A Statistical Model for Multiphoton Calcium Imaging of the Brain
Multiphoton calcium fluorescence imaging has gained prominence as a valuable tool for the study of brain cells, but the corresponding analytical regimes remain rather naive. In this paper, we develop a statistical framework that facilitates principled quantitative analysis of multiphoton images. The...
Main Authors: | Brown, Emery N., Sur, Mriganka, Schummers, James, Malik, Wasim Qamar |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
Format: | Article |
Language: | en_US |
Published: |
Institute of Electrical and Electronics Engineers
2010
|
Online Access: | http://hdl.handle.net/1721.1/54712 https://orcid.org/0000-0003-2668-7819 https://orcid.org/0000-0003-2442-5671 https://orcid.org/0000-0002-7260-7560 |
Similar Items
-
A statistical model for multiphoton calcium imaging of the brain
by: Malik, Wasim Qamar, et al.
Published: (2012) -
Denoising Two-Photon Calcium Imaging Data
by: Malik, Wasim Qamar, et al.
Published: (2011) -
Functional Biases in Visual Cortex Neurons with Identified Projections to Higher Cortical Targets
by: Jarosiewicz, Beata, et al.
Published: (2014) -
Modeling two-photon calcium fluorescence of episodic V1 recordings using multifrequency analysis
by: Zheng, H. W., et al.
Published: (2017) -
Extending imaging depth of multiphoton microscopy
by: Cha, Jae Won
Published: (2008)