Jeffrey L. Krichmar, Ph.D.

Cognitive Sciences University of California, Irvine, Irvine, CA 
Computational neuroscience, cognitive robotics
"Jeffrey Krichmar"

effrey L. Krichmar received a B.S. in Computer Science in 1983 from the University of Massachusetts at Amherst, a M.S. in Computer Science from The George Washington University in 1991, and a Ph.D. in Computational Sciences and Informatics from George Mason University in 1997. He spent 15 years as a software engineer on projects ranging from the PATRIOT Missile System at the Raytheon Corporation to Air Traffic Control for the Federal Systems Division of IBM. In 1997, he became an assistant professor at The Krasnow Institute for Advanced Study at George Mason University. From 1999 to 2007, he was a Senior Fellow in Theoretical Neurobiology at The Neurosciences Institute. He currently is an associate professor in the Department of Cognitive Sciences and the Department of Computer Science at the University of California, Irvine. His research interests include neurorobotics, embodied cognition, biologically plausible models of learning and memory, and the effect of neural architecture on neural function.
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Cross-listing: Neurotree - Computational Biology Tree


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Lawrence E. Hunter grad student 1991-1997 George Mason (Neurotree)
Gerald Maurice Edelman post-doc 1999-2011 The Neurosciences Institute (Neurotree)


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Hirak J Kashyap grad student (Neurotree)
Tiffany Jean Hwu grad student 2014- UC Irvine (Neurotree)
Michael Avery grad student 2013 UC Irvine (Neurotree)
Andrew Zaldivar grad student 2014 UC Irvine
Derrik  E. Asher grad student 2008-2014 UC Irvine (Neurotree)
Michael Beyeler grad student 2012-2016 UC Irvine (Neurotree)
Nicolas Oros post-doc UC Irvine (Neurotree)
Micah Richert post-doc UC Irvine (Neurotree)
Anil K. Seth post-doc 2001-2006 NSI (Neurotree)
Jason G. Fleischer post-doc 2004-2007 The Neurosciences Institute
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Chen K, Kashyap HJ, Krichmar JL, et al. (2023) What can computer vision learn from visual neuroscience? Introduction to the special issue. Biological Cybernetics. 117: 297-298
Ahumada-Newhart V, Kashyap HJ, Hwu T, et al. (2023) Evaluation of the Toyota Human Support Robot (HSR) for Social Interaction and Learning. International Journal of Technology, Knowledge and Society. 19: 21-52
Kopsick JD, Tecuatl C, Moradi K, et al. (2022) Robust Resting-State Dynamics in a Large-Scale Spiking Neural Network Model of Area CA3 in the Mouse Hippocampus. Cognitive Computation. 15: 1190-1210
Chen K, Beyeler M, Krichmar JL. (2022) Cortical motion perception emerges from dimensionality reduction with evolved spike-timing dependent plasticity rules. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Krichmar JL, Hwu TJ. (2022) Design Principles for Neurorobotics. Frontiers in Neurorobotics. 16: 882518
Chen K, Hwu T, Kashyap HJ, et al. (2020) Neurorobots as a Means Toward Neuroethology and Explainable AI. Frontiers in Neurorobotics. 14: 570308
Kashyap HJ, Fowlkes CC, Krichmar JL. (2020) Sparse Representations for Object- and Ego-Motion Estimations in Dynamic Scenes. Ieee Transactions On Neural Networks and Learning Systems
Zou X, Kolouri S, Pilly PK, et al. (2020) Neuromodulated attention and goal-driven perception in uncertain domains. Neural Networks : the Official Journal of the International Neural Network Society. 125: 56-69
Belkaid M, Krichmar JL. (2020) Modeling uncertainty-seeking behavior mediated by cholinergic influence on dopamine. Neural Networks : the Official Journal of the International Neural Network Society. 125: 10-18
Balaji A, Catthoor F, Das A, et al. (2020) Mapping Spiking Neural Networks to Neuromorphic Hardware Ieee Transactions On Very Large Scale Integration (Vlsi) Systems. 28: 76-86
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