Efficient and accurate extraction of in vivo calcium signals from microendoscopic video data
Abstract
In vivo calcium imaging through microendoscopic lenses enables imaging of previously inaccessible neuronal populations deep within the brains of freely moving animals. However, it is computationally challenging to extract single-neuronal activity from microendoscopic data, because of the very large background fluctuations and high spatial overlaps intrinsic to this recording modality. Here, we describe a new constrained matrix factorization...
Paper Details
Title
Efficient and accurate extraction of in vivo calcium signals from microendoscopic video data
Published Date
Feb 22, 2018
Journal
Volume
7
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