DT-SCNN: dual-threshold spiking convolutional neural network with fewer operations and memory access for edge applications
Fuming Lei,
Xu Yang,
Jian Liu
et al.
Abstract:The spiking convolutional neural network (SCNN) is a kind of spiking neural network (SNN) with high accuracy for visual tasks and power efficiency on neuromorphic hardware, which is attractive for edge applications. However, it is challenging to implement SCNNs on resource-constrained edge devices because of the large number of convolutional operations and membrane potential (Vm) storage needed. Previous works have focused on timestep reduction, network pruning, and network quantization to realize SCNN impleme… Show more
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