报告题目：用于α波调制的毫秒级实时神经反馈系统

报告人： 黄淦 副教授(深圳大学)

时间：2018年9月14日10:00

地点：心理学部415室

简介：黄淦，博士，毕业于上海交通大学，比利时法语鲁汶大学（Université catholique de Louvain）神经科学研究所博士后。目前为深圳大学医学院生物医学工程学院副研究员。主要研究方向生物医学数据处理，脑机接口，神经假肢。目前以第一作者或合作者的形式在国内外高水平杂志Neuroimage，Neural Network，Neurocomputing杂志发表SCI论文21篇，会议论文11篇，获得专利1项，谷歌学术H指数为15。担任IEEE Transactions on Neural Networks, Journal of Neural Engineering, NeuroImage等多个期刊审稿人。目前主持国家自然科学基金(青年项目)1项。

摘要：The efficacy of neurofeedback is a point of great controversy, because a certain proportion of users cannot properly regulate their brain activities and thereby fail to benefit from neurofeedback. To address the neurofeedback inefficacy problem, the present study is aimed to design and implement a new neurofeedback system that can more effectively and consistently regulate users’ brain activities than the conventional way of training users to voluntarily regulate brain activities. The new neurofeedback system delivers external visual stimuli continuously at a specific alpha phase, which is real-time decoded from ongoing alpha wave, to regulate the alpha wave. Experimental results show that the proposed training-free externally-regulated neurofeedback (ER-NF) system can achieve consistent (effective in almost all sessions for almost all users), flexible (either increasing or decreasing alpha power and frequency), and immediate (taking or losing effect immediately after stimulation is on or off) modulation effects on alpha wave. Therefore, the ER-NF system holds great potential to be able to more reliably and flexibly modulate cognition and behavior.