Randy O'Reilly

Position Title
Professor

Unit
Center for Neuroscience
Department of Psychology
Department of Computer Science

1544 Newton Court, Rm 207 Davis, CA 95618
Bio

Computational cognitive neuroscience in learning, memory, attention and controlled processes

Research Summary

Dr. O’Reilly is Professor of Psychology, Computer Science, and the Center for Neuroscience at the University of California Davis. He has authored over 70 journal articles and an influential textbook on computational cognitive neuroscience. His work focuses on biologically-based computational models of learning mechanisms in different brain areas, including hippocampus, prefrontal cortex and basal ganglia, and posterior visual cortex. He has received significant funding from ONR, NIH, NSF, IARPA, and DARPA. He is a primary author of the Emergent neural network simulation environment. O’Reilly completed a postdoctoral position at the Massachusetts Institute of Technology, earned his M.S. and Ph.D. degrees in Psychology from Carnegie Mellon University and was awarded an A.B. degree with highest honors in Psychology from Harvard University.

Dr. O'Reilly develops computational and formal models of the biological bases of cognition (computational cognitive neuroscience), focusing on specialization of function in and interactions between hippocampus, prefrontal cortex/basal ganglia, and posterior neocortex in learning, memory, attention, and controlled processing. He tests predictions from these models using a range of behavioral and other experimental techniques.

Select Publications

OReillyHazyHerd16 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.

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

OReillyWyatteRohrlich17 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

OReillyBhattacharyyaHowardEtAl14 O'Reilly, R.C., Bhattacharyya, R., Howard, M.D. & Ketz, N. (2014). Complementary Learning Systems. Cognitive Science, 38,1229-1248.