Temporal semantics: An extended definition for neural morphisms

Author

Healy, Michael J. ; Caudell, Thomas P.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of New Mexico, Albuquerque, NM, USA

fYear

2009

fDate

14-19 June 2009

Firstpage

1184

Lastpage

1191

Abstract

A category-theoretic account of neural network semantics has been used to characterize concept representation in neural memory. This involves categories of objects and morphisms representing the activity in connectionist structures at different stages of weight adaptation. The definition used in this previous work for the notion of a neural morphism does not allow temporal memories to be retrieved stepwise as event sequences-all events must be retrieved simultaneously. An extended definition is proposed that enables episodic information to be retrieved in time sequence.

Keywords

information retrieval; knowledge representation; neural nets; episodic information retrieval; knowledge representation; neural memory representation; neural morphisms; neural network semantic; temporal semantics; time sequence; weight adaptation; Adaptive arrays; Computer networks; Computer science; Distributed computing; Information retrieval; Knowledge representation; Logic; Neural networks; Power system modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2009. IJCNN 2009. International Joint Conference on

Conference_Location

Atlanta, GA

ISSN

1098-7576

Print_ISBN

978-1-4244-3548-7

Electronic_ISBN

1098-7576

Type

conf

DOI

10.1109/IJCNN.2009.5178769

Filename

5178769