Modeling and investigation of some spatio-temporal aspects of visual information processing in the retinal neural network

Alain Faure; Ilya A. Rybak; Natalia A. Shevtsova; Alexander V. Golovan; Olga Cachard; Valentina I. Gusakova; Lubov N. Podladchikova; Arkadi A. Klepatch

doi:10.1117/12.195588

7 December 1994 Modeling and investigation of some spatio-temporal aspects of visual information processing in the retinal neural network

Alain Faure, Ilya A. Rybak, Natalia A. Shevtsova, Alexander V. Golovan, Olga Cachard, Valentina I. Gusakova, Lubov N. Podladchikova, Arkadi A. Klepatch

Author Affiliations +

Proceedings Volume 2430, Optical Memory & Neural Networks '94: Optical Neural Networks; (1994) https://doi.org/10.1117/12.195588
Event: Optical Memory and Neural Networks: International Conference, 1994, Moscow, Russian Federation

Abstract

A simplified retinal neural network (RNN) model has been considered. The main properties of this model are as follows: (1) primary transform of input raster simulates a decrease of resolution from the fovea to the retinal periphery; (2) the RNN consists of two layers, i.e., excitatory and inhibitory ones, each of them being formed by elements with identical properties excluding input transform; (3) each element of the excitatory layer is inhibited by the retinotopically corresponding element of the inhibitory layer; and (4) receptive field size and time constant of inhibitory neurons are more than those of excitatory ones. Two versions of the RNN differing in several aspects from each other were developed. In the first model the Gauss transform was used as a primary transform of the input raster. In addition, a wide range of the RNN and visual stimulus parameters was tested by computer simulation. The primary transform in the second model was performed by brightness averaging on neuron receptive fields. In the last case, qualitative behavior of the RNN was studied analytically. It was shown that neuron dynamics in response to moving stimuli and the preferable velocity of motion depended on neuron position in the RNN. In particular, foveal neurons were tuned to lower velocity as compared with peripheral ones.

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Alain Faure, Ilya A. Rybak, Natalia A. Shevtsova, Alexander V. Golovan, Olga Cachard, Valentina I. Gusakova, Lubov N. Podladchikova, and Arkadi A. Klepatch "Modeling and investigation of some spatio-temporal aspects of visual information processing in the retinal neural network", Proc. SPIE 2430, Optical Memory & Neural Networks '94: Optical Neural Networks, (7 December 1994); https://doi.org/10.1117/12.195588

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KEYWORDS

Neurons

Neural networks

Visualization

Visual process modeling

Chemical elements

Sensors

Raster graphics

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