Power-law scaling of synchronization robustly reproduced in the hippocampal CA3 slice culture model with small-world topology

Toshikazu Samura, Yasuomi D. Sato, Yuji Ikegaya, Hatsuo Hayashi, Takeshi Aihara

研究成果: Conference contribution

抄録

The hippocampal CA3 is a recurrent network included small-world topology. The percentage of co-active neurons in CA3 slice cultures is approximated by power-law. We show that the power-law scaling of synchronization is reproduced in the CA3 slice culture model where synaptic weights are log-normally distributed and balanced excitation/inhibition regardless of network topologies. However, small-world topology improves the robustness of the reproduction of the power-law scaling in the culture model. Power-law scaling is known as a sign of optimization of a network for information processing. These results suggest that CA3 may be robustly optimized for information processing by excitation/inhibition balance, log-normally distributed synaptic weights and small-world topology.

本文言語English
ホスト出版物のタイトルNeural Information Processing - 19th International Conference, ICONIP 2012, Proceedings
ページ152-159
ページ数8
PART 2
DOI
出版ステータスPublished - 2012 11 19
イベント19th International Conference on Neural Information Processing, ICONIP 2012 - Doha, Qatar
継続期間: 2012 11 122012 11 15

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 2
7664 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other19th International Conference on Neural Information Processing, ICONIP 2012
国/地域Qatar
CityDoha
Period12/11/1212/11/15

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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