NeurosciencebioRxivPreprint
A Method of Feature Selection via Deep Convolution Neural Networks For Encoding Nonlinear Functional Network Connectivity and Its Application To The Classification of Mental Disorders
This paper introduces a deep convolutional neural network method to extract nonlinear functional network connectivity from fMRI data and applies it to classify mental disorders with high accuracy.