Name
Abstract | ||
|---|---|---|
The information communicating among neurons in Spiking Neural Networks (SNNs) is represented as spiking signals. The outstanding energy efficiency of SNNs stems from the minimal computational cost on the nonlinear calculations of the neurons and the communicating power between them. In this paper, we present a three-dimensional (3D) Memristive Spiking Neural Network (M-SNN) system which employs me... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ISQED51717.2021.9424303 | 2021 22nd International Symposium on Quality Electronic Design (ISQED) |
Keywords | DocType | ISSN |
Heating systems,Power demand,Three-dimensional displays,Simulation,Neurons,Memristors,Random access memory | Conference | 1948-3287 |
ISBN | Citations | PageRank |
978-1-7281-7641-3 | 1 | 0.37 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongyu An | 1 | 1 | 0.71 |
| Mohammad Shah Al-Mamun | 2 | 1 | 0.37 |
| Marius K. Orlowski | 3 | 1 | 0.37 |
| Yi Yang | 4 | 92 | 9.96 |