Jack P Vincent1,2, Michael N Economo1,2,3

  • 1Department of Biomedical Engineering, Boston University, Boston, MA.

概括

准确评估尖峰分类准确性对于细胞外电生理学至关重要. 本研究引入了一种新的分析解决方案,用于预测从尖峰间隔 (ISI) 违规事件中错误发现率 (FDR),改进尖峰分类质量评估.

相关概念视频

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