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Move over, GLM-HMM—there’s a new hidden Markov model in town. In our new preprint, we introduce the DDM-HMM: a model that jointly infers latent decision states from reaction times and choices. Using 24-hour behavioral data from rats, we found that evidence accumulation changes with time of day!

Our new model revealed “patient,” “impulsive,” and low-drift decision states that wax and wane across the light-dark cycle. We found that regardless of how good individual animals were, at the population level all animals accumulated evidence more effectively during the dark cycle!

Lastly a huge thanks to all the authors especially my advisors @briandepasquale.bsky.social and the bluesky-less Ben Scott!