Curriculum Vitae (CV’s)

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Recommended Introductory Papers

These papers are good choices for learning about research in each of the major categories of research conducted in the lab.

Predictive Learning in Thalamocortical Loops

  • O’Reilly, R. C., Russin, J. L., Zolfaghar, M., & Rohrlich, J. (2021). Deep predictive learning in neocortex and pulvinar. Journal of Cognitive Neuroscience, 33(6), 1158–1196. PDF | URL

Leabra Integrated Biologically-Based Cognitive Architecture

  • O’Reilly, R.C., Hazy, T.E. & Herd, S.A. (2016). The Leabra Cognitive Architecture: How to Play 20 Principles with Nature and Win!. S. Chipman (Ed) Oxford Handbook of Cognitive Science, Oxford: Oxford University Press. PDF | URL

  • O’Reilly, R.C., Munakata, Y., Frank, M. J., Hazy, T. E., and Contributors (2020). Computational Cognitive Neuroscience. eBook, 4st Edition. URL

Working Memory and Cognitive Control in the Prefrontal Cortex and Basal Ganglia

  • O’Reilly, R.C. (2020). Unravelling the Mysteries of Motivation. Trends in Cognitive Science, 24, 425-434. doi.org/10.1016/j.tics.2020.03.001 | PDF | URL

  • OReilly, R.C. (2006). Biologically Based Computational Models of High-Level Cognition. Science, 314, 91-94. PDF | URL

Visual Perception and Object Recognition

  • O’Reilly, R.C., Wyatte, D., Herd, S., Mingus, B. & Jilk, D.J. (2013). Recurrent Processing during Object Recognition. Frontiers in Psychology, 4, 124. PDF | URL

  • O’Reilly, R.C., Wyatte, D., and Rohrlich, J. (2017). Deep Predictive Learning: A Comprehensive Model of Three Visual Streams. https://arxiv.org/abs/1709.04654 | PDF | URL

Learning and Memory in the Hippocampus and Neocortex

  • O’Reilly, R.C., Bhattacharyya, R., Howard, M.D. & Ketz, N. (2014). Complementary Learning Systems. Cognitive Science, 38,1229-1248. PDF | URL

  • Norman, K. A. & O’Reilly, R.C. (2003). Modeling Hippocampal and Neocortical Contributions to Recognition Memory: A Complementary Learning Systems Approach. Psychological Review, 110, 611-646. PDF | URL

Papers By Date

2021

  • O’Reilly, R. C., Ranganath, C., & Russin, J. L. (2021 / in press). The Structure of Systematicity in the Brain. Current Directions in Psychological Science, ArXiv:2108.03387 q-Bio. PDF | URL

  • O’Reilly, R. C., Russin, J. L., Zolfaghar, M., & Rohrlich, J. (2021). Deep predictive learning in neocortex and pulvinar. Journal of Cognitive Neuroscience, 33(6), 1158–1196. PDF | URL

  • Smucny, J., Hanks, T., Lesh, T., O’Reilly, R., & Carter, C. (2021). Relationships Between Reward-Based Decision Making and Activation in a Frontal-Striatal Network in Schizophrenia vs. Bipolar Disorder. Biological Psychiatry, 89(9), S176–S177. PDF | URL

  • Mollick, J. A., Chang, L. J., Krishnan, A., Hazy, T. E., Krueger, K. A., Frank, G. K. W., Wager, T. D., & O’Reilly, R. C. (2021). The Neural Correlates of Cued Reward Omission. Frontiers in Human Neuroscience, 15, 615313. PDF | URL

  • Herd, S., Krueger, K., Nair, A., Mollick, J., & O’Reilly, R.C. (2021). Neural Mechanisms of Human Decision-Making. Cognitive, Affective, & Behavioral Neuroscience, 21(1), 35–57. PDF | URL

  • Russin, J. L., Zolfaghar, M., Park, S. A., Boorman, E., & O’Reilly, R. C. (2021). Complementary Structure-Learning Neural Networks for Relational Reasoning. Proceedings for the 43nd Annual Meeting of the Cognitive Science Society, 7. PDF | URL

2020

  • O’Reilly, R.C., Russin, J. L., Zolfaghar, M., and Rohrlich, J. (2020). Deep Predictive Learning in Neocortex and Pulvinar. https://arxiv.org/abs/2006.14800 PDF | URL

