The aim of this thesis was to test predictive coding as a model of cortical organization and function in multisensory processing using a specific brain response, the mismatch negativity (MMN) in both Auditory and visual modalities, and a novel tool for connectivity analysis, dynamic causal modeling (DCM). Predictive coding models state that the brain perceives and makes inferences about the world by recursively updating predictions about sensory input. Thus, perception would result from comparing bottom-up input from the environment with top-down predictions. The generation of the MMN, an event related response elicited by violations in the regularity of a structured auditory or visual...
The aim of this thesis was to test predictive coding as a model of cortical organization and function in multisensory processing using a specific brain response, the mismatch negativity (MMN) in both Auditory and visual modalities, and a novel tool for connectivity analysis, dynamic causal modeling (DCM). Predictive coding models state that the brain perceives and makes inferences about the world by recursively updating predictions about sensory input. Thus, perception would result from comparing bottom-up input from the environment with top-down predictions. The generation of the MMN, an event related response elicited by violations in the regularity of a structured auditory or visual...