D-Index & Metrics Best Publications

D-Index & Metrics 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.

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
Neuroscience D-index 35 Citations 22,327 49 World Ranking 4251 National Ranking 1861

Research.com Recognitions

Awards & Achievements

1991 - Fellow of Alfred P. Sloan Foundation

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Neuron
  • Statistics

His primary areas of study are Neuroscience, Visual cortex, Stimulus, Anatomy and Receptive field. Many of his research projects under Neuroscience are closely connected to Depolarization with Depolarization, tying the diverse disciplines of science together. His Binding problem research is multidisciplinary, incorporating perspectives in Luminance, Line segment, Visual Physiology, Visual field and Coding.

His Visual cortex research includes themes of Tetrode, Neural coding, Gestalt psychology and Neural ensemble. Charles M. Gray combines Stimulus and In vivo in his studies. His Receptive field research focuses on subjects like Local field potential, which are linked to Communication, Monocular and Neuron.

His most cited work include:

  • Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties (3545 citations)
  • Visual feature integration and the temporal correlation hypothesis (2759 citations)
  • Stimulus-specific neuronal oscillations in orientation columns of cat visual cortex (2060 citations)

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

His scientific interests lie mostly in Neuroscience, Visual cortex, Stimulus, Artificial intelligence and Receptive field. His study brings together the fields of Anatomy and Neuroscience. His work carried out in the field of Anatomy brings together such families of science as Cerebral cortex and Cortex.

The various areas that Charles M. Gray examines in his Visual cortex study include Visual perception, Perception, Bursting and Cognitive science. His studies in Stimulus integrate themes in fields like Local field potential, Membrane potential and Communication. His research in Receptive field tackles topics such as Neural coding which are related to areas like Measure, Range and Spike count.

He most often published in these fields:

  • Neuroscience (76.19%)
  • Visual cortex (39.68%)
  • Stimulus (31.75%)

What were the highlights of his more recent work (between 2008-2018)?

  • Neuroscience (76.19%)
  • Artificial intelligence (17.46%)
  • Local field potential (12.70%)

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

His main research concerns Neuroscience, Artificial intelligence, Local field potential, Stimulus and Premovement neuronal activity. Charles M. Gray performs multidisciplinary studies into Neuroscience and Natural in his work. His studies deal with areas such as Machine learning, Visual cortex, Computer vision and Pattern recognition as well as Artificial intelligence.

The concepts of his Visual cortex study are interwoven with issues in Time perception, Photic Stimulation and Spike count. His research investigates the connection with Local field potential and areas like Eye movement which intersect with concerns in Mnemonic and Sensory system. The Stimulus study combines topics in areas such as Orientation column, Striate cortex and Stimulation, Under-stimulation.

Between 2008 and 2018, his most popular works were:

  • Content-Specific Fronto-Parietal Synchronization During Visual Working Memory (257 citations)
  • Optimizing the Decoding of Movement Goals from Local Field Potentials in Macaque Cortex (80 citations)
  • Modeling higher-order correlations within cortical microcolumns. (45 citations)

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

  • Neuroscience
  • Neuron
  • Statistics

His primary scientific interests are in Neuroscience, Local field potential, Visual perception, Frontal lobe and Working memory. All of his Neuroscience and Functional connectivity and Brain function investigations are sub-components of the entire Neuroscience study. Charles M. Gray combines subjects such as Gyrus, Nerve net, Macaque, Cognition and Functional integration with his study of Local field potential.

His work deals with themes such as Interference theory, Visual memory, Parietal lobe, Spatial memory and Posterior parietal cortex, which intersect with Visual perception.

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

Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties

Charles M. Gray;Peter König;Andreas K. Engel;Wolf Singer.
Nature (1989)

5070 Citations

Visual feature integration and the temporal correlation hypothesis

Wolf Singer;Charles M. Gray.
Annual Review of Neuroscience (1995)

3832 Citations

Stimulus-specific neuronal oscillations in orientation columns of cat visual cortex

Charles M. Gray;Wolf Singer.
Proceedings of the National Academy of Sciences of the United States of America (1989)

3111 Citations

Synchronous oscillations in neuronal systems: mechanisms and functions.

Charles M. Gray.
Journal of Computational Neuroscience (1994)

953 Citations

Chattering cells: superficial pyramidal neurons contributing to the generation of synchronous oscillations in the visual cortex.

Charles M. Gray;David A. McCormick.
Science (1996)

948 Citations

Tetrodes markedly improve the reliability and yield of multiple single-unit isolation from multi-unit recordings in cat striate cortex

Charles M. Gray;Pedro E. Maldonado;Mathew Wilson;Bruce McNaughton.
Journal of Neuroscience Methods (1995)

886 Citations

The Temporal Correlation Hypothesis of Visual Feature Integration: Still Alive and Well

Charles M. Gray.
Neuron (1999)

716 Citations

Stimulus‐Dependent Neuronal Oscillations in Cat Visual Cortex: Inter‐Columnar Interaction as Determined by Cross‐Correlation Analysis

Andreas K. Engel;Peter König;Charles M. Gray;Wolf Singer.
European Journal of Neuroscience (1990)

537 Citations

Dynamic spike threshold reveals a mechanism for synaptic coincidence detection in cortical neurons in vivo

Rony Azouz;Charles M. Gray.
Proceedings of the National Academy of Sciences of the United States of America (2000)

536 Citations

Cellular mechanisms contributing to response variability of cortical neurons in vivo.

Rony Azouz;Charles M. Gray.
The Journal of Neuroscience (1999)

467 Citations

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