Analyzing Brain Functions by Subject Classification of Functional Near-Infrared Spectroscopy Data Using Convolutional Neural Networks Analysis

<div>Learned filter properties. Since the filter kernel is 1 × 10, ten temporal elements exist and the output of each element is plotted in the vertical axis.</div>

Computational Intelligence and Neuroscience

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Figure 8

Figure 8: Analyzing Brain Functions by Subject Classification of Functional Near-Infrared Spectroscopy Data Using Convolutional Neural Networks Analysis 

Figure 8 | Analyzing Brain Functions by Subject Classification of Functional Near-Infrared Spectroscopy Data Using Convolutional Neural Networks Analysis 