arrow
Return

Visual Imagery-Based Brain-Computer Interaction Paradigms and Neural Encoding and Decoding

delete2025-04-01
delete0
PRE
AI
L
Lei Zhao
L
Liu, Yao
G
Gao, Jing'ao
P
Peng Ding
F
Fan Wang
A
Anmin Gong
W
Wenya Nan
伏云发 cover
伏云发 (Yunfa Fu) *
T
Tianwen Li *
DOI:10.1109/THMS.2025.3548943delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Imagination is a significant mental activity of human beings that can serve as a brain-computer interaction (BCI) paradigm, and visual imagery (VI) has become a relatively new BCI paradigm. VI is the ability to form visual representations in short-term memory without retinal input, offering users advantages like safety and rich content. It is anticipated to address the limitations of traditional BCI paradigms. However, further research is needed in the neural mechanisms, paradigm design, neural encoding, and decoding of VI-based BCI. Despite the existence of experimental studies on VI-BCI, there is a shortage of comprehensive reviews. This article provides a review of the neural mechanisms of VI, and explores paradigm designs for VI-BCI. Additionally, it covers neural encoding and decoding methods. Finally, the existing issues and suggested future research directions for VI-BCI are identified. The aim is to inspire further research in the field of VI-BCI.
Keywords:
Visualization
Decoding
Encoding
Timing
Parietal lobe
Image coding
Electroencephalography
Brain-computer interfaces
Symbols
Reviews
Brain-computer interaction (BCI) paradigms
neural decoding
neural encoding
neurofeedback
visual imagery (VI)

Journal

IEEE Transactions on Human-Machine Systems cover
IEEE Transactions on Human-Machine Systems
IF:
4.4
Papers:
1.1K
Citations:
3.5K

Organization

S
Shanghai Normal University
Scholars:
7.4K
Papers: 5.0K
Citations: 8.0K
E
Engineering University of Pap
Scholars:
402
Papers: 283
Citations: 1