Object Recognition and Sensitive Periods: A Computational Analysis of Visual Imprinting. - Randall C. O'Reilly; Mark H. Johnson (Neural Comput., 1994)

Biologically Plausible Error-Driven Learning Using Local Activation Differences: The Generalized Recirculation Algorithm. - Randall C. O'Reilly (Neural Comput., 1996)

A Hippocampal Model of Recognition Memory. - Randall C. O'Reilly; Kenneth A. Norman; James L. McClelland (NIPS, 1997)

Generalizable Relational Binding from Coarse-coded Distributed Representations. - Randall C. O'Reilly; Richard S. Busby (NIPS, 2001)

A Model of the Phonological Loop: Generalization and Binding. - Randall C. O'Reilly; R. Soto (NIPS, 2001)

Generalization in Interactive Networks: The Benefits of Inhibitory Competition and Hebbian Learning. - Randall C. O'Reilly (Neural Comput., 2001)

Learning representations in a gated prefrontal cortex model of dynamic task switching. - Nicolas P. Rougier; Randall C. O'Reilly (Cogn. Sci., 2002)

Persistence and accommodation in short-term priming and other perceptual paradigms: temporal segregation through synaptic depression. - David E. Huber; Randall C. O'Reilly (Cogn. Sci., 2003)

Neural mechanisms of binding in the hippocampus and neocortex: insights from computational models. - Daniel M. Cer; Randall C. O'Reilly (Handbook of Binding and Memory, 2006)

Neural Mechanisms of Cognitive Control: An Integrative Model of Stroop Task Performance and fMRI Data. - Seth A. Herd; Marie T. Banich; Randall C. O'Reilly (J. Cogn. Neurosci., 2006)

Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia. - Randall C. O'Reilly; Michael Joshua Frank (Neural Comput., 2006)

The SAL Integrated Cognitive Architecture. - Christian Lebiere; Randall C. O'Reilly; David J. Jilk; Niels Taatgen; John R. Anderson (AAAI Fall Symposium: Biologically Inspired Cognitive Architectures, 2008)

SAL: an explicitly pluralistic cognitive architecture. - David J. Jilk; Christian Lebiere; Randall C. O'Reilly; John R. Anderson (J. Exp. Theor. Artif. Intell., 2008)

Beyond red states and blue states in cognitive science. - David J. Jilk; Christian Lebiere; Randall C. O'Reilly; John R. Anderson (J. Exp. Theor. Artif. Intell., 2008)

eCortex and the Computational Cognitive Neuroscience Lab at CU Boulder. - Randall C. O'Reilly; David J. Jilk (IEEE Intell. Informatics Bull., 2009)

Dopamine and self-directed learning. - Seth A. Herd; Brian Mingus; Randall C. O'Reilly (BICA, 2010)

The Role of the Basal Ganglia - Anterior Prefrontal Circuit as a Biological Instruction Interpreter. - Andrea Stocco 002; Christian Lebiere; Randall C. O'Reilly; John R. Anderson (BICA, 2010)

A Metacognitive Classifier Using a Hybrid ACT-R/Leabra Architecture. - Yury Vinokurov; Christian Lebiere; Seth A. Herd; Randall C. O'Reilly (Lifelong Learning, 2011)

Learning categories with invariances in a neural network model of prefrontal cortex. - Suhas E. Chelian; Rajan Bhattacharyya; Randall C. O'Reilly (BICA, 2011)

Human-artificial-intelligence hybrid learning systems. - Seth A. Herd; Geoffrey Urland; Brian Mingus; Randall C. O'Reilly (BICA, 2011)

Adaptive Recall in Hippocampus. - Michael D. Howard; Rajan Bhattacharyya; Randall C. O'Reilly; Giorgio A. Ascoli; Jean-Marc Fellous (BICA, 2011)

Unsurpervised Learning in Hybrid Cognitive Architectures. - Yury Vinokurov; Christian Lebiere; Dean Wyatte; Seth A. Herd; Randall C. O'Reilly (NeSy@AAAI, 2012)

Expectancy, Ambiguity, and Behavioral Flexibility: Separable and Complementary Roles of the Orbital Frontal Cortex and Amygdala in Processing Reward Expectancies. - Wolfgang M. Pauli; Thomas E. Hazy; Randall C. O'Reilly (J. Cogn. Neurosci., 2012)

The Limits of Feedforward Vision: Recurrent Processing Promotes Robust Object Recognition when Objects Are Degraded. - Dean Wyatte; Tim Curran; Randall C. O'Reilly (J. Cogn. Neurosci., 2012)

Integrating Systems and Theories in the SAL Hybrid Architecture. - Andrew Michael Szabados; Seth A. Herd; Yury Vinokurov; Christian Lebiere; Randall C. O'Reilly (AAAI Fall Symposia, 2013)

Strategic Cognitive Sequencing: A Computational Cognitive Neuroscience Approach. - Seth A. Herd; Kai A. Krueger; Trenton E. Kriete; Tsung-Ren Huang; Thomas E. Hazy; Randall C. O'Reilly (Comput. Intell. Neurosci., 2013)

Assembling Old Tricks for New Tasks: A Neural Model of Instructional Learning and Control. - Tsung-Ren Huang; Thomas E. Hazy; Seth A. Herd; Randall C. O'Reilly (J. Cogn. Neurosci., 2013)

