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Causal Inference in Multisensory Heading Estimation
- Source :
- PLoS One, PLoS ONE, PLoS ONE, Vol 12, Iss 1, p e0169676 (2017)
- Publication Year :
- 2017
-
Abstract
- A large body of research shows that the Central Nervous System (CNS) integrates multisensory information. However, this strategy should only apply to multisensory signals that have a common cause; independent signals should be segregated. Causal Inference (CI) models account for this notion. Surprisingly, previous findings suggested that visual and inertial cues on heading of self-motion are integrated regardless of discrepancy. We hypothesized that CI does occur, but that characteristics of the motion profiles affect multisensory processing. Participants estimated heading of visual-inertial motion stimuli with several different motion profiles and a range of intersensory discrepancies. The results support the hypothesis that judgments of signal causality are included in the heading estimation process. Moreover, the data suggest a decreasing tolerance for discrepancies and an increasing reliance on visual cues for longer duration motions.
- Subjects :
- Central Nervous System
Adult
Male
Inertia
Vision
Acceleration
Models, Neurological
Velocity
lcsh:Medicine
Social Sciences
Nervous System
Motion
Young Adult
Medicine and Health Sciences
Psychology
Humans
lcsh:Science
Physics
lcsh:R
Classical Mechanics
Biology and Life Sciences
Probability Theory
Statistical Dispersion
Physical Sciences
Visual Perception
lcsh:Q
Sensory Perception
Female
Anatomy
Mathematics
Algorithms
Photic Stimulation
Research Article
Neuroscience
Statistical Distributions
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- PLoS One, PLoS ONE, PLoS ONE, Vol 12, Iss 1, p e0169676 (2017)
- Accession number :
- edsair.pmid.dedup....a0707e96ddf76ae9a3f75434e962d395