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A lightweight data-driven spiking neural network model of Drosophila olfactory nervous system with dedicated hardware support
Takuya Nanami, Daichi Yamada, Makoto Someya, View ORCID ProfileToshihide Hige, Hokto Kazama, Takashi Kohno
doi: https://doi.org/10.1101/2023.10.12.560618
Takuya Nanami
1Institute of Industrial Science, The University of Tokyo, Tokyo, Japan
Daichi Yamada
2Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, United States
Makoto Someya
5RIKEN Center for Brain Science, Saitama, Japan
Toshihide Hige
2Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, United States
3Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, United States
4Integrative Program for Biological and Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, United States
Hokto Kazama
5RIKEN Center for Brain Science, Saitama, Japan
Takashi Kohno
1Institute of Industrial Science, The University of Tokyo, Tokyo, Japan
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Posted October 13, 2023.
A lightweight data-driven spiking neural network model of Drosophila olfactory nervous system with dedicated hardware support
Takuya Nanami, Daichi Yamada, Makoto Someya, Toshihide Hige, Hokto Kazama, Takashi Kohno
bioRxiv 2023.10.12.560618; doi: https://doi.org/10.1101/2023.10.12.560618
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