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» Reducing connectivity by using cortical modular bands
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ESANN
2004
13 years 5 months ago
Reducing connectivity by using cortical modular bands
The way information is represented and processed in a neural network may have important consequences on its computational power and complexity. Basically, information representatio...
Julien Vitay, Nicolas P. Rougier, Fréd&eacu...
ISBI
2008
IEEE
14 years 4 months ago
Connectivity-based parcellation of the cortical surface using q-ball imaging
This work exploits the idea that each individual brain region has a specific connection profile to create parcellations of the cortical surface using MR diffusion imaging. The par...
Cyril Poupon, Denis Rivière, Jean-Francois ...
NN
2006
Springer
126views Neural Networks» more  NN 2006»
13 years 3 months ago
Selective attention through phase relationship of excitatory and inhibitory input synchrony in a model cortical neuron
Neurons in area V 2 and V 4 exhibit stimulus specific tuning to single stimuli, and respond at intermediate firing rates when presented with two differentially preferred stimuli (...
Jyoti Mishra, Jean-Marc Fellous, Terrence J. Sejno...
IJON
2002
72views more  IJON 2002»
13 years 3 months ago
Modeling large cortical networks with growing self-organizing maps
Self-organizing computational models with specific intracortical connections can explain many features of visual cortex. However, due to their computation and memory requirements,...
James A. Bednar, Amol Kelkar, Risto Miikkulainen
BMCBI
2007
136views more  BMCBI 2007»
13 years 3 months ago
Reduced modeling of signal transduction - a modular approach
Background: Combinatorial complexity is a challenging problem in detailed and mechanistic mathematical modeling of signal transduction. This subject has been discussed intensively...
Markus Koschorreck, Holger Conzelmann, Sybille Ebe...