- Comp-neuro - lists.cnsorg.org

Seizure detection challenge (2025)

by Jonathan Dan

Hello, EPFL is organizing a competition in collaboration with the International Conference on Artificial Intelligence in Epilepsy and Other Neurological Disorders. The competition aims to develop epileptic seizure detection algorithms for assisting in the analysis of scalp electroencephalography. It is open to anyone with skills in machine learning and artificial intelligence. This competition should help identify algorithms well suited for hospital adoption while simultaneously pushing for open and reproducible science. You will find a description of the competition on https://epilepsybenchmarks.com/challenge Hurry up! We are expecting algorithm submissions by 16 February 2025. Happy hacking Jonathan Dan Post-Doc ESL-EPFL

Dec. 3, 2024

Postdoc and PhD call | Spatiotemporal dynamics and computation in cortical networks

by Lyle Muller

Postdoctoral and graduate research positions are available at Western University<http://mullerlab.ca/> (London, ON) and the Fields Lab for Network Science<http://www.fields.utoronto.ca/activities/fields-lab-network-science> (Toronto, ON). These positions will be supervised by Lyle Muller and involve collaborations with advanced methods of brain imaging (Mark Schnitzer, Stanford), neuroengineering (Duygu Kuzum, UCSD), theoretical neuroscience (Todd Coleman, Stanford), and neurophysiology of visual perception (John Reynolds, Salk Institute for Biological Studies). In collaboration with this multi-disciplinary team, researchers will bring together data science, computational science, and applied mathematics to understand spatiotemporal dynamics and computation in the circuits of neocortex. The project may include intermittent travel between labs to present results and facilitate collaborative work. Recent publications from the lab include: * Davis Z*, Muller L*, Martinez-Trujillo J, Sejnowski TJ, Reynolds J (2020) Spontaneous traveling cortical waves gate perception in awake behaving primates. Nature 587: 432 – 436.<https://www.nature.com/articles/s41586-020-2802-y> * Benigno G, Budzinski RC, Davis Z, Reynolds J, Muller L (2023) Waves traveling over a map of visual space can ignite short-term predictions of sensory input. Nature Communications 14: 3409. <https://www.nature.com/articles/s41467-023-39076-2> * Liboni L*, Budzinski RC*, Busch AN*, Löwe S, Keller TA, Welling M, Muller L (2023) Image segmentation with traveling waves in an exactly solvable recurrent neural network. arXiv:2311.16943.<https://arxiv.org/abs/2311.16943> * Busch A*, Roussy M*, … Mináč J, Sachs AJ, Palaniyappan L, Muller L*, Martinez-Trujillo JC* (2024) Neuronal activation sequences in lateral prefrontal cortex encode visuospatial working memory during virtual navigation. Nature Communications 15: 4471.<https://www.nature.com/articles/s41467-024-48664-9> * Budzinski RC*, Busch A*, Mestern S, Martin E, Liboni LHB, Pasini FW, Mináč J, Coleman T, Inoue W, Muller L (2024) An exact mathematical description of computation with transient spatiotemporal dynamics in a complex-valued neural network. Communications Physics 7: 239.<https://www.nature.com/articles/s42005-024-01728-0> Prior experience with scientific computing, signal analysis, and applied mathematics is preferred. Western University offers an excellent research environment and support. Candidates can write to lmuller2(a)uwo.ca<mailto:lmuller2@uwo.ca> with a CV and short statement of interest. Both the lab and the University are deeply committed to fostering diversity and scientific outreach. Applications from underrepresented groups are strongly encouraged, and any interested applicants are welcomed to write the PI directly with questions about the research environment. -- Lyle Muller http://mullerlab.ca

