- Comp-neuro - lists.cnsorg.org

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

Tenure-Track, Assistant/Associate Professor in Computational Neuroscience

by Kenneth Kishida

I’m very excited to announce a new recruitment effort in the Department of Translational Neuroscience at Wake Forest University School of Medicine. I’m chairing an inclusive and diverse search committee with the hopes of expanding computational neuroscience in our highly collaborative and supportive department. Please read more and repost this ad for a new tenure track (Asst/Assoc) faculty position. Please follow the link here: Computational Neuroscience Job Posting<https://emis.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1…> -- Kenneth T. Kishida, PhD (he/him) Associate Professor Wake Forest University School of Medicine Department of Translational Neuroscience Department of Neurosurgery Department of Biomedical Engineering Bowman Gray Center for Medical Education, 475 Vine St. Winston Salem, NC 27101 office: 336-716-0419 lab: 336-716-8537 email: kkishida(a)wakehealth.edu https://school.wakehealth.edu/Faculty/K/Ken-Kishida (viz: www.kishidalab.com<http://www.kishidalab.com> ) ________________________________ This electronic message is intended only for the use of the individual(s) and entity named as recipients in the message. If you are not an intended recipient of this message, please notify the sender immediately and delete the material from any computer. Do not deliver, distribute or copy this message, and do not disclose its contents or take any action in reliance on the information it contains. Thank you.

Nov. 27, 2024

GEM2025 - Conference on generative episodic memory - call for abstracts

by Vinita Samarasinghe

The DFG-funded research consortium “FOR 2812 – Constructing scenarios of the past” is proud to announce a *call for abstracts* for its biennial conference “/Generative Episodic Memory: Interdisciplinary perspectives from neuroscience, psychology and philosophy/” *GEM 202**5.* It will be held *in person* at the Ruhr University Bochum, Germany from 2^nd to 4^th June, 2025. For more information please visit https://for2812.rub.de/gem2025. Episodic memories are widely regarded as memories of personally experienced events. Early concepts about episodic memory were based on the storage model, according to which experiential content is preserved in memory and later retrieved. However, overwhelming empirical evidence suggests that the content of episodic memory is – at least to a certain degree – constructed in the act of remembering. Even though very few contemporary researchers would oppose this view of episodic memory as a generative process, it has not become the standard paradigm of empirical memory research. This is particularly true for studies of the neural correlates of episodic memory. Further hindering progress are large conceptual differences regarding episodic memory across different fields, such as neuroscience, philosophy, and psychology. This interdisciplinary conference therefore aims to bring together researchers from all relevant fields to advance the state of the art in the research on generative episodic memory. *Keynote speakers: * Ali Boyle (LSE); Neil Burgess (UCL); Iris Engelhard (U. Utrecht); Johannes Mahr (York U.); Jeremy Manning (Dartmouth) *Funding for early career researchers is available *(visit our ECR page <https://for2812.rub.de/gem2025/early_career_researcher_programs> for more details). *Abstract* submission deadline: 15.03.2025 Submission guidelines: Abstracts must be submitted in English and be no longer than 500 words. Submitted work must be original and unpublished and submitted electronically at https://www.conftool.net/gem202 <https://www.conftool.net/gem2023/>5/ <https://www.conftool.net/gem2023/>. Types of submissions: * Talk * Symposium: Must comprise 3 talks and be interdisciplinary in nature, i.e., talks must cover at least two of the following disciplines: computational neuroscience, philosophy, psychology, neuroscience. * Poster /*For more information please visit https://for2812.rub.de or contact Vinita Samarasinghe at for2812(a)rub.de*/ Kind regards, Vinita -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27996 Email:samarasinghe@ini.rub.de

Nov. 27, 2024

Looking for a lead designer at Thinking About Thinking (educational neuroAI non-profit that organizes conferences)

by Ruairidh Battleday

Dear Mind, Brain, and AI researchers, We very much enjoyed meeting many of you at Thinking About Thinking <http://www.thinkingaboutthinking.org/> events this past year, with some still to come in Boston <http://www.algopreneurship.ai/>! We are an educational non-profit that holds open-access research conferences and Summits on foundational computational questions in cognitive science, neuroscience, and machine learning / AI. At Thinking About Thinking we are scaling up, aiming to run more, larger open-access events and beginning to produce extra content---podcasts, blogs, interviews, etc. As part of that process, we are looking for a lead designer (who would be paid on a per-hour basis, but be a full part of the ThAT team). It is very important to us to have someone that understands cognitive science, neuroscience, and AI to do the design work, as we are very keen on keeping these sets of concepts at our core. If you think you are that person, want to join an extremely fun team working at the cutting-edge of science and society, or know anyone that might, please do reach out! Many thanks for the attention, and all the best! Ruairidh and the Team -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking (www.thinkingaboutthinking.org) Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

