• R. C. O'Reilly. The LEABRA model of neural interactions and learning in the neocortex. PhD Thesis, 1996.
• Randall C. O'Reilly. Six principles for biologically based computational models of cortical cognition. Trends in Cognitive Sciences, 2(11):455–462, 1998. (doi:10.1016/S1364-6613(98)01241-8)
• S. P. Vecera and R. C. O'Reilly. Figure-ground organization and object recognition processes: an interactive account. Journal of experimental psychology. Human perception and performance, 24(2):441–462, 1998. (doi:10.1037/0096-1523.24.2.441)
• Randall C. O'Reilly and James H. Hoeffner. Competition, Priming, and the Past Tense U-Shaped Developmental Curve. 2000.
• Randall C. O'Reilly and Jerry W. Rudy. Conjunctive Representations in Learning and Memory: Principles of Cortical and Hippocampal Function. Psychological Review, 108(1):83–95, 2001. (doi:10.1037//0033-295X.)
• R.C. O'Reilly and R.S. Busby. Generalizable relational binding from coarse-coded distributed representations. Advances in neural information processing systems, 1:75–82, 2002.
• Nicolas P. Rougier and Randall C. O'Reilly. Learning representations in a gated prefrontal cortex model of dynamic task switching. Cognitive Science, 26(4):503–520, 2002. (doi:10.1016/s0364-0213(02)00073-3)
• Yuko Munakata and Randall C. O'Reilly. Developmental and Computational Neuroscience Approaches to Cognition: The Case of Generalization. Cognitive Studies, 10(1):76–92, 2003.
• K. A. Norman and R. C. O'Reilly. Modeling hippocampal and neocortical contributions to recognition memory: a complementary-learning-systems approach. Psychological Review, 110(4):611–646, 2003. (doi:10.1037/0033-295X.110.4.611)
• Hisham E. Atallah, Michael J. Frank, and Randall C. O'Reilly. Hippocampus, cortex, and basal ganglia: Insights from computational models of complementary learning systems. Neurobiology of Learning and Memory, 82(3):253–267, 2004. (doi:10.1016/j.nlm.2004.06.004)
• Seth A. Herd and Randall C. O'Reilly. Serial visual search from a parallel model. Vision Research, 45(24):2987–2992, 2005. (doi:10.1016/j.visres.2005.07.017)
• Nicolas P. Rougier, David C. Noelle, Todd S. Braver, Jonathan D. Cohen, and Randall C. O'Reilly. Prefrontal cortex and flexible cognitive control: rules without symbols. In Proceedings of the National Academy of Sciences of the United States of America, volume 102, pages 7338–7343, 2005. (doi:10.1073/pnas.0502455102)
• T. E. Hazy, M. J. Frank, and R. C. O'Reilly. Banishing the homunculus: Making working memory work. Neuroscience, 139(1):105–118, 2006. (doi:10.1016/j.neuroscience.2005.04.067)
• Seth A. Herd, Marie T Banich, and Randall C. O'Reilly. Neural mechanisms of cognitive control: an integrative model of stroop task performance and FMRI data. Journal of Cognitive Neuroscience, 18(1):22–32, 2006. (doi:10.1162/089892906775250012)
• R. C. O'Reilly. Modeling integration and dissociation in brain and cognitive development. In Processes of change in brain and cognitive development: Attention and performance XXI, pages 375–401. 2006.
• Randall C. O'Reilly and Michael J. Frank. Making working memory work: a computational model of learning in the prefrontal cortex and basal ganglia.. Neural computation, 18(2):283–328, 2006. (doi:10.1162/089976606775093909)
• Ashish Gupta and David C. Noelle. A dual-pathway neural network model of control relinquishment in motor skill learning. In Proceedings of the International Joint Conference on Artificial Intelligence, pages 405–410, 2007.