Dec. 2, 2024

Permanent position in mathematical stochastic modeling of neuromodulation

by Axel Hutt

------------------------------------------------------------------------------------ Permanent position in mathematical stochastic modeling of neuromodulation in brain networks and application to mental disorders ------------------------------------------------------------------------------------ The new research team NECTARINE at INRIA in Strasbourg / France aims to create a synergy between clinicians and mathematical researchers to develop new healthcare technologies. The team works on stochastic microscopic network models to describe macroscopic experimental data, such as behavior and/or encephalographic. They collaborate closely with clinicians and choose their research focus along the clinical applications. Major scientific objectives are stochastic multi-scale simulations and mean-field descriptions of neural activity on the macroscopic scale. Moreover, merging experimental data and numerical models by machine learning techniques is an additional objective. The team's clinical research focuses on neuromodulation of patients suffering from deficits in attention and temporal prediction. The team offers the possibility to apply for a permanent position as Chargé de Recherche (CR) or Directeur de Recherche (DR) in the research field of mathematical neuroscience with a strong focus on stochastic dynamics linking brain network modelling with experimental data. The new colleague should have a strong expertise in mathematical modeling with a focus on stochastic nonlinear dynamics and/or network dynamics, as well as strong interest in clinical applications. Strong programming skills are mandatory. INRIA is a French National Institute for Research in Digital Science and Technology ( [ https://www.inria.fr/en | https://www.inria.fr/en ] ) with 9 research centres in France. The new team will be located in the centre of Strasbourg on the hospital campus as part of the Research Centre in Nancy. The application deadline will be January 15, 2025 , but it is strongly recommended to contact us well in advance. For more details or sending your application documents (motivation letter, CV including publication list), please contact Dr. Axel Hutt (email: axel.hutt(a)inria.fr ) . -- Axel Hutt Directeur de Recherche Equipe MIMESIS INRIA Nancy Grand Est Bâtiment IHU 1, Place de l'Hopital 67000 Strasbourg, France [ https://mimesis.inria.fr/members/axel-hutt/ | https://mimesis.inria.fr/members/axel-hutt/ ]

Dec. 2, 2024

Postdoctral position at the Department of Biomedical Data Science, School of Medicine, Fujita Health University (FHU), Aichi, Japan

by 浦久保秀俊

We invite applications for an enthusiastic postdoctoral researcher in the area of computational neuroscience or systems biology. A new collaborative project with Kyushu U (#) has been launched to elucidate biochemical signaling involved in the development of the olfactory system. We are working on a project to simulate how neural circuits in the brain acquire function through development. As an example, we are focusing on the process of mitral cell dendritic pruning that leads to the acquisition of odor selectivity (Fujimoto 2023, Dev Cell 58, 1221–1236). This process is governed by the coupling of biochemical signaling of small G proteins and neuronal electrical activity. In addition, the neural circuit simulation will be performed to elucidate the emergent process of odor information processing. The NEURON simulator or other platform simulators will be useful for this project. (#) Grant-in-Aid for Transformative Research Areas(A), Japan Society of the Promotion of Science (JSPS), Japan. https://plaza.umin.ac.jp/dynamic-brain/en/ 1. Job title Full-time Postdoctoral Researcher 2. Begin date January 1st 2025 or later (negotiable) 3. Appointment period Annually renewed based on evaluation. Up to March/2029. 4. Workplace Fujita Health University (FHU), Aichi, Japan https://www.fujita-hu.ac.jp/en/ 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi 470-1192, Japan 5. Qualifications Applicants must: - have Ph.D. (or be near the completion of the degree). - have strong motivations and ambitions to participate in the research above. 6. Compensation Salary will be commensurate with qualifications and experience. Social insurance will be applied. Days off include public holidays, New Year's holidays (Dec. 29 - Jan 3), summer vacation, and sick leave. These and other provisions are in accordance with FHU regulations. 7. Required documents Please send the following five materials to the email address below: 1. Complete CV 2. List of publications 3. Reprints of 1 to 3 major publications 4. Document (one or two pages in A4 or letter size) describing: - Summary of your previous research and current interest. - Relevance to the project research and potential contributions. Describe your skills in neuronal and neural circuit simulations and their relevance to Fujimoto 2023 (Dev Cell 58, 1221-1236). - Technical skills (programming skills, etc). 5. One letter of recommendation, if available, from the current supervisor. 8. Selection Selection will be made based on application screening and interviews. 9. Others No smoking allowed on the premises of FHU. 10. Application and Contact Hidetoshi Urakubo, Ph.D. Email: hidetoshi.urakubo(a)fujita-hu.ac.jp Department of Biomedical Data Science, School of Medicine, Fujita Health University (FHU), 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi 470-1192, Japan Phone: +81-562-93-9628 https://researchmap.jp/urakubo?lang=en https://www.fujita-hu.ac.jp/~datascience/

