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
Neuroscience D-index 62 Citations 27,867 120 World Ranking 1298 National Ranking 647
Psychology D-index 62 Citations 27,937 120 World Ranking 1930 National Ranking 1165

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Cognition
  • Neuroscience

Randall C. O'Reilly mainly focuses on Cognition, Neuroscience, Cognitive psychology, Cognitive science and Prefrontal cortex. Randall C. O'Reilly is interested in Connectionism, which is a branch of Cognition. His research combines Schizophrenia and Neuroscience.

His Cognitive psychology research is multidisciplinary, incorporating perspectives in Neocortex, First episode and Procedural memory. His Cognitive science research focuses on Memoria and how it connects with Recognition memory. He has researched Hippocampus in several fields, including Spatial view cells and Multiple trace theory.

His most cited work include:

  • Why there are complementary learning systems in the hippocampus and neocortex: Insights from the successes and failures of connectionist models of learning and memory. (3620 citations)
  • By Carrot or by Stick: Cognitive Reinforcement Learning in Parkinsonism (1500 citations)
  • Modeling hippocampal and neocortical contributions to recognition memory: a complementary-learning-systems approach. (991 citations)

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

Randall C. O'Reilly mainly investigates Cognition, Neuroscience, Artificial intelligence, Cognitive science and Cognitive psychology. His work in the fields of Cognition, such as Connectionism, intersects with other areas such as Control. He focuses mostly in the field of Neuroscience, narrowing it down to topics relating to Recall and, in certain cases, Recognition memory.

His study in the field of Artificial neural network and Cognitive neuroscience of visual object recognition is also linked to topics like Leabra and SIGNAL. The Cognitive science study which covers Cognitive model that intersects with Rational analysis. The study incorporates disciplines such as Memoria, Cognitive neuropsychology, Pattern completion and Self-reference effect in addition to Cognitive psychology.

He most often published in these fields:

  • Cognition (32.93%)
  • Neuroscience (32.93%)
  • Artificial intelligence (31.14%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (31.14%)
  • Cognition (32.93%)
  • Artificial neural network (19.76%)

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

Artificial intelligence, Cognition, Artificial neural network, Natural language processing and Outcome are his primary areas of study. His Artificial intelligence study incorporates themes from Machine learning and Pattern recognition. His Cognition research includes themes of Cognitive science and Computational model.

His Cognitive science research integrates issues from Representation, Neuroscience research and Dorsolateral prefrontal cortex. His Computational model research incorporates elements of Computational neuroscience and Working memory. His Basal ganglia study contributes to a more complete understanding of Neuroscience.

Between 2017 and 2021, his most popular works were:

  • Compositional generalization in a deep seq2seq model by separating syntax and semantics. (29 citations)
  • Unraveling the Mysteries of Motivation (4 citations)
  • Learning Representations that Support Extrapolation (3 citations)

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

  • Artificial intelligence
  • Cognition
  • Neuroscience

His scientific interests lie mostly in Artificial intelligence, Heuristic, Syntax, Structure and Deep learning. His Artificial intelligence research is multidisciplinary, incorporating elements of Neocortex and Sensory system. His studies deal with areas such as Machine translation, Natural language processing, Semantic learning, Translation and Semantic memory as well as Heuristic.

His research ties Semantics and Syntax together.

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

Why there are complementary learning systems in the hippocampus and neocortex: Insights from the successes and failures of connectionist models of learning and memory.

James L. McClelland;Bruce L. McNaughton;Randall C. O'Reilly.
Psychological Review (1995)

5457 Citations

By Carrot or by Stick: Cognitive Reinforcement Learning in Parkinsonism

Michael J. Frank;Lauren C. Seeberger;Randall C. O'Reilly.
Science (2004)

1864 Citations

Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain

Randall C. O'Reilly;Yuko Munakata.
(2000)

1546 Citations

Modeling hippocampal and neocortical contributions to recognition memory: a complementary-learning-systems approach.

Kenneth A. Norman;Randall C. O'Reilly.
Psychological Review (2003)

1350 Citations

Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia

Randall C. O'Reilly;Michael J. Frank.
Neural Computation (2006)

1044 Citations

Hippocampal conjunctive encoding, storage, and recall: avoiding a trade-off.

Randall C. O'Reilly;James L. McClelland.
Hippocampus (1994)

969 Citations

Conjunctive representations in learning and memory: principles of cortical and hippocampal function.

Randall C. O'Reilly;Jerry W. Rudy.
Psychological Review (2001)

948 Citations

Interactions between frontal cortex and basal ganglia in working memory: a computational model.

Michael J. Frank;Bryan Loughry;Randall C. O’Reilly.
Cognitive, Affective, & Behavioral Neuroscience (2001)

939 Citations

A computational approach to prefrontal cortex, cognitive control and schizophrenia: Recent developments and current challenges

Jonathan D. Cohen;Todd S. Braver;Randall C. O'Reilly.
Philosophical Transactions of the Royal Society B (1996)

676 Citations

A unified framework for inhibitory control.

Yuko Munakata;Seth A. Herd;Christopher H. Chatham;Brendan E. Depue.
Trends in Cognitive Sciences (2011)

562 Citations

Best Scientists Citing Randall C. O'Reilly

Michael J. Frank

Michael J. Frank

Brown University

Publications: 127

Roshan Cools

Roshan Cools

Radboud University Nijmegen

Publications: 80

Jonathan D. Cohen

Jonathan D. Cohen

Princeton University

Publications: 68

Todd S. Braver

Todd S. Braver

Washington University in St. Louis

Publications: 65

Jan Born

Jan Born

University of Tübingen

Publications: 60

Bruce L. McNaughton

Bruce L. McNaughton

University of California, Irvine

Publications: 59

Kenneth A. Norman

Kenneth A. Norman

Princeton University

Publications: 58

Morris Moscovitch

Morris Moscovitch

University of Toronto

Publications: 55

Trevor W. Robbins

Trevor W. Robbins

University of Cambridge

Publications: 54

Michael E. Hasselmo

Michael E. Hasselmo

Boston University

Publications: 53

Anthony D. Wagner

Anthony D. Wagner

Stanford University

Publications: 53

Michael D. Rugg

Michael D. Rugg

The University of Texas at Dallas

Publications: 52

James L. McClelland

James L. McClelland

Stanford University

Publications: 52

Nathaniel D. Daw

Nathaniel D. Daw

Princeton University

Publications: 52

Raymond J. Dolan

Raymond J. Dolan

University College London

Publications: 52

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.

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