fMRI-based Decoding of Visual Information from Human Brain Activity: A Brief Review
文献类型：期刊论文
| 作者 | Shuo Huang1,2 |
| 刊名 | International Journal of Automation and Computing
 |
| 出版日期 | 2021 |
| 卷号 | 18期号:2页码:170-184 |
| 关键词 | Functional magnetic resonance imaging (fMRI) functional alignment brain activity, brain decoding visual stimuli reconstruction |
| ISSN号 | 1476-8186 |
| DOI | 10.1007/s11633-020-1263-y |
| 英文摘要 | 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. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/44015]  |
| 专题 | 自动化研究所_学术期刊_International Journal of Automation and Computing |
| 作者单位 | 1.MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Nanjing 211106, China 2.College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China |
| 推荐引用方式 GB/T 7714 | Shuo Huang. 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.(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."fMRI-based Decoding of Visual Information from Human Brain Activity: A Brief Review".International Journal of Automation and Computing 18.2(2021):170-184. |
入库方式： OAI收割
来源：自动化研究所
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