Andrew J Zimnik1,2, K Cora Ames1,2,3,4, Xinyue An5,6

  • 1Department of Neuroscience, Columbia University Medical Center, New York, NY, USA.

概括

本研究介绍了稀缺元件分析 (SCA),这是一种无监督的方法,用于识别神经活动中可解释的潜在因素. SCA有效地揭示了各种神经系统中复杂行为背后的不同计算角色.

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