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by @danabra.mov
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by @danabra.mov
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by @jimpick.com
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by @atsui.org
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🚨New Preprint🚨 from amazing PhD student @ryguy.io! We augmented the classic DDM to account for state-dependent changes in decision strategy and found a clear improvement. Applied to a novel 24 hour dataset we found support for circadian influence on decisions and more! Check out thread and paper!
14d
Brian DePasquale
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!
15d
Ryan Senne (he/him)
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