorithms and seek a skilled, motivated, and enthusiastic individual with a Master's degree / postdoctoral fellow to join the lab. The position: Education: Candidates must have a Master's degree or a Ph.D. degree (or towards completion) in computational neuroscience, biology, computer science, data science, or a related discipline. Computer and General Skills: Knowledge of experimental statistics and excellent programming skills are required (Python, Matlab). High-level expertise in neuroimaging analyses is a plus. Previous experience in machine learning analysis and computational modeling is a plus. Takes initiative. Strong communications skills and research productivity, as well as the ability to work effectively in a research team. Duties and Responsibilities: • Managing and analyzing big data, including neuroimaging, genetics, and clinical data • Writing machine learning programs in Python and Matlab to identify patterns in data • Writing manuscripts • Presenting findings at national conferences and local seminars/meetings This job is available immediately for 2 years. Job is open until filled. Salary will be commensurate with experience and qualifications according to NIH scales. Candidates should send their CV, representative publications, and contact information of two references to Sivan Kinreich, email: sivan.kinreich(a)downstate.edu Sivan Kinreich, Ph.D. Department of Psychiatry Prediction Modeling and Biomarker Discovery of Brain Disorders lab (PMBD2) Henri Begleiter Neurodynamics Laboratory SUNY Downstate Medical Center 450 Clarkson Ave. Brooklyn, NY 11203 Tel: 718-270-3322 646-775-8509 Email: sivan.kinreich(a)downstate.edu sivankinreich(a)gmail.com  Reply  Forward Sivan Kinreich, Ph.D. Department of Psychiatry Prediction Modeling and Biomarker Discovery of Brain Disorders lab Henri Begleiter Neurodynamics Laboratory SUNY Downstate Health Sciences University 450 Clarkson Ave. Brooklyn, NY 11203 Tel: 718-270-3322 646-775-8509 Email: sivan.kinreich(a)downstate.edu sivankinreich(a)gmail.com ________________________________ The contents of this email message and any attachments are confidential and are intended solely for the addressee. The information may also be legally privileged. This transmission is sent in trust, for the sole purpose of delivery to the intended recipient. If you have received this transmission in error, any use, reproduction or dissemination of this transmission is strictly prohibited. If you are not the intended recipient, please immediately notify sender by reply email or by (718) 270-HELP.

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Last week of LLM Understanding Summer School.
by Stephen José Hanson June 12, 2024

June 12, 2024

There is incorrect information on the University web site for the LLM understanding, implying that you need a ticket to attend. THIS IS NOT TRUE. the Zoom access is Free; Here's the meeting number; again: ZOOM ACCESS IS FREE<https://uqam.zoom.us/j/85718093402>. MEETING NUMBER IS 85718093402 -- Stephen José Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS

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13 MSCA-funded PhD positions in (computational) neuroscience and mental health at UAB/CRM (Barcelona)
by Alexandre Hyafil June 12, 2024

June 12, 2024

13 PhD positions are offered by MSCA-COFUND TOUCH <https://webs.uab.cat/touch/> (Towards the next generation of excellent young doctoral researchers on mental health by developing an intersectoral & transdisciplinary approach) at the UAB campus (Barcelona), including two projects at the Computational Neuroscience Group at the CRM: - Modelling circular inference, from the general population to psychotic experience <https://webs.uab.cat/touch/jobs/modelling-circular-inference-from-the-gener…> - Computational modeling of working memory decline in normal aging <https://webs.uab.cat/touch/jobs/computational-modeling-of-working-memory-de…> For informal inquiries about these projects, please contact Klaus Wimmer ( kwimmer(a)crm.cat) or Alex Hyafil (alexandre.hyafil(a)gmail.com) The salary is highly competitive and for 3 years. Applications are due on *June 30* (see guidelines <https://webs.uab.cat/touch/call/>). Eligible candidates must have resided in Spain for less than 12 months in the last 3 years.

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Two weeks left to apply for Travel Grants for the Bernstein Conference 2024
by Alexander Lammers June 12, 2024

June 12, 2024

To support the participation of early career scientists at the Bernstein Conference, the Bernstein Network offers up to 10 Travel Grants, each endowed with 500 €. Details and application: https://bernstein-network.de/bernstein-conference/early-career-scientists/t… ____ BERNSTEIN CONFERENCE Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries. Conference website: https://bernstein-network.de/bernstein-conference/ ____ IMPORTANT DATES * Travel Grant application deadline: Jun 26, 2024 (15:00 CEST) * Poster abstract submission deadline: Jul 10, 2024 (15:00 CEST) * Early registration deadline: Jul 31, 2024 (23:59 CEST) * Late registration deadline: Sep 11, 2024 (23:59 CEST) * Bernstein Conference: Sep 29 – Oct 2, 2024 ____ INVITED SPEAKERS Dmitriy Aronov (Columbia University, USA) Helen Barron (University of Oxford, UK) Elizabeth Buffalo (University of Washington, USA) Alex Cayco Gajic (Ecole Normale Supérieure, France) Jan Drugowitsch (Harvard University, USA) Jakob Macke (University of Tübingen, Germany) Tirin Moore (Stanford University, USA) Mala Murthy (Princeton University, USA) Memming Park (Champalimaud Foundation, Portugal) Susanne Schreiber (Humboldt Universität zu Berlin, Germany) Xiao-Jing Wang (New York University, USA) ____ CONFERENCE COMMITTEE Matthias Kaschube (Conference Chair) Srdjan Ostojic (Program Chair) Tatiana Engel (Program Vice Chair) Maria Eckstein (Workshop Chair) Wiktor Młynarski (Workshop Vice Chair) & Athena Akrami, Mehrdad Jazayeri, Jennifer Li, Scott Linderman, Ashok Litwin-Kumar, Ida Momennejad, Christina Savin, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de<mailto:bernstein.conference@fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Karsten Beneke (stellv. Vorsitzender), Prof. Dr. Ir. Pieter Jansens ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN HEALTHCARE (AIiH)
by Jiaxiang ZHANG June 11, 2024

June 11, 2024

[apologies for cross-posting] *INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN HEALTHCARE (AIiH)* 4 - 6 September 2024, Swansea, UK https://aiih.cc (*2nd CALL FOR ABSTRACT*) Submission deadline: Monday 1 July (FIRM) *1. INTRODUCTION * https://aiih.cc/abstracts/ AIiH 2024 welcomes late-breaking short abstract submissions to be included as poster or short spot-light presentation at the conference. This is to both enable fast dissemination of promising preliminary findings and encourage attendance by a broader audience of early career researchers (including research students), healthcare professionals, and industrial practitioners. AIiH 2024 is a single-track conference with oral and poster presentations and will include a conference tutorial on generative DNNs and 5 keynote presentations. The conference will also feature a plenary session, which consists of 3 invited speakers who have extensive experience in related areas. AIiH aims to provide a prominent platform for researchers and practitioners who are devoted to improving healthcare using modern artificial intelligence. We recognise that healthcare applications present complex and sometimes unique challenges across a wide spectrum, from ethics to technical developments, that generic AI methods are often inadequate. By creating this dedicated forum, we encourage discussions and disseminations of efficient and effective AI solutions and technologies for healthcare, and in turn we hope to influence the research, technology adoption, and decision making in healthcare. *2. CONFERENCE TUTORIAL* Title: Deep Generative Neural Networks https://aiih.cc/tutorial-generative-dnn/ Dr. Amir Atapour-Abarghouei University of Durham *3. KEYNOTE SPEAKERS* https://aiih.cc/keynote-speakers/ Prof. Hao Ni University College London Dr. Timothy Rittman Cambridge University Dr. Konstantinos Kamnitsas Oxford University Prof. Jacques Fleuriot Edinburgh University Prof. Eiichiro Tanaka Waseda University, Japan *4. PLENARY SESSION ON TRANSLATING AI RESEARCH INTO PRACTICE* https://aiih.cc/plenary-session/ Dr. Alba Di Pardo IRCCS Istituto Neurologico Mediterraneo Neuromed Dr. Noura Al Moubayed Durham University & Evergreen Life Dr. Haoda Fu Eli Lilly and Company *5. ABSTRACT SUBMISSION* Submission instructions are available at the conference website: https://aiih.cc/abstracts/ IMPORTANT DATES Abstract deadline: Monday 1 July (FIRM) Abstract notification: Monday 8 July (FIRM) Abstract registration: Monday 15 July Late registration: Monday 12 August Main conference: Wednesday 4 – Friday 6 September 2024 *6. ORGANISERS* CONFERENCE GENERAL CHAIRS Xianghua Xie, Swansea University, UK Iain Styles, Queen’s University Belfast, UK PROGRAMME CHAIRS Gibin Powathil, Swansea University, UK Marco Ceccarelli, University of Rome Tor Vergata, Italy SPECIAL SESSION CHAIRS Jiaxiang Zhang, Swansea University, UK Rex Ying, Yale University, USA SPONSORSHIP CHAIRS Daniele Cafolla, Swansea University, UK Raoul van Loon, Swansea University, UK PUBLICITY CHAIRS Lu Zhang, Swansea University, UK Beiyu Lin, University of Nevada, USA PUBLICATION CHAIR Jingjing Deng, Durham University, UK *7. SPONSORS* Gold: - Technis Blu - Infordata Silver: - Amicus Therapeutics Bronze: - Zienkiewicz Institute for Modelling, Data and AI - IET Institution of Engineering and Technology Your Researcher Sponsor: - Elsevier Journal of Theoretical Biology Best Paper Award Sponsor: - Springer *8. CONTACT* contact(a)aiih.cc <contact(a)aiih.cc>

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Reminder: FENS Satellite Symposium on Dynamic Auditory Predictions in Human and Non-human Primates
by Robert Baumgartner June 11, 2024

June 11, 2024

[Apologies for cross-postings] Dear Colleagues, a few places have recently become available to attend and present a poster at our Dynamates Symposium on ‘Dynamic Auditory Predictions in Human and Non-human Primate’. It is organised as a satellite event of this year’s FENS Forum and takes place in Vienna, Austria, on Monday, June 24, 2024, so less than two weeks from now. This symposium brings together experts in the field of cognitive neuroscience, cognitive biology and computational modelling to address key questions in predictive auditory processing with a focus on spatial and temporal auditory perception in volatile environments. It will cover purely behavioural approaches as well as combinations with eyetracking, EEG and other neuroimaging modalities. Invited speakers: - Tecumseh Fitch (University of Vienna, Austria) - Florent Meyniel (Neurospin, CEA Paris-Saclay, France) - John van Opstal (Donders Centre for Neuroscience, Netherlands) - Barbara Shinn-Cunningham (Carnegie Mellon Neuroscience Institute, USA) Registration: - Fill out this form <https://leidenuniv.eu.qualtrics.com/jfe/form/SV_22WteXETC6Ay47A> - First come first serve (max. 60 participants) - Registrants encouraged to submit a poster abstract For further details, visit our symposium webpage: https://www.oeaw.ac.at/isf/dynamates-symposium <https://www.oeaw.ac.at/isf/dynamates-symposium-2024> Best wishes from the organizing committee, Robert Baumgartner Burcu Bayram Roman Fleischmann Julia Grabner David Meijer Ulrich Pomper Michelle Spierings — Robert Baumgartner, PhD (he/him) Head of Auditory Cognitive Neuroscience Acoustics Research Institute Austrian Academy of Sciences Dominikanerbastei 16, 1010 Vienna, Austria +43 1 51581-2527 @RobeBaumgartner

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MNE Python EEG/ERP Data Analysis Course
by elham afshari June 10, 2024

June 10, 2024

Dear Members, Several of my students and professors have found this comprehensive EEG/ERP Data Analysis course <https://www.udemy.com/course/eegerp-analysis-with-python-and-mne-an-introdu…> incredibly useful. It’s perfect for beginners, covering everything from EEG history and recording techniques to advanced analyses with practical Python-MNE exercises. The expert teacher uses everything (from drawing to simple codes) to explain details. Link for Enroll: Introductory Course on EEG/ERP using MNE and Python <https://www.udemy.com/course/eegerp-analysis-with-python-and-mne-an-introdu…> Bests,

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Register now for the Bernstein Conference 2024
by Alexander Lammers June 10, 2024

June 10, 2024

The registration for the Bernstein Conference 2024 is open. Registration website: https://bernstein-network.de/bernstein-conference/registration/ ____ Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries. Conference website: https://bernstein-network.de/bernstein-conference/ ____ IMPORTANT DATES * Travel Grant application deadline: Jun 26, 2024 (15:00 CEST) * Poster abstract submission deadline: Jul 10, 2024 (15:00 CEST) * Early registration deadline: Jul 31, 2024 (23:59 CEST) * Late registration deadline: Sep 11, 2024 (23:59 CEST) * Bernstein Conference: Sep 29 – Oct 2, 2024 ____ INVITED SPEAKERS Dmitriy Aronov (Columbia University, USA) Helen Barron (University of Oxford, UK) Elizabeth Buffalo (University of Washington, USA) Alex Cayco Gajic (Ecole Normale Supérieure, France) Jan Drugowitsch (Harvard University, USA) Jakob Macke (University of Tübingen, Germany) Tirin Moore (Stanford University, USA) Mala Murthy (Princeton University, USA) Memming Park (Champalimaud Foundation, Portugal) Susanne Schreiber (Humboldt Universität zu Berlin, Germany) Xiao-Jing Wang (New York University, USA) ____ CONFERENCE COMMITTEE Matthias Kaschube (Conference Chair) Srdjan Ostojic (Program Chair) Tatiana Engel (Program Vice Chair) Maria Eckstein (Workshop Chair) Wiktor Młynarski (Workshop Vice Chair) & Athena Akrami, Mehrdad Jazayeri, Jennifer Li, Scott Linderman, Ashok Litwin-Kumar, Ida Momennejad, Christina Savin, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de<mailto:bernstein.conference@fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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:::Deadline extension::: EITN Fall School in Computational Neuroscience 2024
by DEPANNEMAECKER Damien June 10, 2024

