An algorithm of selective perception and analysis of environmental information by a neural network under the influence of inner afferentation

An algorithm of selective perception and analysis of environmental information by a neural network under the influence of inner afferentation

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.< >

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Bibliographische Detailangaben
Hauptverfasser: Sukhov, A.G., Rabinovich, Z.L.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Algorithm design and analysis
Animals
Automatic control
Biology
Convergence
Cybernetics
Information analysis
Neural networks
Neurons
Organisms
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Beschreibung
Zusammenfassung: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.< >
DOI:10.1109/RNNS.1992.268622