Causal inference and temporal predictions in audiovisual perception of speech and music. Issue 1 (31st March 2018)

• Record Type: Journal Article
• Authors: Noppeney, Uta; Lee, Hwee Ling
• Is Part Of: Annals of the New York Academy of Sciences. Volume 1423:Issue 1(2018)
• Page Start: 102
• Page End: 116
• Publication Date: 2018-03-31
• Subjects: audiovisual -- speech -- music -- prediction error -- Bayesian causal inference; Medical sciences -- Periodicals; Medicine -- Periodicals; Science -- Periodicals; 610
• DOI: 10.1111/nyas.13615
• Languages: English
• ISSNs: 0077-8923

Abstract

Abstract: To form a coherent percept of the environment, the brain must integrate sensory signals emanating from a common source but segregate those from different sources. Temporal regularities are prominent cues for multisensory integration, particularly for speech and music perception. In line with models of predictive coding, we suggest that the brain adapts an internal model to the statistical regularities in its environment. This internal model enables cross‐sensory and sensorimotor temporal predictions as a mechanism to arbitrate between integration and segregation of signals from different senses.