  • Mollick, J., Hazy, T.E., Krueger, K.A., Nair, A., Mackie, P. Herd, S.A., & O’Reilly, R.C. (2020). A Systems-Neuroscience Model of Phasic Dopamine. Psychological Review, 127(6), 972-1021. | PDF | URL

  • O’Reilly, R.C. (2020). Unravelling the Mysteries of Motivation. Trends in Cognitive Science, 24, 425-434. doi.org/10.1016/j.tics.2020.03.001 | PDF | URL

  • O’Reilly, R. C., Nair, A., Russin, J. L., & Herd, S. A. (2020). How Sequential Interactive Processing Within Frontostriatal Loops Supports a Continuum of Habitual to Controlled Processing. Frontiers in Psychology, 11. doi.org/10.3389/fpsyg.2020.003 PDF | URL

  • Devillez, H., Guyader, N., Curran, T., & O’Reilly, R. C. (2020). The bimodality of saccade duration during the exploration of visual scenes. Visual Cognition, 28(9), 484–512. PDF | URL

  • Dean, D. J., Bernard, J. A., Damme, K. S. F., O’Reilly, R.C., Orr, J. M., & Mittal, V. A. (2020). Longitudinal Assessment and Functional Neuroimaging of Movement Variability Reveal Novel Insights Into Motor Dysfunction in Clinical High Risk for Psychosis. Schizophrenia Bulletin, 46(6), 1567–1576. PDF | URL

  • Rohrlich, J., Huang, T.R., Hazy, T.E., O’Reilly, R.C. (2020). Object Recognition’s Garden Path: Low Spatial Frequencies. PDF | URL

  • Webb, T., Dulberg, Z., Frankland, S., Petrov, A., O’Reilly, R.C., & Cohen, J. (2020). Learning representations that support extrapolation. International Conference on Machine Learning, 10136–10146. PDF | URL

  • Russin, J., Jo, J., O’Reilly, R.C., & Bengio, Y. (2020). Compositional Generalization by Factorizing Alignment and Translation. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 313–327. PDF | URL

  • Russin, J. L., Jo, J., O’Reilly, R. C., & Bengio, Y. (2020). Systematicity in a Recurrent Neural Network by Factorizing Syntax and Semantics. Proceedings for the 42nd Annual Meeting of the Cognitive Science Society, 7. PDF | URL

2019

  • Russin, J. L., Jo, J., O’Reilly, R. C. & Bengio, Y. (2019). Compositional generalization in a deep seq2seq model by separating syntax and semantics. https://arxiv.org/abs/1904.09708 | PDF | URL

  • O’Reilly, R. C., Russin, J., & Herd, S. A. (2019). Computational models of motivated frontal function. Handbook of clinical neurology, Vol. 163, 317-332, M. D’Esposito & J. Grafman (Eds). Elsevier. PDF | URL

2018

  • Herd, S., Read, S. J., O’Reilly, R.C., & Jilk, D. J. (2018). Goal Changes in Intelligent Agents. Artificial Intelligence Safety and Security, 217-224, R. V. Yampolskiy (Ed). CRC Press. PDF | URL

2017

  • O’Reilly, R.C., Wyatte, D., and Rohrlich, J. (2017). Deep Predictive Learning: A Comprehensive Model of Three Visual Streams. https://arxiv.org/abs/1709.04654 | PDF | URL

  • Jilk, D. J., Herd, S. J., Read, S. J., & O’Reilly, R. C. (2017). Anthropomorphic reasoning about neuromorphic AGI safety. Journal of Experimental & Theoretical Artificial Intelligence, 0(0), 1–15. PDF | URL

2016

  • O’Reilly, R.C., Hazy, T.E. & Herd, S.A. (2016). The Leabra Cognitive Architecture: How to Play 20 Principles with Nature and Win!. S. Chipman (Ed) Oxford Handbook of Cognitive Science, Oxford: Oxford University Press. PDF | URL

  • Pauli, W. M., O’Reilly, R. C., Yarkoni, T. & Wager, T. D. (2016). Regional specialization within the human striatum for diverse psychological functions. Proceedings of the National Academy of Sciences (USA), 113(7), 1907-1912. doi:10.1073/pnas.1507610113. PDF | URL

  • Frank, G. K. W., Collier, S., Shott, M. E., & O’Reilly, R. C. (2016). Prediction error and somatosensory insula activation in women recovered from anorexia nervosa. Journal of Psychiatry and Neuroscience, 41(5), 304-311. doi:10.1503/jpn.150103. PDF

