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Flatiron Research Fellow, Center for Computational Neuroscience
Applications are invited for Flatiron Research Fellowships (FRF) at the Center for Computational Neuroscience. The CCN FRF program offers the opportunity for postdoctoral research in areas that have strong synergy with one or more of the existing research groups at CCN or other centers at the Flatiron Institute.
An ultra detailed map of the motor cortex, from mice to monkeys to humans

An initial effort has now been made by the BICCN network to make the most comprehensive and detailed map ever of any brain area; a map of the motor cortex and the cells it contains. More than 250 persons at more than 45 institutions across 3 continents have studied the area using an array of complementary methods.  The resulting 17 papers are now being simultaneously published in Nature.

New Job Posting: Scientific Software Engineer

The Max Planck Institute for Empirical Aesthetics in Frankfurt am Main, Germany, investigates the attentional, cognitive, and affective mechanisms of aesthetic perception and evaluation. The Department of Neuroscience invites applications for a Scientific Software Engineer (m/f/x).

INCF re-endorses NeuroML, BIDS and PyNN

The INCF endorsement process for standards and best practices has been active for more than two years. This means our earliest endorsed standards are now up for re-endorsement!

This month, INCF re-endorsed the model description language NeuroML. Earlier this summer, INCF also re-endorsed the standards BIDS (Brain Imaging Data Structure) and PyNN. 

New Working Group: INCF WG on ARTEM-IS

The new ARTEM-IS Working Group aims to develop tools for the ARTEM-IS standard for electrophysiological methods reporting. ARTEM-IS is short for an Agreed Reporting Template for EEG Methodology - International Standard and is designed to make reporting EEG methodology easier and more accurate, by providing specific fields for specific details.

It’s still open science week!

INCF facilitates open neuroscience by 1) developing, vetting, and promoting FAIR standards and best practices, and 2) providing training in how to implement these standards and best practices on your own research. The purpose is to make neuroscience more open and FAIR, to ensure that research funds and efforts are well invested, and that neuroscientific findings are robust and replicable.