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1 Ergebnisse
1
A 28nm Energy-efficient Asynchronous SNN Accelerator with O..:
, In:
2023 28th IEEE International Symposium on Asynchronous Circuits and Systems (ASYNC)
,
Huo, Dexuan
;
Zhang, Jilin
;
Zhang, Jian
. - p. 42-47 , 2023
Link:
https://doi.org/10.1109/ASYNC58294.2023.10239577
RT T1 <cTitle>2023 28th IEEE International Symposium on Asynchronous Circuits and Systems (ASYNC)</cTitle>: T1 <Title>A 28nm Energy-efficient Asynchronous SNN Accelerator with On-chip Learning for Gas Recognition</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10239577&Exemplar=1&LAN=DE A1 Huo, Dexuan A1 Zhang, Jilin A1 Zhang, Jian A1 Chen, Hong YR 2023 SN 2643-1483 K1 Training K1 Simulation K1 Neurons K1 CMOS process K1 Energy efficiency K1 System-on-chip K1 Synapses K1 spiking neural network K1 STDP K1 on-chip learning K1 asynchronous circuit K1 E-nose K1 gas recognition SP 42 OP 47 LK http://dx.doi.org/https://doi.org/10.1109/ASYNC58294.2023.10239577 DO https://doi.org/10.1109/ASYNC58294.2023.10239577 SF ELIB - SuUB Bremen
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