Randall C. O'Reilly

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 19

Top Topics

Learning Systems

Meaningful Learning

Integrated Circuit

Top Venues

Publications

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
Towards Reverse-Engineering the Brain: Brain-Derived Neuromorphic Computing Approach with Photonic, Electronic, and Ionic Dynamicity in 3D integrated circuits. CoRR (2024)
Taylor W. Webb, Steven M. Frankland, Awni Altabaa, Kamesh Krishnamurthy, Declan Campbell, Jacob L. Russin, Randall C. O'Reilly, John Lafferty, Jonathan D. Cohen
The Relational Bottleneck as an Inductive Bias for Efficient Abstraction. CoRR (2023)
Jacob L. Russin, Maryam Zolfaghar, Seongmin A. Park, Erie Boorman, Randall C. O'Reilly
A Neural Network Model of Continual Learning with Cognitive Control. CoRR (2022)
Yicong Zheng, Xiaonan L. Liu, Satoru Nishiyama, Charan Ranganath, Randall C. O'Reilly
Correcting the hebbian mistake: Toward a fully error-driven hippocampus. PLoS Comput. Biol. 18 (10) (2022)
Jacob L. Russin, Maryam Zolfaghar, Seongmin A. Park, Erie Boorman, Randall C. O'Reilly
A Neural Network Model of Continual Learning with Cognitive Control. CogSci (2022)
Ayush K. Chakravarthy, Jacob Labe Russin, Randall C. O'Reilly
Systematicity Emerges in Transformers when Abstract Grammatical Roles Guide Attention. NAACL-HLT (Student Research Workshop) (2022)
Maryam Zolfaghar, Jacob L. Russin, Seongmin A. Park, Erie Boorman, Randall C. O'Reilly
The Geometry of Map-Like Representations under Dynamic Cognitive Control. CogSci (2022)
Jacob L. Russin, Maryam Zolfaghar, Seongmin A. Park, Erie Boorman, Randall C. O'Reilly
Complementary Structure-Learning Neural Networks for Relational Reasoning. CogSci (2021)
Jacob L. Russin, Maryam Zolfaghar, Seongmin A. Park, Erie Boorman, Randall C. O'Reilly
Complementary Structure-Learning Neural Networks for Relational Reasoning. CoRR (2021)
Randall C. O'Reilly, Jacob L. Russin, Maryam Zolfaghar, John Rohrlich
Deep Predictive Learning in Neocortex and Pulvinar. J. Cogn. Neurosci. 33 (6) (2021)
Jacob L. Russin, Jason Jo, Randall C. O'Reilly, Yoshua Bengio
Systematicity in a Recurrent Neural Network by Factorizing Syntax and Semantics. CogSci (2020)
Taylor W. Webb, Zachary Dulberg, Steven M. Frankland, Alexander A. Petrov, Randall C. O'Reilly, Jonathan D. Cohen
Learning Representations that Support Extrapolation. CoRR (2020)
Jacob L. Russin, Jason Jo, Randall C. O'Reilly, Yoshua Bengio
Compositional Generalization by Factorizing Alignment and Translation. ACL (student) (2020)
Taylor W. Webb, Zachary Dulberg, Steven Frankland, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen
Learning Representations that Support Extrapolation. ICML (2020)
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
Understanding interactions amongst cognitive control, learning and representation. CogSci (2019)
Steven Frankland, Taylor W. Webb, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen
Extracting and Utilizing Abstract, Structured Representations for Analogy. CogSci (2019)
Taylor W. Webb, Steven Frankland, Simon Segert, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen
A tradeoff between generalization and perceptual capacity in recurrent neural networks. CogSci (2019)
Jake Russin, Jason Jo, Randall C. O'Reilly, Yoshua Bengio
Compositional generalization in a deep seq2seq model by separating syntax and semantics. CoRR (2019)
David J. Jilk, Seth J. Herd, Stephen J. Read, Randall C. O'Reilly
Anthropomorphic reasoning about neuromorphic AGI safety. J. Exp. Theor. Artif. Intell. 29 (6) (2017)
Sergio Oscar Verduzco-Flores, Randall C. O'Reilly
How the credit assignment problems in motor control could be solved after the cerebellum predicts increases in error. Frontiers Comput. Neurosci. 9 (2015)
Randall C. O'Reilly, Rajan Bhattacharyya, Michael D. Howard, Nicholas Ketz
Complementary Learning Systems. Cogn. Sci. 38 (6) (2014)
Nicholas Ketz, Randall C. O'Reilly, Tim Curran
Classification aided analysis of oscillatory signatures in controlled retrieval. NeuroImage 85 (2014)
Nicholas Ketz, Srinimisha G. Morkonda, Randall C. O'Reilly
Theta Coordinated Error-Driven Learning in the Hippocampus. PLoS Comput. Biol. 9 (6) (2013)
