Stephen I. Ryu mainly investigates Neuroscience, Brain–computer interface, Movement, Premotor cortex and Dynamics. His research on Neuroscience often connects related areas such as Dorsum. His research integrates issues of Kalman filter, Decoding methods, Neural decoding and Wireless in his study of Brain–computer interface.
His Premotor cortex research is multidisciplinary, incorporating perspectives in Biological neural network and Motor control. In his papers, Stephen I. Ryu integrates diverse fields, such as Dynamics, Neural population, Motor system, Analogy, Electromyography and Visual cortex. His research in Neural activity focuses on subjects like Control algorithm, which are connected to Neural Prosthesis.
Brain–computer interface, Artificial intelligence, Neuroscience, Pattern recognition and Neural activity are his primary areas of study. His studies deal with areas such as Kalman filter, Speech recognition, Motor control and Neural Prosthesis as well as Brain–computer interface. His Dimensionality reduction study in the realm of Artificial intelligence interacts with subjects such as Dynamics.
His Neuroscience study combines topics from a wide range of disciplines, such as Premotor cortex and Dorsum. Stephen I. Ryu has included themes like Spike sorting and Models of neural computation in his Pattern recognition study. He integrates Neural activity and Neural population in his studies.
Stephen I. Ryu spends much of his time researching Neuroscience, Brain–computer interface, Artificial intelligence, Neural population and Pattern recognition. In the subject of general Neuroscience, his work in Neural activity, Biological neural network and Optogenetics is often linked to Primary motor cortex, thereby combining diverse domains of study. His Brain–computer interface research incorporates elements of Neural correlates of consciousness, Neurophysiology, Cursor and Motor control.
In general Artificial intelligence study, his work on Curse of dimensionality often relates to the realm of Dynamics, thereby connecting several areas of interest. As part of the same scientific family, Stephen I. Ryu usually focuses on Pattern recognition, concentrating on Models of neural computation and intersecting with Cognition, Local field potential and Dynamic time warping. In his work, Stimulus and Throughput is strongly intertwined with Speech recognition, which is a subfield of Decoding methods.
His primary scientific interests are in Brain–computer interface, Neuroscience, Artificial intelligence, Motor control and Neural population. As a part of the same scientific family, Stephen I. Ryu mostly works in the field of Brain–computer interface, focusing on Dimensionality reduction and, on occasion, Curse of dimensionality. In his research, Stephen I. Ryu undertakes multidisciplinary study on Neuroscience and Task.
Stephen I. Ryu brings together Artificial intelligence and Dynamics to produce work in his papers. His Neural activity research is multidisciplinary, relying on both Premotor cortex and Brain mapping. His work carried out in the field of Biological neural network brings together such families of science as Electronic circuit, Electrophysiology, Sensorimotor system, Visual feedback and Motor system.
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Neural population dynamics during reaching
Mark M. Churchland;John P. Cunningham;John P. Cunningham;Matthew T. Kaufman;Justin D. Foster.
Stimulus onset quenches neural variability: a widespread cortical phenomenon
Mark M. Churchland;Byron M. Yu;Byron M. Yu;John P. Cunningham;Leo P. Sugrue;Leo P. Sugrue.
Nature Neuroscience (2010)
A high-performance brain–computer interface
Gopal Santhanam;Stephen I. Ryu;Byron M. Yu;Afsheen Afshar.
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity
Byron M Yu;John P Cunningham;Gopal Santhanam;Stephen I. Ryu.
neural information processing systems (2008)
A high-performance neural prosthesis enabled by control algorithm design
Vikash Gilja;Paul Nuyujukian;Cindy A Chestek;John P Cunningham;John P Cunningham.
Nature Neuroscience (2012)
Image-guided hypo-fractionated stereotactic radiosurgery to spinal lesions.
Stephen I. Ryu;Steven D. Chang;Daniel H Kim;Martin J. Murphy.
Neural Variability in Premotor Cortex Provides a Signature of Motor Preparation
Mark M. Churchland;Byron M. Yu;Stephen I. Ryu;Gopal Santhanam.
The Journal of Neuroscience (2006)
Cortical activity in the null space: permitting preparation without movement
Matthew T Kaufman;Mark M Churchland;Stephen I Ryu;Krishna V Shenoy.
Nature Neuroscience (2014)
Neural constraints on learning
Patrick T. Sadtler;Kristin M. Quick;Matthew D. Golub;Steven M. Chase.
Cortical Preparatory Activity: Representation of Movement or First Cog in a Dynamical Machine?
Mark M. Churchland;John P. Cunningham;John P. Cunningham;Matthew T. Kaufman;Stephen I. Ryu;Stephen I. Ryu.
Profile was last updated on December 6th, 2021.
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