Dynamical Recollection and Storage of Video Images via MCNN and SOM-Reference-Cited by-同舟云学术

Dynamical Recollection and Storage of Video Images via MCNN and SOM

Published:2015 Issue:4 Volume:135 Page:414-422
ISSN:0385-4221
Container-title:IEEJ Transactions on Electronics, Information and Systems
language:en
Short-container-title:IEEJ Trans.EIS

Author:

Watanabe Shun¹,Kuremoto Takashi¹,Kobayashi Kunikazu²,Mabu Shingo¹,Obayashi Masanao¹

Affiliation:

1. Graduate School of Science and Engineering, Yamaguchi University

2. School of Information Science and Techonology, Aichi Prefectural University

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering

Link

https://www.jstage.jst.go.jp/article/ieejeiss/135/4/135_414/_pdf

Reference20 articles.

1. (1) J. J. Hopfield: “Neurons with graded response have collective computational properties like those of two-state neurons”, Proceedings of the National Academy of Sciences, Vol. 81, No. 10, pp. 3088-3092 (1984)

2. (2) M. Adachi and K. Aihara: “Associative dynamics in a chaotic neural network”, Neural Networks, Vol. 10, No. 1, pp. 83-98 (1997)

3. (3) T. Kuremoto, T. Eto, M. Obayashi, and K. Kobayashi: “A multilayered chaotic neural network for associative memory”, Proceedings of SICE Annual Conference, pp. 1020-1023 (2005)

4. (4) T. Kuremoto, T. Eto, K. Kobayashi, and M. Obayashi: “A chaotic model of hippocampus-neocortex”, In: L. Wang, K. Chen, and Y. S. Ong (eds.) Advances in Natural Computation, Lecture Notes in Computer Science, Vol. 3610, pp. 439-448, Springer (2005)

5. (5) T. Kuremoto, T. Eto, K. Kobayashi, and M. Obayashi: “A hippocampus-neocortex model for chaotic association”, In: K. Chen, and L. Wang (eds.) Trends in Neural Computation, Studies in Computational Intelligence, Vol. 35, pp. 111-133, Springer (2007)