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Ryan Senne (he/him)
@ryguy.io

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!

bioRxivpreprint@biorxivpreprint.bsky.social

Diurnal rhythms of choice: a novel state-dependent drift diffusion model uncovers time-dependent changes in rat decision making https://www.biorxiv.org/content/10.64898/2026.05.25.727672v1

Ryan Senne (he/him)
@ryguy.io

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!

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Ryan Senne (he/him)
@ryguy.io

And the best part? Our new model was implemented fully in #JuliaLang. So check out our preprint and learn about the DDM-HMM; accumulating evidence suggests it’s the hottest new behavioral time series model!