J
Jeffrey L. Krichmar
Researcher at University of California, Irvine
Publications - 182
Citations - 5783
Jeffrey L. Krichmar is an academic researcher from University of California, Irvine. The author has contributed to research in topics: Spiking neural network & Neuromorphic engineering. The author has an hindex of 35, co-authored 169 publications receiving 4981 citations. Previous affiliations of Jeffrey L. Krichmar include George Mason University & Krasnow Institute for Advanced Study.
Papers
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Journal ArticleDOI
Evolutionary robotics: The biology, intelligence, and technology of self‐organizing machines
TL;DR: A new book enPDFd evolutionary robotics the biology intelligence and technology of self organizing machines intelligent robotics and autonomous agents series to read.
Proceedings Article
A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors
Jayram Moorkanikara Nageswaran,Nikil Dutt,Jeffrey L. Krichmar,Alexandru Nicolau,Alexander V. Veidenbaum +4 more
TL;DR: This paper demonstrates an efficient, biologically realistic, large-scale SNN simulator that runs on a single GPU, and presents a collection of new techniques related to parallelism extraction, mapping of irregular communication, and network representation for effective simulation of SNNs on GPUs.
Journal ArticleDOI
Effects of dendritic morphology on CA3 pyramidal cell electrophysiology: a simulation study
Jeffrey L. Krichmar,Slawomir J. Nasuto,Slawomir J. Nasuto,Ruggero Scorcioni,Stuart D. Washington,Giorgio A. Ascoli,Giorgio A. Ascoli +6 more
TL;DR: It is reported for the first time that differences in dendritic structure within the same morphological class can have a dramatic influence on the firing rate and firing mode (spiking versus bursting and type of bursting).
Journal ArticleDOI
2009 Special Issue: A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors
Jayram Moorkanikara Nageswaran,Nikil Dutt,Jeffrey L. Krichmar,Alex Nicolau,Alexander V. Veidenbaum +4 more
TL;DR: In this article, the authors demonstrate an efficient, biologically realistic, large-scale SNN simulator that runs on a single GPU, which includes Izhikevich spiking neurons, detailed models of synaptic plasticity and variable axonal delay.
Journal ArticleDOI
The Neuromodulatory System: A Framework for Survival and Adaptive Behavior in a Challenging World
TL;DR: It is proposed that principles of the neuromodulatory system could provide a framework for controlling artificial agents that may improve current artificial agent behavior.