Name
Abstract | ||
|---|---|---|
Spiking neural network (SNN), known as the third generation of neural networks, is attracting more and more researchers’ attention because of its high energy efficiency. However, due to the spatiotemporal characteristics, SNN involved a few complicated computations such as exponential function and logarithmic function, making it hard to implement on hardware. In this brief, we propose a SNN proces... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCSII.2021.3090422 | IEEE Transactions on Circuits and Systems II: Express Briefs |
Keywords | DocType | Volume |
Neurons,Synapses,Delays,Hardware,Decoding,Program processors,Field programmable gate arrays | Journal | 68 |
Issue | ISSN | Citations |
9 | 1549-7747 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huanliang Zheng | 1 | 0 | 0.68 |
| Yuhao Guo | 2 | 1 | 1.02 |
| Xingyu Yang | 3 | 2 | 2.39 |
| Shanlin Xiao | 4 | 4 | 3.11 |
| Zhiyi Yu | 5 | 158 | 18.40 |