An orderly single-trial organization of population dynamics in premotor cortex predicts behavioral variability

Abstract

To explain the neural correlates of behavior and its variability, one must analyze single-trial population dynamics. Here, the authors develop a statistical method that extracts low-dimensional dynamics that explain behavior better than high-dimensional neural activity revealing unexpected structure.