research
∙
12/05/2022
Decoding natural image stimuli from fMRI data with a surface-based convolutional network
Due to the low signal-to-noise ratio and limited resolution of functiona...
share
research
∙
02/04/2022
Personalized visual encoding model construction with small data
Encoding models that predict brain response patterns to stimuli are one ...
research
∙
05/15/2021
NeuroGen: activation optimized image synthesis for discovery neuroscience
Functional MRI (fMRI) is a powerful technique that has allowed us to cha...
research
∙
10/01/2020
Neural encoding with visual attention
Visual perception is critically influenced by the focus of attention. Du...
research
∙
08/07/2020
From Connectomic to Task-evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-state Functional Connectivity
Resting-state functional MRI (rsfMRI) yields functional connectomes that...
research
∙
06/29/2020
A shared neural encoding model for the prediction of subject-specific fMRI response
The increasing popularity of naturalistic paradigms in fMRI (such as mov...
research
∙
08/16/2019
Detecting abnormalities in resting-state dynamics: An unsupervised learning approach
Resting-state functional MRI (rs-fMRI) is a rich imaging modality that c...
research
∙
12/30/2018
Machine learning in resting-state fMRI analysis
Machine learning techniques have gained prominence for the analysis of r...
research
∙
12/03/2018
Large Spectral Density Matrix Estimation by Thresholding
Spectral density matrix estimation of multivariate time series is a clas...
research
∙
09/11/2018
Ensemble learning with 3D convolutional neural networks for connectome-based prediction
The specificty and sensitivity of resting state functional MRI (rs-fMRI)...
research
∙
06/11/2018
