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Greer Williams

As seen in: Nature, BioRxiv
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Articles

The choice-wide behavioral association study: data-driven identification of interpretable behavioral components

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By David B. Kastner, Christina Lee Verified, Cristofer Holobetz, Ali Chaudhry, Greer Williams, Viktor Kharazia, Dilworth Y. Parkinson, Joseph Romano, Peter S. Dayan, Nicole O. Yokota, Jane N. Ton, Mihika Mehra
| Nature Verified
Abstract Behavior contains rich structure across many timescales. However, there is a dearth of methods to identify relevant components, especially over the longer periods required for learning and decision-making. Inspired by the goals and techniques of genome-wide association studies, we present a data-driven method—the choice-wide behavioral association study: CBAS—that systematically identifies such behavioral features.
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The choice-wide behavioral association study: data-driven identification of interpretable behavioral components

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By David B. Kastner, Joseph Romano, Greer Williams, Cristofer Holobetz
| BioRxiv
Abstract Behavior contains rich structure across many timescales, but there is a dearth of methods to identify relevant components, especially over the longer periods required for learning and decision-making. Inspired by the goals and techniques of genome-wide association studies, we present a data-driven method—the choice-wide behavioral association study: CBAS—that systematically identifies such behavioral features.
Open in Who Shared Issue with article?
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