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Specialization within cortical models : An application to causality learning

Hervé Frezza-Buet 1 Frédéric Alexandre 1
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper we present the principle of learning by specialization within a cortically-inspired framework. Specialization of neurons in the cortex has been observed, and many models are using such "cortical-like" learning mechanisms, adapted for computational efficiency. Adaptations will be discussed, in light of experiments with our cortical model addressing causality learning from perceptive sequences.
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https://hal.inria.fr/inria-00098766
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Submitted on : Tuesday, September 26, 2006 - 8:34:17 AM
Last modification on : Friday, February 26, 2021 - 3:28:03 PM
Long-term archiving on: : Wednesday, March 29, 2017 - 12:38:44 PM

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  • HAL Id : inria-00098766, version 1

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Hervé Frezza-Buet, Frédéric Alexandre. Specialization within cortical models : An application to causality learning. 7th European Symposium on Artificial Neural Networks - ESANN'99, Apr 1999, Bruges, Belgium, 6 p. ⟨inria-00098766⟩

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