Tsung-Ren Huang, Thomas E. Hazy, Seth A. Herd, Randall C. O'Reilly
Assembling Old Tricks for New Tasks: A Neural Model of Instructional Learning and Control. J. Cogn. Neurosci. 25 (6) (2013)
Seth A. Herd, Kai A. Krueger, Trenton E. Kriete, Tsung-Ren Huang, Thomas E. Hazy, Randall C. O'Reilly
Strategic Cognitive Sequencing: A Computational Cognitive Neuroscience Approach. Comput. Intell. Neurosci. 2013 (2013)
Andrew Michael Szabados, Seth A. Herd, Yury Vinokurov, Christian Lebiere, Randall C. O'Reilly
Integrating Systems and Theories in the SAL Hybrid Architecture. AAAI Fall Symposia (2013)
Yury Vinokurov, Christian Lebiere, Dean Wyatte, Seth A. Herd, Randall C. O'Reilly
Unsurpervised Learning in Hybrid Cognitive Architectures. NeSy@AAAI (2012)
Wolfgang M. Pauli, Thomas E. Hazy, Randall C. O'Reilly
Expectancy, Ambiguity, and Behavioral Flexibility: Separable and Complementary Roles of the Orbital Frontal Cortex and Amygdala in Processing Reward Expectancies. J. Cogn. Neurosci. 24 (2) (2012)
Dean Wyatte, Tim Curran, Randall C. O'Reilly
The Limits of Feedforward Vision: Recurrent Processing Promotes Robust Object Recognition when Objects Are Degraded. J. Cogn. Neurosci. 24 (11) (2012)
Seth A. Herd, Geoffrey Urland, Brian Mingus, Randall C. O'Reilly
Human-artificial-intelligence hybrid learning systems. BICA (2011)
Michael D. Howard, Rajan Bhattacharyya, Randall C. O'Reilly, Giorgio A. Ascoli, Jean-Marc Fellous
Adaptive Recall in Hippocampus. BICA (2011)
Yury Vinokurov, Christian Lebiere, Seth A. Herd, Randall C. O'Reilly
A Metacognitive Classifier Using a Hybrid ACT-R/Leabra Architecture. Lifelong Learning (2011)
Suhas E. Chelian, Rajan Bhattacharyya, Randall C. O'Reilly
Learning categories with invariances in a neural network model of prefrontal cortex. BICA (2011)
Seth A. Herd, Brian Mingus, Randall C. O'Reilly
Dopamine and self-directed learning. BICA (2010)
Andrea Stocco, Christian Lebiere, Randall C. O'Reilly, John R. Anderson
The Role of the Basal Ganglia - Anterior Prefrontal Circuit as a Biological Instruction Interpreter. BICA (2010)
Randall C. O'Reilly, David J. Jilk
eCortex and the Computational Cognitive Neuroscience Lab at CU Boulder. IEEE Intell. Informatics Bull. 10 (1) (2009)
Christian Lebiere, Randall C. O'Reilly, David J. Jilk, Niels Taatgen, John R. Anderson
The SAL Integrated Cognitive Architecture. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2008)
David J. Jilk, Christian Lebiere, Randall C. O'Reilly, John R. Anderson
Beyond red states and blue states in cognitive science. J. Exp. Theor. Artif. Intell. 20 (3) (2008)
David J. Jilk, Christian Lebiere, Randall C. O'Reilly, John R. Anderson
SAL: an explicitly pluralistic cognitive architecture. J. Exp. Theor. Artif. Intell. 20 (3) (2008)
Randall C. O'Reilly, Michael Joshua Frank
Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia. Neural Comput. 18 (2) (2006)
Seth A. Herd, Marie T. Banich, Randall C. O'Reilly
Neural Mechanisms of Cognitive Control: An Integrative Model of Stroop Task Performance and fMRI Data. J. Cogn. Neurosci. 18 (1) (2006)
David E. Huber, Randall C. O'Reilly
Persistence and accommodation in short-term priming and other perceptual paradigms: temporal segregation through synaptic depression. Cogn. Sci. 27 (3) (2003)
Nicolas P. Rougier, Randall C. O'Reilly
Learning representations in a gated prefrontal cortex model of dynamic task switching. Cogn. Sci. 26 (4) (2002)
Randall C. O'Reilly, Richard S. Busby
Generalizable Relational Binding from Coarse-coded Distributed Representations. NIPS (2001)
Randall C. O'Reilly
Generalization in Interactive Networks: The Benefits of Inhibitory Competition and Hebbian Learning. Neural Comput. 13 (6) (2001)
Randall C. O'Reilly, R. Soto
A Model of the Phonological Loop: Generalization and Binding. NIPS (2001)
Randall C. O'Reilly, Kenneth A. Norman, James L. McClelland
A Hippocampal Model of Recognition Memory. NIPS (1997)
Randall C. O'Reilly
Biologically Plausible Error-Driven Learning Using Local Activation Differences: The Generalized Recirculation Algorithm. Neural Comput. 8 (5) (1996)
Randall C. O'Reilly, Mark H. Johnson
Object Recognition and Sensitive Periods: A Computational Analysis of Visual Imprinting. Neural Comput. 6 (3) (1994)