Accumulation of continuously time-varying sensory evidence constrains neural and behavioral responses in human collision threat detection.

ABSTRACT: Evidence accumulation models provide a dominant account of human decision-making, and have been particularly successful at explaining behavioral and neural data in laboratory paradigms using abstract, stationary stimuli. It has been proposed, but with limited in-depth investigation so far, that similar decision-making mechanisms are involved in tasks of a more embodied nature, such as movement and locomotion, by directly accumulating externally measurable sensory quantities of which the precise, typically continuously time-varying, magnitudes are important for successful behavior. Here, we leverage collision threat detection as a task which is ecologically relevant in this sense, but which can also be rigorously observed and modelled in a laboratory setting. Conventionally, it is assumed t

SUBMITTER: Markkula G 

PROVIDER: S-EPMC8282001 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature