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神经放电序列模式的一种识别方法及应用
  • ISSN号：1000-6737
  • 期刊名称：《生物物理学报》
  • 时间：0
  • 分类：Q424[生物学—神经生物学;生物学—生理学] Q422[生物学—神经生物学;生物学—生理学]
  • 作者机构：[1]北京航空航天大学理学院,北京100083
  • 相关基金：国家自然科学基金项目（10432010和10672006）
作者： 杜莹[1], 陆启韶[1], 王士敏[1]
关键词： 放电序列, 模式识别, 响应函数, 峰峰间期, Spike train, Pattern recognition, Response function, ISI
中文摘要：

提出了神经放电序列模式识别的一种新方法。首先，把放电序列用阶梯状的响应函数来表示，然后定义了其一阶、二阶形式导数以及形式积分。这三个特征量均有着不同的几何和物理意义，因此采用这三个特征量来刻画神经放电序列的模式，就可以较全面地表示其特征。对神经放电序列的重构也表明通过这几个特征量可以很好地反映序列中所包含的信息。作为应用例子，这种量化方法用来研究冷热感受器模型所产生的放电模式，结果表明它能够识别在不同温度条件下的放电模式。

英文摘要：

A spike train is treated as a time-dependent stair-like function called response function. Three characteristic variables defined at sequential moments, including two formal derivatives and the integration of the response function, are introduced to reflect the temporal patterns of a spike train. These variables have obvious geometric meaning in expressing the response and coding of neural spike trains reasonably. The reconstruction of a spike train with these variables demonstrates that the information carried by spike trains can be well preserved. A mathematical model of cold receptor is considered as an example to study the temporal patterns based on the characteristic variables of its response functions under different temperature conditions.

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期刊信息
  • 《生物物理学报》
  • 北大核心期刊（2011版）
  • 主管单位:中国科协
  • 主办单位:中国生物物理学会
  • 主编：沈恂
  • 地址：北京朝阳区大屯路15号生物物理研究所内
  • 邮编：100101
  • 邮箱：acta@sun5.ibp.ac.cn
  • 电话：010-64888458
  • 国际标准刊号：ISSN：1000-6737
  • 国内统一刊号：ISSN：11-1992/Q
  • 邮发代号:
  • 获奖情况:
  • 二次获得中国科协优秀科技期刊奖
  • 国内外数据库收录:
  • 美国化学文摘（网络版）,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）,中国北大核心期刊（2000版）
  • 被引量:7189