December 2024 - Comp-neuro - lists.cnsorg.org

Postdoctoral Research Fellow in Biocomputation at the University of Hertfordshire, UK
by Volker Steuber Oct. 17, 2025

Oct. 17, 2025

Post Title: Research Fellow in Biocomputation SBU/Department: School of Physics, Engineering and Computer Science ________________________________ FTE: 1 FTE (working 37 hours per week) Duration of Contract: Fixed term Contract (3 years) Salary: UH7 £36,333 pa with potential to progress to £43,155 pa on achieving designated skills and experience Annual Leave: 35 days plus standard public holidays and an additional 4 days including the closure of our office between Christmas and New Year Location: College Lane Campus, Hatfield, UK Closing Date: 14th June 2023 Interview Date: To be confirmed Reference Number: 048016 Date advert placed: 17th May 2023 Main duties and responsibilities We are seeking a full-time Research Fellow to join the Biocomputation Research Group in the School of Physics, Engineering and Computer Science at the University of Hertfordshire to conduct high-quality research in Computational Neuroscience. The successful candidate’s research will involve synergistic collaborations with a multidisciplinary team to investigate brain processes using methodologies such as computational modelling, machine learning and AI. Research to be conducted could, e.g., comprise modelling brain circuits like the olfactory bulb or the cerebellum and simulating and analysing their function. Additional impact could arise in machine learning, AI, data science, neurorobotics and neuromorphic computing. The successful candidate will be expected to establish a programme of research in collaboration with colleagues at UH and partner organisations in the UK and abroad. Leading the preparation and publication of research manuscripts is a key aspect of the role. Contributions to the preparation of research proposals and applications for funding to external bodies, such as the European Commission and the UK Research and Innovation (UKRI) are expected. The postholder will create opportunities to maximise research activities, capturing relevant evidence to support impact and engaging with external partners and stakeholders. Skill and experience required * Strong theoretical, computational and programming background in computational modelling and/or machine learning and/or data science and/or AI. * Background and expertise in computational neuroscience (e.g. spiking neural networks, brain function and anatomy, analysis of brain data). * Demonstrated experience to conduct independent research in computational neuroscience or a related field, e.g., through published research papers or monographs. * Applicants must be proficient in both written and oral English * The applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Qualifications required • An undergraduate honours degree (or equivalent) in Computer Science, Physics, Mathematics, Neuroscience, or a related discipline and a PhD (or expectation that one will soon be awarded) in a relevant discipline. An appointment to this role may require an Academic Technology Approval Scheme (ATAS) certificate. Contact Details/Informal Enquiries: Professor Volker Steuber, v.steuber(a)herts.ac.uk Professor Michael Schmuker, m.schmuker(a)herts.ac.uk Apply through: https://www.jobs.herts.ac.uk/go/048016 Our vision is to transform lives: UH is committed to Equality, Diversity and Inclusion and building a diverse community. We welcome applications from suitably qualified and eligible candidates regardless of their protected characteristics and recognise there are different ways applicants may achieve the criteria in this document. We offer a range of employee benefits including generous annual leave, flexible location opportunities within the UK, discounted Sports Village memberships and free Active Staff sessions, personal and professional development and family-friendly policies. Volker Steuber Professor of Computational Neuroscience Biocomputation Research Group School of Physics, Engineering and Computer Science University of Hertfordshire College Lane, Hatfield, AL10 9AB, UK biocomputation.herts.ac.uk<http://biocomputation.herts.ac.uk>

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Late-breaking poster abstract submission for the 32nd Annual Computational Neuroscience Meeting ends on June 15
by Rubchinsky, Leonid L June 11, 2025

June 11, 2025

Dear Colleagues, We would like to remind that the late-breaking poster abstracts submission at CNS*2023 ends on June 15. CNS*2023, 32nd Annual Computational Neuroscience Meeting, will be in Leipzig, Germany, on July 15-19, 2023. The information about the meeting and abstract submission can be found here: Registration: https://ocns.memberclicks.net/cns-2023-registration Abstract submission: https://www.cnsorg.org/cns-2023-abstract-submission CNS*2023 information: https://www.cnsorg.org/cns-2023 With kind regards, Leonid Rubchinsky OCNS Vice President *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Purdue University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin(a)iupui.edu http://www.math.iupui.edu/~lrubchin ***********************

