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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。
The use of computer simulation of brain neuron oscillation for the analysis of the functional mechanism of the brain is of great significance. The thalamic cortical neuron model (TNMM) is a model that reflects neural activity mechanisms by establishing a coupling relationship between the thalamus and cortex, which helps us to understand the neurocognitive activity of specific brain-specific cognitive functions and brain signals. With the complexity and scale of the neuron model increasing, conventional computer system performance can not achieve fast and large-scale model simulation. This paper presents FPGA-based hardware computing simulation method, using Altera’s computer-aided design tool DSPBuilder, combined with MATLAB / Simulink to achieve complex neural network model and hardware platform transplantation. This method makes full use of the parallel computing power of FPGA to realize the rapid simulation of large-scale complex neural network model and provides a new scheme and idea for the computer implementation of the neural-group model.