Small World Neural Network Based on FPGA
- 10.2991/asei-15.2015.70How to use a DOI?
- Small World Network, Field Programmable Gate Array, Mirror Image Memory.
Statistical analysis results have shown that small-world characteristics are widespread in the cerebral cortex neuron network, which has long been proven an effective method to investigate the brain anatomy and functions. From the perspective of hardware, we built the FHN neural network model with small-world connectivity using FPGA Field Programmable Gate Array . As a result, we observe the properties of neuron membrane potential are in line with the small-world characteristic of FHN neuron network model when impressed sinusoidal current with different frequencies. By the aforementioned rules, this paper demonstrates the effectiveness, and may underlie the construction of cerebral cortex network in the future.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Aiqing Zhao AU - Huiyan Li AU - Yuliang Liu AU - Chunxiao Han AU - Yanqiu Che PY - 2015/05 DA - 2015/05 TI - Small World Neural Network Based on FPGA BT - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation PB - Atlantis Press SP - 326 EP - 329 SN - 2352-5401 UR - https://doi.org/10.2991/asei-15.2015.70 DO - 10.2991/asei-15.2015.70 ID - Zhao2015/05 ER -