CCNLab/publications

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Curriculum Vitae (CV's)

Copyright Notice

The documents distributed here have been provided as a means to ensure timely dissemination of scholarly and technical work on a noncommercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Recommended Introductory Papers

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

Leabra Integrated Biologically-Based Cognitive Architecture

  • OReillyHazyHerdIP O'Reilly, R.C., Hazy, T.E. & Herd, S.A. (in press). 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 icon.png OReillyHazyHerdIP.pdf
  • Also see our textbook on this site: CCNBook/Main

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

  • OReilly06 OReilly, R.C. (2006). Biologically Based Computational Models of High-Level Cognition. Science, 314, 91-94. pdf icon.png OReilly06.pdf

Visual Perception and Object Recognition

Learning and Memory in the Hippocampus and Neocortex

Papers Organized by Theme

Leabra Integrated Biologically-Based Cognitive Architecture

  • OReillyWyatteRohrlichIP O'Reilly, R.C., Wyatte, D., and Rohrlich, J. (submitted). Learning Through Time in the Thalamocortical Loops. Preprint avail at: http://arxiv.org/abs/1407.3432 pdf icon.png OReillyWyatteRohrlichIP.pdf (Web)
  • OReillyHazyHerdIP O'Reilly, R.C., Hazy, T.E. & Herd, S.A. (in press). 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 icon.png OReillyHazyHerdIP.pdf
  • SunOReillyBhattacharyyaEtAl15 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 icon.png SunOReillyBhattacharyyaEtAl15.pdf (Web)
  • OReillyPetrovCohenEtAl14 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 icon.png OReillyPetrovCohenEtAl14.pdf (Web)
  • ZieglerChelianBenvenutoEtAl14 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 icon.png ZieglerChelianBenvenutoEtAl14.pdf (Web)
  • JilkLebiereOReillyAnderson08 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 icon.png JilkLebiereOReillyAnderson08.pdf
  • AisaMingusOReilly08 Aisa, B., Mingus, B. & O'Reilly, R. (2008). The emergent neural modeling system. Neural networks, 21, 1146--1152. pdf icon.png AisaMingusOReilly08.pdf (Web)
  • HuberTianCurranEtAl08 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 icon.png HuberTianCurranEtAl08.pdf (Web)
  • CerOReilly06 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 icon.png CerOReilly06.pdf
  • OReilly06ap 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 icon.png OReilly06ap.pdf
  • AtallahFrankOReilly04 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 icon.png AtallahFrankOReilly04.pdf
  • MunakataOReilly03 Munakata, Y. & O'Reilly, R.C. (2003). Developmental and Computational Neuroscience Approaches to Cognition: The Case of Generalization. Cognitive Studies, 10, 76-92. pdf icon.png MunakataOReilly03.pdf
  • JilkCerOReilly03 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 icon.png JilkCerOReilly03.pdf
  • HuberOReilly03 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 icon.png HuberOReilly03.pdf
  • OReillyBusbySoto03 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 icon.png OReillyBusbySoto03.pdf
  • OReillyMunakata03 O'Reilly, R.C. & Munakata, Y. (2003). Computational Neuroscience and Cognitive Modeling. L. Nadel (Ed) Encyclopedia of Cognitive Sciences, London: Macmillan. pdf icon.png OReillyMunakata03.pdf
  • OReillyBusby02 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 icon.png OReillyBusby02.pdf
  • OReillyMunakata02 O'Reilly, R.C. & Munakata, Y. (2002). Psychological Function in Computational Models of Neural Networks. M. Gallagher & R. Nelson (Eds) Handbook of Psychology, Vol 3, Biological Psychology, New York: Wiley. pdf icon.png OReillyMunakata02.pdf
  • OReilly01 O'Reilly, R.C. (2001). Generalization in Interactive Networks: The Benefits of Inhibitory Competition and Hebbian Learning. Neural Computation, 13, 1199-1242. pdf icon.png OReilly01.pdf
  • OReilly98 O'Reilly, R.C. (1998). Six Principles for Biologically-Based Computational Models of Cortical Cognition. Trends in Cognitive Sciences, 2, 455-462. pdf icon.png OReilly98.pdf
  • OReilly96 O'Reilly, R.C. (1996). Biologically Plausible Error-driven Learning using Local Activation Differences: The Generalized Recirculation Algorithm. Neural Computation, 8, 895-938. pdf icon.png OReilly96.pdf
  • OReilly96phd O'Reilly, R.C. (1996). The Leabra Model of Neural Interactions and Learning in the Neocortex. Phd Thesis, Carnegie Mellon University, Pittsburgh, PA pdf icon.png OReilly96phd.pdf (Web)
  • OReilly94 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 icon.png OReilly94.pdf

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

Visual Perception and Object Recognition

  • WyatteJilkOReilly14 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 icon.png WyatteJilkOReilly14.pdf (Web)
  • OReillyWyatteHerdEtAl13 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 icon.png OReillyWyatteHerdEtAl13.pdf (Web)
  • WyatteHerdMingusEtAl12 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 icon.png WyatteHerdMingusEtAl12.pdf (Web)
  • WyatteCurranOReilly12 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 icon.png WyatteCurranOReilly12.pdf (Web)
  • HerdOReilly05 Herd, S.A. & O'Reilly, R.C. (2005). Serial visual search from a parallel model. Vision Research, 45, 2987-2992. pdf icon.png HerdOReilly05.pdf
  • MunakataSantosSpelkeEtAl01 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 icon.png MunakataSantosSpelkeEtAl01.pdf
  • VeceraOReilly00 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 icon.png VeceraOReilly00.pdf
  • OReillyFarah99 O'Reilly, R.C. & Farah, M.J. (1999). Simulation and Explanation in Neuropsychology and Beyond. Cognitive Neuropsychology, 16, 49-72. pdf icon.png OReillyFarah99.pdf
  • VeceraOReilly98 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 icon.png VeceraOReilly98.pdf
  • OReillyJohnson94 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 icon.png OReillyJohnson94.pdf
  • FarahOReillyVecera93 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 icon.png FarahOReillyVecera93.pdf
  • OReillyMcClelland92 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 icon.png OReillyMcClelland92.pdf
  • OReillyKosslynMarsolekEtAl90 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 icon.png OReillyKosslynMarsolekEtAl90.pdf

Learning and Memory in the Hippocampus and Neocortex