Temporal semantics: an extended definition for neural morphisms

Authors:
Michael J. Healy;Thomas P. Caudell
Affiliations:
Department of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, New Mexico;Department of Electrical and Computer Engineering and Department of Computer Science, The University of New Mexico, Albuquerque, New Mexico
Venue:
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Year:
2009

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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.