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Announcing Okinawa/OIST Computational Neuroscience Course 2025 (OCNC 2025)
by Erik De Schutter Jan. 27, 2025

Jan. 27, 2025

The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 23th through July 10th, 2025 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://www.oist.jp/conference/ocnc-2025) only; January 1 - January 31, 2025. Applicants will receive confirmation of acceptance end of March. Like in preceding years, the 2025 OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international and local experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. For the first time we charge a modest tuition fee of 60,000JPY. The sponsor will provide lodging and meals during the course. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Lecturers: Erik De Schutter (OIST) Kenji Doya (OIST) Tomoki Fukai (OIST) Yukiko Goda (OIST) Bernd Kuhn (OIST) Alexander Mathis (EPFL, Switzerland) Mackenzie Mathis (EPFL, Switzerland) Lucy Palmer (University of Melbourne, Australia) Gerald Pao (OIST) Padmini Rangamani (University of California, San Diego, USA) Sam Reiter (OIST) Yu Takagi (National Institute of Informatics) Kazumasa Tanaka (OIST) Tim Vogels (IST Austria) Jeff Wickens (OIST)

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Save the date: UK Neural Computation meeting July 8-10th, Sheffield
by Mark Humphries Jan. 24, 2025

Jan. 24, 2025

Save the date! The UK Neural Computation meeting is in Sheffield for 2024, the gathering of the UK’s computational and systems neuroscience community 8 July: ECR day 9-10 July: main meeting 11 invited speakers, 4 talks from abstracts and loads of posters Abstract submission and registration opening soon Please spread the word! More details: https://neuralcomputation.uk/ Enquiries: uknc24(a)sheffield.ac.uk<mailto:uknc24@sheffield.ac.uk> Organisers Hannes Saal (Sheffield) Stuart Wilson (Sheffield) Mark Humphries (Nottingham) This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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Call for Papers: Neuromorphic Artificial Intelligence and Its Applications: Retrospective and Prospective
by Vassilis Cutsuridis Dec. 31, 2024

Dec. 31, 2024

Dear colleagues, We would like to invite you to submit an article to the Special Issue "Neuromorphic Artificial Intelligence and Its Applications: Retrospective and Prospective<https://www.mdpi.com/journal/brainsci/special_issues/ID2J799RH5>" organized by the Brain Sciences journal (MDPI). Scope Neuromorphic artificial intelligence (AI), inspired by the structures of brains, constitutes a new shift in the development of AI technology that is able to process vast amounts of information extremely quickly, accurately, and expending far less energy than any AI/DL system. It is unparalleled in its ability to rapidly, and on its own, adapt and learn from changing and unexpected environmental contingencies with very limited resources. Because it utilizes event-based processing in which neurons spike only in response to specific stimuli, at any given time only a small fraction of neurons is active, drastically reducing energy consumption. Thus, neuromorphic AI is ideal for low-power devices such as mobile phones or cameras and, because it utilizes temporal coding as a form of efficient information processing, it is extremely precise and fast allowing visual recognition in the human brain to be achieved in less than 100ms. To learn stably about the world, it uses temporal learning, a type of continual learning that depends on the timing of spikes. Neuromorphic AI is expected to open new roads to computing technologies (software and hardware) and pave the way to true artificial general intelligence. This Special Issue aims to solicit articles that report state-of-the-art approaches to and recent advances in: 1. Novel neuromorphic architectures and models constrained by neurobiological data from multiple levels of detail showing mastery in all faculties, including sensory recognition, learning and memory, decision making, cognitive control, reasoning, language processing, and consciousness; 2. Learning algorithms constrained by the limits of biology and neuromorphic hardware; 3. Neuromorphic hardware (sensors, chips, cameras, etc.) for cognitive systems; 4. Applications of neuromorphic architectures or hardware to cognitive robotics; 5. Application of neuromorphic architectures or hardware to all other aspects of science and technology including healthcare, medical imaging, environment, etc.; This Special Issue will bring together scientists with diverse backgrounds to discuss current concepts and exciting new results in this broad field, cutting across disciplines and focusing on topics that have a high potential to synergize. It is expected that this Special Issue will generate valuable new insights and highlight promising directions of future progress. Research articles, review articles, opinion articles, theory and hypothesis articles, short communications. Manuscript Submission Information Manuscripts should be submitted online at www.mdpi.com<https://www.mdpi.com/> by registering<https://www.mdpi.com/user/register/> and logging in to this website<https://www.mdpi.com/user/login/>. Once you are registered, click here to go to the submission form<https://susy.mdpi.com/user/manuscripts/upload/?journal=brainsci>. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors<https://www.mdpi.com/journal/brainsci/instructions> page. Brain Sciences<https://www.mdpi.com/journal/brainsci/> is an international peer-reviewed open access monthly journal published by MDPI. Please visit the Instructions for Authors<https://www.mdpi.com/journal/brainsci/instructions> page before submitting a manuscript. The Article Processing Charge (APC)<https://www.mdpi.com/about/apc/> for publication in this open access<https://www.mdpi.com/about/openaccess/> journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service<https://www.mdpi.com/authors/english> prior to publication or during author revisions. Deadline for manuscript submissions: 31 August 2025 Best wishes, Vassilis Cutsuridis --- Dr Vassilis Cutsuridis Associate Professor in Computer Science School of Engineering, Computing and Mathematics University of Plymouth, Drake Circus, Plymouth, UK, PL4 8AA Email: vassilis.cutsuridis(a)plymouth.ac.uk Web: https://www.plymouth.ac.uk/staff/vassilis-cutsuridis *** I work strange hours. You may receive emails from me outside of office hours, but please do not feel you need to reply outside of office hours. ________________________________ [https://www.plymouth.ac.uk/images/email_footer.gif]<http://www.plymouth.ac.uk/worldclass> This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, University of Plymouth accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. University of Plymouth does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form.