2015

  • Ketz, N., Jensen, O., O’Reilly, R.C. (2015). Thalamic pathways underlying prefrontal cortex-medial temporal lobe oscillatory interactions. Trends in Neurosciences. PDF | URL

  • Verduzco-Flores, S. O. and O’Reilly, R. C. (2015). How the credit assignment problems in motor control could be solved after the cerebellum predicts increases in error. Frontiers in Computational Neuroscience, 9, 39. PDF | URL

  • Sun, Y., O’Reilly, R.C., Bhattacharyya, R., Smith, J.W., Liu, X., and Wang, H. (2015). Latent structure in random sequences drives neural learning toward a rational bias. Proceedings of the National Academy of Sciences (USA). PDF | URL

2014

  • O’Reilly, R.C., Wyatte, D., and Rohrlich, J. (2014). Learning Through Time in the Thalamocortical Loops. https://arxiv.org/abs/1407.3432 | PDF | URL

  • O’Reilly, R.C., Bhattacharyya, R., Howard, M.D. & Ketz, N. (2014). Complementary Learning Systems. Cognitive Science, 38, 1229-1248. PDF | URL

  • Wyatte, D., Jilk, D.J., & O’Reilly, R.C. (2014). Early recurrent feedback facilitates visual object recognition under challenging conditions. Frontiers in Psychology, 5, 674. PDF | URL

  • O’Reilly, R. C., Petrov, A. A., Cohen, J. D., Lebiere, C. J., Herd, S. A., & Kriete, T. (2014). How Limited Systematicity Emerges: A Computational Cognitive Neuroscience Approach. Calvo, P. and Symons, J., Eds. The architecture of cognition: Rethinking Fodor and Pylyshyn¹s Systematicity Challenge. MIT Press. PDF | URL

  • Ziegler, M. D., Chelian, S. E., Benvenuto, J., Krichmar, J. L., O’Reilly, R. C., Bhattacharyya, R. (2014). A model of proactive and reactive cognitive control with anterior cingulate cortex and the neuromodulatory system. Biologically Inspired Cognitive Architectures, 10, 61-67. PDF | URL

  • O’Reilly, R. C., Hazy, T. E., Mollick, J., Mackie, P., and Herd, S. A. (2014). Goal-Driven Cognition in the Brain: A Computational Framework. https://arxiv.org/abs/1404.7591 | PDF | URL

  • Herd, S.A., O’Reilly, R.C., Hazy, T.E., Chatham, C.H, Brant, A.M., and Friedman, N.P. (2014). A neural network model of individual differences in task switching abilities. Neuropsychologia, 62, 375–389. PDF | URL

  • Kachergis, G., Wyatte, D., O’Reilly, R. C., de Kleijn, R., Hommel, B. (2014). A continuous-time neural model for sequential action. Philosophical Transactions of The Royal Society B Biological Sciences, 369 20130623. PDF | URL

2013

  • O’Reilly, R.C., Wyatte, D., Herd, S., Mingus, B. & Jilk, D.J. (2013). Recurrent Processing during Object Recognition. Frontiers in Psychology, 4, 124. PDF | URL

  • Kriete T., Noelle, D.C., Cohen, J.D., & O’Reilly, R.C. (2013). Indirection and symbol-like processing in the prefrontal cortex and basal ganglia. Proceedings of the National Academy of Science (USA), 110, 16390-16395. PDF | PDF Supp | URL

  • Ketz, N., O’Reilly, R.C. & Curran, T. (2013). Classification aided analysis of oscillatory signatures in controlled retrieval. NeuroImage. PDF | URL

  • Ketz, N., Morkonda, S.G. & O’Reilly, R.C. (2013). Theta coordinated error-driven learning in the hippocampus. PLoS computational biology, 9, e1003067. PDF | URL

  • O’Reilly, R.C. (2013). Commentary: Individual differences in cognitive flexibility. Biological Psychiatry, 74, 78-79. PDF | URL

  • Herd, S.A., Krueger, K.A., Kriete, T.E., Huang, T. & O’Reilly, R.C. (2013). Strategic Cognitive Sequencing: A Computational Cognitive Neuroscience Approach. Computational Intelligence and Neuroscience, 2013, 149329. PDF | URL

