Samuel S.-H. Wang mainly investigates Neuroscience, Electrophysiology, Dendritic spine, Synaptic plasticity and Neocortex. Samuel S.-H. Wang has included themes like Nonsynaptic plasticity, Metaplasticity and Homosynaptic plasticity in his Neuroscience study. His Electrophysiology research incorporates elements of Preclinical imaging, Axon and Allometry.
His work is dedicated to discovering how Dendritic spine, Chromatic scale are connected with Glutamate receptor and Biophysics and other disciplines. His Synaptic plasticity research is multidisciplinary, incorporating perspectives in Climbing fiber, Bursting, Long-term depression and Excitatory postsynaptic potential. His biological study spans a wide range of topics, including Zoology, Old World and Evolutionary biology.
Samuel S.-H. Wang mainly focuses on Neuroscience, Cerebellum, Calcium, Biophysics and Cell biology. The various areas that he examines in his Neuroscience study include Synaptic plasticity and Autism. His research on Cerebellum also deals with topics like
His Calcium research integrates issues from Preclinical imaging, Biochemistry, Cell type and Cerebellar cortex. His Cerebellar cortex research includes elements of Biological neural network and Astrocyte. His studies deal with areas such as Glutamate receptor, Calcium metabolism, Parallel fiber, Microscopy and Second messenger system as well as Biophysics.
Samuel S.-H. Wang mostly deals with Neuroscience, Cerebellum, Autism, Sensory system and Artificial intelligence. Samuel S.-H. Wang has researched Neuroscience in several fields, including CNTNAP2 and Calcium. The study incorporates disciplines such as Deep cerebellar nuclei and Anatomy in addition to Calcium.
His research in Cerebellum intersects with topics in Stimulus, Forebrain, Optogenetics and Biological neural network. His Autism study integrates concerns from other disciplines, such as Cognition, Brain mapping and Motor learning. He focuses mostly in the field of Artificial intelligence, narrowing it down to topics relating to Computer vision and, in certain cases, Deep neural networks and Word error rate.
His primary scientific interests are in Neuroscience, Cerebellum, Autism, Eyeblink conditioning and Calcium. His study of Sensory system is a part of Neuroscience. In his study, Binding domain, Calmodulin and GCaMP is inextricably linked to Biological neural network, which falls within the broad field of Cerebellum.
The concepts of his Autism study are interwoven with issues in Cognition and Brain mapping. His studies in Calcium integrate themes in fields like Purkinje cell and Anatomy. His research integrates issues of Synaptic plasticity, Electrophysiology, Motor control, Motor learning and Neuroplasticity in his study of Autism spectrum disorder.
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Optimization of a GCaMP calcium indicator for neural activity imaging.
Jasper Akerboom;Tsai Wen Chen;Trevor J. Wardill;Lin Tian;Lin Tian.
The Journal of Neuroscience (2012)
Brominated 7-hydroxycoumarin-4-ylmethyls: Photolabile protecting groups with biologically useful cross-sections for two photon photolysis
Toshiaki Furuta;Samuel S.-H. Wang;Jami L. Dantzker;Timothy M. Dore.
Proceedings of the National Academy of Sciences of the United States of America (1999)
The Cerebellum, Sensitive Periods, and Autism
Samuel Sheng-Hung Wang;Alexander D. Kloth;Aleksandra Badura.
Coincidence detection in single dendritic spines mediated by calcium release
Samuel S. H. Wang;Winfried Denk;Michael Häusser;Michael Häusser.
Nature Neuroscience (2000)
Scalable architecture in mammalian brains
Damon A. Clark;Partha P. Mitra;Samuel Sheng-Hung Wang.
Malleability of spike-timing-dependent plasticity at the CA3-CA1 synapse.
Gayle M. Wittenberg;Samuel Sheng-Hung Wang.
The Journal of Neuroscience (2006)
Graded bidirectional synaptic plasticity is composed of switch-like unitary events.
Daniel H. O'Connor;Gayle M. Wittenberg;Samuel S.-H. Wang.
Proceedings of the National Academy of Sciences of the United States of America (2005)
Functional trade-offs in white matter axonal scaling
Samuel S.-H. Wang;Jennifer R. Shultz;Mark J. Burish;Kimberly H. Harrison.
The Journal of Neuroscience (2008)
Fast animal pose estimation using deep neural networks.
Talmo D. Pereira;Diego E. Aldarondo;Diego E. Aldarondo;Lindsay Willmore;Mikhail Kislin.
Nature Methods (2019)
Chemical two-photon uncaging: a novel approach to mapping glutamate receptors.
Diana L Pettit;Samuel S.-H Wang;Kyle R Gee;George J Augustine.
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