Title :
Working memories for storage and recall of arbitrary temporal sequences
Author :
Bradski, Gary ; Carpenter, Gail A. ; Grossberg, Stephen
Author_Institution :
Boston Univ., MA, USA
Abstract :
A working memory model is described that is capable of storing and recalling arbitrary temporal sequences of events, including repeated items. These memories encode the invariant temporal order of sequential events that may be presented at widely differing speeds, durations, and interstimulus intervals. This temporal order code is designed to enable all possible groupings of sequential events to be stably learned and remembered in real time, even as new events perturb the system
Keywords :
content-addressable storage; neural nets; psychology; arbitrary temporal sequences; repeated items; sequential events; stably learned; working memory model; Adaptive systems; Databases; Equations; Object recognition; Real time systems; Shape; Timing;
Conference_Titel :
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-0559-0
DOI :
10.1109/IJCNN.1992.226984
