Reconstruction of respiratory variation signals from fMRI data

Image Reconstruction from Incomplete Data

Image Reconstruction from Incomplete Data

image reconstruction from incomplete data

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Evaluation of hierarchical Bayesian method through retinotopic brain activities reconstruction from fMRI and MEG signals

A hierarchical Bayesian method estimated current sources from MEG data, incorporating an fMRI constraint as a hierarchical prior whose strength is controlled by hyperparameters. A previous study [Sato, M., Yoshioka, T., Kajihara, S., Toyama, K., Goda, N., Doya, K., Kawato, M., 2004. Hierarchical Bayesian estimation for MEG inverse problem. Neuroimage 23, 806-826] demonstrated that fMRI informat...

Constraint-free Natural Image Reconstruction from fMRI Signals Based on Convolutional Neural Network

In recent years, research on decoding brain activity based on functional magnetic resonance imaging (fMRI) has made remarkable achievements. However, constraint-free natural image reconstruction from brain activity remains a challenge, as specifying brain activity for all possible images is impractical. The existing research simplified the problem by using semantic prior information or just rec...