Effect of musical tones in auditory perception analysis using nonlinear model

P. Pongpanitanont, W. Sittiprapaporn, W. Charoensuk
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Abstract

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.
用非线性模型分析音调对听觉感知的影响
本文研究了非线性模型(ANN, ANFIS)的应用。利用人工神经网络和神经神经网络对血氧水平相关(BOLD)信号进行拟合。提出了一种定义脑功能磁共振成像图像感兴趣区域的模型。结果表明,与人工神经网络相比,ANFIS模型能更好地拟合BOLD数据。在特定参数(激活时间、持续时间和信号强度)上,对三种范式进行不同问题激活。在这种情况下,更高的频率和幅度范式刺激了大脑区域的激活更快,更频繁。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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