CASIA OpenIR  > 学术期刊  > Machine Intelligence Research
fMRI-based Decoding of Visual Information from Human Brain Activity: A Brief Review
Shuo Huang1,2; Wei Shao1,2; Mei-Ling Wang1,2; Dao-Qiang Zhang1
Source PublicationInternational Journal of Automation and Computing
ISSN1476-8186
2021
Volume18Issue:2Pages:170-184
Abstract

One of the most significant challenges in the neuroscience community is to understand how the human brain works. Recent progress in neuroimaging techniques have validated that it is possible to decode a person′s thoughts, memories, and emotions via functional magnetic resonance imaging (i.e., fMRI) since it can measure the neural activation of human brains with satisfied spatiotemporal resolutions. However, the unprecedented scale and complexity of the fMRI data have presented critical computational bottlenecks requiring new scientific analytic tools. Given the increasingly important role of machine learning in neuroscience, a great many machine learning algorithms are presented to analyze brain activities from the fMRI data. In this paper, we mainly provide a comprehensive and up-to-date review of machine learning methods for analyzing neural activities with the following three aspects, i.e., brain image functional alignment, brain activity pattern analysis, and visual stimuli reconstruction. In addition, online resources and open research problems on brain pattern analysis are also provided for the convenience of future research.

KeywordFunctional magnetic resonance imaging (fMRI) functional alignment brain activity, brain decoding visual stimuli reconstruction
DOI10.1007/s11633-020-1263-y
Sub direction classification其他
planning direction of the national heavy laboratory其他
Paper associated data
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/44015
Collection学术期刊_Machine Intelligence Research
Affiliation1.College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
2.MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Nanjing 211106, China
Recommended Citation
GB/T 7714
Shuo Huang,Wei Shao,Mei-Ling Wang,et al. fMRI-based Decoding of Visual Information from Human Brain Activity: A Brief Review[J]. International Journal of Automation and Computing,2021,18(2):170-184.
APA Shuo Huang,Wei Shao,Mei-Ling Wang,&Dao-Qiang Zhang.(2021).fMRI-based Decoding of Visual Information from Human Brain Activity: A Brief Review.International Journal of Automation and Computing,18(2),170-184.
MLA Shuo Huang,et al."fMRI-based Decoding of Visual Information from Human Brain Activity: A Brief Review".International Journal of Automation and Computing 18.2(2021):170-184.
Files in This Item: Download All
File Name/Size DocType Version Access License
IJAC-2020-03-045.pdf(4328KB)期刊论文出版稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Shuo Huang]'s Articles
[Wei Shao]'s Articles
[Mei-Ling Wang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Shuo Huang]'s Articles
[Wei Shao]'s Articles
[Mei-Ling Wang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Shuo Huang]'s Articles
[Wei Shao]'s Articles
[Mei-Ling Wang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: IJAC-2020-03-045.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.