Randall C. O'Reilly
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Psychology
Randall C. O'Reilly's Degrees
- PhD Psychology University of Colorado Boulder
- Bachelors Psychology University of California, San Diego
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Why Is Randall C. O'Reilly Influential?
(Suggest an Edit or Addition)According to Wikipedia, Randall Charles O'Reilly is a professor of psychology and computer science at the Center for Neuroscience at the University of California, Davis. His lab moved to UC Davis from the University of Colorado at Boulder in 2019.
Randall C. O'Reilly's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. (1995) (4655)
- By Carrot or by Stick: Cognitive Reinforcement Learning in Parkinsonism (2004) (1851)
- Modeling hippocampal and neocortical contributions to recognition memory: a complementary-learning-systems approach. (2003) (1215)
- Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia (2006) (962)
- Conjunctive representations in learning and memory: principles of cortical and hippocampal function. (2001) (876)
- Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain (2000) (858)
- Hippocampal conjunctive encoding, storage, and recall: Avoiding a trade‐off (1994) (854)
- Interactions between frontal cortex and basal ganglia in working memory: A computational model (2001) (822)
- A unified framework for inhibitory control (2011) (506)
- A computational approach to prefrontal cortex, cognitive control and schizophrenia: recent developments and current challenges. (1996) (489)
- A mechanistic account of striatal dopamine function in human cognition: psychopharmacological studies with cabergoline and haloperidol. (2006) (450)
- Biologically Based Computational Models of High-Level Cognition (2006) (434)
- Towards an executive without a homunculus: computational models of the prefrontal cortex/basal ganglia system (2007) (404)
- Prefrontal cortex and flexible cognitive control: rules without symbols. (2005) (362)
- Biologically Plausible Error-Driven Learning Using Local Activation Differences: The Generalized Recirculation Algorithm (1996) (359)
- A Biologically Based Computational Model of Working Memory (1999) (356)
- Hippocampal and neocortical contributions to memory: advances in the complementary learning systems framework (2002) (332)
- Banishing the homunculus: Making working memory work (2006) (317)
- Six principles for biologically based computational models of cortical cognition (1998) (314)
- Under what conditions is recognition spared relative to recall after selective hippocampal damage in humans? (2002) (310)
- Contextual fear conditioning, conjunctive representations, pattern completion, and the hippocampus. (1999) (283)
- Anorexia Nervosa and Obesity are Associated with Opposite Brain Reward Response (2012) (274)
- Hippocampal formation supports conditioning to memory of a context. (2002) (271)
- Dissociated overt and covert recognition as an emergent property of a lesioned neural network. (1993) (265)
- Conjunctive representations, the hippocampus, and contextual fear conditioning (2001) (262)
- Separate neural substrates for skill learning and performance in the ventral and dorsal striatum (2007) (252)
- Prefrontal cortex and dynamic categorization tasks: representational organization and neuromodulatory control. (2002) (250)
- The What and How of prefrontal cortical organization (2010) (236)
- Testing Computational Models of Dopamine and Noradrenaline Dysfunction in Attention Deficit/Hyperactivity Disorder (2007) (209)
- Complementary Learning Systems (2014) (204)
- Computational principles of learning in the neocortex and hippocampus (2000) (199)
- Computational Explorations in Cognitive Neuroscience (2009) (183)
- Hippocampus, cortex, and basal ganglia: Insights from computational models of complementary learning systems (2004) (175)
- Transitivity, flexibility, conjunctive representations, and the hippocampus. I. An empirical analysis (2003) (172)
