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).
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Translated from Zhurnal Vysshei Nervnoi Deyatel'nosti imeni I. P. Pavlova, Vol. 48, No. 3, pp. 524–533, May–June, 1998.
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Saltykov, K.A., Shevelev, I.A. A model of a neuronal network for detection of single bands and cross-like figures. Neurosci Behav Physiol 29, 385–392 (1999). https://doi.org/10.1007/BF02461073
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DOI: https://doi.org/10.1007/BF02461073