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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Christina Y. Lee

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Open access Aug 2026

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

The Choice-Wide Behavioral Association Study is introduced, which identifies interpretable behavioral components and reveals previously unrecognized features of behavior across flies, rats, and humans.

David B. Kastner, Nicole O. Yokota, Christina Y. Lee et al. · 0 citations
Open access Feb 2024

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

This work presents a data-driven method—the choice-wide behavioral association study: CBAS—that systematically identifies such behavioral features that either significantly differ between groups or correlate with a covariate of interest.

David B. Kastner, Nicole O. Yokota, Christina Y. Lee et al. · 2 citations

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