title: A model of a neuronal network for detection of single bands and cross-like figures.
abstract: A model of a neuronal network is presented which, like a significant proportion of the neurons in the visual cortex, identifies not only the orientation of a single band, but also high selective sensitivity to cross-like figures. The model was used to study the properties of a "cross detector" constructed on the basis of convergence of excitatory connections with different weightings from elements with different orientational tuning. It is shown that a cross detector with monomodal orientational tuning needs an amplifier mechanism (a reverberator).
authors.affiliation: Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow.
authors.forename: K A
authors.initials: KA
authors.lastname: Saltykov
authors.forename: I A
authors.initials: IA
authors.lastname: Shevelev
mesh_terms: D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology*; D010775:Photic Stimulation; D014793:Visual Cortex / Q000502:physiology*; D014796:Visual Perception / Q000502:physiology*