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.
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
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⟩