Guest Editors: Jing Jin (East China University of Science and Technology), Xun Chen (University of Science and Technology of China), Dan Zhang (Tsinghua University) and Zhen Liang (Kyoto University)

In the psychological and physiological studies, it shows that, due to the limited processing capacity in the brain and the unlimited, overwhelming sensory input, human beings tend to shift their attention to the most important and informative portions from the irrelevant sensory information and only conducted further processing, analysis, and understanding of the details in the selected portions. This selective processing is termed visual attention in the human visual system. Besides the visual attention mechanism, in recent years, researchers become more and more interested to further know the connections between visual content (feature level or semantic level) and brain activities. Brain computer interface technology with artificial intelligence and neurofeedback technologies could provide us a helpful platform to explore the diversity of brain activities evoked by various visual information.

To promote the development of visual evoked brain computer Interface studies, this special issue is to focus on various new technologies or methods that could help to improve the understandings of brain activities related to the processed visual information. In particular, this special issue would welcome contributions, including but not limited to

Brain computer interface technologies Brain encoding and decoding from visual content Visual attention mechanism Machine learning algorithms for brain understanding with visual input Visual based neurofeedback technologies Visual evoked brain emotion studies Feature-level or sematic-level based brain information processing Applications of various intelligent technologies in visual evoked brain computer interface technologies Review/survey articles

Key words: brain computer interface, visual information, human visual system, brain encoding and decoding, pattern recognition, machine learning, bottom-up and top-down processing, evoking emotion

The special issue will be open to submissions from 1 July 2021. To submit a paper to this Special Issue, please go to https://www.editorialmanager.com/jneumeth/default.aspx and select "VSI: Visual Evoked BCI" as the article type. Deadline for Submissions: 31 May 2022