Dec. 2, 2024

Fully funded 3-year PhD scholarships in computational neuroscience, neurotechnology and AI available

by Wong-Lin, Kongfatt

============================================================== Professor KongFatt Wong-Lin has several fully funded 3-year PhD research scholarships in computational neuroscience, neurotechnology and AI available. He is the lead/main supervisor for two of the available PhD scholarships on bridging fundamental cognitive computational neuroscience of decision-making and learning to brain-inspired AI algorithms. Applications are available from 2nd December 2024 at: * https://www.ulster.ac.uk/doctoralcollege/find-a-phd/11b-intelligent-systems… [Open to international or UK/Ireland applicants; deadline: 24th February 2025] * https://www.ulster.ac.uk/doctoralcollege/find-a-phd/11b-intelligent-systems… [Open to international or UK/Ireland applicants; deadline: 24th February 2025] Two other PhD scholarships are also available on neurotechnology and machine learning: * https://www.ulster.ac.uk/doctoralcollege/find-a-phd/11b-intelligent-systems… [Open to international or UK/Ireland applicants; deadline: 24th February 2025] * https://www.ulster.ac.uk/doctoralcollege/find-a-phd/11b-intelligent-systems… [Open only to UK/Ireland applicants; deadline 9th Jan 2025] Please kindly direct any queries to Prof. Wong-Lin (k.wong-lin(a)ulster.ac.uk) Many thanks. The research teams involved in the PhD projects: * https://www.ulster.ac.uk/research/topic/computer-science/intelligent-system… * https://www.ulster.ac.uk/research/topic/computer-science/intelligent-system… Our School and its Intelligent Systems Research Centre (https://www.ulster.ac.uk/research/topic/computer-science/intelligent-system…) have neuroscience and AI related research communities and facilities in: * NeuroAI and computational neuroscience * Brain-computer interfaces/non-invasive neurotech * MEG and EEG brain imaging * Neuromorphic computing * Cognitive robotics * High-performance computing ----------------- In 2021, Ulster University was, in the UK: * ranked 2nd for Ph.D. researcher satisfaction * 6th largest Computer Science and Informatics unit * 7th for world-leading or internationally excellent research and impact with respect to staff number. Derry~Londonderry is a vibrant, friendly and affordable city with ~100K people with high quality of life, close to stunning coastline and outdoor activities in the north and north-west of Northern Ireland and Republic of Ireland. Ulster University has recently been awarded by Times Higher Education as the 'University of the Year 2024', the top higher education institution in the UK and Ireland. ============================================================== Professor KongFatt Wong-Lin Intelligent Systems Research Centre School of Computing, Engineering and Intelligent Systems Ulster University, Derry~Londonderry, UK E-mail: k.wong-lin(a)ulster.ac.uk Web: https://www.ulster.ac.uk/staff/k-wong-lin 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

