Title :
An algorithm of selective perception and analysis of environmental information by a neural network under the influence of inner afferentation
Author :
Sukhov, A.G. ; Rabinovich, Z.L.
Author_Institution :
A.B. Kogan Res. Inst. for Neurocybern., Rostov State Univ., Russia
Abstract :
The concept of a two-level (cortical and subcortical) four-step algorithm underlying the process of conditional learning has been developed. This algorithm makes use of both the ascending afferent pathways to the cortex and the reverse corticofugal influence on subcortical structures
Keywords :
brain models; information analysis; neural nets; visual perception; 2-level 4-step algorithm; ascending afferent pathways; conditional learning; cortex; cortical level; environmental information analysis; inner afferentation; neural network; reverse corticofugal influence; selective perception; subcortical level; Algorithm design and analysis; Animals; Automatic control; Biology; Convergence; Cybernetics; Information analysis; Neural networks; Neurons; Organisms;
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.1992.268622