June 10, 2024

The application deadline has been extended to July 7. Due to technical issues, the email address previously announced is not working, please send your application to: eitnfs2024(a)protonmail.ch EITN Fall School in Computational Neuroscience 2024 <https://eitnschool2022.sciencesconf.org/> Marseille, 16-25 October 2024 The EITN Fall School in Computational Neuroscience consists of a 10-day course in theoretical and computational neuroscience, from cellular to whole-brain levels. The course is structured in thematic days with lectures, tutorials, and project work. The course is typically aimed at PhD students, young postdocs, or master students interested to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building. The students will form thematic groups to work on predefined subjects, with the help of tutors. The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, and whole-brain models. There will be lectures and tutorials associated with these topics. Why join? 10 days of intensive training in computational neuroscience provided by researchers from all over Europe. A complete program: • Cellular models, and models of brain signals • Circuit models and networks • Mean-field models • Whole-brain models Hands-on learning schedule based on: • Morning classes and tutorials • Group projects in the afternoon • Free time in the evenings and on Sunday to visit Marseille How to apply? This training has a limited capacity of 28 students, therefore a selection will be performed by a scientific organizing committee. Applications are open until July 7, 2024. Application: a one-page CV, a motivation letter to explain why you would like to attend this course, and a recommendation letter. The file names must start with your name (e.g., NAME_CV.pdf, etc....). Send your application by email at eitnfs2024(a)protonmail.ch Due to technical issue the email address previously announced is not working, please send your application at: eitnfs2024(a)protonmail.ch EITN Fall School in Computational Neuroscience 2024 <https://eitnschool2022.sciencesconf.org/> Marseille, 16-25 October 2024 The EITN Fall School in Computational Neuroscience consists of a 10-day course in theoretical and computational neuroscience, from cellular to whole-brain levels. The course is structured in thematic days with lectures, tutorials, and project work. The course is typically aimed at PhD students, young postdocs, or master students interested to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building. The students will form thematic groups to work on predefined subjects, with the help of tutors. The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, and whole-brain models. There will be lectures and tutorials associated with these topics. Why join? 10 days of intensive training in computational neuroscience provided by researchers from all over Europe. A complete program: • Cellular models, and models of brain signals • Circuit models and networks • Mean-field models • Whole-brain models Hands-on learning schedule based on: • Morning classes and tutorials • Group projects in the afternoon • Free time in the evenings and on Sunday to visit Marseille How to apply? This training has a limited capacity of 28 students, therefore a selection will be performed by a scientific organizing committee. Applications are open until 09 June 2024. Application: a one-page CV, a motivation letter to explain why you would like to attend this course, and a recommendation letter. The file names must start with your name (e.g., NAME_CV.pdf, etc....). Send your application by email at eitnfs2024(a)protonmail.ch

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Apply now for the Computational Neuroscience Imbizo 2025 - app close 24th July
by Spyridon Chavlis June 10, 2024

June 10, 2024

Dear friends and colleagues, Student applications for the next Imbizo are *OPEN*. Don’t let this opportunity slip by if you are hoping to join the most diverse neuroscience summer school at the most beautiful beach in the world! If you know anyone who would benefit from an extraordinary computational neuroscience summer school, please distribute this information as widely as you can: SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO (#Imbizo2025) 12 January - 2 February 2025, Noordhoek Beach, Cape Town, South Africa (https://imbizo.africa/) *Application deadline: 24th July 2024 at 20:00 UTC* The Imbizo is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together international and local students under the tutelage of the world's leading experts in the field. Like its international sister courses, this three-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of computational neuroscience, including experimental underpinnings and machine learning analogues. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modeling of neurons, neural systems, behavior, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. It also includes a week focused on neuroscience-inspired machine learning! *Who should apply?* This course is aimed at Masters and early-PhD level students, though Honors or advanced Undergraduates may also apply. Postdoctoral students who can motivate why the course would benefit them are also encouraged to apply. Students should have sufficient quantitative skills (e.g., a background in mathematics, physics, computer science, statistics, engineering, or related fields). Some knowledge of neural biology will be useful but not essential. Experimental neuroscience students are encouraged to apply but should ensure that they have a reasonable level of quantitative proficiency (i.e., at least second-year level mathematics or statistics and have done at least one course in computer programming). *Course fees and Scholarships:* Course Fee: €1450 includes all accommodation, meals, social activities, and ground transport in Cape Town. Thanks to our generous sponsors, significant financial assistance is available to reduce and waive fees for students, particularly for African applicants. We also hope to provide some limited travel bursaries for international students. If you need financial assistance to attend Imbizo, please state so clearly in the relevant section of your application. *Scholarships on offer:* (a) Full Scholarship includes a waived course fee (€1450) and your economy class travel to Cape Town, which will be booked by the Imbizo. (b) Partial Scholarship includes a waived course fee (€1450) and a set financial contribution towards your travel costs (paid after arrival in Cape Town). The amount will vary on a case by case basis. (c) Course Scholarship includes a waived course fee (€1450), but you will be responsible for booking and paying for your own travel costs to Cape Town. *Note:* (a) You must ensure you have a valid passport when applying. (b) Visa application and related costs remain the responsibility of all accepted students. *Important dates:* Applications CLOSE 24th July 2024 at 20:00 UTC References SUBMITTED 31st July 2024 at 20:00 UTC Outcomes NOTIFIED mid-September 2024 Accept BY 1 week after notifications Imbizo STARTS 12 January 2025 Imbizo ENDS 2 February 2025 *Information and application* https://imbizo.africa/ *Questions?* isicn.imbizo.planning [AT] gmail.com What is an Imbizo? \ɪmˈbiːzɒ\ | Xhosa - Zulu A gathering of the people to share knowledge. View our past FACULTY and TAs: https://imbizo.africa/people/ *ORGANIZERS and 2025 Affiliate Organisations:* Arif Hamid (University of Minnesota) Peter Latham (Gatsby Unit for Computational Neuroscience) Xaq Pitkow (Carnegie Mellon University) Emma Vaughan (Imbizo Logistics) Spiros Chavlis (Foundation for Research and Technology-Hellas) *Sponsors* The Imbizo is made possible by the generous support from the Simons Foundation (https://www.simonsfoundation.org/) the International Brain Research Organisation (IBRO) (https://ibro.org/) as well as the DeepMind, Meta, and others. Thanks and regards Simons Computational Neuroscience Imbizo Committee imbizo.africa <https://imbizo.africa/> @CompNeuroImbizo <https://x.com/CompNeuroImbizo> -- *Spyridon Chavlis, PhD* Postdoctoral Researcher and Systems Administrator Poirazi Lab Institute of Molecular Biology and Biotechnology (IMBB) Foundation for Research and Technology-Hellas (FORTH) Nikolaou Plastira, 100 GR 70013 Heraklion, Crete, Greece Tel: (+30) 2810 39 1264 Εmail: chavlis.spiros(a)gmail.com Webpage: dendrites.gr <https://www.dendrites.gr>

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Postdoc and PhD position at University of Miami - spontaneous thoughts, AI, computational psychiatry
by Mingbo Cai June 9, 2024

June 9, 2024

Dear list members, Apologies for cross-posting. *Postdoc and PhD student positions on fMRI study of spontaneous thoughts* The lab led by Mingbo Cai (*https://cailab-miami.org/* <https://cailab-miami.org/>) at the Department of Psychology, University of Miami, seeks a talented cognitive neuroscientist or AI researcher to join as a postdoctoral associate in the beautiful Miami of USA! The primary focus of this position is to work on an exciting collaborative project of decoding spontaneous thoughts. However, candidates with strong background and interest in other major directions of the lab (learning and decision making, computational psychiatry) are also welcome to apply. For the project on spontaneous thoughts, the candidate will work closely with Dr. Mingbo Cai, the director of the lab, and have the opportunity to collaborate with Nicolas Schuck (*https://schucklab.gitlab.io/* <https://schucklab.gitlab.io/>) at University of Hamburg and Quentin Huys ( *https://www.mps-ucl-centre.mpg.de/person/104585* <https://www.mps-ucl-centre.mpg.de/person/104585>) at University College London, with the added possibility of establishing new collaboration with other faculty inside the department ( *https://www.psy.miami.edu/people/faculty/faculty-by-division/index.html* <https://www.psy.miami.edu/people/faculty/faculty-by-division/index.html>). The intended project focuses on understanding the contents and dynamics of spontaneous thoughts using fMRI decoding and natural tasks, their interaction with memory and emotion, and rumination in mental disorders. You will have the opportunity to analyze a rich fMRI dataset of healthy and clinical participants during spontaneous thoughts, and conduct new experiments. Expertise and track record in at least one of the following domains are highly desirable: deep learning models on natural language processing or computer vision, advanced analysis of fMRI using encoding or decoding models, computational modeling of spontaneous thoughts or psychiatric disorders or human behavior, design of experiments using naturalistic stimuli. Deadline for applications: August 31, 2024. Strong applications will be evaluated immediately upon receiving. The position will remain open until filled. *Interested candidate can submit the following documents at this link:* *https://careers.miami.edu/us/en/job/R100076995/Post-Doctoral-Associate-Psychology* <https://careers.miami.edu/us/en/job/R100076995/Post-Doctoral-Associate-Psyc…> - a cover letter including contact information for 2-3 reference letters - CV - research statement - writing sample representing your works. Multiple manuscripts may be concatenated into one pdf. Informal inquiry can be sent to mingbo [dot] cai [at] miami [dot] edu, with a title of "[postdoc] + *your name*" The lab will also accept a PhD student in Fall 2025. Email inquiry is welcome with a title of "[grad application] + your name" Best wishes, Mingbo Cai Assistant Professor Department of Psychology University of Miami https://cailab-miami.org

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PhD position at Bernstein Center Berlin & Humboldt University (Physics Dep.) available
by Benjamin Lindner June 7, 2024

June 7, 2024

Efficient representations of fast dynamic stimuli in populations of ON- and OFF-cells Within the DFG priority program "Evolutionary Optimisation of Neuronal Processing" and in an experiment-theory collaboration with the Benda/Grewe lab in Tübingen, we are looking for a PhD candidate to work on signal transmission of time-dependent signals in the electrosensory system of weakly electric fish. Specifically, we are interested in the following research questions: 1. How are high-frequency signals efficiently encoded in ON-OFF-pathways despite strongly reduced firing rates? 2. What is the impact of feedback on the representation of high-frequency information in ON- OFF-pathways? In order to get an idea about similar approaches pursued in the past, have a look at some of the joint publications of the Benda lab and the Lindner group: Fisch et al. J. Neurosci. 32, 17332 (2012) Sharafi et al. J. Comp. Neurosci. 34 , 285 (2013) Grewe et al. PNAS 114 E1977 (2017) The successful candidate should have a degree in physics, mathematics or computational neuroscience (a background in neurobiology is desirable but not obligatory), programming skills (C++, Python, LaTeX, Linux), an excellent command of the English language, good communication skills, team spirit, and, last but not least, great enthusiasm for interdisciplinary projects. Funding is provided for three years, starting in the fall 2024. For details on the doctoral examination process at the Physics Department of Humboldt University Berlin, see https://fakultaeten.hu-berlin.de/en/mnf/wisskar/promotionen/zula. Applications, including a letter of motivation, a CV, and a list of three potential referees should be sent by email to   me benjamin.lindner(a)physik.hu-berlin.de  (cc to officebl(a)bccn-berlin.de) The deadline for applications is July 17, 2024, however, later applications might also be considered. Kind regards, Benjamin Lindner -- Benjamin Lindner Professor for Theory of Complex Systems and Neurophysics BCCN Berlin Philippstr. 13, Haus 2, 10115 Berlin Room: 1.17, phone: 0049(0)302093 82492 (new number!!) Physics Dep. Humboldt University Berlin Newtonstr. 15 12489 Berlin Room: 3.412, phone: 0049(0)302093 7934 http://people.physik.hu-berlin.de/~lindner/index.html -----------------------------------------------------

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Last call: abstract submission for the 2024 Neuroinformatics Assembly
by Helena Ledmyr June 7, 2024

June 7, 2024

Join the INCF community at the Neuroinformatics Assembly 2024 in Austin, Texas, Sept 23-27! This year's theme is "Brain meets AI: pioneering the future of neuroinformatics". We have two days of training courses after the main conference, see all the sessions at https://neuroinformatics.incf.org/2024/sessions. See the conference topics and submit your abstract today at bit.ly/INCFabstracts We hope to see you in Austin! ----------------------------- Helena Ledmyr, PhD *Director* *Development and Communications* <https://neuroinformatics.incf.org/> International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels väg 15A, SE-171 77 Stockholm. Sweden Email: helena.ledmyr(a)incf.org Phone: +46 8 524 870 35 incf.org

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ReLab: Rewilding Ethology Laboratory, Konstanz, August 26-30 2024
by Mateusz Kostecki June 7, 2024

June 7, 2024

Hello! We are super happy to announce our next event, organized in collaboration between us, Center for the Advanced Study of Animal Behaviour, University of Konstanz and Max Planck Institute of Animal Behaviour! Are you ready for an expedition into the multifarious world of animal behaviour, where the lab meets the wild? Join us for RELab, *a unique experimental workshop in the scenic location of Lake Constance, Germany.* Unlike well-established scientific frameworks relying on synthetic stimuli, working with real, complex naturalistic stimuli presents unique challenges in tractability, interpretability, and relevance. This workshop will bring together* 16 exceptional early-career scientists and 5 renowned principal investigators in the fields from systems neuroscience to ethology*, to tackle conceptual and practical challenges in analyzing natural behaviours. RELab is not just about conventional lectures; it’s about *prototyping paradigms and hacking them together in both natural and controlled environments*. RELab is designed as a dialogue and a collective journey of discovery. For 5 days, participants will engage in: - Naturalist hikes and field experiments, exploring the natural habitats around Lake Constance (Bodensee). - Laboratory sessions employing advanced technologies such as virtual reality, collaborative activities integrating field and lab perspectives in real-time. - Thought-provoking talks and discussions with leading experts, aiming to build a new understanding of natural behaviours. Come enjoy the beautiful Bodensee region for an adventure of intellectual exploration, collaborative discovery, and vibrant community building. RELab is supported by the Centre for the Advanced Study of Collective Behaviour (CASCB) and Nencki Open Lab and it will be hosted by the Max Planck Institute of Animal behaviour, ensuring a high-quality, inclusive, and stimulating environment. Together, we aim to lay the groundwork for achieving new meaningful insights into behaviour in a complex world where standardized procedures may not exist. *Rewilders* Anna Stöckl (CASCB, Dept. of Biology, Uni Konstanz) Armin Bahl (MPI-AB, CASCB, Dept. of Biology, Uni Konstanz) Einat Couzin-Fuchs (MPI-AB, CASCB, Dept. of Biology, Uni Konstanz) Katja Reinhard (International School for Advanced Studies, Trieste) Raghavendra Gadagkar (Indian Institute of Science, Bengaluru) *Where, When, and How* RELab will be held on the Lake of Constance, Germany, 26-30 August 2024 (arrival on August 25, departure on August 31). The fee is EUR 750, and includes accommodation in shared double rooms at the venue and all meals for the duration of the workshop (breakfasts, lunches and dinners); it also includes dinner on the night before the workshop begins. We are securing funds for fee waivers, please specify in the registration form if you need one. PhD students and postdocs from systems neuroscience or animal behavior, as well as related disciplines, are encouraged to apply. We will also consider exceptional applications from pre-PhD students. How to apply: The application form is available here https://docs.google.com/forms/d/e/1FAIpQLSftN3DG-PKhaqN30Jmgia4_3YKQJoL6g_R…. . The deadline for application is 24 June 2024. For inquiries, please contact the organizers. *Organizers:* August Paula (MPI-AB, CASCB, Dept. of Biology, Uni Konstanz) Cyrill Fromm (MPI-AB, CASCB, Dept. of Biology, Uni Konstanz) Iacopo Hachen (MSCA Fellow, MPI-AB, Dept. of Biology, CASCB, Uni Konstanz) Kajal Kumari (MPI-AB, CASCB, Dept. of Biology, Uni Konstanz) Mateusz Kostecki (Nencki Institute) Pavan Kaushik (MPI-AB, CASCB, Dept. of Biology, Uni Konstanz) Ruiheng Wu (MPI-AB, CASCB, Uni Konstanz) Best! NOL Team -- --- Mateusz Kostecki PhD Student Knapska Laboratory Nencki Institute 02-093 Warsaw, Pasteura 3, Poland https://twitter.com/mtkostecki https://evolvingbehavior.blog/