  • Huang, T., Hazy, T.E., Herd, S.A. & O’Reilly, R.C. (2013). Assembling old tricks for new tasks: A neural model of instructional learning and control. Journal of Cognitive Neuroscience, 25, 843-851. PDF | URL

2012

  • Wyatte, D., Herd, S., Mingus, B. & O’Reilly, R.C. (2012). The Role of Competitive Inhibition and Top-Down Feedback in Binding during Object Recognition. Frontiers in psychology, 3, 182. PDF | URL

  • Wyatte, D., Curran, T. & O’Reilly, R.C. (2012). The limits of feedforward vision: Recurrent processing promotes robust object recognition when objects are degraded. Journal of Cognitive Neuroscience, 24, 2248–2261. PDF | URL

  • Stocco, A., Lebiere, C., O’Reilly, R.C. & Anderson, J.R. (2012). Distinct contributions of the caudate nucleus, rostral prefrontal cortex, and parietal cortex to the execution of instructed tasks. Cognitive, Affective and Behavioral Neuroscience, 12, 611-628. PDF | URL

  • Frank, G.K.W., Reynolds, J.R., Shott, M.E., Jappe, L., Yang, T.T., Tregellas, J.R. & O’Reilly, R.C. (2012). Anorexia nervosa and obesity are associated with opposite brain reward response. Neuropsychopharmacology, 37, 2031-2046. PDF | URL

  • Pauli, W.M., Hazy, T.E. & O’Reilly, R.C. (2012). Expectancy, ambiguity, and behavioral flexibility: separable and complementary roles of the orbital frontal cortex and amygdala in processing reward expectancies. Journal of Cognitive Neuroscience, 24, 351-366. PDF | URL

  • Pauli, W.M., Clark, A.D., Guenther, H., O’Reilly, R.C. & Rudy, J.W. (2012). Inhibiting PKMzeta Reveals Dorsal Lateral and Dorsal Medial Striatum Store the Different Memories Needed to Support Adaptive Behavior. Learning and Memory, 19, 307-14. PDF | URL

  • Reynolds, J.R., O’Reilly, R.C., Cohen, J.D. & Braver, T.S. (2012). The function and organization of lateral prefrontal cortex: a test of competing hypotheses. PloS One, 7, e30284. PDF | URL

2011

  • Chatham, C.H., Herd, S.A., Brant, A.M., Hazy, T.E., Miyake, A., O’Reilly, R. & Friedman, N.P. (2011). From an executive network to executive control: a computational model of the n-back task. Journal of cognitive neuroscience, 23, 3598-3619. PDF | URL

  • Munakata, Y., Herd, S.A., Chatham, C.H., Depue, B.E., Banich, M.T. & O’Reilly, R.C. (2011). A unified framework for inhibitory control. Trends in Cognitive Sciences, 15, 453-459. PDF | URL

  • Frank, G.K.W., Reynolds, J.R., Shott, M.E. & O’Reilly, R.C. (2011). Altered temporal difference learning in bulimia nervosa. Biological psychiatry, 70, 728-735. PDF | URL

O’Reilly, R. C. (2011). Surely You Must All be Joking: An Outsider’s Critique of Quantum Physics. ArXiv:1109.0880 [Physics, Physics:Quant-Ph]. http://arxiv.org/abs/1109.0880 PDF | URL

2010

  • Snyder, H.R., Hutchison, N., Nyhus, E., Curran, T., Banich, M.T. & Munakata, Y. (2010). Neural inhibition enables selection during language processing. Proceedings of the National Academy of Sciences, 107, 16483-16488. PDF | URL

  • O’Reilly, R.C. (2010). The What and How of prefrontal cortical organization. Trends in neurosciences, 33, 355-361. PDF | URL

  • O’Reilly, R.C., Herd, S.A. & Pauli, W.M. (2010). Computational models of cognitive control. Current opinion in neurobiology, 20, 257–261. PDF | URL

  • Hazy, T.E., Frank, M.J. & O’Reilly, R.C. (2010). Neural mechanisms of acquired phasic dopamine responses in learning. Neuroscience and biobehavioral reviews, 34, 701–720. PDF | URL

  • Pauli, W. M. and Atallah, H. E. and O’Reilly, R. C. (2010). Integrating what & how/where with instrumental and Pavlovian learning: A biologically based computational model, Frensch, P. A. and Schwarzer, R. (Eds) Cognition and Neuropsychology - International Perspectives on Psychological Science. East Sussex, UK: Psychology Press. PDF

