Randall C. O'Reilly

According to our database, Randall C. O'Reilly authored at least 47 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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, Charan Ranganath, Randall C. O'Reilly

CoRR, 2024

2023

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

CoRR, 2023

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., October, 2022

Systematicity Emerges in Transformers when Abstract Grammatical Roles Guide Attention.

Ayush K. Chakravarthy, Jacob Labe Russin, Randall C. O'Reilly

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 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

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

A Neural Network Model of Continual Learning with Cognitive Control.

Jacob L. Russin, Maryam Zolfaghar, Seongmin A. Park, Erie Boorman, Randall C. O'Reilly

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Deep Predictive Learning in Neocortex and Pulvinar.

Randall C. O'Reilly, Jacob L. Russin, Maryam Zolfaghar, John Rohrlich

J. Cogn. Neurosci., 2021

Complementary Structure-Learning Neural Networks for Relational Reasoning.

Jacob L. Russin, Maryam Zolfaghar, Seongmin A. Park, Erie Boorman, Randall C. O'Reilly

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

Learning Representations that Support Extrapolation.

Taylor W. Webb, Zachary Dulberg, Steven Frankland, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen

Proceedings of the 37th International Conference on Machine Learning, 2020

Systematicity in a Recurrent Neural Network by Factorizing Syntax and Semantics.

Jacob L. Russin, Jason Jo, Randall C. O'Reilly, Yoshua Bengio

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Compositional Generalization by Factorizing Alignment and Translation.

Jacob L. Russin, Jason Jo, Randall C. O'Reilly, Yoshua Bengio

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020

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

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

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Understanding interactions amongst cognitive control, learning and representation.

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

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Extracting and Utilizing Abstract, Structured Representations for Analogy.

Steven Frankland, Taylor W. Webb, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2017

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

2015

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

2014

Classification aided analysis of oscillatory signatures in controlled retrieval.

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

NeuroImage, 2014

Complementary Learning Systems.

Randall C. O'Reilly, Rajan Bhattacharyya, Michael D. Howard, Nicholas Ketz

Cogn. Sci., 2014

2013

Theta Coordinated Error-Driven Learning in the Hippocampus.

Nicholas Ketz, Srinimisha G. Morkonda, Randall C. O'Reilly

PLoS Comput. Biol., 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

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

Integrating Systems and Theories in the SAL Hybrid Architecture.

Andrew Michael Szabados, Seth A. Herd, Yury Vinokurov, Christian Lebiere, Randall C. O'Reilly

Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013

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

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

Unsurpervised Learning in Hybrid Cognitive Architectures.

Yury Vinokurov, Christian Lebiere, Dean Wyatte, Seth A. Herd, Randall C. O'Reilly

Proceedings of the Neural-Symbolic Learning and Reasoning (NeSy 2012), 2012

2011

Adaptive Recall in Hippocampus.

Michael D. Howard, Rajan Bhattacharyya, Randall C. O'Reilly, Giorgio A. Ascoli, Jean-Marc Fellous

Proceedings of the Biologically Inspired Cognitive Architectures 2011, 2011

Human-artificial-intelligence hybrid learning systems.

Seth A. Herd, Geoffrey Urland, Brian Mingus, Randall C. O'Reilly

Proceedings of the Biologically Inspired Cognitive Architectures 2011, 2011

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

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

Proceedings of the Biologically Inspired Cognitive Architectures 2011, 2011

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

Yury Vinokurov, Christian Lebiere, Seth A. Herd, Randall C. O'Reilly

Proceedings of the Lifelong Learning, 2011

2010

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

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

Proceedings of the Biologically Inspired Cognitive Architectures 2010, 2010

Dopamine and self-directed learning.

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

Proceedings of the Biologically Inspired Cognitive Architectures 2010, 2010

2009

eCortex and the Computational Cognitive Neuroscience Lab at CU Boulder.

Randall C. O'Reilly, David J. Jilk

IEEE Intell. Informatics Bull., 2009

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

SAL: an explicitly pluralistic cognitive architecture.

David J. Jilk, Christian Lebiere, Randall C. O'Reilly, John R. Anderson

J. Exp. Theor. Artif. Intell., 2008

The SAL Integrated Cognitive Architecture.

Christian Lebiere, Randall C. O'Reilly, David J. Jilk, Niels Taatgen, John R. Anderson

Proceedings of the Biologically Inspired Cognitive Architectures, 2008

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

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

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

Daniel M. Cer, Randall C. O'Reilly

Proceedings of the Handbook of Binding and Memory, 2006

2003

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

2002

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

Nicolas P. Rougier, Randall C. O'Reilly

Cogn. Sci., 2002

2001

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

Randall C. O'Reilly

Neural Comput., 2001

A Model of the Phonological Loop: Generalization and Binding.

Randall C. O'Reilly, R. Soto

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Generalizable Relational Binding from Coarse-coded Distributed Representations.

Randall C. O'Reilly, Richard S. Busby

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

1997

A Hippocampal Model of Recognition Memory.

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

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

1996

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

Randall C. O'Reilly

Neural Comput., 1996

1994

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

Randall C. O'Reilly, Mark H. Johnson

Neural Comput., 1994