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
Neuromodulatory systems and their interactions: a review of models, theories, and experiments
MC Avery, JL Krichmar
Frontiers in neural circuits, 108, 2017
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
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
CARLsim 4: An open source library for large scale, biologically detailed spiking neural network simulation using heterogeneous clusters
TS Chou, HJ Kashyap, J Xing, S Listopad, EL Rounds, M Beyeler, N Dutt, ...
2018 International joint conference on neural networks (IJCNN), 1-8, 2018
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
The system can't perform the operation now. Try again later.
Articles 1–20