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Randall C. O'Reilly
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2020 – today
- 2024
- [i6]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 abs/2403.19724 (2024) - 2023
- [i5]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 abs/2309.06629 (2023) - 2022
- [j21]Yicong Zheng
Correcting the hebbian mistake: Toward a fully error-driven hippocampus. PLoS Comput. Biol. 18(10): 1010589 (2022) - [c22]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 - [c21]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 - [c20]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: 1-8 - [i4]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 abs/2202.04773 (2022) - 2021
- [j20]Randall C. O'Reilly
Deep Predictive Learning in Neocortex and Pulvinar. J. Cogn. Neurosci. 33(6): 1158-1196 (2021) - [c19]Jacob L. Russin, Maryam Zolfaghar, Seongmin A. Park, Erie Boorman, Randall C. O'Reilly:
Complementary Structure-Learning Neural Networks for Relational Reasoning. CogSci 2021 - [i3]Jacob L. Russin, Maryam Zolfaghar, Seongmin A. Park, Erie Boorman, Randall C. O'Reilly:
Complementary Structure-Learning Neural Networks for Relational Reasoning. CoRR abs/2105.08944 (2021) - 2020
- [c18]Jacob L. Russin, Jason Jo, Randall C. O'Reilly, Yoshua Bengio:
Compositional Generalization by Factorizing Alignment and Translation. ACL (student) 2020: 313-327 - [c17]Jacob L. Russin, Jason Jo, Randall C. O'Reilly, Yoshua Bengio:
Systematicity in a Recurrent Neural Network by Factorizing Syntax and Semantics. CogSci 2020 - [c16]Taylor W. Webb, Zachary Dulberg, Steven Frankland, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen:
Learning Representations that Support Extrapolation. ICML 2020: 10136-10146 - [i2]Taylor W. Webb, Zachary Dulberg, Steven M. Frankland, Alexander A. Petrov, Randall C. O'Reilly, Jonathan D. Cohen:
Learning Representations that Support Extrapolation. CoRR abs/2007.05059 (2020)
2010 – 2019
- 2019
- [c15]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: 35-36 - [c14]Steven Frankland, Taylor W. Webb, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen:
Extracting and Utilizing Abstract, Structured Representations for Analogy. CogSci 2019: 1766-1772 - [c13]Taylor W. Webb, Steven Frankland, Simon N. Segert, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen:
A tradeoff between generalization and perceptual capacity in recurrent neural networks. CogSci 2019: 3603 - [i1]Jake Russin
Compositional generalization in a deep seq2seq model by separating syntax and semantics. CoRR abs/1904.09708 (2019) - 2017
- [j19]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): 1337-1351 (2017) - 2015
- [j18]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: 39 (2015) - 2014
- [j17]Randall C. O'Reilly, Rajan Bhattacharyya, Michael D. Howard, Nicholas Ketz:
Complementary Learning Systems. Cogn. Sci. 38(6): 1229-1248 (2014) - [j16]Nicholas Ketz, Randall C. O'Reilly, Tim Curran:
Classification aided analysis of oscillatory signatures in controlled retrieval. NeuroImage 85: 749-760 (2014) - 2013
- [j15]Seth A. Herd, Kai A. Krueger, Trenton E. Kriete, Tsung-Ren Huang
Strategic Cognitive Sequencing: A Computational Cognitive Neuroscience Approach. Comput. Intell. Neurosci. 2013: 149329:1-149329:18 (2013) - [j14]Tsung-Ren Huang
Assembling Old Tricks for New Tasks: A Neural Model of Instructional Learning and Control. J. Cogn. Neurosci. 25(6): 843-851 (2013) - [j13]Nicholas Ketz, Srinimisha G. Morkonda, Randall C. O'Reilly
Theta Coordinated Error-Driven Learning in the Hippocampus. PLoS Comput. Biol. 9(6) (2013) - [c12]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 - 2012
