STReaC () .

John E Parker1,2, Asier Aristieta2,3, Aryn Gittis2,3

  • 1Department of Mathematics, University of Pittsburgh, Pittsburgh, PA, U.S.A.

PubMed
概括

本研究介绍了尖列车响应分类 (STReaC) 算法工具箱,用于神经反应的自动分析. 它客观地从尖峰列车记录中分类各种神经元发射模式,改进了传统方法.

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