Hardware Implementation of Numerical Simulation Function of Hodgkin-Huxley Model Neurons Action Potential Based on Field Programmable Gate Array.
- Author:
Jinlong WANG
;
Mai LU
;
Yanwen HU
;
Xiaoqiang CHEN
;
Qiangqiang PAN
- Publication Type:Journal Article
- MeSH:
Action Potentials;
Computer Simulation;
Humans;
Models, Neurological;
Neural Networks (Computer);
Neurons;
cytology;
Synaptic Transmission
- From:
Journal of Biomedical Engineering
2015;32(6):1302-1309
- CountryChina
- Language:Chinese
-
Abstract:
Neuron is the basic unit of the biological neural system. The Hodgkin-Huxley (HH) model is one of the most realistic neuron models on the electrophysiological characteristic description of neuron. Hardware implementation of neuron could provide new research ideas to clinical treatment of spinal cord injury, bionics and artificial intelligence. Based on the HH model neuron and the DSP Builder technology, in the present study, a single HH model neuron hardware implementation was completed in Field Programmable Gate Array (FPGA). The neuron implemented in FPGA was stimulated by different types of current, the action potential response characteristics were analyzed, and the correlation coefficient between numerical simulation result and hardware implementation result were calculated. The results showed that neuronal action potential response of FPGA was highly consistent with numerical simulation result. This work lays the foundation for hardware implementation of neural network.
