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 32 Citations 6,594 73 World Ranking 4799 National Ranking 2064

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Neuroscience
  • Neuron

Neuroscience, Motor cortex, Artificial neural network, Control theory and Basal ganglia are his primary areas of study. His Cerebellum, Purkinje cell, Saccadic masking and Saccade study in the realm of Neuroscience interacts with subjects such as Long-term depression. His Motor cortex research incorporates themes from Adaptive control, Neural coding and Posterior parietal cortex.

His Artificial neural network study combines topics in areas such as Cognitive psychology, Recall, Sequence learning and Working memory, Cognition. His work in the fields of Linearization and Motor control overlaps with other areas such as Invariant. Daniel Bullock has researched Basal ganglia in several fields, including Dopaminergic, Frontal eye fields, Eye movement and Thalamus.

His most cited work include:

  • Neural dynamics of planned arm movements: emergent invariants and speed-accuracy properties during trajectory formation (740 citations)
  • Synchronous Oscillatory Neural Ensembles for Rules in the Prefrontal Cortex (301 citations)
  • Synchronous Oscillatory Neural Ensembles for Rules in the Prefrontal Cortex (301 citations)

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

His scientific interests lie mostly in Artificial neural network, Neuroscience, Artificial intelligence, Control theory and Basal ganglia. His Artificial neural network research includes elements of Cerebellum, Trajectory and Motion control. He interconnects Communication, Motor control and Computer vision in the investigation of issues within Artificial intelligence.

His studies in Communication integrate themes in fields like Color vision, Local field potential, Coordinate system and Pattern recognition. His research in Control theory intersects with topics in Motor cortex, Tonic, Simulation and Postural control. The various areas that Daniel Bullock examines in his Basal ganglia study include Neurophysiology, Cognitive science, Set, Frontal cortex and Reinforcement learning.

He most often published in these fields:

  • Artificial neural network (33.63%)
  • Neuroscience (32.74%)
  • Artificial intelligence (30.09%)

What were the highlights of his more recent work (between 2007-2020)?

  • Neuroscience (32.74%)
  • Basal ganglia (15.93%)
  • Artificial intelligence (30.09%)

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

The scientist’s investigation covers issues in Neuroscience, Basal ganglia, Artificial intelligence, Striatum and Dopamine. He combines subjects such as Forebrain, Cognitive science, Cognition and Speech recognition with his study of Basal ganglia. His Forebrain research integrates issues from Neurophysiology, Frontal lobe and Frontal cortex.

His biological study spans a wide range of topics, including Local field potential and Computer vision. In his research on the topic of Neuron, Motor cortex is strongly related with Torque. His Thalamus research is multidisciplinary, relying on both Speech production, Inhibitory postsynaptic potential and Motor program.

Between 2007 and 2020, his most popular works were:

  • Synchronous Oscillatory Neural Ensembles for Rules in the Prefrontal Cortex (301 citations)
  • Synchronous Oscillatory Neural Ensembles for Rules in the Prefrontal Cortex (301 citations)
  • Neural representations and mechanisms for the performance of simple speech sequences (194 citations)

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

  • Artificial intelligence
  • Neuroscience
  • Neuron

His main research concerns Neuroscience, Basal ganglia, Prefrontal cortex, Striatum and Dopamine. Many of his studies on Neuroscience apply to Torque as well. His Basal ganglia research includes elements of Frontal eye fields, Recall, Supplementary eye field, Superior colliculus and Ventral striatum.

His research integrates issues of Orientation, Linear model and Communication in his study of Prefrontal cortex. The study incorporates disciplines such as Tonic and Cholinergic in addition to Dopamine. Daniel Bullock works mostly in the field of Motor cortex, limiting it down to concerns involving Thalamus and, occasionally, Speech production.

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 dynamics of planned arm movements: emergent invariants and speed-accuracy properties during trajectory formation

D. Bullock;S. Grossberg.
Psychological Review (1988)

1135 Citations

HOW THE BASAL GANGLIA USE PARALLEL EXCITATORY AND INHIBITORY LEARNING PATHWAYS TO SELECTIVELY RESPOND TO UNEXPECTED REWARDING CUES

Joshua Brown;Daniel Bullock;Stephen Grossberg.
The Journal of Neuroscience (1999)

453 Citations

A self-organizing neural model of motor equivalent reaching and tool use by a multijoint arm

Daniel Bullock;Stephen Grossberg;Frank H. Guenther.
Journal of Cognitive Neuroscience (1993)

438 Citations

Metabotropic Glutamate Receptor Activation in Cerebellar Purkinje Cells as Substrate for Adaptive Timing of the Classically Conditioned Eye-Blink Response

John C. Fiala;Stephen Grossberg;Daniel Bullock.
The Journal of Neuroscience (1996)

396 Citations

Synchronous Oscillatory Neural Ensembles for Rules in the Prefrontal Cortex

Timothy J. Buschman;Eric L. Denovellis;Eric L. Denovellis;Cinira Diogo;Cinira Diogo;Daniel Bullock;Daniel Bullock.
Neuron (2012)

369 Citations

How laminar frontal cortex and basal ganglia circuits interact to control planned and reactive saccades

Joshua W. Brown;Daniel Bullock;Stephen Grossberg.
Neural Networks (2004)

319 Citations

Learning and production of movement sequences: Behavioral, neurophysiological, and modeling perspectives

Bradley J. Rhodes;Daniel Bullock;Willem B. Verwey;Bruno B. Averbeck.
Human Movement Science (2004)

301 Citations

Neural representations and mechanisms for the performance of simple speech sequences

Jason W. Bohland;Daniel Bullock;Frank H. Guenther.
Journal of Cognitive Neuroscience (2010)

295 Citations

Adaptive neural networks for control of movement trajectories invariant under speed and force rescaling

Daniel Bullock;Stephen Grossberg.
Human Movement Science (1991)

270 Citations

Cortical networks for control of voluntary arm movements under variable force conditions.

Daniel Bullock;Paul Cisek;Stephen Grossberg.
Cerebral Cortex (1998)

243 Citations

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