See what you hear-How the brain forms representations across the senses

Uta Noppeney*, Samuel A. Jones, Tim Rohe, Ambra Ferrari

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Our senses are constantly bombarded with a myriad of signals. To make sense of this cacophony, the brain needs to integrate signals emanating from a common source, but segregate signals originating from the different sources. Thus, multisensory perception relies critically on inferring the world's causal structure (i.e. one common vs. multiple independent sources). Behavioural research has shown that the brain arbitrates between sensory integration and segregation consistent with the principles of Bayesian Causal Inference. At the neural level, recent functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) studies have shown that the brain accomplishes Bayesian Causal Inference by dynamically encoding multiple perceptual estimates across the sensory processing hierarchies. Only at the top of the hierarchy in anterior parietal cortices did the brain form perceptual estimates that take into account the observer's uncertainty about the world's causal structure consistent with Bayesian Causal Inference.

Original languageEnglish
Pages (from-to)237-246
Number of pages10
JournalNeuroforum
Volume24
Issue number4
Early online date9 Nov 2018
DOIs
Publication statusPublished - Nov 2018

Keywords

  • audiovisuell
  • Bayesianisch
  • Bindungsproblem
  • Computermodell
  • Kausale Inferenz
  • Modellierung
  • multisensorische Integration
  • multisensorische Wahrnehmung
  • perzeptuelle Inferenz
  • Wahrnehmung

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology

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