- Recurrent Processing during Object Recognition (2011) (153)
- Regional specialization within the human striatum for diverse psychological functions (2016) (149)
- Generalization in Interactive Networks: The Benefits of Inhibitory Competition and Hebbian Learning (2001) (148)
- Figure-ground organization and object recognition processes: an interactive account. (1998) (147)
- Neural Mechanisms of Cognitive Control: An Integrative Model of Stroop Task Performance and fMRI Data (2006) (146)
- Memory for context is impaired by injecting anisomycin into dorsal hippocampus following context exploration (2002) (144)
- PVLV: the primary value and learned value Pavlovian learning algorithm. (2007) (137)
- Transitivity, flexibility, conjunctive representations, and the hippocampus. II. A computational analysis (2003) (116)
- A preliminary theory of the interactions between prefrontal cortex and hippocampus that contribute to planning and prospective memory. (1996) (115)
- Indirection and symbol-like processing in the prefrontal cortex and basal ganglia (2013) (115)
- SAL: an explicitly pluralistic cognitive architecture (2008) (113)
- Computational models of cognitive control (2010) (109)
- The Limits of Feedforward Vision: Recurrent Processing Promotes Robust Object Recognition when Objects Are Degraded (2012) (107)
- Altered Temporal Difference Learning in Bulimia Nervosa (2011) (105)
- Neural mechanisms of acquired phasic dopamine responses in learning (2010) (105)
- Thalamic pathways underlying prefrontal cortex–medial temporal lobe oscillatory interactions (2015) (101)
- A neural network model of individual differences in task switching abilities (2014) (98)
- Early recurrent feedback facilitates visual object recognition under challenging conditions (2014) (97)
- When logic fails: Implicit transitive inference in humans (2005) (93)
- Persistence and accommodation in short-term priming and other perceptual paradigms: temporal segregation through synaptic depression (2003) (89)
- Neural inhibition enables selection during language processing (2010) (88)
- Object Recognition and Sensitive Periods: A Computational Analysis of Visual Imprinting (1994) (81)
- Three forms of binding and their neural substrates: Alternatives to temporal synchrony (2003) (79)
- Compositional generalization in a deep seq2seq model by separating syntax and semantics (2019) (75)
- Prefrontal cortex and the organization of recent and remote memories: an alternative view. (2005) (70)
- The Function and Organization of Lateral Prefrontal Cortex: A Test of Competing Hypotheses (2012) (70)
- Learning representations in a gated prefrontal cortex model of dynamic task switching (2002) (68)
- When Memory Fails, Intuition Reigns (2006) (68)
- Visual Representation in the Wild: How Rhesus Monkeys Parse Objects (2001) (66)
- Theta Coordinated Error-Driven Learning in the Hippocampus (2013) (59)
- Distinct contributions of the caudate nucleus, rostral prefrontal cortex, and parietal cortex to the execution of instructed tasks (2012) (57)
- Prefrontal Cortex and the Flexibility of Cognitive Control : Rules Without Symbols (57)
- Developing PFC representations using reinforcement learning (2009) (57)
- The Leabra Cognitive Architecture: How to Play 20 Principles with Nature and Win! (2012) (57)
- A Hippocampal Model of Recognition Memory (1997) (54)
- Inhibiting PKMζ reveals dorsal lateral and dorsal medial striatum store the different memories needed to support adaptive behavior. (2012) (53)
- Generalizable Relational Binding from Coarse-coded Distributed Representations (2001) (43)
- Attentional control of associative learning—A possible role of the central cholinergic system (2008) (40)
- Receptive Field Characteristics That Allow Parietal Lobe Neurons to Encode Spatial Properties of Visual Input: A Computational Analysis (1990) (39)
- Graded effects in hierarchical figure-ground organization: reply to Peterson (1999). (2000) (39)
