ITP-STDP: An Intrinsic-Timing Power-of-Two Learning Engine for On-Chip SNN Training 事件

ITP-STDP: An Intrinsic-Timing Power-of-Two Learning Engine for On-Chip SNN Training arXiv:2606.06159v1 Announce Type: cross Abstract: Spiking neural networks (SNNs) have the potential to emerge as the third generation of neural networks and have attracted increasing attention across a wide range of applications. However, the large number of synaptic connections in SNNs leads to intensive weight-update computation by on-chip learning algorithms during training, resulting in substantial hardware