Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Fast and Efficient Information Transmission with Burst Spikes in Deep
  Spiking Neural Networks   The spiking neural networks (SNNs) are considered as one of the most
promising artificial neural networks due to their energy efficient computing
capability. Recently, conversion of a trained deep neural network to an SNN has
improved the accuracy of deep SNNs. However, most of the previous studies have
not achieved satisfactory results in terms of inference speed and energy
efficiency. In this paper, we propose a fast and energy-efficient information
transmission method with burst spikes and hybrid neural coding scheme in deep
SNNs. Our experimental results showed the proposed methods can improve
inference energy efficiency and shorten the latency.

36
The categories of this paper are: cmp-lg
13
The categories of this paper are: quant-ph
19
The categories of this paper are: eess
26
The categories of this paper are: bayes-an
37
The categories of this paper are: supr-con
33
The categories of this paper are: plasm-ph
22
The categories of this paper are: chao-dyn
23
The categories of this paper are: solv-int
2
The categories of this paper are: math
6
The categories of this paper are: astro-ph
24
The categories of this paper are: dg-ga
9
The categories of this paper are: nlin
25
The categories of this paper are: patt-sol
0
The categories of this paper are: hep-ph
17
The categories of this paper are: q-fin
18
The categories of this paper are: econ