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Research software engineer position at Zuckerman Institute (Columbia University)
by Matthew R. Whiteway June 5, 2024

June 5, 2024

Columbia University's Zuckerman Mind Brain Behavior Institute is seeking a research software engineer to work closely with both computational and experimental neuroscience labs within the Zuckerman Institute ( https://zuckermaninstitute.columbia.edu/) and the International Brain Lab ( https://www.internationalbrainlab.com/) to help develop and maintain cutting edge software tools for the analysis of large-scale behavioral video data. Other responsibilities include: • Assist labs with deploying this software in their data processing pipelines • Respond to user issues provided through various channels (Github issues, Discord, Slack) by providing bug fixes • Engage in software dissemination efforts including written documentation, video tutorials, and assisting with workshops • Assist machine learning researchers in incorporating new algorithms into the software Please see the job posting for more information: https://apply.interfolio.com/147471 Matt Whiteway Associate Research Scientist, Zuckerman Institute, Columbia University Data Scientist, International Brain Laboratory

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Lipari School on Computational Neuroscience: Model, Biology and Clinical Application
by Jolivet, Renaud (MACSBIO) June 5, 2024

June 5, 2024

(Sent on behalf of the organisers.) Dear Colleagues, it is with great pleasure that we invite you to attend the "Lipari School on Computational Neuroscience: Model, Biology and Clinical Application," to be held from 25 to 31 August 2024 on the beautiful island of Lipari, Italy. This prestigious event will bring together internationally renowned experts in the fields of neuroscience and biology and will discuss computational neuroscience, bioinformatics and their clinical applications. It will be a unique opportunity to deepen our knowledge, share experiences and discuss the latest research and innovations in these fascinating fields. The school programme will include: - Lectures given by top-notch lecturers. - Interactive workshops and practical sessions. - Roundtables on topical issues and future challenges. - Networking opportunities with professionals and researchers from all over the world. Lipari, with its breathtaking landscape and rich cultural history, will provide an ideal environment to stimulate scientific discussions and create new collaborations. Please visit our website [Lipari School - J.T. Schwartz International School for Scientific ...Lipari Schoolhttps://liparischool.it<https://www.google.it/url?sa=t&source=web&rct=j&opi=89978449&url=https://li…>] for further details on the program, registration and accommodation options. We are certain that the "Lipari School on Computational Neuroscience" will be an enriching and stimulating experience, and we sincerely hope to welcome you to Lipari this August. Please spread the word about this initiative among your students, PhD students and young researchers, so that they can take advantage of this valuable opportunity for training and professional growth. Kind regards, [cid:C2F4D388-6151-4EAD-AF66-A845749B3F61] Dott.ssa Rosa Musotto Institute for Biomedical Research and Innovation (IRIB) National Research Council (CNR) Via Leanza, Mortelle 98164 Messina - Italy rosy.musotto(a)irib.cnr.it<mailto:rosy.musotto@irib.cnr.it> romusotto(a)unime.it<mailto:romusotto@unime.it>

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NEST Conference 2024 — Register by Friday!
by Hans Ekkehard Plesser June 4, 2024

June 4, 2024

Dear Colleagues, We are looking forward to an exciting Virtual NEST Conference 2024 on Monday/Tuesday 17./18. June 2024. This years program includes keynotes by Tadashi Yamazaki, University of Electro-Communications, Japan Diversity and inclusion: Distributed simulation of multiple brain and body models in multiple simulators on multiple computers across multiple organizations Benedetta Gambosi, University of Pavia A multiarea model predicts the changes in thalamocortical beta oscillations caused by dopamine depletion in basal ganglia and cerebellum Tobias Gemmeke, RWTH Aachen Accelerated Simulation of Biological Neural Networks Behnam Ghazinouri, Ruhr-Universität Bochum The attractor dynamics of behavioral flexibility in spatial and reversal learning complemented by contributed talks, posters and a workshop Introducing Arbor. For the full program an to register, please see https://nest-simulator.org/conference. Registration deadline is this FRIDAY, 7 June 2024. We are looking forward to seeing you at the NEST Conference 2024! Hans Ekkehard Plesser -- Prof. Dr. Hans Ekkehard Plesser Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

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Post-doc position [LAST CALL]: How long-term memories affect decision making and rule selection?
by Pablo Jercog June 4, 2024

June 4, 2024

A postdoc position is available at the Department of Functional and Systems Neurobiology of the Cajal Institute (https://cajal.csic.es/en/home/) part of the Spanish National Research Council (CSIC) in collaboration with the Department of Engineering at the University of Cambridge. The aim of this position is to develop a new framework for the analysis and interpretation of animal behavior and electrophysiological data from a high-throughput memory-based behavioral paradigm ( https://www.frontiersin.org/articles/10.3389/fnbeh.2020.00064/full) developed in the Jercog Lab. Such a framework will involve different theories and modelling approaches such as reinforcement learning, stochastic decision processes, and history-dependent biases over a range of timescales from seconds to months, under the co-supervision of Yashar Ahmadian <https://cbl.eng.cam.ac.uk/ahmadian/>, University of Cambridge. The overarching aim of the project is to understand how long-term memories affect the decision making process in a volatile environment, focusing in particular on the hippocampal contribution to control (e.g. Lengyel & Dayan 2008 <https://proceedings.neurips.cc/paper_files/paper/2007/file/1f4477bad7af3616…>, Stachenfled et al. 2017), and using approaches such as rational control (Wu et al 2020 <https://www.pnas.org/doi/full/10.1073/pnas.1912336117>) to infer the internal beliefs and models used by animals in the task. Our lab is part of a larger network of Spanish neuroscience institutes including the CINC <https://www.cinc.csic.es/research-areas/>, the Neurotech <https://espanadigital.gob.es/lineas-de-actuacion/spain-neurotech> and the IN <https://in.umh-csic.es/en/>. The institute is located in the center of Madrid, one of the most exciting cities in the south of Europe, well connected with the rest of the world. Candidates should have a Ph.D. in computational neuroscience or a related field. Prior experience with the analysis of animal behavior, neuroimaging, machine learning, and/or computational modeling will be valued. Competitive financial support is provided by the Spanish Ministry of Science. *INITIAL APPOINTMENT:* two years. *APPLICATION:* Send a curriculum and motivation letter with a list of three contacts for recommendation letters to pjercog(a)gmail.com. Informal inquiries are welcome. *DEADLINE:* applications will start to be reviewed on June 17th until the position is filled. *STARTING DATE:* before September 2024. -- Pablo Jercog, Ph.D. Team Leader Instituto Cajal, CSIC Avda. del Doctor Arce, 37 (Room C-11) Madrid, Madrid, 28002, Spain cell: +34 620562808 email: pjercog(a)gmail.com Lab webpage <https://sites.google.com/view/pablojercogteam/>

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Call for contribution and registration for Systems Vision Science Virtual Symposium July 12, 2024
by Pavlovic, Maria June 4, 2024

June 4, 2024

Systems Vision Science Virtual Symposium: July 12th, 2024 -------------------------------- <https://summerschool.lizhaoping.org/symposium-2024/> Systems Vision Science Virtual Symposium takes place on July 12th, 2024, 15:00-19:00 German time, as the end of the <https://summerschool.lizhaoping.org/virtual-systems-vision-science-summer-s chool-symposium-2024/> Systems Vision Science Virtual Summer School. This summer school and symposium are the virtual editions of the onsite <https://summerschool.lizhaoping.org/> summer school and symposium in 2023. We invite contribution and free registrations for this symposium. The presentations at the symposium will include two keynote speeches (30 minutes each) and contributed speeches (15 minutes each). The topics of the presentations will be any topic of <https://www.lizhaoping.org/Systems-Vision-Science.html> Systems Vision Science, which combines computational, behavioral, and neuroscience methods to discover and investigate functions and algorithms for vision in various brain regions and their implementations in neural circuits. -------------------------------- To contribute or register, please fill out our registration form (including an abstract for contribution), which can be found here: <https://summerschool.lizhaoping.org/wp-content/uploads/2024/06/Form-to-regi ster-or-submit-a-contribution-to-the-SVS-symposium-2024.docx> https://summerschool.lizhaoping.org/Form-to-register-or-submit-a-contributio n-to-the-SVS-symposium-2024.docx and send the filled form to svs.summerschool(a)tue.mpg.de <mailto:svs.summerschool@tue.mpg.de> Please direct inquiries to svs.summerschool(a)tue.mpg.de <mailto:svs.summerschool@tue.mpg.de> . -------------------------------- Organizing Team Li Zhaoping Maria Pavlovic Junhao Liang Ali Gholamzadeh Max Planck Institute for Biological Cybernetics University of Tuebingen www.lizhaoping.org <http://www.lizhaoping.org>

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Abstracts closing Friday, early bird reg, & more - INCF Neuroinformatics Assembly 2024
by Heather Topple June 4, 2024

June 4, 2024

Hello! We at INCF would appreciate it if you could forward the information below to your relevant networks in neuroscience, AI, computer and data science. Thank you! /Heather INCF Project Assistant *Join us at the INCF Neuroinformatics Assembly 2024 <https://neuroinformatics.incf.org/> on Sep 23-25 at the University of Texas at Austin!* The meeting is followed by 3 training courses: Driving collaboration in neurophysiology with NWB and DANDI, Introduction to reproducible neuroimaging data processing and analysis, and DataJoint pipelines for your neuroscience experiments on Sep 26-27. The INCF Assembly is a unique venue where neuroscience standards developers, infrastructure providers, and software developers have the opportunity to interact with the research community to share the latest advancements in neuroinformatics. This year's theme Brain Meets AI: Pioneering the Future of Neuroinformatics Abstract submission <https://neuroinformatics.incf.org/abstract-submission> and early bird registration <https://neuroinformatics.incf.org/register> are open - make sure to register before Jun 28 to get the early bird price! *Abstract submission is open until Fri Jun 7 via this link <https://neuroinformatics.incf.org/abstract-submission>.* Note: You need to be signed in to submit an abstract, but you don’t need to be an INCF member to create an account. Our keynote speakers are Elisabeth Bik (Microbiome Digest), Timo Dickscheid (Jülich Research Cente), Hanchuan Peng (SEU-ALLEN Joint Center), Danilo Bzdok (Mila - Quebec Artificial Intelligence Institute), and Viktor Jirsa (Institut de Neurosciences des Systemès). See you at Assembly 2024! /The INCF Team ---------------------------- Heather Topple, BSc *Project Assistant* *Development and Communications* <https://neuroinformatics.incf.org/> International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels väg 15A, SE-171 77 Stockholm. Sweden <https://www.google.com/maps/search/Nobels+v%C3%A4g+15A,+SE-171+77+Stockholm…> Email: heather(a)incf.org Phone: +46 085 248 70 65 incf.org neuroinformatics.incf.org

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World wide VVTNS series: Wednesday, June 5 at 11am (EDT), Stephanie Palmer, University of Chicago | Using ML tools in neuroscience to define optimality in complex natural behaviour
by David Hansel June 2, 2024

June 2, 2024

[image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Stephanie Palmer University of Chicago on the topic of *Using ML tools in neuroscience to define optimality * *in complex natural behaviour* The lecture will be held on zoom on *June 5, 2024*, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: *Biological systems must selectively encode partial information about the environment, as dictated by the capacity constraints at work in all living organisms. For example, we cannot see every feature of the light field that reaches our eyes; temporal resolution is limited by transmission noise and delays, and spatial resolution is limited by the finite number of photoreceptors and output cells in the retina. Classical efficient coding theory describes how sensory systems can maximize information transmission given such capacity constraints, but it treats all input features equally. Not all inputs are, however, of equal value to the organism. Our work quantifies whether and how the brain selectively encodes stimulus features, specifically predictive features, that are most useful for fast and effective movements. We have shown that efficient predictive computation starts at the earliest stages of the visual system in the retina. We borrow techniques from machine learning, statistical physics, and information theory to assess how we get terrific, predictive vision from these imperfect (lagged and noisy) component parts. In broader terms, we aim to build a more complete theory of efficient encoding in the brain, and along the way have found some intriguing connections between approaches to coarse graining in biology, machine learning, and physics. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. 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 ᐧ ᐧ ᐧ

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Post-doc position available - Rennes, France - Neuro-inspired models of recurrent epileptic seizures
by fabrice.wendling＠inserm.fr May 31, 2024

