Ergodic sequential logic spiking neural network: reproductions of biologically plausible spatio-temporal phenomena and low-power implementation towards neural prosthesis
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- Shiomi Yuta
- Graduate School of Science and Engineering, Hosei University
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- Torikai Hiroyuki
- Graduate School of Science and Engineering, Hosei University
抄録
<p>A spiking neural network of ergodic sequential logic neuron models is presented. It is shown that the presented network is capable of reproducing various biologically plausible spatio-temporal phenomena (e.g., basic synchronization and complicated chimera phenomenon) observed in the brain. Moreover, it is revealed that the presented network is able to operate with lower power compared to a standard digital-processor-based spiking neural network. It is then discussed that the presented network will be a useful building block in a brain prosthetic device.</p>
収録刊行物
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- IEICE Electronics Express
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IEICE Electronics Express 21 (8), 20240095-20240095, 2024-04-25
一般社団法人 電子情報通信学会
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詳細情報 詳細情報について
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- CRID
- 1390299926126119552
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- ISSN
- 13492543
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
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- 抄録ライセンスフラグ
- 使用不可