- The dynamics of integration and separation: ERP, MEG, and neural network studies of immediate repetition effects. (2008) (38)
- Goal-Driven Cognition in the Brain: A Computational Framework (2014) (36)
- Persistence and accommodation in short‐term priming and other perceptual paradigms: temporal segregation through synaptic depression (2003) (36)
- Prediction error and somatosensory insula activation in women recovered from anorexia nervosa. (2016) (36)
- Learning Through Time in the Thalamocortical Loops (2014) (35)
- SIMULATION AND EXPLANATION IN NEUROPSYCHOLOGY AND BEYOND (1999) (34)
- Modeling Hippocampal and Neocortical Contributions to RecognitionMemory (2000) (33)
- Neural mechanisms of binding in the hippocampus and neocortex: insights from computational models (2006) (31)
- Deep Predictive Learning: A Comprehensive Model of Three Visual Streams (2017) (30)
- Expectancy, Ambiguity, and Behavioral Flexibility: Separable and Complementary Roles of the Orbital Frontal Cortex and Amygdala in Processing Reward Expectancies (2012) (28)
- Assembling Old Tricks for New Tasks: A Neural Model of Instructional Learning and Control (2013) (28)
- Learning Representations that Support Extrapolation (2020) (27)
- A continuous-time neural model for sequential action (2014) (26)
- The Role of Competitive Inhibition and Top-Down Feedback in Binding during Object Recognition (2012) (24)
- A Model of the Phonological Loop: Generalization and Binding (2001) (23)
- Higher-Level Cognitive Functions and Connectionist Modeling. Developmental and Computational Neuroscience Approaches to Cognition: The Case of Generalization. (2003) (21)
- Serial visual search from a parallel model (2005) (21)
- Deep Predictive Learning in Neocortex and Pulvinar (2020) (20)
- Classification aided analysis of oscillatory signatures in controlled retrieval (2014) (19)
- Strategic Cognitive Sequencing: A Computational Cognitive Neuroscience Approach (2013) (17)
- Latent structure in random sequences drives neural learning toward a rational bias (2015) (17)
- A Family of Large-Stencil Discrete Laplacian Approximations in Three Dimensions (2006) (16)
- The role of the dorsal striatum and dorsal hippocampus in probabilistic and deterministic odor discrimination tasks. (2008) (15)
- Unraveling the Mysteries of Motivation (2020) (15)
- Developmental and Computational Approaches to Variation in Working Memory (2008) (15)
- A Metacognitive Classifier Using a Hybrid ACT-R/Leabra Architecture (2011) (14)
- Compositional Generalization by Factorizing Alignment and Translation (2020) (14)
- How Limited Systematicity Emerges: A Computational Cognitive Neuroscience Approach (Author's Manuscript) (2014) (13)
- A systems-neuroscience model of phasic dopamine. (2020) (12)
- The SAL Integrated Cognitive Architecture (2008) (12)
- The Division of Labor Between the Neocortex and Hippocampus (2010) (11)
- A Mechanistic Account of Striatal Dopamine Function in Cognition : Psychopharmacological Studies with Cabergoline and Haloperidol Supplemental Material (11)
- Modeling Integration and Dissociation in Brain and Cognitive Development (11)
- The Leabra architecture: Specialization without modularity (2010) (10)
- How Sequential Interactive Processing Within Frontostriatal Loops Supports a Continuum of Habitual to Controlled Processing (2020) (9)
- Proceedings From FDA/A.S.P.E.N. Public Workshop: Clinical Trial Design for Intravenous Fat Emulsion Products, October 29, 2013. (2015) (9)
- Dopamine and self-directed learning (2010) (9)
- Modelling Natural Action Selection: Toward an executive without a homunculus: computational models of the prefrontal cortex/basal ganglia system (2011) (9)
- Discrete Representations in Working Memory : A Hypothesis and Computational Investigations (1999) (9)
- How the credit assignment problems in motor control could be solved after the cerebellum predicts increases in error (2015) (8)
- Psychological Function in Computational Models of Neural Networks (2003) (8)
- Unsurpervised Learning in Hybrid Cognitive Architectures (2012) (8)
