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» Modeling self-developing biological neural networks
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ICANN
2003
Springer
13 years 12 months ago
The Spike Response Model: A Framework to Predict Neuronal Spike Trains
We propose a simple method to map a generic threshold model, namely the Spike Response Model, to artificial data of neuronal activity using a minimal amount of a priori informatio...
Renaud Jolivet, Timothy J. Lewis, Wulfram Gerstner
NN
2008
Springer
163views Neural Networks» more  NN 2008»
13 years 6 months ago
Central pattern generators for locomotion control in animals and robots: A review
The problem of controlling locomotion is an area in which neuroscience and robotics can fruitfully interact. In this article, I will review research carried out on locomotor centr...
Auke Jan Ijspeert
FPT
2005
IEEE
132views Hardware» more  FPT 2005»
14 years 10 days ago
Implementation of Gabor-Type Filters on Field Programmable Gate Arrays
Although biological visual systems have been widely studied at the physiological, psychophysical and functional levels, our understanding of its signal processing mechanisms is st...
Ocean Y. H. Cheung, Philip Heng Wai Leong, Eric K....
ANOR
2010
139views more  ANOR 2010»
13 years 5 months ago
Some operations research methods for analyzing protein sequences and structures
Operations Research is probably one of the most successful fields of applied mathematics used in Economics, Physics, Chemistry, almost everywhere onehastoanalyzehugeamountsofdata.L...
Piotr Lukasiak, Jacek Blazewicz, Maciej Milostan
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
13 years 10 months ago
The baldwin effect in developing neural networks
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
Keith L. Downing