November 30, 2025Nature CommunicationsOpen Access

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

View Full Paper

Ask AI

Bookmark

Discussion

Analysis of a decision-making task reveals adaptive strategies in non-stationary environments, highlighting the role of past choices and stimuli.

Adaptive strategies rely on the hidden Markov model, demonstrating effective decision-making in dynamic environments.
The decision-making task analysis showed participants used both left- and right-bias strategies effectively when needed.
Generalized linear models were employed to analyze state-dependent choices and transitions, revealing behavioral complexities.
Understanding these adaptive strategies may enhance future models of decision-making in variable contexts.

A 2025 study studied this question.

View Full Paper

Ask AI

Bookmark

Analysis of a decision-making task reveals adaptive strategies in non-stationary environments, highlighting the role of past choices and stimuli.