Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches

doi:10.1007/s11633-022-1335-2

CORC > 自动化研究所 > 中国科学院自动化研究所 > 学术期刊 > International Journal of Automation and Computing

	Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches
	Yi-Jun Zhang 5
刊名	Machine Intelligence Research
	2022
卷号	19 期号:5 页码:350-365
关键词	Neural decoding machine learning deep learning visual decoding brain-inspired vision
ISSN号	2731-538X
DOI	10.1007/s11633-022-1335-2
英文摘要	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.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/49914]
专题	自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位	1.Beijing Academy of Artificial Intelligence, Beijing 100190, China 2.School of Computing, University of Leeds, Leeds LS2 9JT, UK 3.Institute for Artificial Intelligence, Peking University, Beijing 100190, China 4.School of Computer Science, Peking University, Beijing 100190, China 5.Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
推荐引用方式 GB/T 7714	Yi-Jun Zhang. 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.(2022).Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches.Machine Intelligence Research,19(5),350-365.
MLA	Yi-Jun Zhang."Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches".Machine Intelligence Research 19.5(2022):350-365.