May 31, 2024

Post-doc position offer (ref: INSERM-RECSEIZ) Neuro-inspired models of recurrent epileptic seizures for the investigation of mechanisms underlying repeated tDCS sessions Context. Epilepsy refers to a neurological disorder that affects about 1% of the general population. Recent findings indicate that non-invasive brain transcranial current stimulation (tCS) is safe and of therapeutic promise in epilepsy. However, it is not yet indicated as a standard treatment due to major scientific limitations: unknown mechanisms of action, insufficient account for patient-specific factors, poor understanding of short- and long-term effects. The ambition of the GALVANI Project (ERC-SyG 2019; 2020-26) is to transform the care of a large fraction of patients living with drug-resistant epilepsies by solving a fundamental problem: to efficiently target and control large-scale epileptic brain networks with tCS-induced neuromodulatory weak electric fields (https://www.galvani-lab.eu/) Rationale. The mechanisms underlying long-term effects of neuromodulation induced by weak electric fields remain poorly understood. To gain insights into these mechanisms, a new generation of experimentally-validated computational “hybrid” brain models is being developed in the project. These models combine neurophysiological models of neuronal networks with biophysical models of weak field effects. We recently developed a full human computational brain model able to generate realistic surface EEG and intracranial signal similar to those recorded in epileptic patients (see Wendling et al., CLINPH, 2024). Objective. The objective of the proposed research position is to design novel neuro-inspired models able to explain why and how the repetition of tDCS sessions (over days and weeks) impacts the seizure occurrence frequency. Methods. Mesoscale (neuronal population level) computational models allowing for the simulation of a single epileptic seizure will be used. They will be extended to account for the recurrence of seizures, as observed in human focal epilepsies. Then, tCS-induced weak electric fields will be integrated into the models and their cumulative effects on seizure occurrence will be studied, explaining why some patients respond to multi-sessions of tDCS while others do not. Models will use the Neural Mass Model (NMM) formalism. They will be developed in Python. They will extend models developed in the lab. Strong background is available. Scientific domains. Engineering (computational, biomedical); Physics (biophysics, electromagnetism); neuroscience; Medicine (neurology); Computer Science (computing in maths, engineering and Medicine) Scientific environment. GALVANI involves three partners: LTSI-Inserm (Rennes), AMU-APHM (Marseille) and Neuroelectrics (Barcelona). It is intended to develop the next generation of brain stimulation solutions. GALVANI can be viewed as a distributed lab (Rennes-Barcelona-Marseille) working under a common policy to ensure coherence of research and intense collaboration and cross-fertilization. Fellows will be co-supervised in a unique, shared environment with exposure to science, technology and clinical experience. Candidate profile. The research project is at the interface between biomathematics (neuro-inspired models), biophysics (electric field models), and neuroscience/neurology (epilepsy). The Post-doc fellow (PhD+experience) will preferably have a strong background in computational neuroscience/systems biology or in electrical engineering with experience in bio-signal processing. Knowledge in electrophysiology and/or EEG analysis would be an asset. The post-doc fellow will join a multidisciplinary team including research scientists in biomedical engineering, neurophysiological modeling, bio-physics, signal processing, electrophysiology, neurology. Contract The position will be opened Sep. 1st, 2024. The contract is for 2 years with possible extension (1 year). The competitive salary will be according to experience (2600 Euros net, minimum). The candidate will also have access to the French system benefits. Location in the city of Rennes, France. LTSI-Inserm laboratory, University of Rennes. In addition, the post-doc fellow will have the opportunity to perform visits and to actively collaborate with engineers, researchers and clinicians of the Marseille & Barcelona groups. Contact (please provide resume, cover letter and 2 reference letters) Fabrice Wendling (DR Inserm, LTSI, France) Email: fabrice.wendling(a)inserm.fr. https://perso.univ-rennes1.fr/fabrice.wendling

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Postdoctoral research position Rennes, France - Neuro-inspired models of recurrent epileptic seizures
by fabrice.wendling＠inserm.fr May 31, 2024

May 31, 2024

Post-doc position offer (ref: INSERM-RECSEIZ) Neuro-inspired models of recurrent epileptic seizures for the investigation of mechanisms underlying repeated tDCS sessions Context. Epilepsy refers to a neurological disorder that affects about 1% of the general population. Recent findings indicate that non-invasive brain transcranial current stimulation (tCS) is safe and of therapeutic promise in epilepsy. However, it is not yet indicated as a standard treatment due to major scientific limitations: unknown mechanisms of action, insufficient account for patient-specific factors, poor understanding of short- and long-term effects. The ambition of the GALVANI Project (ERC-SyG 2019; 2020-26) is to transform the care of a large fraction of patients living with drug-resistant epilepsies by solving a fundamental problem: to efficiently target and control large-scale epileptic brain networks with tCS-induced neuromodulatory weak electric fields ( <https://www.galvani-lab.eu/> https://www.galvani-lab.eu/) Rationale. The mechanisms underlying long-term effects of neuromodulation induced by weak electric fields remain poorly understood. To gain insights into these mechanisms, a new generation of experimentally-validated computational hybrid brain models is being developed in the project. These models combine neurophysiological models of neuronal networks with biophysical models of weak field effects. We recently developed a full human computational brain model able to generate realistic surface EEG and intracranial signal similar to those recorded in epileptic patients ( <https://pubmed.ncbi.nlm.nih.gov/38520800/> see Wendling et al., CLINPH, 2024). Objective. The objective of the proposed research position is to design novel neuro-inspired models able to explain why and how the repetition of tDCS sessions (over days and weeks) impacts the seizure occurrence frequency. Methods. Mesoscale (neuronal population level) computational models allowing for the simulation of a single epileptic seizure will be used. They will be extended to account for the recurrence of seizures, as observed in human focal epilepsies. Then, tCS-induced weak electric fields will be integrated into the models and their cumulative effects on seizure occurrence will be studied, explaining why some patients respond to multi-sessions of tDCS while others do not. Models will use the Neural Mass Model (NMM) formalism. They will be developed in Python. They will extend models developed in the lab. Strong background is available. Scientific domains. Engineering (computational, biomedical); Physics (biophysics, electromagnetism); neuroscience; Medicine (neurology); Computer Science (computing in maths, engineering and Medicine) Scientific environment. GALVANI involves three partners: LTSI-Inserm (Rennes), AMU-APHM (Marseille) and Neuroelectrics (Barcelona). It is intended to develop the next generation of brain stimulation solutions. GALVANI can be viewed as a distributed lab (Rennes-Barcelona-Marseille) working under a common policy to ensure coherence of research and intense collaboration and cross-fertilization. Fellows will be co-supervised in a unique, shared environment with exposure to science, technology and clinical experience. Candidate profile. The research project is at the interface between biomathematics (neuro-inspired models), biophysics (electric field models), and neuroscience/neurology (epilepsy). The Post-doc fellow (PhD+experience) will preferably have a strong background in computational neuroscience/systems biology or in electrical engineering with experience in bio-signal processing. Knowledge in electrophysiology and/or EEG analysis would be an asset. The post-doc fellow will join a multidisciplinary team including research scientists in biomedical engineering, neurophysiological modeling, bio-physics, signal processing, electrophysiology, neurology. Contract The position will be opened Sep. 1st, 2024. The contract is for 2 years with possible extension (1 year). The competitive salary will be according to experience (2600 Euros net, minimum). The candidate will also have access to the French system benefits. Location in the city of Rennes, France. LTSI-Inserm laboratory, University of Rennes. In addition, the post-doc fellow will have the opportunity to perform visits and to actively collaborate with engineers, researchers and clinicians of the Marseille & Barcelona groups. Contact (please provide resume, cover letter and 2 reference letters) Fabrice Wendling (DR Inserm, LTSI, France) Email: <mailto:fabrice.wendling@inserm.fr> fabrice.wendling(a)inserm.fr. <https://perso.univ-rennes1.fr/fabrice.wendling> https://perso.univ-rennes1.fr/fabrice.wendling --- Fabrice WENDLING DR Inserm LTSI, Inserm UMR1099 - Université de Rennes Co-directeur équipe Cinetyks Campus de Beaulieu - Bât. 22 35042 Rennes Cedex - France - Tel: +33 2 23 23 56 05 / 62 20 - +33 6 58 25 75 30 Email: <mailto:fabrice.wendling@inserm.fr> fabrice.wendling(a)inserm.fr <https://www.ltsi.univ-rennes1.fr/> https://www.ltsi.univ-rennes1.fr/ <https://perso.univ-rennes1.fr/fabrice.wendling> https://perso.univ-rennes1.fr/fabrice.wendling <https://www.galvani-lab.eu/> https://www.galvani-lab.eu/

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Postdoctoral Research Position - University of Las Palmas de Gran Canaria, Spain
by Carmen Paz Suárez Araujo May 30, 2024

May 30, 2024

Postdoctoral Research Position Institute: Institute of Cybernetic, Enterprise and Society (IUCES). University of Las Palmas de Gran Canaria (ULPGC) City: Las Palmas de Gran Canari, Canary Islands, Spain Closing Date: 7 June 2024 Dear Colleagues, The Research Division of Computational Neuroscience (COMCIENCIA) belonging to the IUCES has a PostDoc position in one of our Projects. We are recruiting a team of outstanding researchers from Artificial Neural Networks, Computational Neuroscience, Clinical Decision Support Systems using Intelligent Computing and AI/ML, to work with us on achieving the project’s ambitious objectives. The main tasks will be concerning: - Development and supervision of research in the area of "Artificial and Biological Neural Networks: Design of New Architectures". - Supervision and development of research in the field of Intelligent Computing Systems and their application for Designing and Developing Clinical Decision Support Systems for diagnosis and prognosis of neurocognitive pathologies associated with aging (dementias), infectious diseases (COVID) necessarily adjusted to the project in which he/she is hired. - Scientific dissemination of the research developed. For further information and to apply, please see: https://euraxess.ec.europa.eu/jobs/240289 If you've any question, please you don't hesitate to contact with Prof. Carmen Paz Suárez Araujo Best Regards Carmen Paz Suárez Araujo Catedrática de Universidad/Full Professor. Directora de la División de Investigación de Neurociencia Computacional. Directora de la Catedra de Neurociencia Computacional, Marie Curie Instituto de Cibernética, Empresa y Sociedad (IUCES) Universidad de Las Palmas de Gran Canaria tel. +34928458725; +34629822298 carmenpaz.suarez(a)ulpgc.es www.ulpgc.es ORCID 0000-0002-8826-0899 EDIFICIO DE INFORMÁTICA, OFFICE 2-5 CAMPUS UNIVERSITARIO DE TAFIRA S/N 35017, LAS PALMAS DE GC [Universidad de Las Palmas de Gran Canaria]

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Postdoc + PhD positions in ERC funded project ACTOR
by Constantin Rothkopf May 30, 2024

May 30, 2024

The lab of Constantin Rothkopf (https://www.pip.tu-darmstadt.de/) at the Centre for Cognitive Science @ TU Darmstadt is looking for PhD and Postdoc applicants interested in becoming part of the ERC project ACTOR. While some positions are focused on human behavioral experiments others are more focused on computational work. The goal of this project is to use both human behavioral experiments and computational modeling to understand human sequential behavior in tasks including continuous psychophysics, visual behaviors such as gaze selection and blinking, sensorimotor control involving intuitive physics, navigation, and food preparation in the framework of sequential decision making/planning/optimal control/RL. Our group is part of the Centre for Cognitive Science and the AI Center at TU Darmstadt, which are home to an internationally outstanding group of PIs and junior researchers working in the areas of computational cognitive science, machine learning, and artificial intelligence. We are part of several research consortia and engage in multiple fruitful research collaborations. The lab has state of the art equipment for eye and body tracking, VR, naturalistic task monitoring, psychophysics and access to one of the most generous computing infrastructures in Germany. We foster an inclusive, supportive, and collaborative environment driven by scientific curiosity and mutual respect and we maintain close interactions with other research groups including joint lab meetings. While some of the positions are geared towards more behavioral work others are strongly focused on computational modeling. Applicants may therefore have a background in computer science, cognitive science, neuroscience, psychology, engineering, or related fields. Don’t hesitate to contact me for more details. Please send the official application to the dean of the department of human sciences dekanat(a)humanw.tu-darmstadt.de including a CV, a two page cover letter explaining your research interests, motivation, and your long-term career goals, and contact information for 2-3 references in a single pdf file. The code for the PhD position is “167” and for the Postdoc position “168”. Applications will be reviewed on a continuing basis. The Frankfurt-Darmstadt metropolitan area is located in the heart of Europe and is one of the most international regions in Germany with a diverse community and rich culture repeatedly earning high rankings in worldwide surveys of quality of living. Frankfurt recently reached 7th place worldwide in a ranking of attractiveness by the Economist and Darmstadt has repeatedly ranked among the top innovation driving cities in Germany. Finally, to get a better idea about some of our work, here some publications by our group: - Tatai, F., Straub, D., Rothkopf, C. A. (2023). People use Newtonian physics in intuitive sensorimotor decisions under risk. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 45, No. 45). https://escholarship.org/content/qt0rg3z8f6/qt0rg3z8f6_noSplash_c1cad85c077… - Kadner, F., Willkomm, H., Ibs, I., & Rothkopf, C. (2023). Finding your Way Out: Planning Strategies in Human Maze-Solving Behavior. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 45, No. 45). https://escholarship.org/content/qt94t1t8kw/qt94t1t8kw_noSplash_3a5e798a923… - Kessler, F., Frankenstein, J., Rothkopf, C. A. A dynamic Bayesian actor model explains endpoint variability in homing tasks, bioRxiv, 2022. https://www.biorxiv.org/content/10.1101/2022.11.09.515854v1 - Straub, D., & Rothkopf, C. A. (2022). Putting perception into action with inverse optimal control for continuous psychophysics, eLife 11, e76635. https://elifesciences.org/articles/76635 - Schultheis, M., Straub, D., & Rothkopf, C. A. (2021). Inverse optimal control adapted to the noise characteristics of the human sensorimotor system. Advances in Neural Information Processing Systems, 34, 9429-9442. https://proceedings.neurips.cc/paper/2021/hash/4e55139e019a58e0084f194f758f… - Neupärtl, N., Tatai, F., & Rothkopf, C. A. (2020). Intuitive physical reasoning about objects’ masses transfers to a visuomotor decision task consistent with Newtonian physics. PLoS computational biology, 16(10), e1007730. https://doi.org/10.1371/journal.pcbi.1007730 - Hoppe, D., & Rothkopf, C. A. (2019). Multi-step planning of eye movements in visual search. Scientific reports, 9(1), 1-12. https://doi.org/10.1038/s41598-018-37536-0 - Hoppe, D., & Rothkopf, C. A. (2016). Learning rational temporal eye movement strategies. Proceedings of the National Academy of Sciences, 113(29), 8332-8337. https://doi.org/10.1073/pnas.1601305113 All the best, Constantin Rothkopf https://www.pip.tu-darmstadt.de/ http://www.cogsci.tu-darmstadt.de/ https://hessian.ai/

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Postdoctoral Research Fellow - University of Stirling, UK
by Elena Gheorghiu May 30, 2024