Nov. 26, 2024

CFP - 2025 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO 2025)

by nagai.yukie＠mail.u-tokyo.ac.jp

Dear colleagues, 2025 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO 2025) July 17th-19th, 2025, Osaka, Japan https://ieee-arso.org Advanced robots are expected to enter in promising applications in our future society and bring substantial impacts. The increasing implementation of AI-based components even broaden their fields of application. To ensure that these impacts are positively reflected, today, we need to extend views not only on technical aspects but also on social challenges that we might face, including safety, regulation, ethics, human factors, and philosophy. The topics of ARSO 2025 include, but are not limited to the following: • Human-robot interaction in physical & psychological aspects • Safety standards for advanced robots & autonomous systems • Legal and ethical issues for advanced robots • Impact of robotics on society, e.g. robot business, marketing & economic impact • Robotics for sustainability, climate change or civil aid • Advanced industrial robots for future manufacturing • Healthcare & medical applications • Rehabilitation and transfer robotics • Service & assistance applications • Entertainment & education robotics • Robotics & autonomous driving • Bio-inspired robotics • Soft and wearable robotics Important Dates: Submission of Organized Session Proposal: Jan. 15, 2025 Initial Paper Submission: Feb. 28, 2025 Workshop Proposal Submission: Feb. 28, 2025 Notification of Paper Acceptance: Apr. 28, 2025 Final Paper Submission: May 30, 2025 General Chairs: Minoru Asada, Japan Silvia Rossi, Italy Program Chairs: Kensuke Harada, Japan Emel Demircan, USA Astrid Weiss, Austria Best regards, Yuji Kawai and Yukie Nagai, Publicity Chairs of ARSO2025 — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Feelings: https://cognitive-feeling.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org

Nov. 26, 2024

PhD Opportunity: Machine Learning Methods for Invariant Representations

by Georgios Exarchakis

Dear all, The *University of Bath* invites applications for a fully-funded PhD position in *Machine Learning*, as part of the prestigious *URSA competition*. This project focuses on developing *interpretable machine learning methods* for high-dimensional data, with an emphasis on recognizing symmetries and incorporating them into efficient, flexible algorithms. *Key Details* * *Supervisory Team*: Dr. Georgios Exarchakis & Prof. Michael Tipping * *Research Focus*: Interpretable and deep learning methods, feature learning, and invariant representations * *Applications*: Astronomy, quantum chemistry, medical imaging, computer vision, and more This PhD position offers the opportunity to work within a leading research environment, using state-of-the-art tools such as TensorFlow, PyTorch, and Scikit-Learn. The research outcomes have potential applications in diverse fields, and students are encouraged to bring creative and interdisciplinary approaches to problem-solving. *Eligibility* Applicants should have a strong academic background in Mathematics, Physics, Computer Science, or related fields (First Class or Upper Second Honours or equivalent). A master’s degree is advantageous. Non-UK applicants must meet the English language requirements. *Funding* The studentship covers tuition fees, a stipend of *£19,237 p.a.*, and access to a training support budget for 3.5 years. For more information and details on how to apply, visit UniversityofBathPhDOpportunities <https://www.findaphd.com/phds/project/faculty-of-science-ursa-phd-project-m…>, or send an email to Georgios Exarchakis at ge394(a)bath.ac.uk. Applications close on *December 6, 2024.* Best, Georgios* *

Nov. 25, 2024

Post-doc position at EPFL on Computational Visual Neuroscience

by Dimitri Van De Ville

Dear Comp-Neuro community, Kindly find a job ad for a post-doc position at EPFL on Computational Visual Neuroscience below. Best wishes, Dimitri — Post-Doctoral Researcher at EPFL on Computational Visual Neuroscience – start date ASAP Position Description We are seeking a postdoctoral researcher for a one-year (renewable) project within the MIP:Lab of the Ecole Polytechnique Fédérale de Lausanne (EPFL) located at the Campus Biotech in Geneva, Switzerland. The project is at the interface between an industrial partner (Dandelion Science) and the MIP:Lab headed by Prof. Dimitri Van De Ville. Start date is as soon as possible (date may be negotiable) and will last for approximately 15 months. At the end of the postdoc, there will be an opportunity to join the company as an employee. The post-doctoral researcher will join a team of academic and industrial group members to work on new computational modeling frameworks for rapidly time-varying functional networks in late sensory and non-sensory cortex in the context of biofeedback-influenced video viewing. A mix of theoretical, algorithmic, and empirical work is expected, in collaboration with an industrial partner in the healthcare technology/AI field providing behavioral and neural (streaming M/EEG) data. Some first-hand behavioral and neural data (M/EEG) is also expected to be acquired in the M/EEG Platform at the Campus Biotech. We are interested in maintaining the rich diversity in our work teams and encourage applications from all interested candidates. The salary range at EPFL is competitive and the quality of living in Switzerland is outstanding. Qualifications The ideal candidate will have a PhD, strong quantitative, signal processing, and machine learning skills, data analytic expertise (Python and Matlab), and enthusiasm for broadly advancing the treatment of neurological disorders. Experience with neuroimaging is required, preferably with human subjects. The candidate should be creative, enjoy problem solving, and be prepared to collaborate within a larger team with diverse expertise. Experience in commercial biomedical development is also preferred. Appropriate background/training includes systems or engineering, physics, machine learning and data science, as well as cognitive neuroscience. 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 dimitri.vandeville(a)epfl.ch Job Type: 100% Work Location: In person — Dimitri Van De Ville Professor, Fellow IEEE & EURASIP Neuro-X Institute EPFL - Ecole Polytechnique Fédérale de Lausanne Professor, Department of Radiology and Medical Informatics University of Geneva Switzerland URL: http://miplab.epfl.ch/ Twitter: @dvdevill

