Removing the Compute Bottleneck for Event-based Visual Place Recognition with Spiking Neural Networks
This paper trains a two-layer spiking neural network (SNN) with additive spike-timing-dependent plasticity (STDP), which drives the learned weight matrix towards a strongly bimodal distribution, amenable to aggressive magnitude pruning, and suggests that the sparsity of both event-based input and learned weights can al...