Randall C. O'Reilly

51 papers A* 1B 7Journal 28Unranked 14
YearRankTypeTitle / 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