Nov. 24, 2024

apply to ITCN at Penn

by Maria Neimark Geffen

The Computational Neuroscience Initiative <https://www.cni.upenn.edu/> at the University of Pennsylvania offers a new program for Interdisciplinary Training in Computational Neuroscience (ITCN) at the doctoral level. The goal of the ITCN is to train a new generation of scientists who will make quantitative links between properties of the brain and properties of the mind. ITCN trainees will learn to use computational methodology to interpret experimental results, build predictive models of brain function that inform the design of the experiments, and support an ever-growing list of applications from brain-machine interfaces in the clinic to cutting-edge forms of artificial intelligence. The ITCN brings together students and faculty <https://www.cni.upenn.edu/people> from Penn’s PhD programs in Neuroscience <https://www.med.upenn.edu/ngg/> (Biomedical Graduate Studies, Perelman School of Medicine), Bioengineering <https://be.seas.upenn.edu/doctoral/> (School of Engineering and Applied Science), Physics <https://www.physics.upenn.edu/graduate/> (School of Arts and Sciences), and Psychology <https://psychology.sas.upenn.edu/graduate> (School of Arts and Sciences). To join the ITCN, students first apply to one of those "home" PhD programs. Once admitted, students then typically apply to the ITCN before starting classes in their first year. Those selected meet with the ITCN Advisory Committee, both individually and as a group, to develop individualized training plans that meet the goals and requirements of the ITCN and each student’s home program. These plans include coursework, research, and other activities that aim to build both expertise in computational neuroscience and a sense of community in the ITCN. Details are provided below. The ITCN embraces diversity and inclusion in their many forms, including welcoming students with a broad range of personal, professional, and academic backgrounds into both our training program and the field of computational neuroscience as a whole. *Application. *The application deadline is Dec. 1 for the Penn PhD programs! Prospective PhD students must first apply and be accepted into one of our participating graduate programs: Neuroscience <https://www.med.upenn.edu/ngg/>, Bioengineering <https://be.seas.upenn.edu/doctoral/>, Physics <https://www.physics.upenn.edu/graduate/>, or Psychology <https://psychology.sas.upenn.edu/graduate> (PhD students admitted to other PhD programs at Penn may also be considered; see below for additional requirements). Students typically apply to the ITCN before starting classes in their first PhD year, although we will also consider applications from students in more advanced years who believe they will be able to meet our academic requirements. Selection into the ITCN does not require a background in computational neuroscience. Instead, we require: 1) a brief (~½ page) essay describing why you want to join the ITCN and how it would fit into your training and career plans; 2) written permission from your Graduate Chair (and, for MD-PhD or VMD-PhD students, the Director of your Combined Degree Program); and 3) if you are not in one of our four participating programs, descriptions of the funding source(s) and course and research requirements for your home PhD program. Please send your application materials, and/or any questions, to Vijay Balasubramanian <vijay(a)physics.upenn.edu>, Maria Geffen <mgeffen(a)pennmedicine.upenn.edu>, and/or Joshua Gold <jigold(a)pennmedicine.upenn.edu>.

Nov. 22, 2024

Allen Institute Modeling Software Workshop 2025 - and a brief survey

by Anton Arkhipov

Dear Colleagues, Join us at the Allen Institute Modeling Software Workshop<https://alleninstitute.org/events/2025-modeling-software-workshop/> on July 28-30, 2025 at the Allen Institute in Seattle, WA! And whether applying to the Workshop or not, please help us understand what the field needs by filling out this brief survey<https://forms.office.com/pages/responsepage.aspx?id=1pxmMn9zOUuL3daVESDT_M4…>. That will be very helpful to guide our work. About the Workshop This hands-on workshop focuses on building and simulating complex and heterogeneous network models grounded in real biological data. Participants will learn to use BMTK, SONATA, VND, our data, and models for simulating brain circuits. Applications<https://alleninstitute.submittable.com/submit/306603/2025-allen-institute-m…> are due March 15th, 2025! Selected applicants will be notified by May 1, 2025. Limited travel funding is available. We are looking forward to hearing from you. Best regards, Anton. Anton Arkhipov Investigator, Allen Institute antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> alleninstitute.org<https://alleninstitute.org/> brain-map.org<https://portal.brain-map.org/>

Nov. 21, 2024