Latent source mining in FMRI via restricted Boltzmann machine-Reference-Cited by-同舟云学术

Latent source mining in FMRI via restricted Boltzmann machine

Published:2018-02-18 Issue:6 Volume:39 Page:2368-2380
ISSN:1065-9471
Container-title:Human Brain Mapping
language:en
Short-container-title:Hum. Brain. Mapp.

Author:

Hu Xintao¹,Huang Heng¹,Peng Bo¹,Han Junwei¹^ORCID,Liu Nian¹,Lv Jinglei¹²,Guo Lei¹,Guo Christine³,Liu Tianming²^ORCID

Affiliation:

1. School of AutomationNorthwestern Polytechnical UniversityXi'an China

2. Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research CenterThe University of GeorgiaAthens Georgia

3. QIMR Berghofer Medical Research InstituteHerston Queensland Australia

Funder

National Natural Science Foundation of China

NSF

Publisher

Wiley

Subject

Clinical Neurology,Neurology,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.24005

Reference73 articles.

1. Principal component analysis of the dynamic response measured by fMRI: a generalized linear systems framework

2. Brain dynamics during natural viewing conditions—A new guide for mapping connectivity in vivo

3. Comparison of two exploratory data analysis methods for fMRI: fuzzy clustering vs. principal component analysis

4. Tensorial extensions of independent component analysis for multisubject FMRI analysis

5. An Information-Maximization Approach to Blind Separation and Blind Deconvolution

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