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互信息量评价神经元重要性的可靠性分析

发表时间:2012-03-15  浏览量:1187  下载量:386
全部作者: 廖玉玺,张韶岷,赵挺,王怡雯
作者单位: 浙江大学信息学部生物医学工程与仪器科学学院;浙江大学求是高等研究院
摘 要: 以基于猕猴的脑机接口(brain machine interfaces,BMIs)为平台,记录猴子在完成4方向摇杆运动任务时初级运动区的神经元信号,通过计算每个神经元动作电位序列和运动轨迹之间的互信息量,从中选取�10个�互信息量最大的神经元。根据这10个神经元的单独解码效果和其余105个神经元的共同解码准确性的对比分析,发现神经元的互信息量大小与神经元对解码效果的影响并不存在必然联系。因此,使用互信息评价神经元重要性的可靠性有待商榷,有必要寻找其他更可靠的办法,如一种能把神经元间的冗余性加入考量的新方法。�
关 键 词: 神经工程;神经元重要性;互信息;脑机接口
Title: Dubious reliability of mutual information as an indicator of neuron importance
Author: LIAO Yuxi, ZHANG Shaomin, ZHAO Ting, WANG Yiwen
Organization: College of Biomedical Engineering & Instrument Science, Faculty of Information Technology, Zhejiang University; Qiushi Academy for Advanced Studies, Zhejiang University
Abstract: In this study, the activities of neurons were recorded from M1 area of a monkey performing the 4-directional center-out task taking brain machine interfaces (BMIs) as platform. The mutual information between the activity of each neuron and wrist position trajectory was calculated, and the top 10 neurons were selected. For each of the 10 neurons, the decoding accuracy was calculated using that neuron only and the decoding accuracy was calculated using the population of other 105 neurons. The results show no obvious dependence of the decoding accuracies on the mutual information, suggesting that mutual information is not a reliable indicator of neuron importance. Therefore, it is worth some efforts to explore alternative methods of ascertaining neuron importance, e.g. a method that takes account of redundancy among neuron activities.�
Key words: neuro-engineering; neuron importance; mutual information; brain-machine interface
发表期数: 2012年3月第5期
引用格式: 廖玉玺,张韶岷,赵挺,等. 互信息量评价神经元重要性的可靠性分析[J]. 中国科技论文在线精品论文,2012,5(5):463-468.
 
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