Simultaneous Denoising, Deconvolution, and Demixing of Calcium Imaging Data
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- 作者：Eftychios A. Pnevmatikakis1 ; 2 ; epnevmatikakis@simonsfoundation.org" class="auth_mail" title="E-mail the corresponding author ; Daniel Soudry2 ; Yuanjun Gao2 ; Timothy A. Machado2 ; 3 ; 4 ; 5 ; Josh Merel2 ; 4 ; David Pfau2 ; 4 ; Thomas Reardon3 ; 4 ; 5 ; Yu Mu6 ; Clay Lacefield4 ; Weijian Yang7 ; Misha Ahrens6 ; Randy Bruno4 ; Thomas M. Jessell3 ; 4 ; 5 ; Darcy S. Peterka5 ; 7 ; Rafael Yuste4 ; 7 ; Liam Paninski2 ; 4 ; 5 ; 7 ; liam@stat.columbia.edu" class="auth_mail" title="E-mail the corresponding author
- 刊名：Neuron
- 出版年：2016
- 出版时间：20 January 2016
- 年：2016
- 卷：89
- 期：2
- 页码：285-299
- 全文大小：3626 K
文摘
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We present a new method for analyzing large-scale calcium imaging datasets
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The method identifies the cell locations and deconvolves their neural activity
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Applications to in vivo somatic and dendritic imaging are presented
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We make available MATLAB and Python implementations of our method