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0 reviewsPerceptual decision-making is thought to be mediated by neuronal networks with attractor dynamics1,2. However, the dynamics underlying the complex neuronal responses during decision-making remain unclear. Here we use simultaneous Check for updatesrecordings of hundreds of neurons, combined with an unsupervised, deep-learningbased method, to discover decision-related neural dynamics in the rat frontal cortex and striatum as animals accumulate pulsatile auditory evidence. We found that trajectories evolved along two sequential regimes: an initial phase dominated by sensory inputs, followed by a phase dominated by autonomous dynamics, with the fow direction (that is, neural mode) largely orthogonal to that in the frst regime. We propose that this transition marks the moment of decision commitment, that is, the time when the animal makes up its mind. To test this, we developed a simplifed model of the dynamics to estimate a putative neurally inferred time of commitment (nTc) for each trial. This model captures diverse single-neuron temporal profles, such as ramping and stepping3,4. The estimated nTc values were not time locked to stimulus or response timing but instead varied broadly across trials. If nTc marks commitment, evidence before this point should afect the decision, whereas evidence afterwards should not. Behavioural analysis aligned to nTc confrmed this prediction. Our fndings show that decision commitment involves a rapid, coordinated transition in dynamical regime and neural mode and suggest that nTc ofers a useful neural marker for studying rapid changes in internal brain state.