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Deadline extended School on the Origins of Life, Behavior and Cognition 2025
by Ahmed El Hady Dec. 30, 2024

Dec. 30, 2024

*School on the Origins of Life, Behavior and Cognition* *March 10-21, 2025* *ICTP-SAIFR, São Paulo, Brazil* */Application Deadline:/ January 5, 2025* School on Origins is an interdisciplinary school that tackles the foundational questions concerning the origins of biophysical systems which include but are not limited to : molecular, cellular, neural and behavioral systems. We aim to find principles shared across systems using tools from statistical physics, mathematical analysis and numerical simulations to explore these questions. We have invited researchers that work both on the experimental and theoretical side to cover a variety of biophysical systems and theoretical approaches. The school is aimed at graduate students either at the master’s or PhD level who have a strong quantitative background and a keen interest to pursue interdisciplinary research. We invite students pursuing degrees in physics, computer science, engineering, or mathematics. Those pursuing degrees in biology need to provide evidence of strong and extensive quantitative background in topics such as calculus, dynamical systems and numerical programming. /There is no registration fee and limited funds are available for travel and local expenses./ *Organizers:* * *Ahmed El Hady* (Cluster of Excellence Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Germany.) * *Antonio C. Roque* (USP Ribeirão Preto, Brazil) * *Daniel Y. Takahashi* (UFRN, Brazil) *Lecturers:* * *Suzanne Still* (University of Hawaii at Mānoa, USA) * *Randall Beer* (Indiana University Bloomington, USA) * *Asif Ghazanfar* (Princeton University, USA) * *Don Katz* (Brandeis University, USA) * *Gandhimohan M. Viswanathan* (Universidade Federal do Rio Grande do Norte – UFRN, Brazil) * *Bruno Mota* (Federal University of Rio de Janeiro, Brazil) * *Ana Amador* (University of Buenos Aires, Argentina ) All details and application procedure can be found here: https://www.ictp-saifr.org/solbc2025/ All the best, Ahmed El Hady Dr. Ahmed El Hady Research Group Leader Cluster for Advanced Study of Collective Behavior University of Konstanz / Max Planck Institute of Animal Behavior Universitätsstraße 10, 78464 Konstanz Room ZT 907 Postbox 687 Tel.: +49 7531 88-4742

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Summer school "Cognitive Foundations of Decision-Making" in Ghent, Belgium - CORRECTED LINK
by Rava A. da Silveira Dec. 24, 2024

Dec. 24, 2024

Applications are open for the second edition of the interdisciplinary summer school “*Cognitive Foundations of Decision-Making.”* The summer school is aimed at young scholars interested in decision-making in general, and the neural and cognitive foundations of decision-making in particular, regardless of their background. The summer school will be held from *June 30 to July 4, 2025*, at Ghent University, in Ghent, Belgium. Information, including details on how to apply, can be found at https://www.rislab.net/summer-school-2025. The lecturers will include Rava Azeredo da Silveira (University of Basel and University of Zurich), Ryan Oprea (University of California at Santa Barbara), Elise Payzan LeNestour (UNSW Business School), Arthur Robson (Simon Fraser University), Christian Ruff (University of Zurich). Additional speakers to be announced soon.

