丘脑皮层神经群模型仿真及现场可编程门阵列实现研究

发布时间：2018-05-30 10:09

本文选题：丘脑皮层神经群模型 + 神经振荡　；参考：《生物医学工程学杂志》2016年04期

【摘要】：利用计算机模拟大脑的神经振荡对于分析大脑的功能机制具有重要的意义。丘脑皮层神经群模型(TNMM)是一种通过建立丘脑和皮层耦合关系来反映神经活动机制的模型,有助于我们理解大脑特定认知功能及各个节律脑电信号的神经振荡活动。随着神经群模型的复杂性和规模的不断增加,常规的计算机系统性能无法实现快速和大规模的模型仿真。本文提出了以FPGA为基础的硬件计算仿真方法,利用Altera公司的计算机辅助设计工具DSP Builder,同时结合MATLAB/Simulink实现复杂神经群算法模型的搭建和硬件平台移植。此方法充分利用FPGA的并行计算能力来实现大规模复杂神经群模型的快速仿真,为神经群模型的计算机实现提供了新的方案和思路。
[Abstract]:The use of computer to simulate the neural oscillation of the brain is of great significance to the analysis of the functional mechanism of the brain. The thalamic cortical nerve group model (TNMMM) is a model that can reflect the mechanism of neural activity by establishing the coupling relationship between thalamus and cortex, which helps us to understand the specific cognitive function of the brain and the neural oscillatory activity of various rhythmic EEG signals. With the increasing complexity and scale of neural group model, the performance of conventional computer system can not achieve fast and large-scale model simulation. In this paper, a method of hardware calculation and simulation based on FPGA is proposed, and the computer aided design tool DSP Builder of Altera Company is used to build the complex neural group algorithm model and transplant the hardware platform with MATLAB/Simulink. This method makes full use of the parallel computing ability of FPGA to realize the fast simulation of large-scale complex neural group model and provides a new scheme and train of thought for the computer implementation of neural group model.
【作者单位】：燕山大学电气工程学院;北京师范大学认知神经科学与学习国家重点实验室;
【基金】：国家自然科学基金资助项目(61304247,81230023) 中国博士后科学基金资助项目(2014M551051,2015T80231) 河北省自然科学基金资助项目(F2014203127)
【分类号】：R338;TP391.9;TN791

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