A Maximum-Likelihood Approach to Modeling Multisensory Enhancement

The deep layers of the superior colliculus (DSC) integrate multisensory input and initiate an orienting response toward the source of stimulation. Multisensory response enhancement (MRE) is the augmentation of a neural response of a DSC neuron to sensory input of one modality by input of another modality. The maximum likelihood model presented here extends the Bayesian model for MRE by Anastasio et al. by incorporating a decision strategy to maximize the number of correct decisions. It accounts for the inverse effectiveness observed in neurophysiological recording data, and it predicts a functional relation between uni- and bimodal levels of discriminability that is testable both in neurophysiological and behavioral experiments.

• Type: Conference
• Year: 2001
• Where: NIPS
• Authors: H. Colonius, A. Diederich
• Keywords: Integrate Multisensory Input, Multisensory Response Enhancement, Neurophysiological Recording Data, NIPS 2001, NIPS 2007