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1
Supervised STDP Learning with Weight Decay for Spiking Neur..:
, In:
2023 6th International Conference on Information and Communications Technology (ICOIACT)
,
Araki, Hiroshi
;
Hattori, Motonobu
- p. 505-510 , 2023
Link:
https://doi.org/10.1109/ICOIACT59844.2023.10455911
RT T1 <cTitle>2023 6th International Conference on Information and Communications Technology (ICOIACT)</cTitle>: T1 <Title>Supervised STDP Learning with Weight Decay for Spiking Neural Networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10455911&Exemplar=1&LAN=DE A1 Araki, Hiroshi A1 Hattori, Motonobu YR 2023 SN 2770-4661 K1 Learning systems K1 Redundancy K1 Interference K1 Timing K1 Information and communication technology K1 Task analysis K1 Synapses K1 spiking neural networks K1 supervised learning K1 synaptic timing dependent plasticity (STDP) K1 weight decay K1 catastrophic forgetting SP 505 OP 510 LK http://dx.doi.org/https://doi.org/10.1109/ICOIACT59844.2023.10455911 DO https://doi.org/10.1109/ICOIACT59844.2023.10455911 SF ELIB - SuUB Bremen
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