Knowledge Commons of Institute of Automation,CAS
Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches | |
Yi-Jun Zhang1; Zhao-Fei Yu2,3; Jian. K. Liu4; Tie-Jun Huang2,3,5 | |
发表期刊 | Machine Intelligence Research |
ISSN | 2731-538X |
2022 | |
卷号 | 19期号:5页码:350-365 |
摘要 | Vision plays a peculiar role in intelligence. Visual information, forming a large part of the sensory information, is fed into the human brain to formulate various types of cognition and behaviours that make humans become intelligent agents. Recent advances have led to the development of brain-inspired algorithms and models for machine vision. One of the key components of these methods is the utilization of the computational principles underlying biological neurons. Additionally, advanced experimental neuroscience techniques have generated different types of neural signals that carry essential visual information. Thus, there is a high demand for mapping out functional models for reading out visual information from neural signals. Here, we briefly review recent progress on this issue with a focus on how machine learning techniques can help in the development of models for contending various types of neural signals, from fine-scale neural spikes and single-cell calcium imaging to coarse-scale electroencephalography (EEG) and functional magnetic resonance imaging recordings of brain signals. |
关键词 | Neural decoding machine learning deep learning visual decoding brain-inspired vision |
DOI | 10.1007/s11633-022-1335-2 |
语种 | 英语 |
七大方向——子方向分类 | 其他 |
国重实验室规划方向分类 | 其他 |
是否有论文关联数据集需要存交 | 否 |
中文导读 | https://mp.weixin.qq.com/s/LvEGiV-nIais-wNJ9bk1Ow |
视频解析 | https://www.bilibili.com/video/BV15T411v7XW/ |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/55951 |
专题 | 学术期刊_Machine Intelligence Research |
作者单位 | 1.Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China 2.School of Computer Science, Peking University, Beijing 100190, China 3.Institute for Artificial Intelligence, Peking University, Beijing 100190, China 4.School of Computing, University of Leeds, Leeds LS2 9JT, UK 5.Beijing Academy of Artificial Intelligence, Beijing 100190, China |
推荐引用方式 GB/T 7714 | Yi-Jun Zhang,Zhao-Fei Yu,Jian. K. Liu,et al. Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches[J]. Machine Intelligence Research,2022,19(5):350-365. |
APA | Yi-Jun Zhang,Zhao-Fei Yu,Jian. K. Liu,&Tie-Jun Huang.(2022).Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches.Machine Intelligence Research,19(5),350-365. |
MLA | Yi-Jun Zhang,et al."Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches".Machine Intelligence Research 19.5(2022):350-365. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
MIR-2022-02-038.pdf(1723KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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