title: [Vector coding and neuronal maps].
abstract: The model of vector coding is proposed. The excitation vector generated in a neuronal ensemble simultaneously acts on a map of selective detectors (selectors) producing a local excitation maximum that represents the input stimulus. Vector coding is suggested also to explain associative learning and memory. The output responses in the model are specified by excitation vectors triggered by the command neurons in the ensembles of premotor neurons.
authors.forename: E N
authors.initials: EN
authors.lastname: Sokolov
mesh_terms: D000818:Animals; D001245:Association Learning / Q000502:physiology; D006801:Humans; D008568:Memory / Q000502:physiology; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology; D009474:Neurons / Q000502:physiology*; D011984:Sensory Receptor Cells / Q000502:physiology; D013569:Synapses / Q000502:physiology
vernacular_title: Vektornoe kodirovanie i neĭronnye karty.