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

<div>Output of the CNN pooling layer for males. Since the pool shape is 1 × 2, 200-s input data is decomposed into 100 temporal elements (100-s data) after the pooling.</div>

Computational Intelligence and Neuroscience

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Figure 9

Figure 9: Analyzing Brain Functions by Subject Classification of Functional Near-Infrared Spectroscopy Data Using Convolutional Neural Networks Analysis 

Figure 9 | Analyzing Brain Functions by Subject Classification of Functional Near-Infrared Spectroscopy Data Using Convolutional Neural Networks Analysis 