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

Reminder: Virtual neuroscience conference for trainees and early career researchers/professionals

by Pranjal Garg

*NeuroNovember Convention 2024* We invite you to join us for a virtual weekend-long neuroscience conference for trainees and early-career professionals on November 9-10, 2024. *About the Convention* NeuroNovember is a joint venture between Project Encephalon <https://www.projectencephalon.org/> and Simply Neuroscience <https://www.simplyneuroscience.org/>, designed to make quality, world-class science accessible to everyone, regardless of their ability to travel and attend in-person events. This collaboration represents a unique opportunity to amplify our collective impact on neuroscience education and awareness globally. NeuroNovember will feature scientific talks, workshops, abstract presentations, and various other opportunities to interact and network with prominent professionals, organizations, and ventures actively shaping the future of neuroscience. More details can be found at https://www.neuronovember.org/ *Abstract Submissions* Early-career researchers, trainees, scholars, and professionals are invited to submit abstracts for poster and oral presentations in neuroscience and related fields. More details can be found at https://www.neuronovember.org/abstracts Submission Deadline: September 15, 2024, 11:59 PM EST Please feel free to reach out to info(a)neuronovember.org with any queries or comments. We look forward to seeing you all there.

Sept. 5, 2024

Call for Papers NeurIPS Workshop on Symmetry, Geometry and Neural Representations (NeurReps)

by Simone Azeglio

Dear Colleagues, We are pleased to announce the call for papers for the NeurReps Workshop on Symmetry and Geometry in Neural Representations (www.neurreps.org) The workshop invites submissions contributing novel research incorporating symmetry, geometry, or topology into the design of artificial neural networks, the analysis of neural data, or theories of neural computation. Key Details: - Submission Deadline: September 13, 2024 11:59 PM AoE - Author Notification: October 9, 2024 11:59 PM AoE - Two submission tracks: 1. Proceedings Track (up to 9 pages, to be published in PMLR) 2. Extended Abstract Track (up to 4 pages) Themes of particular interest include: - Theory and methods for learning invariant and equivariant representations - Statistical learning theory in the context of topology, geometry, and symmetry - Representational geometry in neural data - Equivariant world models for robotics - Topological deep learning and topological data analysis - Geometric structure in language - Symmetries, dynamical systems, and learning We welcome both theoretical contributions and applied results in domains such as vision, motor control, navigation, and language. For full details on the call for papers, submission instructions, and LaTeX templates, please visit: https://www.neurreps.org/call-for-papers If you have any questions, please contact organizers(a)neurreps.org. We look forward to your submissions! Best regards, Simone Azeglio & NeurReps Workshop Organizers

Sept. 5, 2024

OPEN FACULTY POSITIONS, RIKEN Center for Brain Science, Japan

by Taro Toyoizumi

OPEN FACULTY POSITIONS (Brain science in general) https://cbs.riken.jp/career-brain-science-2024/index.html The RIKEN Center for Brain Science (CBS) was launched in April 2018 following the strong 20-year foundation of its predecessor, the Brain Science Institute (BSI). CBS aims to meet society’s ever-growing expectations for brain research. (For the four main goals of CBS, please visit, https://cbs.riken.jp/en/about/ ) We are currently seeking outstanding neuroscientists for Team Leader positions (junior principal investigators). However, applications from internationally established neuroscientists may be considered. To promote diversity, a strength of CBS, we proactively recruit women when the candidate's research skills are deemed equal. At RIKEN CBS, Team Leaders have full intellectual independence, generous internal funds including a highly competitive start-up package and access to ample communal facilities in a collaborative environment. Successful candidates for the Team Leader position must have demonstrated the ability to develop an original, independent and internationally competitive research program. We encourage applications from all disciplines of neuroscience, particularly in (1) research areas of neurological/psychiatric disorders and (2) theoretical and computational neuroscience. Successful candidates will hold a research management position, and as the head of a laboratory, they will provide leadership and guidance to laboratory members to conduct research. For details, please refer to the following website. https://cbs.riken.jp/en/careers/20240904_w24139_pi.html Application and letters of recommendation must arrive by 5 pm on November 15, 2024 (JST). Applicants should submit electronic files of a cover letter with a brief summary of their research program and future plans, curriculum vitae, list of research achievements and publications, list of acquired research funding, current research and achievements to date, future research plans, and reprints of five major publications maximum, through the application form. Three letters of recommendation must be directly submitted from the referees. Please see the website above for more details. --- Taro Toyoizumi, PhD Team Leader RIKEN Center for Brain Science https://toyoizumilab.riken.jp/taro/

