November 30, 2025Nature CommunicationsOpen Access

Identifying the factors governing internal state switches during nonstationary sensory decision-making

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Analysis of a decision-making task reveals predictors of state transitions in mice, indicating adaptive strategies.

Modeling identified key factors governing transitions among states in a nonstationary environment.
Using a hidden Markov model, the analysis focused on decision-making task performance across hundreds of trials.
Generalized linear models delineated strategies used by mice to maintain performance with varying biases during tasks.
This highlights the complexities in adaptive decision-making, warranting deeper exploration into internal state dynamics.

A 2025 study studied this question.

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