Decision Making through Integration of Sensory Evidence at Prolonged Timescales.

ABSTRACT: When multiple pieces of information bear on a decision, the best approach is to combine the evidence provided by each one. Evidence integration models formalize the computations underlying this process [1-3], explain human perceptual discrimination behavior [4-9], and correspond to neuronal responses elicited by discrimination tasks [10-14]. These findings suggest that evidence integration is key to understanding the neural basis of decision making [15-18]. But while evidence integration has most often been studied with simple tasks that limit deliberation to relatively brief periods, many natural decisions unfold over much longer durations. Neural network models imply acute limitations on the timescale of evidence integration [19-23], and it is currently unknown whether existing computati

SUBMITTER: Waskom ML 

PROVIDER: S-EPMC6279571 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature