The PS-VAE enables a detailed brain region-to-behavior mapping in the two-view mouse dataset.

<p><b>A</b>: PS-VAE latents (gray traces) and their predictions from neural activity (colored traces) recorded across dorsal cortex with widefield calcium imaging. Vertical dashed black lines delineate individual test trials. See <a href="http://www.ploscompbiol.org/article...

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Bibliographic Details
Main Author:	Matthew R. Whiteway (11467528) (author)
Other Authors:	Dan Biderman (8835644) (author), Yoni Friedman (11467531) (author), Mario Dipoppa (11467534) (author), E. Kelly Buchanan (11467537) (author), Anqi Wu (3413069) (author), John Zhou (10338011) (author), Niccolò Bonacchi (11467540) (author), Nathaniel J. Miska (2207704) (author), Jean-Paul Noel (3072192) (author), Erica Rodriguez (11361930) (author), Michael Schartner (780976) (author), Karolina Socha (11467543) (author), Anne E. Urai (8279322) (author), C. Daniel Salzman (11467546) (author), John P. Cunningham (11467549) (author), Liam Paninski (155009) (author)
Published:	2021
Subjects:	Neuroscience Biotechnology Mental Health Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified three different head pose estimates alone open field arena freely moving mouse fixed mouse preparations either fully supervised computer vision algorithms brain function requires facilitate downstream behavioral detailed behavioral measurements downstream analyses compared behavioral features produced extract useful information neural analyses interpretable features behavioral videos video data produce interpretable partitioning variability model improve increased need dimensional representations deeper understanding
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The PS-VAE enables a detailed brain region-to-behavior mapping in the two-view mouse dataset.

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