Name
Abstract | ||
|---|---|---|
For the study of new computer architecture inspired by brain, implementing neuron function on hardware has become an emerging research direction. To study the feasibility of biological neuron implementation and acceleration characteristics on the hardware platform, the basic Hodgkin-Huxley (HH) neuron model and a small scale of synapse connection model is implemented on Xilinx Zynq7 Zedboard FPGA, high-level-synthesis method is used to reduce the burden of hardware design. The Hodgkin-Huxley model simulation result of FPGA are validated through high level software simulation tool in Brian2, furthermore, resource utilization and calculation time cost are provided in this paper, finally, a pipeline design of HH neuron model is used to accelerate calculations and reduce resource utilization, the result proves that this design is suitable for HH model simulation. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICCT46805.2019.8947169 | ICCT |
Field | DocType | Citations |
Software simulation,Computer architecture,Synapse,Biological neuron model,Computer science,High-level synthesis,Field-programmable gate array,Real-time computing,Acceleration,Connection model,Hodgkin–Huxley model | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zexuan Yi | 1 | 0 | 0.34 |
| Wenlong Fu | 2 | 0 | 0.68 |
| Lihong Cao | 3 | 59 | 3.65 |