Jeff Krichmar
Jeff Krichmar
Professor of Cognitive Sciences, Professor of Computer Science, University of California, Irvine
Verified email at - Homepage
Cited by
Cited by
A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors
JM Nageswaran, N Dutt, JL Krichmar, A Nicolau, AV Veidenbaum
Neural networks 22 (5-6), 791-800, 2009
Effects of dendritic morphology on CA3 pyramidal cell electrophysiology: a simulation study
JL Krichmar, SJ Nasuto, R Scorcioni, SD Washington, GA Ascoli
Brain research 941 (1-2), 11-28, 2002
L-Neuron: a modeling tool for the efficient generation and parsimonious description of dendritic morphology
GA Ascoli, JL Krichmar
Neurocomputing 32, 1003-1011, 2000
Oculomotor impairment during chronic partial sleep deprivation
M Russo, M Thomas, D Thorne, H Sing, D Redmond, L Rowland, ...
Clinical Neurophysiology 114 (4), 723-736, 2003
Spatial navigation and causal analysis in a brain-based device modeling cortical-hippocampal interactions
JL Krichmar, AK Seth, DA Nitz, JG Fleischer, GM Edelman
Neuroinformatics 3, 197-221, 2005
Machine psychology: autonomous behavior, perceptual categorization and conditioning in a brain-based device
JL Krichmar, GM Edelman
Cerebral Cortex 12 (8), 818-830, 2002
Neuromodulatory systems and their interactions: a review of models, theories, and experiments
MC Avery, JL Krichmar
Frontiers in neural circuits, 108, 2017
Generation, description and storage of dendritic morphology data
GA Ascoli, JL Krichmar, SJ Nasuto, SL Senft
Philosophical Transactions of the Royal Society of London. Series B …, 2001
The neuromodulatory system: a framework for survival and adaptive behavior in a challenging world
JL Krichmar
Adaptive Behavior 16 (6), 385-399, 2008
Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule
M Beyeler, ND Dutt, JL Krichmar
Neural Networks 48, 109-124, 2013
Efficient simulation of large-scale spiking neural networks using CUDA graphics processors
JM Nageswaran, N Dutt, JL Krichmar, A Nicolau, A Veidenbaum
2009 International Joint Conference on Neural Networks, 2145-2152, 2009
Computer generation and quantitative morphometric analysis of virtual neurons
GA Ascoli, JL Krichmar, R Scorcioni, SJ Nasuto, SL Senft, GL Krichmar
Anatomy and Embryology 204, 283-301, 2001
Brain-based devices for the study of nervous systems and the development of intelligent machines
JL Krichmar, GM Edelman
Artificial Life 11 (1-2), 63-77, 2005
A proposal for a decade of the mind initiative
JS Albus, GA Bekey, JH Holland, NG Kanwisher, JL Krichmar, M Mishkin, ...
Science 317 (5843), 1321, 2007
Visual binding through reentrant connectivity and dynamic synchronization in a brain-based device
AK Seth, JL McKinstry, GM Edelman, JL Krichmar
Cerebral Cortex 14 (11), 1185-1199, 2004
Characterizing functional hippocampal pathways in a brain-based device as it solves a spatial memory task
JL Krichmar, DA Nitz, JA Gally, GM Edelman
Proceedings of the National Academy of Sciences 102 (6), 2111-2116, 2005
Oculomotor responses during partial and total sleep deprivation
LM Rowland, ML Thomas, DR Thorne, HC Sing, JL Krichmar, HQ Davis, ...
Aviation, space, and environmental medicine 76 (7), C104-C113, 2005
A cerebellar model for predictive motor control tested in a brain-based device
JL McKinstry, GM Edelman, JL Krichmar
Proceedings of the National Academy of Sciences 103 (9), 3387-3392, 2006
Mapping spiking neural networks to neuromorphic hardware
A Balaji, A Das, Y Wu, K Huynh, FG Dell’Anna, G Indiveri, JL Krichmar, ...
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 28 (1), 76-86, 2019
Hybrid control device
JG Fleischer, B Szatmáry, DB Hutson, DA Moore, JA Snook, GM Edelman, ...
US Patent 8,583,286, 2013
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