We study how internal brain states related to attention and decision-making shape behavior over time. Rather than defining these states solely by the animal’s actions and behavioral context, we integrate behavioral measurements with neural recordings to more precisely characterize them and quantify transitions between states. In the long term, this work aims to establish a framework that supports online tracking and perturbation of brain states under controlled conditions.