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Call for contributions to special Multiscale Modeling issue of JNM

Senior Lecturer and Co-editor KongFatt Wong-Lin calls for contributions to a Special Issue on Multiscale Modelling and Analysis in Neuroscience in the Journal of Neuroscience Methods. The Special Issue is focused on state-of-the-art: (i) computational modelling techniques; (ii) theoretical, mathematical or numerical methods; (iii) analysis of data; (iv) curation of data; or (v) combinations of the above. For more information, please see: 

New BIDS Steering Group announced

The BIDS community has voted in a Steering Group of five candidates, chosen as a slate. The slate chosen is the Guiomar Niso chaired slate with Melanie Ganz, Robert Oostenveld, Russ Poldrack, and Kirstie Whitaker!

INCF at SfN19

INCF had a booth at SfN 2019 in Chicago, held on October 19–23. The booth space was used for demos of INCF community projects and tools, among them Neurodata Without Borders, NITRC, ReproNim, g-node’s NIX, the BIDS standard and the INCF-developed tool Neurobot.

GSoc Mentor Summit, Munich, Oct 17-20

INCF Community Engagement officer Malin Sandström has administered INCF’s partition in Google Summer of Code for 6 years, but never visited the yearly GSoC Mentor Summit.

- It was a very useful event, she says. And it was fantastic to meet our students and mentors  in person.

INCF is announcing new memberships, new portal, and a new video!

INCF has worked hard in the past months to optimize the services we provide to the neuroscience community, and we’re finally ready to announce the improvements we have done in order to serve the community better! First up is our new membership models - we have expanded the ways the community can be active participants and contributors to our mission to develop, evaluate, endorse, and implement standards and best practices that embrace the principles of open, FAIR, and citable neuroscience. 

Call for community review: Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 - a data standard for neurophysiology as an INCF-endorsed standard

NWB:N 2.0 is a data standard for neurophysiology, providing neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data. The standard is designed to store a variety of neurophysiology data, including from intracellular and extracellular electrophysiology experiments, optical physiology experiments, as well as tracking and stimulus data.