The choice-wide behavioral association study: data-driven identification of interpretable behavioral components
David B. Kastner, Nicole O. Yokota, Christina Y. Lee, Cristofer Holobetz, Ali Chaudhry, Greer Williams, Jane N. Ton, Mihika Mehra, Viktor Kharazia, Dilworth Y. Parkinson, Joseph P. Romano, Peter Dayan
The paper introduces CBAS, a data-driven method to identify interpretable behavioral components by analyzing action sequences across species, showing its applicability in flies, rats, and humans.
Nature Communications · Aug 13, 2026Peer-reviewedNeuroscience