May 30, 2024

Postdoctoral Research Fellow Department: Psychology, University of Stirling, Scotland, United Kingdom Closing Date: 10 June 2024 Duration: fixed term 27 months Salary: Grade 7 (£37,099 - £44,263 p.a.) A cross-disciplinary team of researchers from the Universities of Stirling, York, Cardiff, Manchester, and Southampton are working together on an EPSRC-funded project, Edgy Organism, to develop a novel end-to-end neuromorphic design approach drawing inspiration from how data is processed and represented in the brain and build an efficient hardware architecture based on spiking neural networks. The project aims to develop novel computing solutions, that can autonomously and reliably detect illegal or harmful activities in crowded public spaces, with minimum intrusion of personal space and privacy. We are recruiting a team of outstanding researchers from Visual Neuroscience, Psychology, Edge Computing, AI/ML, and Neuromorphic Engineering, to work with us on achieving Edgy Organism project’s ambitious objectives. As part of this project, Psychology, Faculty of Natural Sciences, University of Stirling is offering a fixed term (27 months) full-time Postdoctoral Research Fellow position to work with Dr Elena Gheorghiu and the cross-disciplinary team of researchers. Candidates should have a PhD, or equivalent research experience, in Computer Vision/ Computer Science, Visual Neuroscience, Psychology, Physics, Electronic Engineering, Mathematics, or similar technical area and possess specialist knowledge in computer vision/ image processing/ object detection and tracking, and machine learning to work with established software/ research programmes. For further information and to apply, please see: https://www.stir.ac.uk/about/work-at-stirling/list/details/?jobId=4051&jobT… Informal enquiries can be made to Dr Elena Gheorghiu, elena.gheorghiu(a)stir.ac.uk<mailto:elena.gheorghiu@stir.ac.uk> --------------------------------------------------------- Dr Elena Gheorghiu University of Stirling, Faculty of Natural Sciences Department of Psychology, Cottrell building Stirling, FK9 4LA, Scotland, UK Tel: +44 (0) 1786 467649 email: elena.gheorghiu(a)stir.ac.uk<mailto:elena.gheorghiu@stir.ac.uk> https://www.stir.ac.uk/people/257378 ________________________________ Scotland’s University for Sporting Excellence The University of Stirling is a charity registered in Scotland, number SC 011159

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Postdoctoral position on modelling C. elegans for OpenWorm project at University College London
by Padraig Gleeson May 30, 2024

May 30, 2024

- Apologies for cross postings - Applications are open now for a 3 year postdoctoral position (Research Fellow / Senior Research Fellow) at University College London in the lab of Padraig Gleeson (https://openneuroai.org) The successful applicant will contribute to the goals of the OpenWorm project, to create a cell by cell model of the nematode C. elegans incorporating its full neuronal network and a 3D body/environment simulation (https://openworm.org) The role will involve contributing to existing and creating new software packages which facilitate the goals of the OpenWorm project. It will also involve carrying out research into the physiology, anatomy and behaviour of C. elegans, to ensure the simulations are biologically realistic. Code will be open source from the start and active interaction with the community of researchers in this area will be required. The ideal candidate will have a PhD in neuroscience or a related field, and experience in developing open source tools for investigating (neuro)biological function, a publication record demonstrating the use of such tools in original scientific research, and an active interest in making their research accessible to the wider community. For appointment to Grade 8 (Senior Research Fellow), the candidate will have substantial postdoctoral experience, a strong publication track record in this area, evidence of the ability to sustain independent research, and an established reputation in their field as a proponent of open science. UCL is Europe's research powerhouse in neuroscience, with more than twice as many publications and citations as any other European institution, based right in the heart of London. It is one of the best international environments to carry out neuroscience research. Please contact p.gleeson(a)ucl.ac.uk for more details or questions related to the role. The position is funded for 3 years as part of an EPSRC Open Fellowship grant. The closing date for applications is 19th June 2024. Apply here <https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?jobId=23333>, including a cover letter stating why you are the ideal candidate for the role. ----------------------------------------------------- Padraig Gleeson Room 321, Anatomy Building Department of Neuroscience, Physiology & Pharmacology University College London Gower Street London WC1E 6BT United Kingdom +44 207 679 3214 p.gleeson(a)ucl.ac.uk -----------------------------------------------------

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Information theory workshop at CNS*2024 -- call for contributed talks
by Joseph Lizier May 30, 2024

May 30, 2024

Dear all, We are pleased to announce that the Workshop on Methods of Information Theory in Computational Neuroscience<https://bit.ly/cns2024itw> will be held once again at the 33rd Annual Computational Neuroscience Meeting (CNS*2024<https://www.cnsorg.org/cns-2024> conference), in Natal, Brazil. The workshop will be held during sessions over the final day of the main conference, July 24, 2024. Our confirmed speakers so far include the following: * Patricio Orio, University of Valparaíso, Chile * Marilyn Gatica, Northeastern University London, UK * ... more TBA! We would like to call for contributions<https://bit.ly/cns2024itw> of talks. If you are interested in contributing a talk, please send a title and abstract to Marilyn Gatica (marilyn.gatica(a)nulondon.ac.uk<mailto:marilyn.gatica@nulondon.ac.uk>) and Joseph Lizier (joseph.lizier(a)sydney.edu.au<mailto:joseph.lizier@sydney.edu.au>). Earlier submissions and those from female/minority speakers will be prioritised. Please pay attention to the registration for CNS*2024 (deadlines and fees) as workshop registration at least is required for attendance, and see our website https://bit.ly/cns2024itw for more details. We hope you will join us there! Organising Committee: Marilyn Gatica (chair) Joseph Lizier (co-chair) Abdullah Makkeh Michael Wibral Pedro Mediano

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Open PhD position - Brain-inspired computing and Spiking Neural Networks
by Robert Legenstein May 28, 2024

May 28, 2024

The Lab of Robert Legenstein at Graz University of Technology (Austria) https://www.tugraz.at/institute/igi/people/prof-legenstein/ is offering a funded PhD position (Univ. Assistant) in the areas Spiking Neural Networks/Machine Learning/Brain Models/Neuromorphic Hardware. A background in Machine Learning, Computer Science, or Mathematics is desirable, as well as evidence for excellent prior performance as a student. For details and application portal, see https://jobs.tugraz.at/en/jobs/c979f4bb-8292-a539-ff62-6627a4de2995 -- Dr. Robert Legenstein Univ.-Professor Institute of Theoretical Computer Science Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.igi.tugraz.at/legi/ Follow @CompLegenstein on Twitter. ++43/316/873-5824 ----------------------------------

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The Basque ASTROTECH Computational Neuroscience Meeting (Bilbao, June 4-6, 2024)
by De Pitta, Maurizio May 28, 2024

May 28, 2024

Dear Colleagues, Please share and disseminate among your networks. We are happy to announce the Basque ASTROTECH Computational Neuroscience Meeting, which will be held June 4–6, 2024, at the Basque Center for Applied Mathematics (BCAM) in Bilbao, Spain. The Basque ASTROTECH Computational Neuroscience Meeting presents state-of-the-art neural and glial data analysis and modeling research by leading neurotech researchers based in the Basque Country (Spain). The Basque ASTROTECH Computational Neuroscience Meeting is sponsored by the H2020 ASTROTECH European Training Network and is an excellent opportunity for young researchers and professionals in the Basque Country, Spain, and internationally to learn about some of the latest advancements in neuron-glial paradigms of brain function at the interface of computational neuroscience, machine learning, and neurotech. Attendance at the meeting is free, but pre-registration is required due to limited seating. For more information: Meeting Website: https://sites.google.com/view/basque-astrotech-cns-workshop Registration Website: https://www.bcamath.org/events/ba-cnm-astrotech/en/registration/ I look forward to meeting you in Bilbao in June. Maurizio De Pitta /////////////////////////////////////////////////////////////////////////////////////////////// The Basque ASTROTECH Computational Neuroscience Meeting Basque Center for Applied Mathematics (BCAM), Bilbao, Spain June 4–6, 2024. /////////////////////////////////////////////////////////////////////////////////////////////// ***************** Day 1 (June 4, 2024) ***************** MORNING SYMPOSIUM: Applied And Functional ModellingMultiscale functional and structural brain networks in health and disease Jesus Cortes (BioCruces Hospital Clinic) Multiscale functional and structural brain networks in health and disease Craig Richter (BCBL–Basque Center On Cognition, Brain and Language) Discovering functional networks using coupled cortical oscillations Paolo Bonifazi (BioCruces Hospital Clinic) Linking hubs, embryonic neurogenesis, transcriptomic, and diseases in human brain networks Maurizio De Pitta (BCAM–Basque Center for Applied Mathematics and the Krembil Research Institute) Neuron-Glial Circuits Across the Cognitive Spectrum AFTERNOON LAB. Modeling Neuron-Glial Interactions: From Tripartite-Synapses to Neuron-Glial Networks. Curator: Maurizio De Pitta (BCAM/Krembil) ***************** Day 2 (June 5, 2024) ***************** MORNING SYMPOSIUM: The Attractor Framework in Computational Neuroscience. Miguel Aguilera (BCAM) Nonequilibrium associative memories in neuroscience and machine learning Daniele De Martino (Biofizika Institute) Feedback Ising models neural networks dynamics Dmitry Sinelshchikov (Biofizika Institute and CSIC-UPV/EHU) Nonlinear dynamics in small groups of Hindmarsh-Rose neurons Gorka Zamora-Lopez, Pompeu Fabra University (UPF) Emergence of modular and hierarchical neural networks driven by learning of external stimuli AFTERNOON LAB. Glial Functional Readouts: Hodgkin-Huxley models and their extension to Glial Calcium Modeling. Curator: Maurizio De Pitta (BCAM/Krembil) ***************** Day 3 (June 6, 2024) ***************** MORNING SYMPOSIUM. Multi-scale Tools to Model the Brain Romina Baila (CODEMART) The Virtual Brain /1: Architectural view over a modeling tool for full brain simulation The Virtual Brain /2: How to Harness The Virtual Brain Capability Christophe Bernard (INSERM and Aix-Marseille University) Digital twin technology to better understand and treat the brain Ignacio Arganda-Carreras (University of the Basque Country, DIPC, and Biofisika Institute) BiaPy: Bioimage analysis workflow for all audiences AFTERNOON LAB. Physics of the Neuron-Glia-Vascular Tissue. Curator: Michelangelo Volpi (BCAM) ----- Maurizio DE PITTA Principal Investigator Neuron-Glia Interactions Lab (NGILab) Krembil Research Institute, 4KD-509 60 Leonard Ave, Toronto, ON M5T 0S8, CA +1.416.603.5800 ext. 3290 This e-mail may contain confidential and/or privileged information for the sole use of the intended recipient. Any review or distribution by anyone other than the person for whom it was originally intended is strictly prohibited. If you have received this e-mail in error, please contact the sender and delete all copies. Opinions, conclusions or other information contained in this e-mail may not be that of the organization. If you feel you have received an email from UHN of a commercial nature and would like to be removed from the sender's mailing list please do one of the following: (1) Follow any unsubscribe process the sender has included in their email (2) Where no unsubscribe process has been included, reply to the sender and type "unsubscribe" in the subject line. If you require additional information please go to our UHN Newsletters and Mailing Lists page. Please note that we are unable to automatically unsubscribe individuals from all UHN mailing lists. Patient Consent for Email: UHN patients may provide their consent to communicate with UHN about their care using email. All electronic communication carries some risk. 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Fwd: Fully funded PhD position in Computational Neuroscience at TU Graz, Austria
by Kerstin Lenk May 24, 2024

May 24, 2024

Hello, We have a *fully funded PhD position in Computational Neuroscience at TU Graz*, Austria, available. The project is in collaboration with the University of Regensburg, Germany. *Period:* October 1st, 2024 – September 30th, 2027 (3 years) *Supervisor: *Kerstin Lenk, Institute of Neural Engineering, TU Graz, Austria *Keywords: **Astrocytes; Blood-Brain Barrier; Endothelial Cells; Major Depressive Disorder; Computational Modeling* *Team:* The Computational Neuroscience lab led by Dr. Kerstin Lenk in the Institute of Neural Engineering ( https://www.tugraz.at/institute/ine/research/team-lenk) at Graz University of Technology (TU Graz) is looking for a creative and enthusiastic PhD student to join the lab! Our research is focused on the computational neuroscience of astrocytes. Broadly, we study how astrocytes interact with neurons and other glial cells. We are looking for a PhD student who is interested in developing a computational model of the BBB in the following project: *Project Description:* Interactions among astrocytes and endothelial cells (EC) forming blood vessels are essential to building a properly functional blood-brain barrier (BBB). Astrocyte-specific signaling molecules modulate tight junctions (TJ) between EC, thereby controlling BBB sealing properties and, thus, the transendothelial blood-brain trafficking of various substances. Any disruption in these events may lead to the onset of brain disorders. Indeed, an impaired morphology of astrocytes and reduced TJ protein expression characterizes the leaky BBB in postmortem brains of major depressive disorder (MDD) patients. Epidemiological data also revealed sex differences in MDD prevalence, with women twice as affected as men. Intriguingly, the disruption of the BBB in female mice induces depression-like behaviors. Thus, there is a high need to investigate sex-dependent cellular and molecular mechanisms that link a leaky BBB with the etiopathogenesis of MDD to identify alternative disease trajectories, which might be targeted by personalized treatments. The project includes experimental and theoretical work, which is highly interconnected, and we will gain much more insights by combining *in vitro*, *in vivo,* and *in silico* studies. The project is funded by FWF (Austrian Science Fund) under the scheme “Weave” (International Projects) and is in collaboration with Dr. Barbara Di Benedetto at the University of Regensburg, Germany. *Candidate:* The candidate should be willing to work on a multidisciplinary project that combines computational modeling and *in vitro*/ *in vivo* experiments in neurosciences. They should have a good level of English, very good mathematical and programming skills, and an interest in neurobiology. *Application*: Please send your application to *kerstin.lenk(a)tugraz.at <kerstin.lenk(a)tugraz.at>* as a single PDF file, including a CV and the contact details of two academic references, *before July 6th, 2024*. Informal inquiries are welcome. -- Ass. Prof. Dr. rer. nat. Kerstin Lenk (she/her) Institute of Neural Engineering Graz University of Technology Stremayrgasse 16/4 8010 Graz Tel.: +43-316-873-30712https://www.tugraz.at/institute/ine/research/team-lenk/ twitter@astrocytenet

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PhD position in neonatal neuroimaging
by Manuel Blesa Cábez May 24, 2024

May 24, 2024

We have a 3’5 years PhD position at the University of Edinburgh in neonatal neuroimaging! The project will investigate the relationship between the neonatal structural connectome and the immune dysregulation in preterm infants. For full details: Elucidating the relationship between the neonatal cerebral connectome and immune dysregulation in preterm infants at University of Edinburgh on FindAPhD.com <https://www.findaphd.com/phds/project/elucidating-the-relationship-between-…> The project will be supervised by Prof James Boardman, Dr Manuel Blesa Cábez (myself) and Prof Riccardo Marioni. The University of Edinburgh is one of the world’s top universities, consistently ranked in the world top 50 and placed 22nd in the 2024 QS World University Rankings. It has an international reputation for innovative research across a wide range of disciplines. The salary is £19,237 per year and the application is open worldwide. Closing date 6 of June! For any informal queries, please don’t hesitate to contact me: manuel.blesa(a)ed.ac.uk

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Postdoc/student workshop at Washington University in St Louis
by Goodhill, Geoffrey May 24, 2024