Sept. 5, 2024

Postdoc in modeling cerebellar function

by Erik De Schutter

A postdoctoral position is available in the Computational Neuroscience Unit (https://groups.oist.jp/cnu) of Prof. Erik De Schutter at the Okinawa Institute of Science and Technology for a researcher interested in modeling to help better understanding of cerebellar properties and function. Candidates should have good knowledge of cerebellar anatomy and physiology related to previous modeling work, and be open to an explorative approach. Depending on prior experience and interest the focus can be on modeling the cerebellum and its neurons and/or on analyzing experimental data obtained through collaboration. The postdoc will interact with other researchers and students in the lab who are working on cerebellar modeling projects. We offer attractive working conditions in an English language graduate university, located on a beautiful subtropical island. Starting date any time before end 2024. Send curriculum vitae, summary of research interests and experience, and the names of two referees to Prof. Erik De Schutter at erik(a)oist.jp <mailto:erik@oist.jp>

Sept. 3, 2024

Release of laMEG: a toolbox for laminar MEG

by James Bonaiuto

Dear colleagues, Apologies for the cross-posting. I'm extremely pleased to announce the first release of laMEG: a toolbox for performing non-invasive inference of laminar-specific activity with MEG. My collaborators and I have been working on methods for laminar MEG for several years now, and we've finally put them all together in an easy-to-install toolbox. It includes test data, and tutorial jupyter notebooks to reproduce the simulations and analyses in all of our key papers: - Laminar inference using model comparison with either free energy or cross validation error, as well as power-based ROI analysis Bonaiuto, James J., Holly E. Rossiter, Sofie S. Meyer, Natalie Adams, Simon Little, Martina F. Callaghan, Fred Dick, Sven Bestmann, and Gareth R. Barnes. "Non-invasive laminar inference with MEG: Comparison of methods and source inversion algorithms." *Neuroimage* 167 (2018): 372-383. Bonaiuto, James J., Sofie S. Meyer, Simon Little, Holly Rossiter, Martina F. Callaghan, Frederic Dick, Gareth R. Barnes, and Sven Bestmann. "Lamina-specific cortical dynamics in human visual and sensorimotor cortices." *Elife* 7 (2018): e33977. - Free energy model comparison in a sliding time window with priors Bonaiuto, James J., Simon Little, Samuel A. Neymotin, Stephanie R. Jones, Gareth R. Barnes, and Sven Bestmann. "Laminar dynamics of high amplitude beta bursts in human motor cortex." *NeuroImage* 242 (2021): 118479. - Surface post-processing, following up from FreeSurfer recon-all, to downsample multiple surfaces and compute link vectors to constrain dipole orientations Bonaiuto, James J., Fardin Afdideh, Maxime Ferez, Konrad Wagstyl, Jérémie Mattout, Mathilde Bonnefond, Gareth R. Barnes, and Sven Bestmann. "Estimates of cortical column orientation improve MEG source inversion." *Neuroimage* 216 (2020): 116862. laMEG includes the ability to run any of these analyses on an arbitrary number of layer surfaces (not just pial versus white matter), interactive 3d surface visualization, an experimental "CSD" laminar analysis, and SPM compiled as a python library - no matlab license required. Github: https://github.com/danclab/laMEG Documentation: https://danclab.github.io/laMEG/ PyPI: https://pypi.org/project/lameg/ Best wishes, Jimmy Bonaiuto --------------------- James Bonaiuto Group leader | Institut des Sciences Cognitives | CNRS / Université Claude Bernard Lyon DANC lab <http://danclab.com> | @danc_labo <https://twitter.com/danc_labo>

Sept. 2, 2024