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
These results demonstrate the feasibility of anatomically informed MR guidance to support ultrasound acquisition by novice users and highlight its potential for trauma diagnostics in resource-limited or austere environments.
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. CBAS extracts sequences of actions or choices that either significantly differ between groups or correlate with a covariate of interest, using a powerful resampling-based method to correct for multiple comparisons. We illustrate CBAS through application to tasks performed by flies, rats, and humans, showing that it provides unexpected and interpretable information in each case.