His primary areas of investigation include Neuroscience, Working memory, Prefrontal cortex, Cognition and Sensory system. His work in Neuroscience is not limited to one particular discipline; it also encompasses Mnemonic. Xiao Jing Wang has researched Working memory in several fields, including Nerve net, Electroencephalography, Stimulus, NMDA receptor and Disinhibition.
His research investigates the connection with Prefrontal cortex and areas like Stimulation which intersect with concerns in Neurochemical, Executive functions and Ageing. His Cognition research is multidisciplinary, relying on both Cognitive psychology and Schizophrenia. His Sensory system study integrates concerns from other disciplines, such as Attractor, Perception, Hierarchy and Primate.
His scientific interests lie mostly in Neuroscience, Working memory, Cognition, Prefrontal cortex and Artificial intelligence. His work in Sensory system, Cortex, Stimulus, Neurophysiology and Neocortex are all subfields of Neuroscience research. Xiao Jing Wang focuses mostly in the field of Working memory, narrowing it down to topics relating to Network model and, in certain cases, Communication.
His Elementary cognitive task study, which is part of a larger body of work in Cognition, is frequently linked to Mechanism and ENCODE, bridging the gap between disciplines. His work carried out in the field of Prefrontal cortex brings together such families of science as Cognitive psychology and Excitatory postsynaptic potential. The Excitatory postsynaptic potential study combines topics in areas such as Biological neural network and Neurotransmission.
Neuroscience, Working memory, Cognition, Cortex and Artificial intelligence are his primary areas of study. Xiao Jing Wang performs integrative study on Neuroscience and Mechanism in his works. His Working memory study combines topics from a wide range of disciplines, such as Cognitive psychology, Categorization, Inhibitory control, Visual perception and Prefrontal cortex.
His Cognition research integrates issues from Schizophrenia, DUAL, Balance and Neural coding. His Cortex research includes elements of Macaque, Connectome, Feed forward, Interneuron and Cortex. In Artificial intelligence, Xiao Jing Wang works on issues like Machine learning, which are connected to Key, Stochastic process and Social psychology.
Xiao Jing Wang focuses on Neuroscience, Cognition, Working memory, Artificial intelligence and Cortex. Xiao Jing Wang integrates Neuroscience and Mechanism in his research. His research integrates issues of Synaptic plasticity and Neural coding in his study of Cognition.
He combines subjects such as Prefrontal cortex and Categorization with his study of Working memory. His work deals with themes such as Cerebral cortex, Cytoarchitecture, Brain mapping and Feed forward, which intersect with Cortex. His studies deal with areas such as Neocortex, Primate, Interneuron and Magnetoencephalography as well as Sensory system.
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Mechanisms of Gamma Oscillations
György Buzsáki;Xiao-Jing Wang.
Annual Review of Neuroscience (2012)
Neurophysiological and Computational Principles of Cortical Rhythms in Cognition
Xiao Jing Wang.
Physiological Reviews (2010)
Gamma Oscillation by Synaptic Inhibition in a Hippocampal Interneuronal Network Model
Xiao Jing Wang;György Buzsáki.
The Journal of Neuroscience (1996)
Probabilistic decision making by slow reverberation in cortical circuits.
Xiao Jing Wang.
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.
Synaptic Mechanisms and Network Dynamics Underlying Spatial Working Memory in a Cortical Network Model
Albert Compte;Nicolas Brunel;Nicolas Brunel;Patricia S. Goldman-Rakic;Xiao Jing Wang.
Cerebral Cortex (2000)
Synaptic reverberation underlying mnemonic persistent activity
Xiao Jing Wang.
Trends in Neurosciences (2001)
A Recurrent Network Mechanism of Time Integration in Perceptual Decisions
Kong Fatt Wong;Xiao Jing Wang.
The Journal of Neuroscience (2006)
The role of default network deactivation in cognition and disease.
Alan Anticevic;Michael W. Cole;John D. Murray;Philip R. Corlett.
Trends in Cognitive Sciences (2012)
Synaptic basis of cortical persistent activity: the importance of NMDA receptors to working memory.
Xiao Jing Wang.
The Journal of Neuroscience (1999)
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