计算机工程与科学2018，Vol.40Issue(4)：609-615,7.DOI:10.3969/j.issn.1007-130X.2018.04.006
基于突触离子通道动力学神经元网络的高效并行仿真算法
A high-efficient parallel neuronal network simulation algorithm based on synaptic ion channel kinetic
摘要
Abstract
In the field of computational neuroscience,the parallel simulation of large-scale neuronal networks plays a very important role in exploring and revealing the information processing mechanism of the brain.In order to accelerate the large-scale neuronal network simulation,an efficient parallel neuronal network algorithm based on synaptic neurotransmitter-receptor ion channel kinetic characteristics is proposed.By analyzing the information transmission mechanisms and the neurotransmitter-receptor ion channel kinetic characteristics of the chemical synapse,we propose an idea of the separation of presynaptic neurotransmitter computing from postsynaptic receptor computing.The new idea enhances the independence of the two concentration calculation:neurotransmitter emitted by presynaptic neurons,and the bound postsynaptic receptors.During each synaptic current computing,the new idea reduces the coupling degree of the presynaptic neuron and the postsynaptic neuron.Based on the new idea,we design a parallel algorithm for parallel neuronal network simulation based on synaptic ion channel kinetic.Simulation results show that the algorithm is efficient.关键词
神经元网络/递质-受体/离子通道/突触电流/耦合度Key words
neuronal network/neurotransmitter-receptor/ion channel/synaptic current/coupling degree分类
信息技术与安全科学引用本文复制引用
彭霞,王直杰,韩芳,顾晓春..基于突触离子通道动力学神经元网络的高效并行仿真算法[J].计算机工程与科学,2018,40(4):609-615,7.基金项目
国家自然科学基金(11572084,11472061) （11572084,11472061）
