Sparse Estimation of Spike-Triggered Average

• Item type: SIG Technical Reports(1)
• 公開日: 2013-05-16
• タイトル: Sparse Estimation of Spike-Triggered Average
• タイトル / 言語: en
• タイトル: Sparse Estimation of Spike-Triggered Average
• 言語: eng
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: Graduate School of Frontier Sciences, The University of Tokyo
• 著者所属: Graduate School of Engineering, Kobe University
• 著者所属: Graduate School of Frontier Sciences, The University of Tokyo
• 著者所属: Graduate School of Frontier Sciences, The University of Tokyo／Brain Science Institute, RIKEN
• 著者所属(英): en
• 著者所属(英): Graduate School of Frontier Sciences, The University of Tokyo
• 著者所属(英): en
• 著者所属(英): Graduate School of Engineering, Kobe University
• 著者所属(英): en
• 著者所属(英): Graduate School of Frontier Sciences, The University of Tokyo
• 著者所属(英): en
• 著者所属(英): Graduate School of Frontier Sciences, The University of Tokyo / Brain Science Institute, RIKEN
• 著者名: Shimpei, Yotsukura; Toshiaki, Omori; Kenji, Nagata; Masato, Okada
• 著者名(英): Shimpei, Yotsukura; Toshiaki, Omori; Kenji, Nagata; Masato, Okada
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: The spike-triggered average (STA) and phase response curve characterize the response properties of single neurons. A recent theoretical study proposed a method to estimate the phase response curve by means of linear regression with Fourier basis functions. In this study, we propose a method to estimate the STA by means of sparse linear regression with Fourier and polynomial basis functions. In the proposed method, we use sparse estimation with L1 regularization to extract substantial basis functions for the STA. We show using simulated data that the proposed method achieves more accurate estimation of the STA than the simple trial average used in conventional method.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: The spike-triggered average (STA) and phase response curve characterize the response properties of single neurons. A recent theoretical study proposed a method to estimate the phase response curve by means of linear regression with Fourier basis functions. In this study, we propose a method to estimate the STA by means of sparse linear regression with Fourier and polynomial basis functions. In the proposed method, we use sparse estimation with L1 regularization to extract substantial basis functions for the STA. We show using simulated data that the proposed method achieves more accurate estimation of the STA than the simple trial average used in conventional method.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN10505667
• 書誌情報: 研究報告数理モデル化と問題解決（MPS）; 巻 2013-MPS-93, 号 4, p. 1-6, 発行日 2013-05-16
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会