Identification of sparse neural functional connectivity using penalized likelihood estimation and basis functions

著录项

• 来源
  《Journal of Computational Neuroscience》 |2013年第3期|335-357|共23页
• 作者

  Dong Song; Haonan Wang; Catherine Y. Tu; Vasilis Z. Marmarelis; Robert E. Hampson; Sam A. Deadwyler; Theodore W. Berger;

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• 作者单位

  Department of Biomedical Engineering, University of Southern California, 403 Hedco Neuroscience Building,Los Angeles, CA 90089, USA,Center for Neural Engineering, University of Southern California,Los Angeles, CA 90089, USA;

  Department of Statistics, Colorado State University,Fort Collins, CO 80523, USA;

  Department of Statistics, Colorado State University,Fort Collins, CO 80523, USA;

  Department of Biomedical Engineering, University of Southern California, 403 Hedco Neuroscience Building,Los Angeles, CA 90089, USA,Center for Neural Engineering, University of Southern California,Los Angeles, CA 90089, USA;

  Department of Physiology & Pharmacology,Wake Forest University, School of Medicine,Winston-Salem, NC 27157, USA;

  Department of Physiology & Pharmacology,Wake Forest University, School of Medicine,Winston-Salem, NC 27157, USA;

  Department of Biomedical Engineering, University of Southern California, 403 Hedco Neuroscience Building,Los Angeles, CA 90089, USA,Center for Neural Engineering, University of Southern California,Los Angeles, CA 90089, USA,Program in Neuroscience, University of Southern California,Los Angeles, CA 90089, USA;

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• 原文格式 PDF
• 正文语种 eng
• 中图分类
• 关键词

  Functional connectivity; Generalized linear model; Sparsity; Penalized likelihood; Basis function; Spike trains; Temporal coding;

  机译：功能连接;广义线性模型;稀疏性受罚的可能性;基函数;尖刺火车;时间编码;