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Effect of musical tones in auditory perception analysis using nonlinear model

机译:音调在非线性模型听觉感知分析中的作用

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This paper studies the application of the non-linear model (ANN, ANFIS). ANN and ANFIS were used to fit a Blood-Oxygen Level Dependent (BOLD) signal with design architecture. A model proposes to define region of interest (ROI) in brain fMRI images. The result shows the ANFIS model can be represent to fit the BOLD data better than ANN. Three paradigms were stimulated at difference issue activation in specific parameter (activation time, duration and signal strength). In this case a higher frequency and amplitude paradigm has stimulated on the brain area activation faster and more frequently.
机译:本文研究了非线性模型(ANN,ANFIS)的应用。 ANN和ANFIS用于将血氧水平依赖性(BOLD)信号与设计架构相匹配。建议使用一种模型来定义大脑fMRI图像中的关注区域(ROI)。结果表明,与ANN相比,ANFIS模型可以更好地拟合BOLD数据。在特定参数(激活时间,持续时间和信号强度)的差异问题激活时,激发了三个范例。在这种情况下,更高频率和幅度的范例刺激了大脑区域的激活,变得更快,更频繁。

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