Randall C. O'Reilly

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Flexible Prefrontal Control over Hippocampal Episodic Memory for Goal-Directed Generalization. CoRR Yicong Zheng, Nora Wolf, Charan Ranganath, Randall C. O'Reilly, Kevin L. McKee
2024	J	`jnl`	Towards Reverse-Engineering the Brain: Brain-Derived Neuromorphic Computing Approach with Photonic, Electronic, and Ionic Dynamicity in 3D integrated circuits. CoRR 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, Charan Ranganath, Randall C. O'Reilly
2023	J	`jnl`	The Relational Bottleneck as an Inductive Bias for Efficient Abstraction. CoRR Taylor W. Webb, Steven M. Frankland, Awni Altabaa, Kamesh Krishnamurthy, Declan Campbell, Jacob L. Russin, Randall C. O'Reilly, John Lafferty, Jonathan D. Cohen
2022	B	`conf`	A Neural Network Model of Continual Learning with Cognitive Control. CogSci Jacob L. Russin, Maryam Zolfaghar, Seongmin A. Park, Erie Boorman, Randall C. O'Reilly
2022	J	`jnl`	A Neural Network Model of Continual Learning with Cognitive Control. CoRR Jacob L. Russin, Maryam Zolfaghar, Seongmin A. Park, Erie Boorman, Randall C. O'Reilly
2022	J	`jnl`	Correcting the hebbian mistake: Toward a fully error-driven hippocampus. PLoS Comput. Biol. Yicong Zheng, Xiaonan L. Liu, Satoru Nishiyama, Charan Ranganath, Randall C. O'Reilly
2022	—	`conf`	Systematicity Emerges in Transformers when Abstract Grammatical Roles Guide Attention. NAACL-HLT (Student Research Workshop) Ayush K. Chakravarthy, Jacob Labe Russin, Randall C. O'Reilly
2022	B	`conf`	The Geometry of Map-Like Representations under Dynamic Cognitive Control. CogSci Maryam Zolfaghar, Jacob L. Russin, Seongmin A. Park, Erie Boorman, Randall C. O'Reilly
2021	B	`conf`	Complementary Structure-Learning Neural Networks for Relational Reasoning. CogSci Jacob L. Russin, Maryam Zolfaghar, Seongmin A. Park, Erie Boorman, Randall C. O'Reilly
2021	J	`jnl`	Complementary Structure-Learning Neural Networks for Relational Reasoning. CoRR Jacob L. Russin, Maryam Zolfaghar, Seongmin A. Park, Erie Boorman, Randall C. O'Reilly
2021	J	`jnl`	Deep Predictive Learning in Neocortex and Pulvinar. J. Cogn. Neurosci. Randall C. O'Reilly, Jacob L. Russin, Maryam Zolfaghar, John Rohrlich
2020	—	`conf`	Compositional Generalization by Factorizing Alignment and Translation. ACL (student) Jacob L. Russin, Jason Jo, Randall C. O'Reilly, Yoshua Bengio
2020	A*	`conf`	Learning Representations that Support Extrapolation. ICML Taylor W. Webb, Zachary Dulberg, Steven Frankland, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen
2020	J	`jnl`	Learning Representations that Support Extrapolation. CoRR Taylor W. Webb, Zachary Dulberg, Steven M. Frankland, Alexander A. Petrov, Randall C. O'Reilly, Jonathan D. Cohen
2020	B	`conf`	Systematicity in a Recurrent Neural Network by Factorizing Syntax and Semantics. CogSci Jacob L. Russin, Jason Jo, Randall C. O'Reilly, Yoshua Bengio
2019	B	`conf`	A tradeoff between generalization and perceptual capacity in recurrent neural networks. CogSci Taylor W. Webb, Steven Frankland, Simon N. Segert, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen
2019	J	`jnl`	Compositional generalization in a deep seq2seq model by separating syntax and semantics. CoRR Jake Russin, Jason Jo, Randall C. O'Reilly, Yoshua Bengio
2019	B	`conf`	Extracting and Utilizing Abstract, Structured Representations for Analogy. CogSci Steven Frankland, Taylor W. Webb, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen
2019	B	`conf`	Understanding interactions amongst cognitive control, learning and representation. CogSci Sebastian Musslick, Abigail Novick Hoskin, Taylor W. Webb, Steven Frankland, Jonathan D. Cohen, Rebecca L. Jackson, Matthew A. Lambon Ralph, Lang Chen, Timothy T. Rogers, Randall C. O'Reilly, Alexander A. Petrov
2017	J	`jnl`	Anthropomorphic reasoning about neuromorphic AGI safety. J. Exp. Theor. Artif. Intell. David J. Jilk, Seth J. Herd, Stephen J. Read, Randall C. O'Reilly
2015	J	`jnl`	How the credit assignment problems in motor control could be solved after the cerebellum predicts increases in error. Frontiers Comput. Neurosci. Sergio Oscar Verduzco-Flores, Randall C. O'Reilly
2014	J	`jnl`	Classification aided analysis of oscillatory signatures in controlled retrieval. NeuroImage Nicholas Ketz, Randall C. O'Reilly, Tim Curran
2014	J	`jnl`	Complementary Learning Systems. Cogn. Sci. Randall C. O'Reilly, Rajan Bhattacharyya, Michael D. Howard, Nicholas Ketz
2013	J	`jnl`	Assembling Old Tricks for New Tasks: A Neural Model of Instructional Learning and Control. J. Cogn. Neurosci. Tsung-Ren Huang, Thomas E. Hazy, Seth A. Herd, Randall C. O'Reilly