- Integrating what & how / where with instrumental and Pavlovian learning A biologically based computational model (2010) (8)
- Effectiveness of Neural Network Learning Rules Generated by a Biophysical Model of Synaptic Plasticity (2003) (7)
- Neural Mechanisms of Human Decision-Making (2019) (7)
- Integrating top-down expectations with bottom-up perceptual processing in a hybrid neural-symbolic architecture (2013) (7)
- Midazolam, hippocampal function, and transitive inference: Reply to Greene (2008) (7)
- The Leabra Cognitive Architecture (2017) (7)
- The Neural Correlates of Cued Reward Omission (2021) (6)
- The Role of the Basal Ganglia - Anterior Prefrontal Circuit as a Biological Instruction Interpreter (2010) (6)
- The Structure of Systematicity in the Brain (2021) (6)
- Anthropomorphic reasoning about neuromorphic AGI safety (2017) (5)
- A Neural Network Model of Continual Learning with Cognitive Control (2022) (5)
- Why do we have a special learning system in the hippocampus?,(Abstract 580) (1993) (5)
- Dissociated Overt and Covert Recognition as an Emergent Property of Lesioned Attractor Networks (1992) (5)
- Systematicity in a Recurrent Neural Network by Factorizing Syntax and Semantics (2020) (5)
- Integrating theories of motor sequencing in the SAL hybrid architecture (2014) (4)
- Hippocampal ConjunctiveEncoding , Storage and Recall : Avoiding a Tradeo (1994) (4)
- Complementary Structure-Learning Neural Networks for Relational Reasoning (2021) (4)
- The bimodality of saccade duration during the exploration of visual scenes (2020) (4)
- Computational models of motivated frontal function. (2019) (4)
- How Limited Systematicity Emerges (2014) (3)
- Longitudinal Assessment and Functional Neuroimaging of Movement Variability Reveal Novel Insights Into Motor Dysfunction in Clinical High Risk for Psychosis. (2020) (3)
- Correcting the hebbian mistake: Toward a fully error-driven hippocampus (2021) (3)
- Goal Changes in Intelligent Agents (2018) (3)
- Systematicity Emerges in Transformers when Abstract Grammatical Roles Guide Attention (2022) (2)
- The neural correlates of perceptual awareness: Evidence from Covert recognition in prosopagnosia (1997) (2)
- Adaptive Recall in Hippocampus (2011) (2)
- An Analog Cellular Automaton Model of Maxwell-Dirac Electrodynamics (2005) (2)
- Individual Differences in Cognitive Flexibility (2013) (2)
- A Neural Network Model of Individual Differences in Task Switching Abilities (Author's Manuscript) (2014) (2)
- Electronic Supplementary Material for “ Toward an Executive without a Homunculus ” (2)
- Corrigendum to “Computational models of cognitive control” [Curr. Opin. Neurobiol. 20 (2010) 257–261] (2010) (2)
- Learning categories with invariances in a neural network model of prefrontal cortex (2011) (2)
- Effects of retrieval practice on tested and untested information: Cortico-hippocampal interactions and error-driven learning (2021) (2)
- Distinct contributions of the caudate nucleus, rostral prefrontal cortex, and parietal cortex to the execution of instructed tasks (2012) (1)
- Surely You Must All be Joking: An Outsider's Critique of Quantum Physics (2011) (1)
- Computational Neuroscientific Models of Working Memory (2021) (1)
- Deep Predictive Learning in Vision (2018) (1)
- Faculty Opinions recommendation of Striatonigrostriatal pathways in primates form an ascending spiral from the shell to the dorsolateral striatum. (2003) (1)
- Recurrent processing during object recognition Supporting Information (2012) (1)
- Locally Learned Synaptic Dropout for Complete Bayesian Inference (2021) (1)
- Computational Neuroscience: From Biology to Cognition (2006) (1)
- Encyclopedia of Cognitive Sciences Computational Neuroscience: From Biology to Cognition Article Ref. Code 51 (2001) (1)
- A model of proactive and reactive cognitive control with anterior cingulate cortex and the neuromodulatory system (2014) (1)
- Integrated Cognitive Architectures For Robust Decision Making (2010) (1)
- Learning in Parkinsonism By Carrot or by Stick : Cognitive Reinforcement (2009) (1)
- Extracting and Utilizing Abstract, Structured Representations for Analogy (2019) (1)
- High-Level Cognition Biologically Based Computational Models of (2006) (0)
- An Analog Cellular Automaton Model of Gravitation: Planck-Scale Black Holes (2005) (0)
- Co-registration of eye movements and EEG to study semantic congruency during scene perception (2016) (0)
- The representational geometry of cognitive maps under dynamic cognitive control (2023) (0)
- Object Recognition’s Garden Path: Low Spatial Frequencies (2020) (0)
- The geometry of cognitive maps under dynamic cognitive control (2022) (0)
- Part I : Computational Mechanisms for Robust Decision-Making Integration (2010) (0)
- eCortex and the Computational Cognitive Neuroscience Lab at CU Boulder (2009) (0)
- Unde rWha tCondition sI sRecognitio nSpare dRelative t oRecal lAfte rSelectiv eHippocampa lDamage i nHumans (2002) (0)
- Learning in the neocortex and hippocampus: Principles from computational models (2003) (0)
- A tradeoff between generalization and perceptual capacity in recurrent neural networks (2019) (0)
- Reply to Aksentijevic: It is a matter of what is countable and how neurons learn (2015) (0)
- PARALLELIZED DEEP NEURAL NETWORKS FOR DISTRIBUTED INTELLIGENT SYSTEMS (0)
- Editorial Board and Contents (2015) (0)
- An Autonomous , Emergent Framework for Fundamental Physics : Particles as Waves Trapped by Gravity : Supplemental Discussion (0)
- Integrating Systems and Theories in the SAL Hybrid Architecture (2013) (0)
- Relationships Between Reward-Based Decision Making and Activation in a Frontal-Striatal Network in Schizophrenia vs. Bipolar Disorder (2021) (0)
- Beyond red states and blue states in cognitive science (2008) (0)
- Accounting for Stroop Task Neuroimaging Data : Lateral Interactions & Frontal Representations (2001) (0)
- Surely You Must All be Joking : An Outsider ’ s Critique of the Current State of Quantum Physics (2011) (0)
- The role of feedback projections in a biologically realistic, high performance model of object recognition (2010) (0)
- Altered Associations Between Motivated Performance and Frontostriatal Functional Connectivity During Reward Anticipation in Schizophrenia. (2023) (0)
- Faculty Opinions recommendation of Suppression of cortical representation through backward conditioning. (2003) (0)
- Memory out of context: Spacing effects and decontextualization in a computational model of the medial temporal lobe (2023) (0)
- Faculty Opinions recommendation of Specific impairments of rule induction in different frontal lobe subgroups. (2005) (0)
- 8. Altered Associations Between Task Ability and Dorsolateral Prefrontal Activation During a Cognitive Control Task in Schizophrenia (2023) (0)
- From Spikes to Object Recognition and Beyond : Building an Embodied Brain (2009) (0)
- Adaptive Synaptic Failure Enables Sampling from Posterior Predictive Distributions in the Brain (2022) (0)
- store the different memories needed to support adaptive behavior reveals dorsal lateral and dorsal medial striatum ζ Inhibiting PKM (2012) (0)
- Neural Mechanisms of Human Decision-Making (2021) (0)
- Computational Contributions of the Thalamus to Learning and Memory (2021) (0)
- Understanding interactions amongst cognitive control, learning and representation (2019) (0)
- 20. Object Recognition and Sensitive Periods: A Computational Analysis of Visual Imprinting (2008) (0)
- Statistical Learning in Speech: A Biologically Based Predictive Learning Model (2021) (0)
- Human-artificial-intelligence hybrid learning systems (2011) (0)
- A computational model of prefrontal cortical and hippocampal function, and their interaction in behavioral tasks (1995) (0)
- TARGET ARTICLE SAL: an explicitly pluralistic cognitive architecture (2008) (0)
- The cerebellum as a predictor of error increase in a controller (2014) (0)
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