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» On the Simulation of Large Populations of Neurons
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ICASSP
2011
IEEE
12 years 11 months ago
Iterative PCA for population structure analysis
An extension of principal component analysis called ipPCA has been proposed earlier for analyzing structure in genetic data. This non-parametric framework iteratively classifies ...
Tulaya Limpiti, Apichart Intarapanich, Anunchai As...
WSC
2008
13 years 10 months ago
Models of a predator-prey relationship in a closed habitat
The ecological study of the wolf and moose populations of Isle Royale National Park (USA) is the longest running large mammal predator/prey study in the world. A discrete event si...
Charles E. Knadler Jr.
MONET
2008
85views more  MONET 2008»
13 years 7 months ago
Population Adaptation for Genetic Algorithm-based Cognitive Radios
Genetic algorithms are best suited for optimization problems involving large search spaces. The problem space encountered when optimizing the transmission parameters of an agile or...
Timothy R. Newman, Rakesh Rajbanshi, Alexander M. ...
JCNS
2010
100views more  JCNS 2010»
13 years 6 months ago
Morphologically accurate reduced order modeling of spiking neurons
Accurately simulating neurons with realistic morphological structure and synaptic inputs requires the solution of large systems of nonlinear ordinary differential equations. We ap...
Anthony R. Kellems, Saifon Chaturantabut, Danny C....
MSWIM
2003
ACM
14 years 1 months ago
Simulation of large ad hoc networks
An ad hoc network is formed by wireless mobile nodes (hosts) that operate as terminals as well as routers in the network, without any centralized administration. Research in ad ho...
Valeriy Naoumov, Thomas R. Gross