Optimal multisensory decision-making in a reaction-time task

Abstract

Humans and animals can integrate sensory evidence from various sources to make decisions in a statistically near-optimal manner, provided that the stimulus presentation time is fixed across trials. Little is known about whether optimality is preserved when subjects can choose when to make a decision (reaction-time task), nor when sensory inputs have time-varying reliability. Using a reaction-time version of a visual/vestibular heading discrimination task, we show that behavior is clearly sub-optimal when quantified with traditional optimality metrics that ignore reaction times. We created a computational model that accumulates evidence optimally across both cues and time, and trades off accuracy with decision speed. This model quantitatively explains subjects's choices and reaction times, supporting the hypothesis that subjects do, in fact, accumulate evidence optimally over time and across sensory modalities, even when the reaction time is under the subject's control.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jun 14, 2014
Source ID
10.7554/elife.03005

Entities

People

  • Alexandre Pouget
  • Dora E. Angelaki
  • Eliana M Klier
  • Gregory C Deangelis
  • Jan Drugowitsch

Organizations

  • Air Force Office of Scientific Research
  • Baylor College of Medicine
  • James S. McDonnell Foundation
  • National Institutes of Health
  • National Science Foundation
  • United States Army Research Laboratory
  • University of Geneva
  • University of Rochester
  • École Normale Supérieure

Tags

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.