- [j12]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): 351-366 (2012) - [j11]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): 2248-2261 (2012) - [c11]Yury Vinokurov, Christian Lebiere, Dean Wyatte, Seth A. Herd, Randall C. O'Reilly:
Unsurpervised Learning in Hybrid Cognitive Architectures. NeSy@AAAI 2012 - 2011
- [c10]Yury Vinokurov, Christian Lebiere, Seth A. Herd, Randall C. O'Reilly:
A Metacognitive Classifier Using a Hybrid ACT-R/Leabra Architecture. Lifelong Learning 2011 - [c9]Suhas E. Chelian, Rajan Bhattacharyya, Randall C. O'Reilly:
Learning categories with invariances in a neural network model of prefrontal cortex. BICA 2011: 50-55 - [c8]Seth A. Herd, Geoffrey Urland, Brian Mingus, Randall C. O'Reilly:
Human-artificial-intelligence hybrid learning systems. BICA 2011: 132-137 - [c7]Michael D. Howard, Rajan Bhattacharyya, Randall C. O'Reilly, Giorgio A. Ascoli, Jean-Marc Fellous:
Adaptive Recall in Hippocampus. BICA 2011: 151-157 - 2010
- [c6]Seth A. Herd, Brian Mingus, Randall C. O'Reilly:
Dopamine and self-directed learning. BICA 2010: 58-63 - [c5]Andrea Stocco
The Role of the Basal Ganglia - Anterior Prefrontal Circuit as a Biological Instruction Interpreter. BICA 2010: 153-162
2000 – 2009
- 2009
- [j10]Randall C. O'Reilly, David J. Jilk:
eCortex and the Computational Cognitive Neuroscience Lab at CU Boulder. IEEE Intell. Informatics Bull. 10(1): 1-3 (2009) - 2008
- [j9]David J. Jilk
SAL: an explicitly pluralistic cognitive architecture. J. Exp. Theor. Artif. Intell. 20(3): 197-218 (2008) - [j8]David J. Jilk, Christian Lebiere, Randall C. O'Reilly
Beyond red states and blue states in cognitive science. J. Exp. Theor. Artif. Intell. 20(3): 265-268 (2008) - [c4]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: 98-104 - 2006
- [j7]Seth A. Herd, Marie T. Banich
Neural Mechanisms of Cognitive Control: An Integrative Model of Stroop Task Performance and fMRI Data. J. Cogn. Neurosci. 18(1): 22-32 (2006) - [j6]Randall C. O'Reilly
Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia. Neural Comput. 18(2): 283-328 (2006) - [p1]Daniel M. Cer, Randall C. O'Reilly:
Neural mechanisms of binding in the hippocampus and neocortex: insights from computational models. Handbook of Binding and Memory 2006: 193-220 - 2003
- [j5]David E. Huber
Persistence and accommodation in short-term priming and other perceptual paradigms: temporal segregation through synaptic depression. Cogn. Sci. 27(3): 403-430 (2003) - 2002
- [j4]Nicolas P. Rougier, Randall C. O'Reilly:
Learning representations in a gated prefrontal cortex model of dynamic task switching. Cogn. Sci. 26(4): 503-520 (2002) - 2001
- [j3]Randall C. O'Reilly
Generalization in Interactive Networks: The Benefits of Inhibitory Competition and Hebbian Learning. Neural Comput. 13(6): 1199-1241 (2001) - [c3]Randall C. O'Reilly, Richard S. Busby:
Generalizable Relational Binding from Coarse-coded Distributed Representations. NIPS 2001: 75-82 - [c2]Randall C. O'Reilly, R. Soto:
A Model of the Phonological Loop: Generalization and Binding. NIPS 2001: 83-90
1990 – 1999
- 1997
- [c1]Randall C. O'Reilly, Kenneth A. Norman, James L. McClelland:
A Hippocampal Model of Recognition Memory. NIPS 1997: 73-79 - 1996
- [j2]Randall C. O'Reilly
Biologically Plausible Error-Driven Learning Using Local Activation Differences: The Generalized Recirculation Algorithm. Neural Comput. 8(5): 895-938 (1996) - 1994
- [j1]Randall C. O'Reilly
Object Recognition and Sensitive Periods: A Computational Analysis of Visual Imprinting. Neural Comput. 6(3): 357-389 (1994)
Coauthor Index
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