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.

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. URL

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

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

Visual Perception and Object Recognition

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

Papers Organized by Theme

Leabra Integrated Biologically-Based Cognitive Architecture

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

  • () 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. 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.

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

  • () 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.

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

  • () 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.

  • () 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.

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

  • () 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,

  • () 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.

  • () 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.

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

  • () 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.

  • () 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

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

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

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

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

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

  • () 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 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

  • () O’Reilly, R. C., Hazy, T. E., Mollick, J., Mackie, P., and Herd, S. A. (submitted). Goal-Driven Cognition in the Brain: A Computational Framework. Preprint avail at: http://arxiv.org/abs/1404.7591 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. 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.

  • () 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 KrieteNoelleCohenEtAl13supp URL

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

  • () 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. 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. 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. URL

  • () 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. URL

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

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

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

  • () 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.

  • () 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. HazyFrankOReilly07_supp

  • () 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.

  • () 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.

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

  • () 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. FrankOReilly06_supp

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

  • () 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.

  • () 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.

  • () 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. RougierNoelleBraverEtAl05sup

  • () Frank, M.J., Seeberger, L. & O’Reilly, R.C. (2004). By carrot or by stick: Cognitive reinforcement learning in Parkinsonism. Science, 306, 1940-1943. FrankSeebergerOReilly04sup

  • () 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.

  • () 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

  • () 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.

  • () 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.

  • () 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.

  • () 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.

  • () 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.

  • () 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.

Visual Perception and Object Recognition

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

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

  • () 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. 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. URL

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

  • () 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.

  • () 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.

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

  • () 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.

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

  • () 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.

  • () 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.

  • () 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.

Learning and Memory in the Hippocampus and Neocortex

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

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

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

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

  • () 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.

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

  • () 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.

  • () 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.

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

  • () 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.

  • () 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.

  • () 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.

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

  • () 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.

  • () 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.

  • () 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.

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

  • () 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.

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

  • () Norman, K.A., O’Reilly, R.C. & Huber, D.E. (2000). Modeling Neocortical Contributions to Recognition Memory. The Cognitive Neuroscience Meeting, 2000, NormanOReillyHuber00supp

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

  • () 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.

  • () 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.

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

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