D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 50 Citations 9,022 106 World Ranking 1456 National Ranking 608
Neuroscience D-index 45 Citations 12,904 100 World Ranking 2743 National Ranking 1270

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Neuroscience
  • Machine learning

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.

His most cited work include:

  • Neural population dynamics during reaching (827 citations)
  • Neural population dynamics during reaching (827 citations)
  • Stimulus onset quenches neural variability: a widespread cortical phenomenon (761 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Brain–computer interface (57.29%)
  • Artificial intelligence (52.08%)
  • Neuroscience (48.96%)

What were the highlights of his more recent work (between 2016-2021)?

  • Neuroscience (48.96%)
  • Brain–computer interface (57.29%)
  • Artificial intelligence (52.08%)

In recent papers he was focusing on the following fields of study:

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.

Between 2016 and 2021, his most popular works were:

  • Inferring single-trial neural population dynamics using sequential auto-encoders. (180 citations)
  • Inferring single-trial neural population dynamics using sequential auto-encoders. (180 citations)
  • A theory of multineuronal dimensionality, dynamics and measurement (107 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Neuroscience
  • Machine learning

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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Neural population dynamics during reaching

Mark M. Churchland;John P. Cunningham;John P. Cunningham;Matthew T. Kaufman;Justin D. Foster.
Nature (2012)

1049 Citations

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)

895 Citations

A high-performance brain–computer interface

Gopal Santhanam;Stephen I. Ryu;Byron M. Yu;Afsheen Afshar.
Nature (2006)

784 Citations

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)

523 Citations

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)

439 Citations

Image-guided hypo-fractionated stereotactic radiosurgery to spinal lesions.

Stephen I. Ryu;Steven D. Chang;Daniel H Kim;Martin J. Murphy.
Neurosurgery (2001)

410 Citations

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)

410 Citations

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)

401 Citations

Neural constraints on learning

Patrick T. Sadtler;Kristin M. Quick;Matthew D. Golub;Steven M. Chase.
Nature (2014)

394 Citations

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.
Neuron (2010)

330 Citations

Best Scientists Citing Stephen I. Ryu

Krishna V. Shenoy

Krishna V. Shenoy

Stanford University

Publications: 77

Jose M. Carmena

Jose M. Carmena

University of California, Berkeley

Publications: 76

Lee E. Miller

Lee E. Miller

Northwestern University

Publications: 46

Nicholas G. Hatsopoulos

Nicholas G. Hatsopoulos

University of Chicago

Publications: 46

Konrad P. Kording

Konrad P. Kording

University of Pennsylvania

Publications: 41

John P. Donoghue

John P. Donoghue

Brown University

Publications: 40

Emery N. Brown

Emery N. Brown

MIT

Publications: 36

Andrew B. Schwartz

Andrew B. Schwartz

University of Pittsburgh

Publications: 36

Nitish V. Thakor

Nitish V. Thakor

National University of Singapore

Publications: 36

Liam Paninski

Liam Paninski

Columbia University

Publications: 33

Arto V. Nurmikko

Arto V. Nurmikko

Brown University

Publications: 30

Marc H. Schieber

Marc H. Schieber

University of Rochester

Publications: 30

Mark M. Churchland

Mark M. Churchland

Columbia University

Publications: 29

Karunesh Ganguly

Karunesh Ganguly

University of California, San Francisco

Publications: 29

Bijan Pesaran

Bijan Pesaran

New York University

Publications: 25

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

If you think any of the details on this page are incorrect, let us know.

Contact us
Something went wrong. Please try again later.