报告时间：2022年5月12日

               上午10:00-11:00

报告地点：腾讯会议

（会议ID：369 231 894）

报告嘉宾： Tianwen Ma

报告主题：Bayesian Inferences on Neural Activity in EEG-Based Brain-Computer Interface

报告摘要

Bayesian Inferences on Neural Activity in EEG-Based Brain-Computer Interface

A brain-computer interface (BCI) is a system that translates brain activity into commands to operate technology.  A common design for an electroencephalogram (EEG) BCI relies on the classification of the P300 event-related potential (ERP), which is a response elicited by the rare occurrence of target stimuli among common non-target stimuli. Few existing ERP classifiers directly explore the underlying mechanism of the neural activity. To this end, we perform a novel Bayesian analysis of the probability distribution of multi-channel real EEG           signals under the P300 ERP- BCI design. We aim to identify relevant spatial temporal differences of the neural activity, which provides statistical evidence of P300 ERP responses and helps design individually efficient and accurate BCIs. As one key finding of our single participant analysis, there is a 90% posterior probability that the target ERPs of the channels around visual  cortex reach their negative peaks around 200 milliseconds post-stimulus. Our analysis identifies five important channels (PO7, PO8, Oz, P4, Cz) for the BCI speller leading to a 100% prediction    accuracy. From the analyses of nine other participants, we consistently select the identified five channels, and the selection frequencies are robust to small variations of bandpass filters and      kernel hyper-parameters.

个人简介

Tianwen Ma is a 4th-year Ph.D. candidate of Biostatistics at the University of Michigan supervised by Professors Jian Kang and Jane E. Huggins. His dissertation topic focuses on developing novel statistical methods and algorithms for non-invasive EEG-based Brain-Computer Interface. He obtained his dual B.S. of Honors Statistics from the University of Michigan and Sichuan University in 2016. After his graduation this summer, he will join Emory  Rollins School of Public Health as a research assistant professor and primarily collaborate with  the Emory Brain Health Center.