选择范围广泛的行为关联研究:以数据驱动的可解释行为组件的识别

David B Kastner1,2, Greer Williams1, Cristofer Holobetz1

  • 1Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA 94143, USA.

概括

我们开发了一种新的方法,选择范围广泛的行为关联研究 (CBAS),以在长时间内找到重要的行为模式. 在不同的物种和任务中,CBAS成功地识别了可解释的行为特征.

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