Advances of Multisensory Integration in the Brain

Dr. Yong Gu is a professor at the Institute of Neuroscience, Chinese Academy of Sciences (CAS, China). He obtained his Ph.D. from Institute of Biophysics, CAS, and completed his postdoc training at Washington University (St. Louis, MO, United States). Prof. Gu’s research mainly focuses on neural mechanisms underlying multisensory integration for spatial perception. He has published nearly 50 articles in this field on international peer-reviewed journals, such as Neuron, Nature Neuroscience, Nature Communications, eLife, Cell Reports, Journal of Neuroscience, Cerebral Cortex, Current Opinion in Neurobiology, Philosophical Transactions B, and more. He is currently an associate editor for Neuroscience Bulletin. Adam Zaidel is an associate professor and principal investigator at The Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Israel. He obtained a B.Sc. in electronic engineering from Tel Aviv University and a Ph.D. in computational neuroscience from The Hebrew University of Jerusalem. He did his postdoctoral training at Washington University (St. Louis, MO) and Baylor College of Medicine (Houston, TX). Prof. Zaidel studies how the brain processes and integrates information from multiple sources to attain coherent perception, and how this function is damaged in brain disorders. He has published many articles in international peer-reviewed journals, including Neuron, Nature Communications, Brain, PNAS, Movement Disorders, eLife and more.

Introduction.- Development of multisensory integration in the brain.- Multisensory decision making in the macaque brain.- Multisensory integration and decision making in the rodent brain.- Multisensory causal inference in macaque and human brains.- Cross-modal associations and working memory in the brain.- Spatial reference coding of multisensory signals in the brain.- Psychophysical and neural evidence for cross-modal perceptual grouping and synesthetic correspondence.- Resolving the neural mechanisms of Bayesian Causal Inference across space and time.- Interactions of vestibular, visual and proprioceptive signals for self-motion perception.- Decentralized neural network of multisensory information integration in the brain.