May 24, 2024

Opportunity for postdocs and senior graduate students! The recently established Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) at Washington University in St. Louis invites applications from postdocs and senior graduate students, who are using primarily theoretical and computational techniques to study the principles of brain organization and function, for its second Computational Neuroscience Next Generation symposium, September 16-17th 2024: https://ctcn.wustl.edu/next-gen-symposium The CTCN will pay travel expenses for successful applicants. Participants will engage with researchers at CTCN-participating departments over two days, including: - Presenting their work during the symposium, which will also feature leading WashU neuroscientists. - One-on-one meetings with faculty. - Informal discussions with the Washington University computational and theoretical neuroscience community. Being selected as a Next Generation Symposium speaker is an exciting opportunity s to share your research with Washington University computational neuroscientists, to receive feedback, to explore postdoctoral opportunities including CTCN postdoctoral fellowships (https://ctcn.wustl.edu/postdoc-fellows) and to form professional and intellectual relationships with peers, mentors and potential future collaborators. The application form is available at https://ctcn.wustl.edu/next-gen-symposium. The application deadline is June 15th. Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 4370 Duncan Ave. St Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

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[Jobs] [Deadline Approaching] Available Ph.D. Position at the intersection of AI / Psychology / Human-Robot Interaction
by Amir Aly May 23, 2024

May 23, 2024

Dear All *Apologies for cross-posting* We are pleased to announce an opportunity for a funded PhD studentship (*Delivering Functional Imagery Training via Generative AI To Improve Access to Effective Psychological Interventions for Health*) at Plymouth University, UK. The closing date for applications is *29**th May 2024 (**midnight, UK time) **(**The difference in tuition fees between national and international students will be waived for excellent international candidates**)*. Join our interdisciplinary team to shape the future of mental health care. *AI models like ChatGPT* fundamentally change the landscape for the automated delivery of psychological interventions. These models will likely make it possible to deliver *psychologically-informed treatment* at scale, meeting a substantial unmet need for these services. This project will develop datasets and software to deliver *Functional Imagery Training (FIT)* via mobile devices and, ultimately, via *embodied agents (robots)*. As a person-centred intervention, FIT presents an interesting challenge: the practitioner or AI must tailor responses to the content of what the 'client' says, and guide mental imagery exercises based on that personal content. By building an interdisciplinary team of psychologists and machine learning experts this project will deliver real-world impact with broad implications for mental healthcare. More details *about the topic *and *how to apply* are available at: https://www.jobs.ac.uk/job/DHA540/phd-studentship-fit-for-all-delivering-fu… <https://www.jobs.ac.uk/job/DHA540/phd-studentship-fit-for-all-delivering-fu…> PhD Studentship: FIT for All: Delivering Functional Imagery Training via Generative AI To Improve Access to Effective Psychological Interventions for Health at University of Plymouth <https://www.jobs.ac.uk/job/DHA540/phd-studentship-fit-for-all-delivering-fu…> jobs.ac.uk are now advertising a PhD Studentship: FIT for All: Delivering Functional Imagery Training via Generative AI To Improve Access to Effective Psychological Interventions for Health. Discover exciting PhD opportunities on jobs.ac.uk. www.jobs.ac.uk If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Programme Manager of Artificial Intelligence Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room A307 Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK ------------------------------ <http://www.plymouth.ac.uk/worldclass>

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Mentors Needed for Neuromatch Academy!
by Courtney Dean May 22, 2024

May 22, 2024

Hello! *I invite you to join Neuromatch Academy as a mentor for our online academies in July! *We have outstanding students from over 100 countries, many of whom lack career connections. If you are passionate about nurturing talent in neuroscience or artificial intelligence, please apply here. We are accepting applicants on a rolling basis. *As a mentor, you will provide advice to students about their academic and professional journeys with just one hour per week.* There is no prior preparation required. Here is what you will do: - Mentor a small group of students matched with your expertise and preferences. - Discuss professional development topics of your preference, such as PhD applications, work-life balance, and careers in academia/industry. - Guide students by sharing your experiences and discussing their questions during sessions, which will occur once a week during the course. We offer three dynamic courses: - Computational Neuroscience <https://neuromatch.io/computational-neuroscience-course/> (July 8-26) - Deep Learning <https://neuromatch.io/deep-learning-course/> (July 8-26) - NeuroAI <https://neuromatch.io/neuroai-course/> (July 15-26) -- *we are especially in need of mentors for this course! * Choose a course aligned with your expertise and interests, and we will match you with students eager to explore that field alongside you. Your commitment can shape the future of these fields. Join us in empowering the next generation of scientists! *To sign up and for more information please visit our mentorship program* *webpage:* https://neuromatch.io/mentoring/ If you have any additional questions, please reach out to mentors(a)neuromatch.io. Best, Avisha & Angelo Co-chairs Professional Development | Neuromatch -- *Courtney Dean (she, her) * Project Manager Schedule a meeting with me! <https://calendly.com/courtney-s-dean> c. 720.371.6559

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Bernstein Conference 2024 - Deadline approaching for contributed talk abstract submission
by Alexander Lammers May 22, 2024

May 22, 2024

Call for Abstracts for the Bernstein Conference 2024 in Frankfurt am Main +++ The Bernstein Network Computational Neuroscience invites proposals for contributed talks and poster presentations of the Bernstein Conference 2024 in Frankfurt am Main. +++ ____ Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries. www.bernstein-conference.de<http://www.bernstein-conference.de> ____ IMPORTANT DATES * Deadline for contributed talk abstract submission: June 5, 2024, 15:00 CEST * Deadline for travel grant applications: June 12, 2024, 15:00 CEST * Deadline for poster abstract submission: July 10, 2024, 15:00 CEST * Bernstein Conference: September 29 – October 2, 2024 ____ ABSTRACTS We invite the computational neuroscience community to submit their abstracts: Submitted abstracts can either be considered as contributed talks or posters. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Further information can be found here: https://bernstein-network.de/bernstein-conference/abstract-submission/ ____ TRAVEL GRANTS To support the participation of young researchers at the Bernstein Conference, the Bernstein Network offers up to 10 Travel Grants, each endowed with 500 €. Further information can be found here: https://bernstein-network.de/bernstein-conference/early-career-scientists/t… ____ INVITED SPEAKERS Dmitriy Aronov (Columbia University, USA) Helen Barron (University of Oxford, UK) Elizabeth Buffalo (University of Washington, USA) Alex Cayco Gajic (Ecole Normale Supérieure, France) Jan Drugowitsch (Harvard University, USA) Jakob Macke (University of Tübingen, Germany) Tirin Moore (Stanford University, USA) Mala Murthy (Princeton University, USA) Memming Park (Champalimaud Foundation, Portugal) Susanne Schreiber (Humboldt Universität zu Berlin, Germany) Xiao-Jing Wang (New York University, USA) ____ CONFERENCE COMMITTEE Matthias Kaschube (Conference Chair) Srdjan Ostojic (Program Chair) Tatiana Engel (Program Vice Chair) Maria Eckstein (Workshop Chair) Wiktor Młynarski (Workshop Vice Chair) & Athena Akrami, Mehrdad Jazayeri, Jennifer Li, Scott Linderman, Ashok Litwin-Kumar, Ida Momennejad, Christina Savin, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de<mailto:bernstein.conference@fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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PhD in computational neurosciences at CerCo (CNRS UMR 5549, Toulouse France)
by MASQUELIER Timothee May 22, 2024

May 22, 2024

Fully funded PhD fellowship in computational neurosciences at the CerCo laboratory (CNRS UMR 5549, Toulouse France) and in collaboration with the IPAL laboratory (IRL 2955, Singapore) Benoit Cottereau / Timothée Masquelier Starting date: Second semester of 2024 Supervisors: Benoit Cottereau, research director at CNRS (CerCo & IPAL, contact: benoit.cottereau(a)cnrs.fr <mailto:benoit.cottereau@cnrs.fr>) and Timothée Masquelier, research director at CNRS (CerCo, contact: timothee.masquelier(a)cnrs.fr <mailto:timothee.masquelier@cnrs.fr>) Keywords: Vision, Computational neurosciences, Artificial intelligence (AI), Spiking neural networks, Event-based cameras, Neuro-ophthalmology. A fully funded PhD fellowships is available to work at the CNRS (Cerco laboratory in Toulouse and also IPAL in Singapore) under the supervision of Benoit Cottereau (CNRS research director) and Timothée Masquelier (CNRS research director). The aim of the project is to develop computational models that explain how the visual system evolves following the onset of pathologies associated with visual field deficits (e.g., in patients with macular degeneration or retinis pigmentosa). We will be specifically interested in the neuroplasticity mechanisms that may underly the visual rehabilitations observed in some animal models of these pathologies (see e.g., Shao et al., 2014; Burnat et al., 2017). It will be realized using spiking neural networks trained with data collected by event-based cameras from partially occluded visual scenes (see e.g., Moore et al., 2021). The outputs of the networks after training will be compared to those observed in neural recordings and/or in behavioural experiments realized in patients (the CerCo has a privileged connection with the Retina Center of the Purpan hospital in Toulouse). The candidates should be willing to work in a multidisciplinary environment which combines AI, neurosciences and ophthalmology, have a good level in English, very good mathematical and programming skills and be interested in neurobiology. Some knowledge in neurosciences/ cognitive sciences would be a plus. The research will mainly take place in Toulouse, a student city (Toulouse is the second university hub in France) with high quality of life located in the south west of France (close to the Pyrenees, the Mediterranean Sea and the Spanish border). Stays in Singapore (a multicultural and attractive city of south-east Asia) are also planned. The position will be fully funded during the three years of the PhD, with standard French salaries. Applications should be sent to benoit.cottereau(a)cnrs.fr <mailto:benoit.cottereau@cnrs.fr> and timothee.masquelier(a)cnrs.fr <mailto:timothee.masquelier@cnrs.fr>, including a CV and 2 names of references. References: - Burnat, K., Hu, T. T., Kossut, M., Eysel, U. T., & Arckens, L. (2017). Plasticity beyond V1: reinforcement of motion perception upon binocular central retinal lesions in adulthood. Journal of Neuroscience, 37(37), 8989-8999. - Moore, J. A., Tuladhar, A., Ismail, Z., Mouches, P., Wilms, M., & Forkert, N. D. (2023). Dementia in Convolutional Neural Networks: Using Deep Learning Models to Simulate Neurodegeneration of the Visual System. Neuroinformatics, 21(1), 45-55. - Shao, Y., Keliris, G. A., Papanikolaou, A., Fischer, M. D., Zobor, D., Jägle, H., ... & Smirnakis, S. M. (2013). Visual cortex organisation in a macaque monkey with macular degeneration. European journal of neuroscience, 38(10), 3456-3464.

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World wide VVTNS series: Wednesday, May 22 at 11am (EDT), Yu Hu Hong Kong University of Science and Technology | How random connections and motifs shape the covariance spectrum of recurrent network dynamics
by David Hansel May 19, 2024

May 19, 2024

[image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Yu Hu Hong Kong University of Science and Technology on the topic of "How random connections and motifs shape the covariance spectrum of recurrent network dynamics*"* The lecture will be held on zoom on *May 22, 2024*, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *Theoretical neuroscience aims to understand the relationship between neuron dynamics and connectivity in recurrent circuits. This has been intensively studied at the local level, where dynamics is described by pairwise correlations. Recent advances in simultaneous recordings of many neurons have allowed researchers to address the question at the global level, such as for the dimensionality of population dynamics. Our work contributes to this effort by analyzing the impact of connectivity statistics, including certain motifs, on the bulk and outlier covariance eigenvalues. By considering linearized dynamics around a steady state, we obtained analytically the covariance spectrum which exhibits a signature long tail robust to model variants and matches zebrafish calcium imaging data. This provides a local circuit mechanism for shaping the geometry of population dynamics and a quantitative benchmark for interpreting data. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. 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 ᐧ ᐧ ᐧ ᐧ -- "В каждой шутке есть доля шутки" 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 *CONFIDENTIALITY AND PRIVACY NOTICE:* *This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction.* ᐧ

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Last seats left @ 7th Advanced Course on Data Science & Machine Learning - ACDL 2024 - From Deep Learning to Generative AI | June 10-14 | Riva del Sole Resort & SPA - Italy -> Early Registration: by 23 May
by ICAS Organizing Committee May 18, 2024

May 18, 2024

* Apologies for multiple copies. Please forward to anybody who might be interested, thanks * * Last seats left, hurry up and register! * There are still some spots available on the Advanced Course on Generative AI - ACDL 2024. To participate your registration fee has to be received by *23 May* so please register asap! See you in Tuscany in June! https://acdl2024.icas.events #ACDL2024, An Interdisciplinary Course: From Deep Learning to Generative AI ACDL 2024 is a full-immersion 5-day course in Tuscany on cutting-edge advances in AI, Deep Learning, LLMs, Data Sc. & Generative AI with lectures delivered by world-renowned experts. If you want to learn NLP, Generative AI Transformers, Diffusion Models, Large language models, Vision - Large-scale vision models, Vision and language, Beyond vision and language, Multimodal Foundation Models and much more then take part in ACDL 2024! ;-) Riva del Sole Resort & SPA - Tuscany, Italy, June 10-14 https://acdl2024.icas.events acdl(a)icas.cc EARLY REGISTRATION: by May 23 (AoE) https://acdl2024.icas.events/registration/ Oral Presentation Submission Deadline: by May 23 (AoE) LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. https://acdl2024.icas.events/lecturers/ * Joseph Sifakis, Verimag Laboratory, Grenoble, France *Turing Award* Lecture: “Artificial Intelligence: Where We Are, Where We Are Going?” * Gabriel Barth-Maron, DeepMind, London, UK 4 Lessons on "Multimodal Foundation Models" * Sergiy Butenko, Texas A&M University, USA “Cluster-detection Methods in Network-based Data Analysis” “Continuous Approaches to Cluster-Detection Problems in Networks ” * Sven Giesselbach, Fraunhofer Institute - IAIS, Germany 5 Lessons on "Introduction on Foundation Models" * Ramin Hasani, MIT, USA 4 Lessons on "Continuous Neural Networks / Liquid Neural Networks" * Nora Kassner, DeepMind, London, UK "Large Language Models: Life after Pre-training" "Large Language Models: Evaluation" "Large Language Models: Reasoning and Factuality" "Large Language Models: Retrieval augmentation and Tool-use" * Petros Koumoutsakos, Harvard University, USA “Machine Learning for Modeling and Control of Complex Systems” 1/2 “Machine Learning for Modeling and Control of Complex Systems” 2/2 “Solving forward and inverse problems with and without neural networks” “Bayesian Uncertainty Quantification” * Maria Liakata, The Alan Turing Institute, UK 4 Lessons on "Longitudinal Language Processing with User Generated Content" * Panos Pardalos, University of Florida, USA Lecture TBA Topics: Data Science, Application to Neuroscience * Jakub M. Tomczak, Eindhoven University of Technology, The Netherlands 4 Lessons on “Deep Generative Modelling” * Rianne van den Berg, Microsoft Research Amsterdam, The Netherlands 3 Lessons on "Diffusion Models" * Pascal Van Hentenryck, Georgia Institute of Technology, USA 3 Lessons on "Fusing Machine Learning and Optimization for Engineering" * Max Welling, University of Amsterdam, The Netherlands Lecture "Generalized Belief Propagation Algorithms for Tensor Network Contractions" PAST LECTURERS: https://acdl2024.icas.events/past-lecturers/ ACDL 2024 VENUE: https://acdl2024.icas.events/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/ PAST EDITIONS: https://acdl2024.icas.events/past-editions/ REGISTRATION: https://acdl2024.icas.events/registration/ CERTIFICATE & 8 ECTS: PhD students, Postdocs, Industry Practitioners, Junior and Senior Academics, and will be typical profiles of the ACDL attendants. The Course 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) attending the Course. At the end of the course, a formal certificate will be delivered indicating the 8 ECTS points. TO PARTICIPATE IN ACDL 2024, all attendants must (1/2) register for the course (by May 23) and (2/2) book accommodation at the course venue, Riva del Sole Resort & SPA‚ (by May 23); 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 ACDL organizing committee (acdl(a)icas.cc) ACDL is a residential course, 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. Anyone interested in participating in ACDL 2024 should register as soon as possible. See you in Riva del Sole in June! Giuseppe Nicosia & Panos Pardalos - ACDL 2024 Directors. ACDL 2024 Scientific & Organizing Committees. https://acdl2024.icas.events acdl(a)icas.cc *7th Advanced Course on Data Science & Machine Learning - ACDL 2024,* 10-14 June Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) – Tuscany, Italy An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders *Early Registration: by February 23, 2024 (AoE)* The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. https://acdl2024.icas.events/ *10th International Conference on Learning, Optimization and Data – LOD 2024, *22–25 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://lod2024.icas.events/ lod(a)icas.cc *Submission Deadline: March 23* *4th Advanced Course ** and Symposium **on Artificial Intelligence and Neuroscience – ACAIN 2024,* 22–25 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://acain2024.icas.events/ acain(a)icas.cc *Symposium Submission Deadline: March 23 * *Early Registration Deadline for the Course: March 23* The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. *ICAS* *-* *The Interdisciplinary Centre of Advanced Studies* https://icas.cc/