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Modellers Workshop for the Brain Dynamics Toolbox
by Stewart Heitmann Dec. 24, 2024

Dec. 24, 2024

Enrolments are now open for the Modellers Workshop for the Brain Dynamics Toolbox. This is an online course for researchers who wish to build custom dynamical models in matlab using the Brain Dynamics Toolbox. The course focuses on practical programming techniques for the major classes of differential equations (ordinary, partial, delay, stochastic) in computational neuroscience. Example code is provided in all cases. Study time is 8 hours. Upon completion, students will be able to turn differential equations into working simulations. Course Website https://bdtoolbox.teachable.com/p/modellers-workshop Toolbox Website https://bdtoolbox.org Important Dates Enrolments close 31st Jan 2025. Disclaimer The information contained in this communication from the sender is confidential. It is intended solely for use by the recipient and others authorized to receive it. If you are not the recipient, you are hereby notified that any disclosure, copying, distribution or taking action in relation of the contents of this information is strictly prohibited and may be unlawful. This email has been scanned for viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business. Providing a safer and more useful place for your human generated data. Specializing in; Security, archiving and compliance. To find out more visit the Mimecast website.

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Summer school "Cognitive Foundations of Decision-Making" in Ghent, Belgium
by Rava A. da Silveira Dec. 23, 2024

Dec. 23, 2024

Applications are open for the second edition of the interdisciplinary summer school “*Cognitive Foundations of Decision-Making.”* The summer school is aimed at young scholars interested in decision-making in general, and the neural and cognitive foundations of decision-making in particular, regardless of their background. The summer school will be held from *June 30 to July 4, 2025*, at Ghent University, in Ghent, Belgium. Information, including details on how to apply, can be found at https://www.rislab.net/summerschool. The lecturers will include Rava Azeredo da Silveira (University of Basel and University of Zurich), Ryan Oprea (University of California at Santa Barbara), Elise Payzan LeNestour (UNSW Business School), Arthur Robson (Simon Fraser University). Additional speakers to be announced soon.

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Open research positions in the Cluster of Excellence “Bilateral AI”
by Robert Legenstein Dec. 20, 2024

Dec. 20, 2024

We are seeking highly motivated and talented PostDoc and PhD-candidates to join our dynamic research team for combining symbolic and sub-symbolic AI. It offers a unique opportunity to create a new level of artificial intelligence. *Apply now and become part of groundbreaking research in AI!* The successful candidates will conduct research in collaboration with all partner institutes JKU, AAU Klagenfurt, ISTA, TU Graz, TU Vienna, and WU Vienna. Explore the open positions on our website https://www.bilateral-ai.net/jobs/ or directly at one of our six partner-institutions in Austria: At TU Graz: https://www.tugraz.at/institute/igi/institute/open-positions/bilai-jobs At JKU Linz: https://www.jku.at/lit-artificial-intelligence-lab/news-events/open-positio… At TU Vienna: https://www.vcla.at/2024/08/open-positions-cluster-of-excellence/ At WU Vienna: https://www.wu.ac.at/en/dpkm/news-details/detail/open-positions-in-the-clus… At ISTA in Vienna:https://www.ista.ac.at/en/education/postdocs/ At AAU Klagenfurt: https://aics.aau.at/open-positions-cluster-of-excellence/ *Why join us?* * Be part of a growing, dynamic AI research community * Shape the development of Broad AI with focus on ethics, transparency, and real-world applications * Work in an inspiring academic environment at one of Austria’s top universities and institutions -- Dr. Robert Legenstein Univ.-Professor Institute of Theoretical Computer Science Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.iml.tugraz.at/legi/ WebEx:https://tugraz.webex.com/meet/robert.legenstein ++43/316/873-5824 ----------------------------------

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