[2S09m] インビトロからインシリコへ：神経回路研究の階層超越的アプローチ

9:35 〜 9:55

[2S09m-03] Biologically inspired approach to training recurrent spiking neural networks

*Davide Noè^1,2, Hideaki Yamamoto^1,2, Yuichi Katori^3,4, Shigeo Sato^1,2 (1. Research Institute of Electrical Communication, Tohoku University, 2. Graduate School of Engineering, Tohoku University, 3. School of Systems Information Science, Future University Hakodate, 4. International Research Center for Neurointelligence, The University of Tokyo)

キーワード：

Spiking neural networks、Biologically plausible learning、Eligibililty propagation、Computational neuroscience、Predictive coding

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