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Grand Challenge on Neural Decoding at BioCAS 2024
by Prof. Arindam BASU May 18, 2024

May 18, 2024

Apologies for Cross posting ---------------------------------- Dear all We are pleased to announce the Grand Challenge on “Neural Decoding for Motor Control of non-Human Primates” at IEEE BioCAS 2024. About The need to restore their ability to perform activities for daily living has motivated the development of a host of assistive technologies. The most promising among the reported ones is the intra-cortical Brain-Machine Interface (iBMI). iBMIs aim to substantially improve patients' lives affected by spinal cord injury or debilitating neurodegenerative disorders such as tetraplegia, amyotrophic lateral sclerosis etc. An important block in the signal processing chain is the intention decoder that converts the neural signal to a command for driving an actuator (e.g. wheelchair, cursor in screen etc.). While Kalman Filters have been the algorithm of choice historically, the recent improvements of deep neural networks (DNN) raise the question whether they can outperform traditional signal processing techniques. Moreover, integrating such decoders in the implant can provide an effective solution to data compression which is urgently needed to enable wireless iBMIs. However, the computational complexity of the decoder has to be reduced to fit within the power budget of an implant. Recent advances in DNN techniques such as model compression, quantization and new networks like spiking neural networks may offer solutions in this direction. This IEEE BioCAS Grand Challenge is geared in that direction and aims to push the boundary for neural decoder design toward next-generation BMI systems. We leverage the framework of Neurobench (https://arxiv.org/abs/2304.04640) developed for benchmarking neuromorphic systems to enable fair comparisons between different decoder designs. Timeline Start of Registration Friday, Apr 26, 2024 Start of Project Submission Wednesday, May 1, 2024 End of Registration/ Regular Paper Submission Friday, May 27, 2024 End of Project Submission Friday, Aug 2, 2024 Author Notification Date Friday, Aug 16, 2024 Final paper submission deadline Friday, Sep 6, 2024 Conference Registration Friday, Oct 4, 2024 Participation 1. The competition is open to individuals, colleges/universities, scientific research institutions, and enterprises. The maximum number of team members is 3. 2. To ensure compliance with local regulations during the competition, all participants should comply with the export control laws of their country. In case of any negative impact on the competition due to violation of any export control laws, the team members reserve the right to disqualify the relevant contestants and take legal action. 3. Participants shall express their interest to participate in this Grand Challenge by filling in the application form (https://forms.gle/XGu4Bo9qq2YEYWWe6 ). They have to further submit an abstract in the Conference paper submission website (https://2024.ieee-biocas.org/Call-for-Papers) choosing the track as “Grand Challenge”, by May 27, 2024. Awards Top performing teams will be invited to submit papers in a week after their notification on Aug 16. Do note that gaining one of the top places on the leaderboard does not necessarily mean the acceptance of your paper –the paper will still go through a peer review process and may be rejected. The winning entries may however present their work at the conference regardless of paper acceptance. They will also receive certificates. For further details of datasets and evaluation metrics, please check the Biocas website: http://2024.ieee-biocas.org/ You may also email the organizers as listed below. We look forward to receiving your submissions! Thanking you, Organizers Biyan Zhou, City University of Hong Kong Pao-Sheng Vincent Sun, City University of Hong Kong Jason Yik, Harvard University Charlotte Frenkel, Delft University of Technology Vijay Janapa Reddi, Harvard University Arindam Basu, City University of Hong Kong (Email: byzhou4-c(a)my.cityu.edu.hk<mailto:byzhou4-c@my.cityu.edu.hk>; vincesun-c(a)my.cityu.edu.hk<mailto:vincesun-c@my.cityu.edu.hk>; jyik(a)g.harvard.edu<mailto:jyik@g.harvard.edu> ) -- Regards Arindam Basu Professor, Dept. of EE City University of Hong Kong Associate EiC, IEEE TBCAS Editorial Board Member of IOP Neuromorphic Computing and Engineering Associate Editor of IEEE Sensors & Frontiers in Neuroscience Disclaimer: This email (including any attachments) is for the use of the intended recipient only and may contain confidential information and/or copyright material. If you are not the intended recipient, please notify the sender immediately and delete this email and all copies from your system. Any unauthorized use, disclosure, reproduction, copying, distribution, or other form of unauthorized dissemination of the contents is expressly prohibited.

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MESEC WORKSHOP 2024 [Deadline Extension]
by RUBÉN HERZOG May 17, 2024

May 17, 2024

Dear comp-neuro community, APPLICATION DEADLINE EXTENDED We have extended the application deadline of the exciting MESEC Workshop 2024 on non-ordinary states of consciousness! one week, so don’t miss this opportunity to apply. *The new deadline is May 24th, 2024 at 23:59 anywhere on Earth.* This unique 7-day interdisciplinary workshop, held from August 31st to September 8th in the beautiful setting of Campomoro, Corsica, brings together researchers from various fields to explore states of consciousness induced by psychedelics, meditation, hypnosis, and more. Participants will work closely with keynote speakers to create research proposals integrating insights from multiple perspectives. The scientific chair is the esteemed Thomas Metzinger, past president of the German Cognitive Science Society and the Association for the Scientific Study of Consciousness. Confirmed speakers include: * Christopher Timmerman, Imperial College London * Aviva Berkovich-Ohana, University of Haifa * Katrin Preller, University of Zurich * Guillaume Dumas, University de Montréal The workshop offers a stimulating environment to gain exposure to diverse methodologies, contribute to advancing consciousness research, and develop new collaborations. Postdocs and PhD students interested in expanding their knowledge are encouraged to apply. Participation fees of €750 cover 8 nights accommodation, meals, airport transport, and the workshop fee. *As we are trying to make our event as inclusive and accessible as possible, bursaries based on the quality of the application are available to help cover costs for those who need assistance to attend.* Don't miss this opportunity - submit your application at https://mesec.co/event/seminar_2024 Feel free to reach out to info(a)mesec.co with any questions. Best regards, The MESEC 2024 Team (Ros, Ruben, Romy, George)

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Complexity Textbook with ML Chapter
by Claudius Gros May 16, 2024

May 16, 2024

Everybody! The just-published 2024 (fifth) Edition of the Sprinter Textbook Complex and Adaptive Dynamical Systems A Comprehensive Introduction contains now a chapter on "Complexity of Machine Learning" Just to let you know. More information in the table of contents https://link.springer.com/content/pdf/bfm:978-3-031-55076-8/1 Claudius -- ### ### Prof. Dr. Claudius Gros ### http://itp.uni-frankfurt.de/~gros ###

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M.Sc. Modeling for Neuronal and Cognitive Systems - applications are open
by Chloe Bourgeois May 16, 2024

May 16, 2024

[APPLICATIONS FOR 2024-25 ARE OPEN UNTIL JUNE 15 !] The M.Sc. Mod4NeuCog is a two-year interdisciplinary master's program at Université Côte d'Azur (Nice, France), which aims to train active researchers at the crossroads of computer science, applied mathematics and cognitive neuroscience. We encourage students with a background in computer science, mathematics, cognitive science, psychology or neuroscience to apply to our program, where they will learn to model cognitive functions using mathematical and computational tools. After the program, students are specialized in computational neuro/cognitive science and able to work in fully interdisciplinary settings, with a strong foundation in mathematics. More information available at our website : https://univ-cotedazur.eu/msc/modeling-for-neuronal-and-cognitive-systems Thanks for sharing this email with people who may be interested! -- Chloé BOURGEOIS-ANTONINI Responsable administrative Institut NeuroMod<https://neuromod.univ-cotedazur.eu/> Université Côte d'Azur 2004 Route des Lucioles 06902 Sophia-Antipolis Tel. : +33 (0)4 89 73 24 99 chloe.bourgeois(a)univ-cotedazur.fr<mailto:chloe.bourgeois@univ-cotedazur.fr>

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SUMMER SCHOOL:
by Stephen José Hanson May 15, 2024

May 15, 2024

Large Language Models : Science and Stakes (June 3-14, 2024) SUMMER SCHOOL: "UNDERSTANDING LLM UNDERSTANDING" https://skywritingspress.ca/2019/01/08/the-journey-begins/ -- Stephen José Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS

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Post-doc in computational modeling of catatonia (Benoît Girard, ISIR, Sorbonne Université, Paris)
by Benoît Girard May 15, 2024

May 15, 2024

Post-doc in computational modeling of catatonia (Benoît Girard, ISIR, Sorbonne Université, Paris) A postdoc position (12+ month) is opened at the Institute of Intelligent Systems and Robotics (ISIR, Sorbonne Université & CNRS). We are looking for a young and enthusiast researcher trained in computational neuroscience or neuro-robotics to contribute to the development of a computational model of catatonia. It is based on a new theory and preliminary results obtained in the lab (Aubin et al., 2022), dealing with the study of alteration of dynamic regimes observed in models of cortico-baso-thalamo- cortical loops. Results obtained with a population model have to be reproduced and extended with a spiking model, as well as connected to motor control module so as to investigate the motor symptoms of catatonia. The project builds on an ongoing collaboration between Benoît Girard (ISIR, computational neuroscience), David Cohen (ISIR and Pitié-Salpêtrière Hospital, clinical expertise) and Ghilès Mostafaoui (ETIS at Cergy-Pontoise Université, robotics and motor control). Starting date: September, 1st. Application deadline: June 15th. Location: The postdoc will be based in ISIR (https://www.isir.upmc.fr/?lang=en) in the Pierre & Marie Curie campus in the center of Paris. Please contact us (benoit.girard(a)isir.upmc.fr, david.cohen(a)aphp.fr, ghiles.mostafaoui(a)u-cergy.fr) for further information and applications. Aubin, L., Batailley, B., Raffin, M., Mostafaoui, G., Cohen, D. and Girard B. (2022) Exploration of the respective roles of cortex and basal ganglia in catatonia with a computational model. Poster presented at FENS2022 and NeuralNet2022. -- Benoît Girard, ISIR, Sorbonne Université/CNRS http://people.isir.upmc.fr/girard Submit your replications to ReScience C: https://rescience.github.io

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MESEC WORKSHOP 2024: Non-ordinary States of Consciousness
by RUBÉN HERZOG May 15, 2024

May 15, 2024

Dear comp-neuro-list readers *We invite you to apply to the MESEC WORKSHOP 2024 on Non-ordinary states of consciousness* Join us for an interdisciplinary workshop that brings together researchers from various fields to investigate non-ordinary states of consciousness, such as those induced by psychedelics, meditation, and hypnosis. This collaborative event provides a unique opportunity to engage with leading experts and explore these states from both first-person and third-person perspectives. This unique 7-day interdisciplinary workshop, held from August 31st to September 8th in the beautiful setting of Campomoro, Corsica, brings together researchers from various fields to explore states of consciousness induced by psychedelics, meditation, hypnosis, and more. Participants will work closely with keynote speakers to create research proposals integrating insights from multiple perspectives. The scientific chair is the esteemed Thomas Metzinger, past president of the German Cognitive Science Society and the Association for the Scientific Study of Consciousness. Confirmed speakers include: * Christopher Timmerman, Imperial College London * Aviva Berkovich-Ohana, University of Haifa * Katrin Preller, University of Zurich * Guillaume Dumas, University de Montréal The workshop offers a stimulating environment to gain exposure to diverse methodologies, contribute to advancing consciousness research, and develop new collaborations. Postdocs and PhD students interested in expanding their knowledge are encouraged to apply. Participation fees of €750 cover 8 nights accommodation, meals, airport transport, and the workshop fee. As we are trying to make our event as inclusive and accessible as possible, bursaries based on the quality of the application are available to help cover costs for those who need assistance to attend. Don't miss this opportunity - submit your application at https://mesec.co/event/seminar_2024 by May 18th! Feel free to reach out to info(a)mesec.co with any questions. Best regards, On behalf of the The MESEC 2024 Team Rubén Herzog, PhD.