Dec. 1, 2024

World wide VVTNS series: Wednesday, December 4, 2024, at 11:00 am EST| Laura Driscoll Allen Institute

by David Hansel

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Laura Driscoll Allen Institute on the topic of Task structure shapes underlying dynamical systems that implement computation The lecture will be held on zoom on Wednesday, December 4, 2024, at *11:00 am EST * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *The talk will be in two parts. 1) First, I will present published work on multitasking artificial recurrent neural networks that revealed "dynamical motifs". Dynamical motifs are recurring patterns of network activity that implement specific computations through dynamics, such as attractors, decision boundaries and rotations. Motifs are reused across tasks and reflect the modular subtask structure of commonly studied cognitive tasks. We believe this compositional structure to be a feature of most complex cognitive tasks. This work establishes dynamical motifs as a fundamental unit of compositional computation, intermediate between neuron and network. 2) Building on these insights, we are now investigating whether shared dynamical motifs can explain the effectiveness of curriculum learning in animal behavior. Also known as animal shaping, curriculum learning is a training approach where complex tasks are learned in stages through a series of subtasks. Our work provides a novel framework for analysis of neural and behavioral data and has the potential to guide the design of optimal training protocols for both artificial systems and for animals. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ

Dec. 1, 2024

Postdoc in animal behaviour at Bristol University

by Conor Houghton

We have a new BBSRC funded project that will develop automated methods to quantify reward learning in chickens and dogs as well as expanding studies in mice. The project will involve both behavioural studies and working with engineers to develop novel automated devices to test reward learning in animals with minimal human interactions. The ultimate goal will be to validate methods for the unbiased assessment of animal welfare. This is an exciting opportunity to study behaviour in non-laboratory conditions and across species, including in chickens, an endlessly fascinating social animal. We are looking for someone interested in animal behaviour and keen to work on novel devices; we welcome applicants with a computer science or engineering background who is excited to be involved in experiments, or someone with an experimental background eager to learn a bit of programming and some modelling. Deadline 2024-12-17, details at https://www.bristol.ac.uk/jobs/find/details/?nPostingId=185738&nPostingTarg… and feel free to email me, as co-I, or Emma Robinson the PI (emma.s.j.robinson(a)bristol.ac.uk) for any informal queries. All the best Con ______________________________ Conor Houghton SEMT, Bristol University. Michael Ventris Building, Woodland Road BS8 1UB, Bristol conorhoughton.github.io pronouns: he / him

Nov. 30, 2024

Post-Doct Position in brain-inspired AI development at University of California, San Francisco (UCSF) and Lawrence Berkeley National Laboratory (LBNL)

by Kirst, ChrIstoph

Post-Doctoral Researcher at UCSF and Lawrence Berkeley National Laboratory in brain inspired AI development – start date ASAP Position Description We are seeking a postdoctoral researcher for a three-year project within the Kirst lab at University of California, San Francisco (UCSF) and the Lawrence Berkeley National Laboratory (LBNL) located in San Francisco and Berkeley, California, USA. The project is at the interface between brain-inspired AI-Development and energy efficient neuro-morphic hardware development. Start date is as soon as possible (date may be negotiable) and will last for approximately 36 months. The post-doctoral researcher will join a team of researchers at UCSF and LBNL to develop on a new brain inspired AI technology for fast long sequence processing with applications to neuroscience, neuro-prosthetics and well as edge computing applications, including analysis of large data streams form X-ray microscopy and spectroscopy performed at LBNL. The AI technology will be co-developed to run on energy efficient neuro-morphic hardware based on CMOS and superconducting electronics with teams at LBNL and University of Southern California. A mix of theoretical, algorithmic and AI development work is expected, as well as communicating closely with our hardware teams. We are interested in maintaining the rich diversity in our work teams and encourage applications from all interested candidates. Qualifications The ideal candidate will have a PhD, strong quantitative, dynamical systems, computational neuroscience, and machine learning skills, experience in developing AI models, and enthusiasm for advancing AI hardware technologies. The candidate should be creative, enjoy problem-solving, and developing new tools, and be prepared to collaborate within a larger team with diverse expertise. Appropriate background/training includes systems or engineering, physics, machine learning and data science, as well as computer science. Application Instructions Please send your motivation letter, CV with publication list, one-page personal research statement, and contact information of three referees, to with subject line “[CV-POSTDOC] <Your Name>” to christoph.kirst(a)ucsf.edu Job Type: 100% Work Location: In person or remote (within the USA) Funding: The project is a collaborative project funded by the Department of Energy's Advancements in Artificial Intelligence for Science program. Christoph Kirst Assistant Professor Department of Anatomy Kavli Institute for Fundamental Neuroscience University of California San Francisco Faculty Scientist Lawrence Berkeley National Laboratory Sandler Neuroscience Building 675 Nelson Rising Lane, Suite 514G San Francisco, 94158, CA, USA Phone: 415-502-7372 https://profiles.ucsf.edu/christoph.kirst [cid:5776af05-17bc-46c3-9061-4f3a4a9ee2c9]