2009

  • Reynolds, J.R. & O’Reilly, R.C. (2009). Developing PFC representations using reinforcement learning. Cognition, 113, 281-292. PDF | URL

2008

  • Jilk, D.J., Lebiere, C., O’Reilly, R.C. & Anderson, J.R. (2008). SAL: An explicitly pluralistic cognitive architecture. Journal of Experimental and Theoretical Artificial Intelligence, 20, 197-218. PDF | URL

  • Bayley, P.J., O’Reilly, R.C., Curran, T. & Squire, L.R. (2008). New semantic learning in patients with large medial temporal lobe lesions. Hippocampus, 18, 575-583. PDF | URL

  • Atallah, H.E., Rudy, J.W. & O’Reilly, R.C. (2008). The role of the dorsal striatum and dorsal hippocampus in probabilistic and deterministic odor discrimination tasks. Learning and Memory, 15, 294-298. PDF | URL

  • Aisa, B., Mingus, B. & O’Reilly, R. (2008). The emergent neural modeling system. Neural networks, 21, 1146–1152. PDF | URL

  • Huber, D.E., Tian, X., Curran, T., O’Reilly, R.C. & Woroch, B. (2008). The dynamics of integration and separation: ERP MEG and neural network studies of immediate repetition effects. Journal of experimental psychology, 34, 1389–1416. PDF | URL

  • Pauli, W.M. & O’Reilly, R.C. (2008). Attentional control of associative learning – a possible role of the central cholinergic system. Brain Research, 1202, 43-53. PDF | URL

2007

  • Frank, M., Santamaria, A., O’Reilly, R. & Willcutt, E. (2007). Testing Computational Models of Dopamine and Noradrenaline Dysfunction in Attention Deficit/Hyperactivity Disorder. Neuropsychopharmacology, 32, 1583-99. PDF | URL

  • Hazy, T.E., Frank, M.J. & O’Reilly, R.C. (2007). Towards an executive without a homunculus: computational models of the prefrontal cortex/basal ganglia system. Philosophical Transactions of the Royal Society B, 362, 1601-1613. PDF | PDF Supp | URL

  • O’Reilly, R.C., Frank, M.J., Hazy, T.E. & Watz, B. (2007). PVLV: The Primary Value and Learned Value Pavlovian Learning Algorithm. Behavioral Neuroscience, 121, 31-49. PDF | URL

  • Atallah, H.E., Lopez-Paniagua, D., Rudy, J.W. & O’Reilly, R. (2007). Separate neural substrates for skill learning and performance in the ventral and dorsal striatum. Nature Neuroscience, 10, 126-131. PDF | URL

2006

  • OReilly, R.C. (2006). Biologically Based Computational Models of High-Level Cognition. Science, 314, 91-94. PDF | URL

  • Frank, M.J. & O’Reilly, R.C. (2006). A mechanistic account of striatal dopamine function in human cognition: Psychopharmacological studies with cabergoline and haloperidol. Behavioral Neuroscience, 120, 497-517. PDF | PDF Supp | URL

  • Hazy, T.E., Frank, M.J. & O’Reilly, R.C. (2006). Banishing the Homunculus: Making Working Memory Work. Neuroscience, 139, 105-118. PDF | URL

  • O’Reilly, R.C. & Frank, M.J. (2006). Making Working Memory Work: A Computational Model of Learning in the Frontal Cortex and Basal Ganglia. Neural Computation, 18, 283-328. PDF | URL

  • Frank, M.J., OReilly, R.C. & Curran, T. (2006). When memory fails, intuition reigns: Midazolam enhances implicit inference in humans. Psychological Science, 17, 700-707. PDF | URL

  • Herd, S.A., Banich, M.T. & O’Reilly, R.C. (2006). Neural Mechanisms of Cognitive Control: An integrative Model of Stroop Task Performance and fMRI data. Journal of Cognitive Neuroscience, 18, 22-32. PDF | URL

  • Cer, D.M. & O’Reilly, R.C. (2006). Neural mechanisms of binding in the hippocampus and neocortex: Insights from computational models. H.D. Zimmer, A. Mecklinger & U. Lindenberger (Eds) Binding in Memory, Oxford: Oxford University Press. PDF

