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基于人工智能技术的海洋遥感研究
世纪物理情系列讲座(第24讲):高能核核碰撞和夸克胶子等离子体
Fluid-induced deformation of porous materials: Applications tocement-based ma...
【低维量子物理国家重点实验室杰出学者讲座】原子尺度的极化子操控研究
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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