Multisensory correlation computations in the human brain identified by a time-resolved encoding model.

ABSTRACT: Neural mechanisms that arbitrate between integrating and segregating multisensory information are essential for complex scene analysis and for the resolution of the multisensory correspondence problem. However, these mechanisms and their dynamics remain largely unknown, partly because classical models of multisensory integration are static. Here, we used the Multisensory Correlation Detector, a model that provides a good explanatory power for human behavior while incorporating dynamic computations. Participants judged whether sequences of auditory and visual signals originated from the same source (causal inference) or whether one modality was leading the other (temporal order), while being recorded with magnetoencephalography. First, we confirm that the Multisensory Correlation Detector e

SUBMITTER: Pesnot Lerousseau J 

PROVIDER: S-EPMC9072402 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature