Randall C. O'Reilly

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Persistence and accommodation in short-term priming and other perceptual paradigms: temporal segregation through synaptic depression

David E. Huber, Randall C. O'Reilly, R. O’Reilly, 2003, Cogn. Sci..

Integrating Systems and Theories in the SAL Hybrid Architecture

Yury Vinokurov, Christian Lebiere, Randall C. O'Reilly, 2013, AAAI Fall Symposia.

Assembling Old Tricks for New Tasks: A Neural Model of Instructional Learning and Control

Randall C. O'Reilly, Seth A. Herd, Tsung-Ren Huang, 2013, Journal of Cognitive Neuroscience.

Neural Mechanisms of Cognitive Control: An Integrative Model of Stroop Task Performance and fMRI Data

Marie T. Banich, Randall C. O'Reilly, Seth A. Herd, 2006, Journal of Cognitive Neuroscience.

Learning Through Time in the Thalamocortical Loops

Randall C. O'Reilly, Dean Wyatte, John Rohrlich, 2014, 1407.3432.

SAL: an explicitly pluralistic cognitive architecture

John R. Anderson, Christian Lebiere, David J. Jilk, 2008, J. Exp. Theor. Artif. Intell..

Learning categories with invariances in a neural network model of prefrontal cortex

Randall C. O'Reilly, Suhas E. Chelian, Rajan Bhattacharyya, 2011, BICA.

Biologically Plausible Error-Driven Learning Using Local Activation Differences: The Generalized Recirculation Algorithm

Randall C. O'Reilly, R. O’Reilly, 1996, Neural Computation.

Human-artificial-intelligence hybrid learning systems

Randall C. O'Reilly, Seth A. Herd, Geoffrey Urland, 2011, BICA.

A Hippocampal Model of Recognition Memory

James L. McClelland, Kenneth A. Norman, Randall C. O'Reilly, 1997, NIPS.

The Leabra architecture: Specialization without modularity

David J. Jilk, Alexander A. Petrov, Randall C. O'Reilly, 2010, Behavioral and Brain Sciences.

Object Recognition and Sensitive Periods: A Computational Analysis of Visual Imprinting

Mark H. Johnson, Randall C. O'Reilly, R. O’Reilly, 1994, Neural Computation.

Deep Predictive Learning in Vision

Randall C. O'Reilly, John Rohrlich, R. O’Reilly, 2018 .

Strategic Cognitive Sequencing: A Computational Cognitive Neuroscience Approach

Trenton E. Kriete, Randall C. O'Reilly, Seth A. Herd, 2013, Comput. Intell. Neurosci..

Higher-Level Cognitive Functions and Connectionist Modeling. Developmental and Computational Neuroscience Approaches to Cognition: The Case of Generalization.

Randall C. O'Reilly, Yuko Munakata, R. O’Reilly, 2003 .

The role of feedback projections in a biologically realistic, high performance model of object recognition

Randall C. O'Reilly, Dean Wyatte, R. O’Reilly, 2010 .

Generalization in Interactive Networks: The Benefits of Inhibitory Competition and Hebbian Learning

Randall C. O'Reilly, R. O’Reilly, 2001, Neural Computation.

Generalizable Relational Binding from Coarse-coded Distributed Representations

Richard S. Busby, Randall C. O'Reilly, R. O’Reilly, 2001, NIPS.

Integrating top-down expectations with bottom-up perceptual processing in a hybrid neural-symbolic architecture

Yury Vinokurov, Christian Lebiere, Randall C. O'Reilly, 2013, BICA 2013.

Theta Coordinated Error-Driven Learning in the Hippocampus

Randall C. O'Reilly, Nicholas Ketz, Nicholas A. Ketz, 2013, PLoS Comput. Biol..

The Role of the Basal Ganglia - Anterior Prefrontal Circuit as a Biological Instruction Interpreter

John R. Anderson, Christian Lebiere, Andrea Stocco, 2010, BICA.

How the credit assignment problems in motor control could be solved after the cerebellum predicts increases in error

Randall C. O'Reilly, Sergio Oscar Verduzco-Flores, Sergio Oscar Verduzco-Flores, 2015, Front. Comput. Neurosci..

Integrated Cognitive Architectures For Robust Decision Making

John R. Anderson, Christian Lebiere, Randall C. O'Reilly, 2010 .

The SAL Integrated Cognitive Architecture

John R. Anderson, Christian Lebiere, David J. Jilk, 2008, AAAI Fall Symposium: Biologically Inspired Cognitive Architectures.

Anthropomorphic reasoning about neuromorphic AGI safety

David J. Jilk, Randall C. O'Reilly, Stephen J. Read, 2017, J. Exp. Theor. Artif. Intell..

Beyond red states and blue states in cognitive science

John R. Anderson, Christian Lebiere, David J. Jilk, 2008, J. Exp. Theor. Artif. Intell..

A Model of the Phonological Loop: Generalization and Binding

Randall C. O'Reilly, R. Soto, R. O’Reilly, 2001, NIPS.

A Metacognitive Classifier Using a Hybrid ACT-R/Leabra Architecture

Yury Vinokurov, Christian Lebiere, Randall C. O'Reilly, 2011, Lifelong Learning.

Learning representations in a gated prefrontal cortex model of dynamic task switching

Nicolas P. Rougier, Randall C. O'Reilly, R. O’Reilly, 2002, Cogn. Sci..

The Limits of Feedforward Vision: Recurrent Processing Promotes Robust Object Recognition when Objects Are Degraded

Tim Curran, Randall C. O'Reilly, Dean Wyatte, 2012, Journal of Cognitive Neuroscience.

Complementary Learning Systems

Michael D. Howard, Randall C. O'Reilly, Rajan Bhattacharyya, 2014, Cogn. Sci..

Effectiveness of Neural Network Learning Rules Generated by a Biophysical Model of Synaptic Plasticity

David J. Jilk, Randall C. O'Reilly, Daniel Cer, 2003 .

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

Michael J. Frank, Randall C. O'Reilly, Michael J. Frank, 2006, Neural Computation.

Expectancy, Ambiguity, and Behavioral Flexibility: Separable and Complementary Roles of the Orbital Frontal Cortex and Amygdala in Processing Reward Expectancies

Wolfgang M. Pauli, Randall C. O'Reilly, Thomas E. Hazy, 2012, Journal of Cognitive Neuroscience.

Dopamine and self-directed learning

Randall C. O'Reilly, Seth A. Herd, Brian Mingus, 2010, BICA.

Classification aided analysis of oscillatory signatures in controlled retrieval

Tim Curran, Randall C. O'Reilly, Nicholas Ketz, 2014, NeuroImage.

Why do we have a special learning system in the hippocampus?,(Abstract 580)

Bruce L. McNaughton, James L. McClelland, Randall C. O'Reilly, 1993 .

Adaptive Recall in Hippocampus

Giorgio A. Ascoli, Jean-Marc Fellous, Michael D. Howard, 2011, BICA.

Integrating theories of motor sequencing in the SAL hybrid architecture

Yury Vinokurov, Randall C. O'Reilly, Seth A. Herd, 2014, BICA 2014.

High-Level Cognition Biologically Based Computational Models of

Randall C. O'Reilly, R. O’Reilly, 2006 .

Neural mechanisms of binding in the hippocampus and neocortex: insights from computational models

Daniel M. Cer, Randall C. O'Reilly, R. O’Reilly, 2006, Handbook of Binding and Memory.

Complementary Structure-Learning Neural Networks for Relational Reasoning

Seongmin A. Park, Randall C. O'Reilly, Erie Boorman, 2021, CogSci ... Annual Conference of the Cognitive Science Society. Cognitive Science Society (U.S.). Conference.

Locally Learned Synaptic Dropout for Complete Bayesian Inference

Rishidev Chaudhuri, Randall C. O'Reilly, Ian C. Crandell, 2021, 2111.09780.

How Limited Systematicity Emerges

Christian Lebiere, Alexander A. Petrov, Randall C. O'Reilly, 2014 .

Learning Representations that Support Extrapolation pdf

Zachary Dulberg, Alexander A. Petrov, Randall C. O'Reilly, 2020, ICML.

Early recurrent feedback facilitates visual object recognition under challenging conditions

David J. Jilk, Randall C. O'Reilly, Dean Wyatte, 2014, Front. Psychol..

Recurrent Processing during Object Recognition

David J. Jilk, Randall C. O'Reilly, Seth A. Herd, 2011, Frontiers in Psychology.

Visual Representation in the Wild: How Rhesus Monkeys Parse Objects

Elizabeth S. Spelke, Randall C. O'Reilly, Marc D. Hauser, 2001, Journal of Cognitive Neuroscience.

Receptive Field Characteristics That Allow Parietal Lobe Neurons to Encode Spatial Properties of Visual Input: A Computational Analysis

Stephen M. Kosslyn, Christopher F. Chabris, Randall C. O'Reilly, 1990, Journal of Cognitive Neuroscience.

Persistence and accommodation in short‐term priming and other perceptual paradigms: temporal segregation through synaptic depression

David E. Huber, Randall C. O'Reilly, R. O’Reilly, 2003 .

Dissociated Overt and Covert Recognition as an Emergent Property of Lesioned Attractor Networks

Randall C. O'Reilly, Shaun P. Vecera, R. O’Reilly, 1992 .

Psychological Function in Computational Models of Neural Networks

Randall C. O'Reilly, Yuko Munakata, R. O’Reilly, 2003 .

How Limited Systematicity Emerges: A Computational Cognitive Neuroscience Approach (Author's Manuscript)

Christian Lebiere, Alexander A. Petrov, Randall C. O'Reilly, 2014 .

Hippocampal formation supports conditioning to memory of a context.

Randall C. O'Reilly, Jerry W. Rudy, Ruth M. Barrientos, 2002 .

Dissociated overt and covert recognition as an emergent property of a lesioned neural network.

Randall C. O'Reilly, Martha J. Farah, Shaun P. Vecera, 1993, Psychological review.