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» Predictive Hebbian Learning
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BC
2002
193views more  BC 2002»
13 years 9 months ago
Resonant spatiotemporal learning in large random recurrent networks
Taking a global analogy with the structure of perceptual biological systems, we present a system composed of two layers of real-valued sigmoidal neurons. The primary layer receives...
Emmanuel Daucé, Mathias Quoy, Bernard Doyon
CDVE
2004
Springer
120views Visualization» more  CDVE 2004»
14 years 3 months ago
Constructing a Global and Integral Model of Business Management Using a CBR System
Abstract. Knowledge has become the most strategic resource in the new business environment. A case-based reasoning system, which incorporates a novel clustering and retrieval metho...
Emilio Corchado, Juan M. Corchado, Lourdes S&aacut...
IJCNN
2006
IEEE
14 years 3 months ago
Learning using Dynamical Regime Identification and Synchronization
—This study proposes to generalize Hebbian learning by identifying and synchronizing the dynamical regimes of individual nodes in a recurrent network. The connection weights are ...
Nicolas Brodu
ESANN
2008
13 years 11 months ago
Computational model for amygdala neural networks
We present a computational model of amygdala neural networks. It is used to simulate neuronal activation in amygdala nuclei at different stages of aversive conditioning experiments...
Jean Marc Salotti
ICML
2009
IEEE
13 years 7 months ago
Learning prediction suffix trees with Winnow
Nikolaos Karampatziakis, Dexter Kozen