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 | 278 | 2009 |
Neuromodulatory systems and their interactions: a review of models, theories, and experiments MC Avery, JL Krichmar Frontiers in neural circuits 11, 108, 2017 | 209 | 2017 |
Biological underpinnings for lifelong learning machines D Kudithipudi, M Aguilar-Simon, J Babb, M Bazhenov, D Blackiston, ... Nature Machine Intelligence 4 (3), 196-210, 2022 | 192 | 2022 |
L-Neuron: a modeling tool for the efficient generation and parsimonious description of dendritic morphology GA Ascoli, JL Krichmar Neurocomputing 32, 1003-1011, 2000 | 178 | 2000 |
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 | 176 | 2002 |
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 | 161 | 2003 |
Machine psychology: autonomous behavior, perceptual categorization and conditioning in a brain-based device JL Krichmar, GM Edelman Cerebral Cortex 12 (8), 818-830, 2002 | 160 | 2002 |
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 | 159 | 2005 |
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 | 157 | 2001 |
The neuromodulatory system: a framework for survival and adaptive behavior in a challenging world JL Krichmar Adaptive Behavior 16 (6), 385-399, 2008 | 153 | 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 | 144 | 2013 |
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 | 139 | 2019 |
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 | 133 | 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 | 120 | 2001 |
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 | 116 | 2018 |
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 | 114 | 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), 1321-1321, 2007 | 110 | 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 | 110 | 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 | 109 | 2005 |
Neural correlates of sparse coding and dimensionality reduction M Beyeler, EL Rounds, KD Carlson, N Dutt, JL Krichmar PLoS computational biology 15 (6), e1006908, 2019 | 103 | 2019 |