Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Explicitly Trained Spiking Sparsity in Spiking Neural Networks with
  Backpropagation   Spiking Neural Networks (SNNs) are being explored for their potential energy
efficiency resulting from sparse, event-driven computations. Many recent works
have demonstrated effective backpropagation for deep Spiking Neural Networks
(SNNs) by approximating gradients over discontinuous neuron spikes or firing
events. A beneficial side-effect of these surrogate gradient spiking
backpropagation algorithms is that the spikes, which trigger additional
computations, may now themselves be directly considered in the gradient
calculations. We propose an explicit inclusion of spike counts in the loss
function, along with a traditional error loss, causing the backpropagation
learning algorithms to optimize weight parameters for both accuracy and spiking
sparsity. As supported by existing theory of over-parameterized neural
networks, there are many solution states with effectively equivalent accuracy.
As such, appropriate weighting of the two loss goals during training in this
multi-objective optimization process can yield an improvement in spiking
sparsity without a significant loss of accuracy. We additionally explore a
simulated annealing-inspired loss weighting technique to increase the weighting
for sparsity as training time increases. Our preliminary results on the
Cifar-10 dataset show up to 70.1% reduction in spiking activity with
iso-accuracy compared to an equivalent SNN trained only for accuracy and up to
73.3% reduction in spiking activity if allowed a trade-off of 1% reduction in
classification accuracy.

17
The categories of this paper are: q-fin
31
The categories of this paper are: ao-sci
23
The categories of this paper are: solv-int
9
The categories of this paper are: nlin
16
The categories of this paper are: stat
27
The categories of this paper are: comp-gas
32
The categories of this paper are: atom-ph
33
The categories of this paper are: plasm-ph
6
The categories of this paper are: astro-ph
29
The categories of this paper are: funct-an
2
The categories of this paper are: math
10
The categories of this paper are: q-bio
0
The categories of this paper are: hep-ph
22
The categories of this paper are: chao-dyn
7
The categories of this paper are: hep-th
28
The categories of this paper are: alg-geom