Title :
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
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;
Conference_Titel :
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-3548-7
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2009.5178769