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Postdoctoral position in "Higher-order interactions in brain networks" (Marseille, France)
by Andrea Brovelli May 14, 2024

May 14, 2024

Postdoctoral position (1+1 years duration) Centre de Physique Théorique, Marseille <http://www.cpt.univ-mrs.fr/> and Institut des Neurosciences de la Timone, Marseille <https://www.int.univ-amu.fr/> Project Title: Higher-order interactions in human brain networks supporting causal learning Supervisors:Alain Barrat (CPT, Marseille) <http://www.cpt.univ-mrs.fr/~barrat>andAndrea Brovelli (INT, Marseille) <https://www.int.univ-amu.fr/member/brovelli.a> *Project abstract*: Learning is a brain network phenomenon thought to arise from synergistic interactions between multiple brain regions. Although central, this hypothesis has never been fully tested, yet. Indeed, progress has been limited by the lack of approaches for studying brain interactions beyond pairwise relations, the so-called higher order interactions (HOIs). Our objective is to build a theoretical and data analysis framework to demonstrate the role of HOIs in human brain networks supporting causal learning. The Hinteract project will be composed of three scientific work packages (WPs). WP1 will develop a novel informational theoretical approach to infer task-related (functional) HOIs from neural time series and will characterise HOIs supporting causal learning using a multiscale dataset including magnetoencephalography (MEG) and intracranial stereo-electroencephalography (SEEG) data. WP2 will develop a network science formalism to analyse the structure and dynamics of functional HOIs patterns, and it will characterise the hierarchical organisation of learning-related HOIs inferred in WP1. WP3 will compile and share the neuroinformatics tools developed in the project and it will make it interoperable with the EBRAINS infrastructure. Overall, our project will reveal whether causal learning is supported by cerebral HOIs, and produce a theoretical and computational framework for the study of HOIs in brain networks that will be shared with the scientific community. Workpackages: WP1: Inference of learning-related high-order interactions in the brain WP2: Analysis of learning-related high-order interactions in the brain using network science approaches WP3: Integrated neuroinformatics tools for HOI analysis and sharing on EBRAINS infrastructure The _hired postdoctoral researcher will mainly work on WP2_, i.e., on the development of new formalisms and methods to apply to higher order interaction patterns identified in the data analyzed in WP1. We are looking for a candidate with a strong background in statistical physics, complex networks, computational neuroscience and programming, and a strong interest in interdisciplinary work. Having already worked on higher order networks is a plus but not required. The hired postdoctoral researcher will be based in the CPT on the Luminy Campus (south of Marseille) but will also devote a significant part of their time at the INT in the La Timone campus. *Position starting date:*October 1st, 2024 (negotiable) *Duration of the position:*1 year, renewable *Deadline for applications: June 15th, 2024* *TO APPLY*: * please send CV and motivation letter, and * have your supervisors send directly two letters of recommendation, *within June 15th, 2024*to alain.barrat @ cpt.univ-mrs.fr*and*andrea.brovelli @ univ-amu.fr

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REMINDER: World wide VVTNS series: Wednesday, May 15 at 11am (EDT), Agostina Palmigiano, Gastby Unit, London | Mechanisms underlying responses to optogenetic perturbations
by David Hansel May 14, 2024

May 14, 2024

[image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Agostina Palmigiano Gatsby Unit, London on the topic of "Mechanisms underlying responses to optogenetic perturbations*"* The lecture will be held on zoom on *May 15, 2024*, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *Optogenetic stimulation is a powerful tool to probe neural circuits. Yet, its effect on neural dynamics can be counterintuitive. Here, we analyzed and theoretically modeled neuronal responses to visual and optogenetic inputs in mouse and monkey V1. We found that in both species, optogenetic activation of excitatory neurons had weak or no effects on the distribution of firing rates across the population, but strongly modulated single-cell activity, a phenomenon which we call neuronal reshuffling. Through theoretical analysis and numerical investigations, we show that neuronal reshuffling emerges in strongly-coupled, randomly-connected networks via strong feedback inhibition, provided that the optogenetic input is sufficiently heterogeneous and weak. As perfect reshuffling was observed only when measuring cells whose orientation preference matched the orientation of the presented stimulus (in the monkey data), we extended our analysis to networks with a connection probability and inputs that depend on the cell's feature preference. We show that this model can be theoretically described as interactions between the tuned activity, encoding sensory features, and the untuned baseline activity. Finally, we show that these models can produce rate reshuffling via strong, effective inhibition of the tuned response by the untuned baseline and work out an intuition for this phenomenon. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. 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 ᐧ ᐧ ᐧ ᐧ ᐧ

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Summer School in Computational Neuroscience, Neurotechnology and Neuro-inspired AI
by O'Donnell, Cian May 14, 2024

May 14, 2024

We invite applications for our 4th annual Summer School in Computational Neuroscience, Neurotechnology and Neuro-inspired AI (ISRC-CN3), hosted at the Intelligent Systems Research Centre (ISRC) in the Derry/Londonderry campus of Ulster University, Northern Ireland. The School runs from August 26th to 30th 2024 in hybrid mode with both in-person and online attendees. There have been rapid advancements and investments in research and development in brain sciences, neurotechnology, neural data modelling and neuro-inspired artificial intelligence (AI). The Computational Neuroscience, Neurotechnology and Neuro-inspired AI (CN3) Summer School aims to train the next generation of researchers on these state-of-the-art developments. This short course will touch on the areas of computational neuroscience, neural data science, neurotechnology and neuro-inspired AI. Current lecture list (to be finalised): * Introductory neuroscience * Mathematics for neuroscience * Computational modelling of plasticity and learning in brains * Computational modelling of neuronal and glial interactions * Modelling the dynamics of decision-making * Neural Signal Processing * Brain Hyperscanning * Neurotechnology and its application for disorders of consciousness * BCI-controlled exoskeleton for neuro-rehabilitation * Spiking Neural Networks and their applications * Introduction to Continual Learning * Neuro-inspired Large Language Models * Neuromorphic Computing and Applications * Research ethics in Neuroscience, Neurotechnology and AI There will also be daily computer lab sessions and group projects. How is this course different to other schools? Some key benefits: * Crash-course on a broad set of topics. * Compressed 5-day duration. * Targeted at people new to or curious about these fields, who want to learn more. Little background knowledge assumed. * Registration costs kept low and subsidised housing, to encourage a diverse attendee pool. The 2023 School hosted 143 participants from 34 countries, with 41 attending in-person. The school is primarily targeted at PhD student level but we also welcome applications from MSc students, postdoctoral researchers, academic faculty, and industrial researchers. Some attendee feedback: * “… mind-opening experience …to listen to the great work of top-notch researchers” * “…friendly environment which I felt even in online experience” * “…lectures were not only interesting on their own but were ordered in such a way that they built on top of each other …and I felt I had built a good foundation on various topics in neuroscience that I can revisit later” For more information and application, please visit the website at: https://www.ulster.ac.uk/faculties/computing-engineering-and-the-built-envi… Deadline for In-Person Application: 15 June 2024 Deadline for Online Application: 10 August 2024 This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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CFP COMPLEX NETWORKS 2024 Istanbul Turkey December 10 - 12, 2024
by Genevieve Jourdain-Lambert May 13, 2024

May 13, 2024

13 *th **International Conference on Complex Networks & Their Applications* Istanbul, Turkey December 10 - 12, 2024 COMPLEX NETWORKS 2024 <https://complexnetworks.org/> You are cordially invited to submit your contribution until *September 03, 2024*. *SPEAKERS* · Federico Battiston <https://people.ceu.edu/federico_battiston> Central European University, Austria · Tina Eliassi-Rad <https://www.khoury.northeastern.edu/people/tina-eliassi-rad/> Northeastern University, USA · Frank Emmert-Streib <https://www.tuni.fi/en/frank-emmert-streib> Tampere University, Finland · Filippo Menczer <https://cnets.indiana.edu/fil/> Indiana University, USA · Luciano Pietronero <http://www.lucianopietronero.it/> University of Rome, Italy *TUTORIALS (December 09, 2024)* · Alessandro Galeazzi <https://scholar.google.com/citations?user=DK0tXAIAAAAJ&hl=en> University of Padova, Italy · Clara Stegehuis <https://www.clarastegehuis.nl/> Twente University, The Netherlands *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. · *Papers *will be included in the conference *proceedings edited by Springer* · *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions will be invited for publication in *special issues of international journals:* o PLOS Complex Systems <https://journals.plos.org/complexsystems/> edited by PLOS <https://plos.org/>. o PLOS <https://journals.plos.org/plosone/> One <https://journals.plos.org/plosone/> edited by PLOS <https://plos.org/> o Applied Network Science <https://appliednetsci.springeropen.com/> edited by Springer Nature <https://www.springernature.com/gp> o Social Network Analysis and Mining <https://link.springer.com/journal/13278> edited by Springer Nature <https://www.springernature.com/gp> o Entropy <https://www.mdpi.com/journal/entropy> edited by MDPI <https://www.mdpi.com/> o Advances in Complex Systems <https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific o Complex Systems Journal <https://www.complex-systems.com/> *SUBMISSION:* *https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/* <https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/> *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Murat Donduran (Yildiz Technical University, Turkey) Luis M. Rocha (Binghamton University, USA) *PROGRAM CHAIRS* Chantal Cherifi (University of Lyon, France) Onur Varol (Sabanci University, Turkey

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position at NIH: Data Scientist and Senior Advisor to the Director of the National Institute on Drug Abuse
by Francisco Pereira May 13, 2024

May 13, 2024

The National Institute on Drug Abuse (NIDA) is seeking a GS-15 Data Scientist for the Office of the Director. The incumbent of this position will serve as a Data Scientist and Senior Advisor to the NIDA Director and other leadership positions, on matters related to health informatics and data science, data management, emerging technologies, opportunities for collaboration, data standards and policy within the scope of the NIDA mission. The incumbent will plan and carry out quality control programs and select statistical methods for use in quality control analysis and ensure the reliability and consistency of the data while measuring the data limitations. Additionally, the selectee will provide technical expertise and project leadership necessary to advance strategic initiatives in the use and effectiveness of data- and knowledge-driven methods in the organization; and develop collaborations with researchers and administrators applying technical expertise to support a variety of use cases related to neuroscience. Some of the duties include but are not limited to the following: - Serves as a principal advisor to the NIDA Director and senior leadership on health informatics and data science, data management, and emerging technologies. - Contribute as a recognized expert in the design and implementation of computer-based solutions, including tools, techniques and practices that broaden the use of NIDA data sets and knowledge bases and ensure access to research data throughout its lifecycle. - Serve as the Institute's subject matter expert (SME) on issues and matters related to new, novel, and/or emerging technologies and areas in data analytics and their application to supporting the Institute's research portfolio; business process improvements and enhancements; data policies related to privacy, accessibility, and interoperability; and applied data science. - Serve as a member of committees or workgroups at the agency or department level as well as on interdepartmental groups. In this capacity, the incumbent provides professional expertise as well as representing NIDA on matters relating to policy and interpretation of resource requirements for data science. - Represent the organization at professional meetings and conferences where the focus is addiction-related data science and neuroinformatics. The ideal candidate will have a bachelor’s degree or graduate/higher level degree in mathematics, statistics, computer science, or data science. The successful candidate will also possess extensive knowledge of and documented experience working in neuroscience, addiction science, and/or substance use disorder research. The candidate must be a U.S. Citizen or U.S. National. Foreign nationals or legal permanent residents are not eligible for consideration. https://www.usajobs.gov/job/782086300

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Research Positions at OIST Neural Computation Unit
by Kenji Doya May 12, 2024

May 12, 2024

Neural Computation Unit (prof. Kenji Doya) at Okinawa Institute of Science and Technology Graduate University (OIST) has multiple open research positions. 1. Theory and experimental investigation of Bayesian inference and reinforcement learning by the cortex, basal ganglia, and neuromodulator systems • Unified Theory of Prediction and Action: https://unifiedtheory.jp/en/organization/a03-doya/ • Moonshot R&D Program: https://www.jst.go.jp/moonshot/en/program/goal9/9D_miyazaki.html 2. Data-driven construction of neural network models and large-scale simulation • Brain/MINDS 2.0 Digital Brain Project: https://groups.oist.jp/ncu/digital-brain-project • Fugaku Whole Brain Simulation Project: https://brain-hpc.jp/en/ 3. Application of wearable devices for monitoring mind and body state to support healthy life • Bioconvergence Center of Innovation: https://bioconvergence.jp/en/ 4. Flexible and robust reinforcement learning and meta-learning algorithms 5. Development of smartphone robots for multi-agent learning and embodied evolution If you are interested, please visit our web site: https://groups.oist.jp/ncu and apply by the web form: https://groups.oist.jp/ncu/oist-neural-computation-unit-job-application-form If you are interested to join as a PhD student or an intern, please apply from OIST Graduate School admission site: https://admissions.oist.jp/ Best wishes, Kenji ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

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Positions at the University of Helsinki
by Rich, Scott May 10, 2024

May 10, 2024

Dear Comp-Neuro Listserv, I’m forwarding along this notice on behalf of a colleague. Apologies for any potential double postings! Happy to share that we are looking for two new systems neuroscientists and/or computational neuroscientists at the Neuroscience Center, University of Helsinki, Finland. The PI position is 5+4 years, salary is covered fully, and no teaching load. After the 9 years, it would be likely that a professor position would open up and the PI could apply for full profesor, but they could also obtain grants and stay as a PI in the Neuroscience Center without teaching. Finland is an awesome place to live and have a family. https://jobs.helsinki.fi/job/Helsinki-Two-group-leader-positions%2C-Neurosc… ___________ Sincerely, Scott Rich, Ph.D. Assistant Professor, University of Connecticut Department of Physiology and Neurobiology pnb.uconn.edu/person/scott-rich/ <http://pnb.uconn.edu/person/scott-rich/>richlab.pnb.uconn.edu<http://richlab.pnb.uconn.edu/>

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INCF/OCNS Software Working Group sessions: Pierre Yger: SpikeInterface: 14 May 1500 UTC
by Ankur Sinha May 9, 2024

May 9, 2024

Dear all, Apologies for the cross posts. Pierre Yger will present SpikeInterface at the next open INCF/OCNS Software Working Group (WG) session on May 14 at 1500 UTC. There will be a Q&A session after the presentation, followed by WG business. Please find the abstract and joining information below: - When: May 14, 1500 UTC - Where: Zoom (https://ucl.zoom.us/j/91017703246?pwd=RmdwMW9xL0FFaFVVL0Z6dUtnbkplZz09) - Web page: https://ocns.github.io/SoftwareWG/2024/05/07/wg-meeting-14-may-2024-spikein… Abstract: - https://elifesciences.org/articles/61834 - https://spikeinterface.readthedocs.io/en/latest/ Much development has been directed toward improving the performance and automation of spike sorting. This continuous development, while essential, has contributed to an over-saturation of new, incompatible tools that hinders rigorous benchmarking and complicates reproducible analysis. To address these limitations, we developed SpikeInterface, a Python framework designed to unify preexisting spike sorting technologies into a single codebase and to facilitate straightforward comparison and adoption of different approaches. With a few lines of code, researchers can reproducibly run, compare, and benchmark most modern spike sorting algorithms; pre-process, post-process, and visualize extracellular datasets; validate, curate, and export sorting outputs; and more. In this paper, we provide an overview of SpikeInterface and, with applications to real and simulated datasets, demonstrate how it can be utilized to reduce the burden of manual curation and to more comprehensively benchmark automated spike sorters. -- 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

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