  • O’Reilly, R.C. (2006). Modeling Integration and Dissociation in Brain and Cognitive Development. Y. Munakata & M.H. Johnson (Eds) Processes of Change in Brain and Cognitive Development: Attention and Performance XXI., Oxford: Oxford University Press. PDF

  • O’Reilly, R.C. & Beck, J.M. (2006). A Family of Large-Stencil Discrete Laplacian Approximations in Three Dimensions. PDF

2005

  • Rougier, N.P., Noelle, D., Braver, T.S., Cohen, J.D. & O’Reilly, R.C. (2005). Prefrontal Cortex and the Flexibility of Cognitive Control: Rules Without Symbols. Proceedings of the National Academy of Sciences, 102, 7338-7343. PDF | PDF Supp | URL

  • Herd, S.A. & O’Reilly, R.C. (2005). Serial visual search from a parallel model. Vision Research, 45, 2987-2992. PDF | URL

  • O’Reilly, R.C. (2005). The Division of Labor Between the Neocortex and Hippocampus. G. Houghton (Ed) Connectionist Modeling in Cognitive Psychology, : Psychology Press. PDF

  • Frank, M.J., Rudy, J.W., Levy, W.B. & O’Reilly, R.C. (2005). When Logic Fails: Implicit Transitive Inference in Humans. Memory and Cognition, 33, 742-750. PDF | URL

  • Rudy, J.W., Biedenkapp, J.C. & O’Reilly, R.C. (2005). Prefrontal Cortex and the Organization of Recent and Remote Memories: An Alternative View. Learning and Memory, 12, 445-446. PDF | URL

2004

  • Frank, M.J., Seeberger, L. & O’Reilly, R.C. (2004). By carrot or by stick: Cognitive reinforcement learning in Parkinsonism. Science, 306, 1940-1943. PDF | PDF Supp | URL

  • Atallah, H.E., Frank, M.J. & O’Reilly, R.C. (2004). Hippocampus, cortex and basal ganglia: Insights from computational models of complementary learning systems. Neurobiology of Learning and Memory, 82/3, 253-67. PDF | URL

2003

  • Norman, K. A. & O’Reilly, R.C. (2003). Modeling Hippocampal and Neocortical Contributions to Recognition Memory: A Complementary Learning Systems Approach. Psychological Review, 110, 611-646. PDF | URL

  • VanElzakker, M., O’Reilly, R.C. & Rudy, J.W. (2003). Transitivity, Flexibility, Conjunctive Representations and the Hippocampus: I. An Empirical Analysis. Hippocampus, 13, 334-340. PDF | URL

  • Frank, M.J., Rudy, J.W. & O’Reilly, R.C. (2003). Transitivity, Flexibility, Conjunctive Representations and the Hippocampus: II. A Computational Analysis. Hippocampus, 13, 341-354. PDF | URL

  • Munakata, Y. & O’Reilly, R.C. (2003). Developmental and Computational Neuroscience Approaches to Cognition: The Case of Generalization. Cognitive Studies, 10, 76-92. PDF

  • Jilk, D.J., Cer, D.M. & O’Reilly, R.C. (2003). Learning Rules Generated by a Biophysical Model of Synaptic Plasticity. Computational Neuroscience Conference, 2003, PDF

  • Huber, D.E. & O’Reilly, R.C. (2003). Persistence and accommodation in short-term priming and other perceptual paradigms: Temporal segregation through synaptic depression. Cognitive Science, 27, 403-430. PDF

  • O’Reilly, R.C., Busby, R.S. & Soto, R. (2003). Three Forms of Binding and their Neural Substrates: Alternatives to Temporal Synchrony. A. Cleeremans (Ed) The Unity of Consciousness: Binding, Integration, and Dissociation, 168-192, Oxford: Oxford University Press. PDF

  • O’Reilly, R.C. & Munakata, Y. (2003). Computational Neuroscience and Cognitive Modeling. L. Nadel (Ed) Encyclopedia of Cognitive Sciences, London: Macmillan. PDF

  • O’Reilly, R.C. & Munakata, Y. (2003). Psychological Function in Computational Models of Neural Networks. M. Gallagher & R. Nelson (Eds) Handbook of Psychology, Vol 3, Biological Psychology, New York: Wiley. PDF

2002

  • O’Reilly, R.C. & Norman, K.A. (2002). Hippocampal and Neocortical Contributions to Memory: Advances in the Complementary Learning Systems Framework. Trends in Cognitive Sciences, 6, 505-510. PDF | URL

