Variational autoencoder: An unsupervised model for encoding and decoding fMRI activity in visual cortex - Han, Kuan; Wen, Haiguang; Shi, Junxing; Lu, Kun-Han; Zhang, Yizhen; Fu, Di; Liu, Zhongming (NeuroImage (Orlando, Fla.), 2019)
Keywords: Adult; Artificial intelligence; Bayesian brain; Brain Mapping - methods; Computer applications; Deep learning; Economic models; Female; Functional magnetic resonance imaging; Humans; Hypotheses; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Models, Neurological; Neural coding; Neural networks; Neural Networks, Computer; Neuroimaging; Neurosciences; Pattern Recognition, Visual - physiology; Random variables; Supervision; Unsupervised Machine Learning; Variational autoencoder; Visual cortex; Visual Cortex - physiology; Visual discrimination learning; Visual reconstruction; Young Adult; Neural coding; Variational autoencoder; Bayesian brain; Visual reconstruction