CASIA OpenIR  > 学术期刊  > Machine Intelligence Research
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
Source PublicationMachine Intelligence Research
ISSN2731-538X
2022
Volume19Issue:5Pages:350-365
Abstract

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.

KeywordNeural decoding machine learning deep learning visual decoding brain-inspired vision
DOI10.1007/s11633-022-1335-2
Language英语
Sub direction classification其他
planning direction of the national heavy laboratory其他
Paper associated data
Chinese guidehttps://mp.weixin.qq.com/s/LvEGiV-nIais-wNJ9bk1Ow
Video parsinghttps://www.bilibili.com/video/BV15T411v7XW/
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/55951
Collection学术期刊_Machine Intelligence Research
Affiliation1.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
Recommended Citation
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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