Theta Coordinated Error-Driven Learning in the Hippocampus. - Nicholas Ketz; Srinimisha G. Morkonda; Randall C. O'Reilly (PLoS Comput. Biol., 2013)

Complementary Learning Systems. - Randall C. O'Reilly; Rajan Bhattacharyya; Michael D. Howard; Nicholas Ketz (Cogn. Sci., 2014)

Classification aided analysis of oscillatory signatures in controlled retrieval. - Nicholas Ketz; Randall C. O'Reilly; Tim Curran (NeuroImage, 2014)

How the credit assignment problems in motor control could be solved after the cerebellum predicts increases in error. - Sergio Oscar Verduzco-Flores; Randall C. O'Reilly (Frontiers Comput. Neurosci., 2015)

Anthropomorphic reasoning about neuromorphic AGI safety. - David J. Jilk; Seth J. Herd; Stephen J. Read; Randall C. O'Reilly (J. Exp. Theor. Artif. Intell., 2017)

Extracting and Utilizing Abstract, Structured Representations for Analogy. - Steven Frankland; Taylor W. Webb; Alexander A. Petrov; Randall C. O'Reilly; Jonathan Cohen 003 (CogSci, 2019)

Understanding interactions amongst cognitive control, learning and representation. - Sebastian Musslick; Abigail Novick Hoskin; Taylor W. Webb; Steven Frankland; Jonathan D. Cohen 003; Rebecca L. Jackson; Matthew A. Lambon Ralph; Lang Chen; Timothy T. Rogers; Randall C. O'Reilly; Alexander A. Petrov (CogSci, 2019)

A tradeoff between generalization and perceptual capacity in recurrent neural networks. - Taylor W. Webb; Steven Frankland; Simon N. Segert; Alexander A. Petrov; Randall C. O'Reilly; Jonathan Cohen 003 (CogSci, 2019)

Compositional generalization in a deep seq2seq model by separating syntax and semantics. - Jake Russin; Jason Jo; Randall C. O'Reilly; Yoshua Bengio (CoRR, 2019)

Compositional Generalization by Factorizing Alignment and Translation. - Jacob L. Russin; Jason Jo; Randall C. O'Reilly; Yoshua Bengio (ACL (student), 2020)

Systematicity in a Recurrent Neural Network by Factorizing Syntax and Semantics. - Jacob L. Russin; Jason Jo; Randall C. O'Reilly; Yoshua Bengio (CogSci, 2020)

Learning Representations that Support Extrapolation. - Taylor W. Webb; Zachary Dulberg; Steven Frankland; Alexander A. Petrov; Randall C. O'Reilly; Jonathan Cohen 003 (ICML, 2020)

Complementary Structure-Learning Neural Networks for Relational Reasoning. - Jacob L. Russin; Maryam Zolfaghar; Seongmin A. Park; Erie Boorman; Randall C. O'Reilly (CogSci, 2021)

Deep Predictive Learning in Neocortex and Pulvinar. - Randall C. O'Reilly; Jacob L. Russin; Maryam Zolfaghar; John Rohrlich (J. Cogn. Neurosci., 2021)

A Neural Network Model of Continual Learning with Cognitive Control. - Jacob L. Russin; Maryam Zolfaghar; Seongmin A. Park; Erie Boorman; Randall C. O'Reilly (CogSci, 2022)

The Geometry of Map-Like Representations under Dynamic Cognitive Control. - Maryam Zolfaghar; Jacob L. Russin; Seongmin A. Park; Erie Boorman; Randall C. O'Reilly (CogSci, 2022)

Systematicity Emerges in Transformers when Abstract Grammatical Roles Guide Attention. - Ayush K. Chakravarthy; Jacob Labe Russin; Randall C. O'Reilly (NAACL-HLT (Student Research Workshop), 2022)

Correcting the hebbian mistake: Toward a fully error-driven hippocampus. - Yicong Zheng; Xiaonan L. Liu; Satoru Nishiyama; Charan Ranganath; Randall C. O'Reilly (PLoS Comput. Biol., 2022)

The Relational Bottleneck as an Inductive Bias for Efficient Abstraction. - Taylor W. Webb; Steven M. Frankland; Awni Altabaa; Kamesh Krishnamurthy; Declan Campbell; Jacob L. Russin; Randall C. O'Reilly; John Lafferty; Jonathan D. Cohen 003 (CoRR, 2023)

Towards Reverse-Engineering the Brain: Brain-Derived Neuromorphic Computing Approach with Photonic, Electronic, and Ionic Dynamicity in 3D integrated circuits. - S. J. Ben Yoo; Luis El Srouji; Suman Datta; Shimeng Yu; Jean Anne C. Incorvia; Alberto Salleo; Volker J. Sorger; Juejun Hu; Lionel C. Kimerling; Kristofer Bouchard; Joy Geng; Rishidev Chaudhuri; et al. (CoRR, 2024)

Flexible Prefrontal Control over Hippocampal Episodic Memory for Goal-Directed Generalization. - Yicong Zheng; Nora Wolf; Charan Ranganath; Randall C. O'Reilly; Kevin L. McKee (CoRR, 2025)