Name
Abstract | ||
|---|---|---|
Efficient hardware design of biological neuron models is an essential issue in neuromorphic computation research. This paper presents a high-accuracy and energy-efficient hardware design of Izhikevich neuron, in which a fast-convergence COordinate Rotation DIgital Computer (CORDIC) operating in linear system is proposed to calculate square function. A CORDIC error model is also proposed to analyze... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/NEWCAS50681.2021.9462786 | 2021 19th IEEE International New Circuits and Systems Conference (NEWCAS) |
Keywords | DocType | ISSN |
Power demand,Neuromorphics,Computational modeling,Biological system modeling,Neurons,Energy efficiency,Hardware | Conference | 2472-467X |
ISBN | Citations | PageRank |
978-1-6654-2429-5 | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zixuan Peng | 1 | 1 | 0.69 |
| Jipeng Wang | 2 | 0 | 0.68 |
| Yi Zhan | 3 | 1 | 1.36 |
| Run Min | 4 | 0 | 0.34 |
| Guoyi Yu | 5 | 0 | 1.69 |
| Jianwen Luo | 6 | 0 | 0.34 |
| Kwen-Siong Chong | 7 | 1 | 2.04 |
| Chao Wang | 8 | 64 | 18.45 |