Abstract
Episodic Associative Memory (EAM) is introduced and simulated. It uses Quick Learning for Bidirectional Associative Memory (QLBAM) and Pseudo-Noise (PN) sequences. The features of the proposed EAM are: 1) it can memorize and recall episodic associations; 2) it can store plural episodes; 3) it has high memory capacity.
| Original language | English |
|---|---|
| Pages | 1062-1067 |
| Number of pages | 6 |
| Publication status | Published - 1994 Dec 1 |
| Event | Proceedings of the 1994 IEEE International Conference on Neural Networks. Part 1 (of 7) - Orlando, FL, USA Duration: 1994 Jun 27 → 1994 Jun 29 |
Other
| Other | Proceedings of the 1994 IEEE International Conference on Neural Networks. Part 1 (of 7) |
|---|---|
| City | Orlando, FL, USA |
| Period | 94/6/27 → 94/6/29 |
ASJC Scopus subject areas
- Software