Cerebral asymmetry and neurocomputing

Author

Shaprio, D.

Author_Institution

Inst. for Comput. Technol. & Inf., Moscow

fYear

1992

Firstpage

750

Abstract

New results in the area of cerebral asymmetry and neurocomputing are presented. The characteristics of the world are represented to the subject by means of formal metatext (the input pattern), which contains certain and uncertain knowledge. In the meaning-text-meaning procedure, two types of problem regarding the perception and understanding of text are addressed. The first type contains both certain and uncertain knowledge, which is represented by means of grammatical constructions, numerical data, etc. and reduced to the form of situational parameters. The other type contains uncertain knowledge which is represented by means of gestalts, so that text is processed as multisignificant images. Consideration is also given to the right hemisphere activity of formalization (D. Shapiro, 1991), based on the plurality of interconnections of multisignificant images

Keywords

brain models; grammars; natural languages; neural nets; uncertainty handling; cerebral asymmetry; certain knowledge; formal metatext; formalization; gestalts; grammatical constructions; input pattern; interconnection plurality; meaning-text-meaning procedure; multisignificant images; neurocomputing; numerical data; perception; right hemisphere activity; situational parameters; uncertain knowledge; understanding; Computer architecture; Man machine systems; Organizing; Parallel processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Neuroinformatics and Neurocomputers, 1992., RNNS/IEEE Symposium on

Conference_Location

Rostov-on-Don

Print_ISBN

0-7803-0809-3

Type

conf

DOI

10.1109/RNNS.1992.268644

Filename

268644