Theory of Interaction of Memory Patterns in Layered Associative Networks(Cross-disciplinary physics and related areas of science and technology)
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概要
- 論文の詳細を見る
A synfire chain is a network that can generate repeated spike patterns with millisecond precision. Although synfire chains with only one activity propagation mode have been intensively analyzed with several neuron models, those with several stable propagation modes have not been thoroughly investigated. By using the leaky integrate-and-fire neuron model, we constructed a layered associative network embedded with memory patterns. We analyzed the network dynamics with the Fokker-Planck equation. First, we addressed the stability of one memory pattern as a propagating spike volley. We showed that memory patterns propagate as pulse packets. Second, we investigated the activity when we activated two different memory patterns. Simultaneous activation of two memory patterns with the same strength led the propagating pattern to a mixed state. In contrast, when the activations had different strengths, the pulse packet converged to a two-peak state. Finally, we studied the effect of the preceding pulse packet on the following pulse packet. The following pulse packet was modified from its original activated memory pattern, and it converged to a two-peak state, mixed state or non-spike state depending on the time interval.
- 社団法人日本物理学会の論文
- 2006-11-15
著者
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OKADA Masato
Department of Complexity Science and Engineering, Graduate School of Frontier Sciences, The Universi
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Ishibashi Kazuya
Department of Cardiology, Kyoto Prefectural Yosanoumi Hospital
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Hamaguchi Kosuke
Brain Science Institute
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Ishibashi Kazuya
Department Of Cardiology Kyoto Prefectural Yosanoumi Hospital
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Ishibashi Kazuya
Department Of Complexity Science And Engineering Graduate School Of Frontier Sciences The University
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Okada Masato
Department Of Complexity Science And Engineering Graduate School Of Frontier Sciences The University
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Okada Masato
Department Of Bioscience Tokyo University Of Agriculture
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