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Xiao Jing Wang
Researcher at Center for Neural Science
Publications - 440
Citations - 38112
Xiao Jing Wang is an academic researcher from Center for Neural Science. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 90, co-authored 247 publications receiving 31904 citations. Previous affiliations of Xiao Jing Wang include Yale University & New York University.
Papers
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Journal ArticleDOI
Mechanisms of Gamma Oscillations
György Buzsáki,Xiao Jing Wang +1 more
TL;DR: The cellular and synaptic mechanisms underlying gamma oscillations are reviewed and empirical questions and controversial conceptual issues are outlined, finding that gamma-band rhythmogenesis is inextricably tied to perisomatic inhibition.
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Neurophysiological and Computational Principles of Cortical Rhythms in Cognition
TL;DR: A plethora of studies will be reviewed on the involvement of long-distance neuronal coherence in cognitive functions such as multisensory integration, working memory, and selective attention, and implications of abnormal neural synchronization are discussed as they relate to mental disorders like schizophrenia and autism.
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Gamma Oscillation by Synaptic Inhibition in a Hippocampal Interneuronal Network Model
Xiao Jing Wang,György Buzsáki +1 more
TL;DR: It is demonstrated that large-scale network synchronization requires a critical (minimal) average number of synaptic contacts per cell, which is not sensitive to the network size, and that the GABAA synaptic transmission provides a suitable mechanism for synchronized gamma oscillations in a sparsely connected network of fast-spiking interneurons.
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The importance of mixed selectivity in complex cognitive tasks
Mattia Rigotti,Omri Barak,Omri Barak,Melissa R. Warden,Melissa R. Warden,Xiao Jing Wang,Xiao Jing Wang,Nathaniel D. Daw,Nathaniel D. Daw,Earl K. Miller,Stefano Fusi +10 more
TL;DR: For instance, the authors showed that mixed selectivity neurons encode distributed information about all task-relevant aspects, which can be decoded from the population of neurons even when single-cell selectivity to that aspect is eliminated.
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Probabilistic decision making by slow reverberation in cortical circuits.
TL;DR: It is suggested that recurrent excitation mediated by NMDA receptors provides a candidate cellular mechanism for the slow time integration of sensory stimuli and the formation of categorical choices in a decision-making neocortical network.