title: [Associative learning in a neuromimetic network with local competitions].
abstract: Presented here is a neuromimetic model for the learning of associations between activity patterns originating from recoding layers. These layers are described as networks of cellular clusters made up of competitive formal neurons. A rule of synaptic plasticity with improved neurobiological realism is proposed; it allows for fast learning of large sets of associations.
authors.affiliation: Laboratoire de Psychologie expérimentale, C.N.R.S.-U.R.A. n. 665, Université de Grenoble-II.
authors.forename: B
authors.initials: B
authors.lastname: Ans
mesh_terms: D001245:Association Learning; D006801:Humans; D007858:Learning; D008959:Models, Neurological; D009446:Neurobiology
vernacular_title: Apprentissage associatif dans un réseau neuromimétique à compétitions locales.