• Thomas E. Hazy, M. J. Frank, and R. C. O'Reilly. Towards an executive without a homunculus: computational models of the prefrontal cortex/basal ganglia system.. Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 362(1485):1601–13, 2007. (doi:10.1098/rstb.2007.2055)
• Randall C. O'Reilly, Michael J. Frank, Thomas E. Hazy, and Brandon Watz. PVLV: the primary value and learned value Pavlovian learning algorithm.. Behavioral neuroscience, 121(1):31–49, 2007. (doi:10.1037/0735-7044.121.1.31)
• Brad Aisa, Brian Mingus, and Randy O'Reilly. The Emergent neural modeling system. Neural Networks, 21(8):1146–1152, 2008. (doi:10.1016/j.neunet.2008.06.016)
• Wolfgang M. Pauli and Randall C. O'Reilly. Attentional control of associative learning - A possible role of the central cholinergic system. Brain Research, 1202:43–53, 2008. (doi:10.1016/j.brainres.2007.06.097)
• Jeremy R. Reynolds and Randall C. O'Reilly. Developing PFC representations using reinforcement learning. Cognition, 113(3):281–292, 2009. (doi:10.1016/j.cognition.2009.05.015)
• John Anderson, Christian Lebiere, Randall O'Reilly, and Andrea Stocco. Integrated Cognitive Architectures for Robust Decision Making. Technical Report FA9550-08-1-0404, 298(0704):41, 2010.
• Alexander A. Petrov, David J. Jilk, and R. C. O'Reilly. The Leabra architecture: Specialization without modularity. Behavioral and Brain Sciences, 33(4):286–287, 2010. (doi:10.1017/S0140525X10001160)
• Christopher H. Chatham, Seth A. Herd, Angela M. Brant, Thomas E. Hazy, Akira Miyake, Randall C. O'Reilly, and Scott E. Friedman. From an Executive Network to Executive Control: A Computational Model of the N-back Task. Journal of Cognitive Neuroscience, 23(11):3598–3619, 2011. (doi:10.1162/jocn)
• Yury Vinokurov, Christian Lebiere, Seth Herd, and Randall O'Reilly. A Metacognitive Classifier Using a Hybrid ACT-R / Leabra Architecture. In Lifelong learning: Papers from the 2011 AAAI workshop, 2011.
• Daniel M. Cer and Randall C. O'Reily. Neural mechanisms of binding in the hippocampus and neocortex: Insights from computational models. In Handbook of Binding and Memory: Perspectives from Cognitive Neuroscience. 2012. (doi:10.1093/acprof:oso/9780198529675.003.0008)
• Randall C. O'Reilly, Thomas E. Hazy, and Seth A. Herd. The Leabra cognitive architecture: how to play 20 principles with nature and win!. In The Oxford Handbook of Cognitive Science, pages 1–31. 2012.
• Yury Vinokurov, Christian Lebiere, Dean Wyatte, Seth Herd, and Randall O'Reilly. Unsurpervised Learning in Hybrid Cognitive Architectures. In Workshops at the 26th AAAI conference on artificial intelligence, pages 36–41, 2012.
• Dean Wyatte, Seth Herd, Brian Mingus, and Randall O'Reilly. The role of competitive inhibition and top-down feedback in binding during object recognition. Frontiers in Psychology, 3, 2012. (doi:10.3389/fpsyg.2012.00182)
• Seth A. Herd, Kai A. Krueger, Trenton E. Kriete, Tsung Ren Huang, Thomas E. Hazy, and Randall C. O'Reilly. Strategic cognitive sequencing: A computational cognitive neuroscience approach. Computational Intelligence and Neuroscience, 2013, 2013. (doi:10.1155/2013/149329)
• Nicholas Ketz, Srinimisha G. Morkonda, and Randall C. O'Reilly. Theta Coordinated Error-Driven Learning in the Hippocampus. PLoS Computational Biology, 9(6), 2013. (doi:10.1371/journal.pcbi.1003067)
• Randall C. O'Reilly, Dean Wyatte, Seth Herd, Brian Mingus, and David J. Jilk. Recurrent processing during object recognition. Frontiers in Psychology, 4, 2013. (doi:10.3389/fpsyg.2013.00124)
• George Kachergis, Dean Wyatte, Randall C. O'Reilly, Roy de Kleijn, and Bernard Hommel. A continuous time neural model for sequential action. Philosophical Transactions of the Royal Society, 369(1655), 2014. (doi:10.1098/rstb.2013.0623)
• Randall C. O'Reilly, Thomas E. Hazy, Jessica Mollick, Prescott Mackie, and Seth Herd. Goal-Driven Cognition in the Brain: A Computational Framework. arXiv preprint arXiv:1404.7591, 2014.
• Randall C. O'Reilly, Dean Wyatte, and John Rohrlich. Learning Through Time in the Thalamocortical Loops. arXiv preprint arXiv:1407.3432, 2014.