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Causal Inference in the Multisensory Brain.

Yinan Cao1, Christopher Summerfield1, Hame Park2

  • 1Department of Experimental Psychology, University of Oxford, Walton Street, Oxford OX2 6AE, UK.

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|May 4, 2019
PubMed
Summary
This summary is machine-generated.

Humans flexibly integrate multisensory information using a hierarchical brain process. Early sensory processing is followed by fusion and causal inference in the frontal lobe for adaptive behavior.

Keywords:
MEGcausal inferencecrossmodaldecision makingflexible behaviormagnetoencephalographyparietal cortexrepresentational similarity analysissensory fusionstructure inferenceventrolateral prefrontal cortex

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Sensory Perception

Background:

  • Multisensory integration requires selecting relevant cues and ignoring distractions.
  • The brain may use a hierarchical approach, with rapid initial fusion and later filtering based on inferred causes.

Purpose of the Study:

  • To investigate the spatiotemporal cascade of computations during multisensory integration in the human brain.
  • To reconcile computational models of perception with neural mechanisms.

Main Methods:

  • Analysis of time- and source-resolved human magnetoencephalography (MEG) data.
  • Investigated neural activity patterns during multisensory information processing.

Main Results:

  • Identified a cascade: early unisensory processing, followed by sensory fusion in parietal-temporal regions.
  • Causal inference, guided by the prefrontal cortex, occurs later in the frontal lobe.

Conclusions:

  • The prefrontal cortex directs flexible multisensory integration based on representations in sensory and association cortices.
  • Multisensory integration is framed within the context of adaptive behavior and causal inference.