Title :
The spatio-temporal encoding of the information by the neurons of the frog´s `visual brain´ and model representations of the multiparameters analysis of the features of the visual stimuli by the neural networks
Author :
Aleynikova, T.V. ; Koshlikova, N.A.
Author_Institution :
Rostov State Univ., Russia
Abstract :
Information encoding and processing in different parts of the frog visual cortex have been investigated. Experiments were performed on frogs (Rana ridibunda) immobilized with tubocurarine (after prior local injections of novocaine). Impulse activity was recorded extracellularly from retinal ganglion cells and from neurons of mesencephalon (tectum and tegmentum), of diencephalon (nucleus posterior thalmi and Bellonci nucleus) and of telencephalon (primordial hippocampus). The following types of visual stimuli were used: diffuse illumination, stationary and moving light, and dark spots and bars. It has been revealed that neurons in the visual cortex transfer information using various possible codes: positional coding by indicator lines, various modifications of temporal codes, and ensemble coding. The experimental results have made it possible to propose models of central neuronal networks. These models may be constructed on the basis of both narrowband and wideband retinal inputs, or only on the basis of wideband inputs
Keywords :
brain; brain models; encoding; neural nets; neurophysiology; vision; Bellonci nucleus; Rana ridibunda; bars; brain; central neuronal networks; dark spots; diencephalon; diffuse illumination; ensemble coding; extracellular recording; frog; impulse activity; indicator lines; mesencephalon; model representations; moving light; multiparameter analysis; narrowband retinal inputs; neural networks; neurons; novocaine; nucleus posterior thalmi; positional coding; primordial hippocampus; retinal ganglion cells; spatiotemporal information encoding; stationary light; tectum; tegmentum; telencephalon; temporal codes; tubocurarine; visual cortex; visual stimuli; wideband retinal inputs; Bars; Biological neural networks; Brain modeling; Encoding; Hippocampus; Lighting; Narrowband; Neurons; Retina; Wideband;
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.1992.268653