  • Rudy, J.W., Barrientos, R.M. & OReilly, R.C. (2002). Hippocampal Formation Supports Conditioning to Memory of a Context. Behavioral Neuroscience, 116, 530-538. PDF | URL

  • Barrientos, R.M., OReilly, R.C. & Rudy, J.W. (2002). Memory for context is impaired by injecting anisomycin into dorsal hippocampus following context exploration. Behavioural Brain Research, 134, 299-306. PDF | URL

  • Holdstock, J.S., Mayes, A.R., Roberts, N., Cezayirli, E., Isaac, C.L., O’Reilly, R.C. & Norman, K.A. (2002). Under What Conditions is Recognition Spared Relative to Recall After Selective Hippocampal Damage in Humans?. Hippocampus, 12, 341-351. PDF | URL

  • Rougier, N.P. & O’Reilly, R.C. (2002). Learning representations in a gated prefrontal cortex model of dynamic task switching. Cognitive Science, 26, 503-520. PDF | URL

  • O’Reilly, R.C. & Soto, R. (2002). A Model of the Phonological Loop: Generalization and Binding. Advances in Neural Information Processing Systems (NIPS) 14, T.G. Dietterich, S. Becker & Z. Ghahramani (Eds), Cambridge, MA; MIT Press. PDF

  • O’Reilly, R.C., Noelle, D., Braver, T.S. & Cohen, J.D. (2002). Prefrontal cortex and dynamic categorization tasks: Representational organization and neuromodulatory control. Cerebral Cortex, 12, 246-257. PDF | URL

  • O’Reilly, R.C. & Busby, R.S. (2002). Generalizable Relational Binding from Coarse-coded Distributed Representations. *Advances in Neural Information Processing Systems (NIPS) 14,*T.G. Dietterich, S. Becker & Z. Ghahramani (Eds), Cambridge, MA; MIT Press. PDF

2001

  • O’Reilly, R.C. (2001). Generalization in Interactive Networks: The Benefits of Inhibitory Competition and Hebbian Learning. Neural Computation, 13, 1199-1242. PDF | URL

  • Frank, M.J., Loughry, B. & O’Reilly, R.C. (2001). Interactions between the frontal cortex and basal ganglia in working memory: A computational model. Cognitive, Affective, and Behavioral Neuroscience, 1, 137-160. PDF | URL

  • O’Reilly, R.C. & McClelland, J.L. (2001). The Importance of Modeling for the Future of Molecular Studies of Learning and Memory. A.J. Silva (Ed) Molecular Studies of Learning and Memory, : Unpublished. PDF

  • Rudy, J.W. & O’Reilly, R.C. (2001). Conjunctive Representations, the Hippocampus, and Contextual Fear Conditioning. Cognitive, Affective, and Behavioral Neuroscience, 1, 66-82. PDF | URL

  • O’Reilly, R.C. & Rudy, J.W. (2001). Conjunctive Representations in Learning and Memory: Principles of Cortical and Hippocampal Function. Psychological Review, 108, 311-345. PDF | URL

  • Munakata, Y., Santos, L.R., Spelke, E.S., Hauser, M.D. & O’Reilly, R.C. (2001). Visual representation in the wild: How rhesus monkeys parse objects. Journal of Cognitive Neuroscience, 13, 44-58. PDF

2000

  • O’Reilly, R.C. & Rudy, J.W. (2000). Computational Principles of Learning in the Neocortex and Hippocampus. Hippocampus, 10, 389-397. PDF | URL

  • Norman, K.A., O’Reilly, R.C. & Huber, D.E. (2000). Modeling Neocortical Contributions to Recognition Memory. The Cognitive Neuroscience Meeting, 2000, PDF | PDF Supp

  • Vecera, S.P. & O’Reilly, R.C. (2000). Graded Effects in Hierarchical Figure-Ground Organization: Reply To Peterson (1999). Journal of Experimental Psychology: Human Perception and Performance, 26, 1221-1230. PDF | URL

1999

  • O’Reilly, R.C., Braver, T.S. & Cohen, J.D. (1999). A Biologically Based Computational Model of Working Memory. A. Miyake & P. Shah (Eds) Models of Working Memory: Mechanisms of Active Maintenance and Executive Control., 375-411, New York: Cambridge University Press. PDF

