A simple bounded accumulation model could capture the key behavioural patterns in our data, and model-based simulations were able to reproduce the condition-specific profiles of the neural data (CPP & MBL) following each pulse 👇

We show that when noisy evidence for a single decision comes in temporally separate pulses, the centroparietal positivity (CPP) tracks multiple rounds of evidence accumulation, falling back down to baseline during the intervals in between pulses when no relevant info is presented.