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车辆与运载学院295期学术沙龙-Impedance And Noise as Non-invasive Battery Analy...
清华大学材料科学与工程研究院《材料科学论坛》学术报告:基于位错理论对γ/γ’双相...
清华大学材料科学与工程研究院《材料科学论坛》:Sublattice alloy design for app...
学堂班系列讲座:“电解水制氢耦合催化氧化”
报告题目:
Quantifying Cognitive State from EEG using Dependence Measures
 报告人:
Jose C. Principe
Ph.D. 
Professor, Electrical and Biomedical Engineering 
at the University of Florida, USA
报告时间:
2011-09-22 10:00
报告地点:
医学科学楼B3321
主办单位:
医学院
  简介:
       One of the important frontiers in computational neuroscience is to quantify and model neural processing during cognition. Our laboratory is developing new nonparametric statistical measures of dependence and causality that can be applied directly to data, in the spirit of Information Theoretic Learning.  This talk will address methodologies to quantify the dependence structure amongst brain areas. We are currently utilizing the ssVEP to improve the SNR of the EEG during cognitive tasks. We will show the importance of the preprocessor on the dependence measures and preliminary results obtained with the generalized measure of association to distinguish perception of faces versus images calibrated for brightness.
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