摘要
神经元是构成生物体神经系统的基本单位。在神经元的电生理特性描述上,Hodgkin-Huxley(HH)模型最接近于生物学实际。硬件实现神经元可为临床脊髓损伤治疗、仿生学、人工智能等方面提供新的研究思路。本文以HH模型神经元为研究对象,采用DSP Builder技术,在现场可编程门阵列(FPGA)上完成了单个HH模型神经元的硬件实现。对FPGA实现的神经元施加了不同类型的电流刺激,分析研究其动作电位响应特性,并与相同参数刺激下的数值模拟结果进行了相关系数的计算分析。结果表明,FPGA实现的神经元动作电位响应与数值模拟结果高度一致,为后续通过硬件构建神经元网络奠定了基础。
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 o{ neuron. Hardware implementa- tion of neuron could provide new research ideas to clinical treatment of spinal cord injury, bionics and artificial intelli gence. 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 implemen- ted 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 calculat- ed. The results showed that neuronal action potential response of FPGA was highly consistent with numerical simu- lation result. This work lays the foundation for hardware implementation of neural network.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2015年第6期1302-1309,共8页
Journal of Biomedical Engineering
基金
国家自然科学基金资助项目(51267010
51567015)
甘肃省杰出青年基金资助项目(1308RJDA013)
