Associative processor with memory based on neuron-like elements capable of temporal summation of input signals: processor for structural processing of information

Author

Kharlamov, A. ; Raevsky, V.

Author_Institution

Inst. of Higher Nervous Activity & Neurophysiol., Acad. of Sci., Moscow, Russia

Volume

4

fYear

2002

fDate

18-22 Nov. 2002

Firstpage

1723

Abstract

In the report a model of associative processor with memory (APM) is considered. APM is a structural unit of the network consisting of neuron-like elements (NE) with temporal summation of input signals. APM realizes associative mapping of input information into signal space. This representation preserves the topology of perceptual space. On the basis of APM it is possible to build hierarchical structure for structural processing of the information.

Keywords

associative processing; content-addressable storage; data structures; neural nets; signal processing; APM; associative processor; hierarchical structure; input signal temporal summation; neural memory; neuron-like elements; perceptual space topology preservation; structural information processor; Analytical models; Image recognition; Mathematical model; Mathematics; Network topology; Neurons; Neurophysiology; Registers; Signal mapping; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on

Print_ISBN

981-04-7524-1

Type

conf

DOI

10.1109/ICONIP.2002.1198970

Filename

1198970