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On January 22–23, 2026, SFARI held a workshop to explore advanced quantitative phenotyping methods for capturing visible behaviors, including motor phenotypes.

On September 18, 2024, the SFARI Autism Rat Consortium (ARC) held its annual meeting in the Usher Institute of the University of Edinburgh. This year’s event brought …

SFARI is pleased to announce that it intends to fund seven grants in response to the Autism Rat Models Consortium request for applications.

On April 26 and 29, 2021, SFARI and the Simons Initiative for the Developing Brain hosted a virtual workshop that focused on the use of rats as a …

New research suggests that neural circuits underlying smell employ two favored theoretical models in succession.

Computer vision and machine learning technologies are creating ever more precise records of animal behavior. Now, neuroscientists must figure out how best to use these techniques to understand …

SFARI held its 15th science meeting April 7–9, 2019. Over 100 SFARI investigators, collaborators and foundation staff convened to discuss recent findings on the genetics, molecular- and …

New nonlinear methods for analyzing high-dimensional neural activity can better characterize the most important patterns in the data.

Despite very different wiring patterns, two brain regions involved in learned and innate olfactory behavior encode information in similar ways.

SFARI is pleased to announce that it has awarded 27 grants (21 Pilot Awards and 6 Research Awards) in response to the 2016 Pilot and Research Awards request …

Sandeep Robert Datta describes a combined 3D computer vision/machine-learning method that identifies behavioral modules expressed by freely behaving mice.