Title :
Neural network modeling in studying neuron mechanisms of visual perception
Author :
Rybak, I.A. ; Podladchikova, L.N. ; Shevtsova, N.A. ; Golovan, A.V. ; Gusakova, V.I. ; andler, V.M.
Author_Institution :
A.B. Kogan Res. Inst. for Neurocybern., Rostov State Univ., Russia
Abstract :
An investigation including the development of realistic neural network models, computer experiments, and verification of their predictions in neurophysiological experiments made it possible to obtain a set of principally new facts on spatial and temporal dynamics of VC (visual cortex) neurons OS (orientation selectivity) and to develop a method of parallel-sequential processing of images. Attention was given to the temporal dynamics of the OS of the VC neurons, the spatial dynamics of the OS, and neural mechanisms of context description of visual object elements. Conformity of results of computer simulations and neurophysiological experiments supports the conceptual model of the iso-orientation domain described. The data obtained can be considered as an additional arguments in favor of the hypothesis that anisotropy of lateral inhibitory connections in the VC is one of the main mechanisms of formation of OS
Keywords :
neural nets; neurophysiology; physiological models; visual perception; neural network models; neuron mechanisms; neurophysiology; orientation selectivity; parallel-sequential processing; physiological models; spatial dynamics; temporal dynamics; visual cortex; visual perception; Anisotropic magnetoresistance; Brain modeling; Computer networks; Computer simulation; Concurrent computing; Neural networks; Neurons; Operating systems; Predictive models; Virtual colonoscopy;
Conference_Titel :
Neuroinformatics and Neurocomputers, 1992., RNNS/IEEE Symposium on
Conference_Location :
Rostov-on-Don
Print_ISBN :
0-7803-0809-3
DOI :
10.1109/RNNS.1992.268555