Nov. 30, 2024

Re: 2024 Bonsai Developer Conference

by Joaquin Rapela

Reminder: Bonsai Developers Conference Next Week Dear all, We’re excited to remind you that the First Bonsai Developers Conference will take place next week, from Monday, December 2, to Friday, December 6, 2024, between 9:00 AM and 4:00 PM (GMT). The event will be held at the Sainsbury Wellcome Centre in London, UK, and will also be accessible online via the following Zoom link: https://ucl.zoom.us/j/98727664572 You can find the program, schedule, and other details on the official conference website: https://conference.bonsai-rx.org/2024/ If you have any questions or need further information, feel free to contact us at: conference(a)bonsai-rx.org We look forward to your participation! Best regards, Joaquin On Tue, Oct 22, 2024 at 05:27:20PM +0100, Joaquin Rapela via Comp-neuro wrote: > ⚠ Caution: External sender > > > Hello, > > We are excited to invite you to the 2024 Bonsai Developer Conference, taking > place from December 2nd to 4th, 2024, at the Sainsbury Wellcome Centre in > London, UK. This event brings together neuroscience researchers, computational > scientists, and software engineers with a shared interest in the Bonsai visual > reactive programming language. > > The conference program and additional details can be found at > https://conference.bonsai-rx.org/2024/ > > About Bonsai > ------------ > > Bonsai https://bonsai-rx.org/ is an open-source reactive visual programming language > widely use for neuroscience experimental control. > > Differently from standard programming languages where control flow is specified > by composing sequences of instructions, and checking conditional loops > for the occurrence of events, in reactive languages https://introtorx.com/ > the control flow is specified by composing event streams. By placing asynchronous > data streams front and centre, it becomes much easier to succinctly build complex > programs manipulating hundreds of parallel data sources and controllers while > retaining interoperability and modularity. > > Bonsai is a visual programming language where programs are laid out graphically. > Each node represents a data stream, and edges represent input dependencies > between streams. Parameters can be manipulated dynamically and every stream can > be inspected at runtime. This graphical approach allows users with no programming experience > to create complex asynchronous programs, and experienced Bonsai users to very quickly > deploy and manage entire systems and applications. > > Bonsai is able to interface with a large number of experimental hardware > for neuroscience experimental control, allowing researchers to easily build > sophisticated experiments. > > We look forward to see you in London! > > Best regards, > > Goncalo Lopes g.lopes(a)neurogears.org > Nicholas Guilbeault n.guilbeault(a)ucl.ac.uk > Joaquin Rapela j.rapela(a)ucl.ac.uk > > _______________________________________________ > Comp-neuro mailing list -- comp-neuro(a)lists.cnsorg.org > Mailing list webpage (to subscribe or view archives): https://www.cnsorg.org/comp-neuro-mailing-list > > To contact admin/moderators, send an email to: comp-neuro-owner(a)lists.cnsorg.org > To unsubscribe, send an email to comp-neuro-leave(a)lists.cnsorg.org

Nov. 29, 2024

Announcing Okinawa/OIST Computational Neuroscience Course 2025 (OCNC 2025)

by Erik De Schutter

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)

Nov. 28, 2024