Summary
International Symposium on Nonlinear Theory and Its Applications
2015
Session Number:A4L-F
Session:
Number:A4L-F-3
A Decentralized Architecture for Multisensory Neural Information Integration
Wen-Hao Zhang, K.Y. Michael Wong, Malte Rasch, Si Wu,
pp.325-328
Publication Date:2015/12/1
Online ISSN:2188-5079
Summary:
Multisensory integration is important in our brain. However, understanding how the brain integrates multiple sensory cues in its neural circuitry remains a challenge. In this study, using biologically realistic neural network models, we propose a novel mechanism of how multi-sensory information might be integrated in a distributed fashion across interconnected brain areas without the need for a central integration unit. We show that this decentralized system can integrate information optimally in a biologically realistic setting, and is in good agreement with anatomical constraints and the experimental observations.