NeuroTalk Salon#22:Decoding dissociates perceptual grouping
本文来源:NeuroTalk
Neural decoding dissociates perceptual grouping in visual perception
神經解碼分離視覺的知覺組織過程
Presenter: Mr. Lin Hua (華林)
Perceptual grouping depicts the process in which the human brain aggregates meaningless local sensory elements into meaningful global patterns. In this talk, I will present our recent work which used a dimotif lattice paradigm to quantify the relationship between the two basic grouping principles (i.e., proximity and similarity) in human visual perception. I will also discuss multiple EEG analysis methods which can reveal the specific cognitive patterns and provide direct evidence for a link between the human perceptual space of grouping decision-making and the neural space of brain activation patterns.
Bio
Mr. Lin Hua is currently a Ph.D. student in Prof. Zhen Yuan's bioimaging lab at Faculty of Health Sciences and Centre for Cognitive and Brain Sciences at University of Macau. His research aims to explore the neural mechanisms of human vision and neurodegenerative diseases. He applies advanced statistical and machine learning techniques in his work. He also has expertise in multimodal neuroimaging techniques including fMRI, MEG, and EEG.
Related publication
Hua, L., Gao, F., Leong, C., & Yuan, Z.* (2022). Neural decoding dissociates perceptual grouping between proximity and similarity in visual perception. Cerebral Cortex.
Moderator:Ms. Yingshi Ding (丁盈詩)
(CCBS/FED, UM)
Language: English
Time: 7:00 PM, November 4th (Beijing Time)
Zoom ID: 959 6270 3011
Passcode: ccbs
Scan the QR code to sign up as Presenter!
Or contact Dr. Gao Fei ([email protected]) for inquiries.
谢谢大家观看,如有帮助,来个喜欢或者关注吧!
本文仅供学习参考,有任何疑问及建议,扫描以下公众号二维码添加交流:
更多学习内容,仅在知识星球发布:
最新评论
推荐文章
作者最新文章
你可能感兴趣的文章
Copyright Disclaimer: The copyright of contents (including texts, images, videos and audios) posted above belong to the User who shared or the third-party website which the User shared from. If you found your copyright have been infringed, please send a DMCA takedown notice to [email protected]. For more detail of the source, please click on the button "Read Original Post" below. For other communications, please send to [email protected].
版权声明:以上内容为用户推荐收藏至CareerEngine平台,其内容(含文字、图片、视频、音频等)及知识版权均属用户或用户转发自的第三方网站,如涉嫌侵权,请通知[email protected]进行信息删除。如需查看信息来源,请点击“查看原文”。如需洽谈其它事宜,请联系[email protected]。
版权声明:以上内容为用户推荐收藏至CareerEngine平台,其内容(含文字、图片、视频、音频等)及知识版权均属用户或用户转发自的第三方网站,如涉嫌侵权,请通知[email protected]进行信息删除。如需查看信息来源,请点击“查看原文”。如需洽谈其它事宜,请联系[email protected]。