Noise and Correlations in Parallel Perceptual Decision Making

Thomas Otto, Pascal Mamassian

Research output: Contribution to journalArticlepeer-review

64 Citations (Scopus)
1 Downloads (Pure)

Abstract

Perceptual decisions involve the accumulation of sensory evidence over time, a process that is corrupted by noise [1]. Here, we extend the decision-making framework to crossmodal research [2, 3] and the parallel processing of two distinct signals presented to different sensory modalities like vision and audition. Contrary to the widespread view that multisensory signals are integrated prior to a single decision [4-10], we show that evidence is accumulated for each signal separately and that consequent decisions are flexibly coupled by logical operations. We find that the strong correlation of response latencies from trial to trial is critical to explain the short latencies of multisensory decisions. Most critically, we show that increased noise in multisensory decisions is needed to explain the mean and the variability of response latencies. Precise knowledge of these key factors is fundamental for the study and understanding of parallel decision processes with multisensory signals.

Original languageEnglish
Pages (from-to)1391-1396
Number of pages6
JournalCurrent Biology
Volume22
Issue number15
DOIs
Publication statusPublished - 7 Aug 2012

Keywords

  • MULTISENSORY INTERACTIONS
  • BIMODAL INTEGRATION
  • SENSORY MODALITY
  • MOTION DETECTION
  • NEURAL BASIS
  • RESPONSES
  • TASK
  • INFORMATION
  • DYNAMICS
  • CORTICES

Fingerprint

Dive into the research topics of 'Noise and Correlations in Parallel Perceptual Decision Making'. Together they form a unique fingerprint.

Cite this