2013	—	`conf`	Integrating Systems and Theories in the SAL Hybrid Architecture. AAAI Fall Symposia Andrew Michael Szabados, Seth A. Herd, Yury Vinokurov, Christian Lebiere, Randall C. O'Reilly
2013	J	`jnl`	Strategic Cognitive Sequencing: A Computational Cognitive Neuroscience Approach. Comput. Intell. Neurosci. Seth A. Herd, Kai A. Krueger, Trenton E. Kriete, Tsung-Ren Huang, Thomas E. Hazy, Randall C. O'Reilly
2013	J	`jnl`	Theta Coordinated Error-Driven Learning in the Hippocampus. PLoS Comput. Biol. Nicholas Ketz, Srinimisha G. Morkonda, Randall C. O'Reilly
2012	J	`jnl`	Expectancy, Ambiguity, and Behavioral Flexibility: Separable and Complementary Roles of the Orbital Frontal Cortex and Amygdala in Processing Reward Expectancies. J. Cogn. Neurosci. Wolfgang M. Pauli, Thomas E. Hazy, Randall C. O'Reilly
2012	J	`jnl`	The Limits of Feedforward Vision: Recurrent Processing Promotes Robust Object Recognition when Objects Are Degraded. J. Cogn. Neurosci. Dean Wyatte, Tim Curran, Randall C. O'Reilly
2012	—	`conf`	Unsurpervised Learning in Hybrid Cognitive Architectures. NeSy@AAAI Yury Vinokurov, Christian Lebiere, Dean Wyatte, Seth A. Herd, Randall C. O'Reilly
2011	—	`conf`	A Metacognitive Classifier Using a Hybrid ACT-R/Leabra Architecture. Lifelong Learning Yury Vinokurov, Christian Lebiere, Seth A. Herd, Randall C. O'Reilly
2011	—	`conf`	Adaptive Recall in Hippocampus. BICA Michael D. Howard, Rajan Bhattacharyya, Randall C. O'Reilly, Giorgio A. Ascoli, Jean-Marc Fellous
2011	—	`conf`	Human-artificial-intelligence hybrid learning systems. BICA Seth A. Herd, Geoffrey Urland, Brian Mingus, Randall C. O'Reilly
2011	—	`conf`	Learning categories with invariances in a neural network model of prefrontal cortex. BICA Suhas E. Chelian, Rajan Bhattacharyya, Randall C. O'Reilly
2010	—	`conf`	Dopamine and self-directed learning. BICA Seth A. Herd, Brian Mingus, Randall C. O'Reilly
2010	—	`conf`	The Role of the Basal Ganglia - Anterior Prefrontal Circuit as a Biological Instruction Interpreter. BICA Andrea Stocco, Christian Lebiere, Randall C. O'Reilly, John R. Anderson
2009	J	`jnl`	eCortex and the Computational Cognitive Neuroscience Lab at CU Boulder. IEEE Intell. Informatics Bull. Randall C. O'Reilly, David J. Jilk
2008	J	`jnl`	Beyond red states and blue states in cognitive science. J. Exp. Theor. Artif. Intell. David J. Jilk, Christian Lebiere, Randall C. O'Reilly, John R. Anderson
2008	J	`jnl`	SAL: an explicitly pluralistic cognitive architecture. J. Exp. Theor. Artif. Intell. David J. Jilk, Christian Lebiere, Randall C. O'Reilly, John R. Anderson
2008	—	`conf`	The SAL Integrated Cognitive Architecture. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures Christian Lebiere, Randall C. O'Reilly, David J. Jilk, Niels Taatgen, John R. Anderson
2006	J	`jnl`	Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia. Neural Comput. Randall C. O'Reilly, Michael Joshua Frank
2006	J	`jnl`	Neural Mechanisms of Cognitive Control: An Integrative Model of Stroop Task Performance and fMRI Data. J. Cogn. Neurosci. Seth A. Herd, Marie T. Banich, Randall C. O'Reilly
2006	—	`ch.`	Neural mechanisms of binding in the hippocampus and neocortex: insights from computational models. Handbook of Binding and Memory Daniel M. Cer, Randall C. O'Reilly
2003	J	`jnl`	Persistence and accommodation in short-term priming and other perceptual paradigms: temporal segregation through synaptic depression. Cogn. Sci. David E. Huber, Randall C. O'Reilly
2002	J	`jnl`	Learning representations in a gated prefrontal cortex model of dynamic task switching. Cogn. Sci. Nicolas P. Rougier, Randall C. O'Reilly
2001	—	`conf`	A Model of the Phonological Loop: Generalization and Binding. NIPS Randall C. O'Reilly, R. Soto
2001	—	`conf`	Generalizable Relational Binding from Coarse-coded Distributed Representations. NIPS Randall C. O'Reilly, Richard S. Busby
2001	J	`jnl`	Generalization in Interactive Networks: The Benefits of Inhibitory Competition and Hebbian Learning. Neural Comput. Randall C. O'Reilly
1997	—	`conf`	A Hippocampal Model of Recognition Memory. NIPS Randall C. O'Reilly, Kenneth A. Norman, James L. McClelland
1996	J	`jnl`	Biologically Plausible Error-Driven Learning Using Local Activation Differences: The Generalized Recirculation Algorithm. Neural Comput. Randall C. O'Reilly
1994	J	`jnl`	Object Recognition and Sensitive Periods: A Computational Analysis of Visual Imprinting. Neural Comput. Randall C. O'Reilly, Mark H. Johnson

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