  • Rudy, J.W. & O’Reilly, R.C. (1999). Contextual Fear Conditioning, Conjunctive Representations, Pattern Completion, and the Hippocampus. Behavioral Neuroscience, 113, 867-880. PDF | URL

  • O’Reilly, R.C., Mozer, M., Munakata, Y. & Miyake, A. (1999). Discrete Representations in Working Memory: A Hypothesis and Computational Investigations. The Second International Conference on Cognitive Science, 183-188, Tokyo; Japanese Cognitive Science Society. PDF

  • O’Reilly, R.C. & Farah, M.J. (1999). Simulation and Explanation in Neuropsychology and Beyond. Cognitive Neuropsychology, 16, 49-72. PDF

1998

  • O’Reilly, R.C. (1998). Six Principles for Biologically-Based Computational Models of Cortical Cognition. Trends in Cognitive Sciences, 2, 455-462. PDF | URL

  • Vecera, S.P. & O’Reilly, R.C. (1998). Figure-Ground Organization and Object Recognition Processes: An Interactive Account. Journal of Experimental Psychology: Human Perception and Performance, 24, 441-462. PDF | URL

  • O’Reilly, R.C., Norman, K.A. & McClelland, J.L. (1998). A Hippocampal Model of Recognition Memory. M.I. Jordan, M.J. Kearns & S.A. Solla (Eds) Advances in Neural Information Processing Systems 10, 73-79, Cambridge, MA: MIT Press. PDF

1996

  • O’Reilly, R.C. (1996). Biologically Plausible Error-driven Learning using Local Activation Differences: The Generalized Recirculation Algorithm. Neural Computation, 8, 895-938. PDF | URL

  • O’Reilly, R.C. (1996). The Leabra Model of Neural Interactions and Learning in the Neocortex. Phd Thesis, Carnegie Mellon University, Pittsburgh, PA. PDF

  • Cohen, J.D. & O’Reilly, R.C. (1996). A Preliminary Theory of the Interactions Between Prefrontal Cortex and Hippocampus that Contribute to Planning and Prospective Memory. M. Brandimonte, G.O. Einstein & M.A. McDaniel (Eds) Prospective Memory: Theory and Applications, 267-296, Mahwah, New Jersey: Lawrence Erlbaum Associates. PDF

  • Cohen, J.D., Braver, T.S. & O’Reilly, R.C. (1996). A Computational Approach to Prefrontal Cortex, Cognitive Control, and Schizophrenia: Recent Developments and Current Challenges. Philosophical Transactions of the Royal Society (London) {B}, 351, 1515-1527. PDF

1995

  • McClelland, J.L., McNaughton, B.L. & O’Reilly, R.C. (1995). Why There are Complementary Learning Systems in the Hippocampus and Neocortex: Insights from the Successes and Failures of Connectionist Models of Learning and Memory. Psychological Review, 102, 419-457. PDF | URL

1994

  • O’Reilly, R.C. & McClelland, J.L. (1994). Hippocampal Conjunctive Encoding, Storage, and Recall: Avoiding a Tradeoff. Hippocampus, 4, 661-682. PDF | URL

  • O’Reilly, R.C. (1994). Temporally Local Unsupervised Learning: The MaxIn Algorithm for Maximizing Input Information. Proceedings of the 1993 Connectionist Models Summer School, M.C. Mozer, P. Smolensky & A.S. Weigend (Eds), Hillsdale, NJ; Lawrence Erlbaum Associates. PDF

  • O’Reilly, R.C. & Johnson, M.H. (1994). Object Recognition and Sensitive Periods: A Computational Analysis of Visual Imprinting. Neural Computation, 6, 357-389. PDF | URL

1993

  • Farah, M.J., O’Reilly, R.C. & Vecera, S.P. (1993). Dissociated Overt and Covert Recognition as an Emergent Property of a Lesioned Neural Network. Psychological Review, 100, 571-588. PDF | URL

1992

  • O’Reilly, R.C. & McClelland, J.L. (1992). The Self-Organization of Spatially Invariant Representations. Technical Report {PDP.CNS.92.5} Carnegie Mellon University, Department of Psychology. PDF

1990

  • O’Reilly, R.C., Kosslyn, S.M., Marsolek, C.J. & Chabris, C.F. (1990). Receptive Field Characteristics that Allow Parietal Lobe Neurons to Encode Spatial Properties of Visual Input: A computational investigation. Journal of Cognitive Neuroscience, 2, 141-155. PDF

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