Imperial College London
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ProfessorSimonSchultz

Faculty of Engineering, Department of Bioengineering

Professor of Neurotechnology
 
 
 
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Contact

 

s.schultz Website

 
 
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Location

 

4.11Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Reynolds:2015:10.1101/029751,
author = {Reynolds, S and Copeland, CS and Schultz, SR and Dragotti, PL},
doi = {10.1101/029751},
title = {AN EXTENSION OF THE FRI FRAMEWORK FOR CALCIUM TRANSIENT DETECTION},
url = {http://dx.doi.org/10.1101/029751},
year = {2015}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - <jats:p>Two-photon calcium imaging of the brain allows the spatiotemporal activity of neuronal networks to be monitored at cellular resolution. In order to analyse this activity it must first be possible to detect, with high temporal resolution, spikes from the time series corresponding to single neurons. Previous work has shown that finite rate of innovation (FRI) theory can be used to reconstruct spike trains from noisy calcium imaging data. In this paper we extend the FRI framework for spike detection from calcium imaging data to encompass data generated by a larger class of calcium indicators, including the genetically encoded indicator GCaMP6s. Furthermore, we implement least squares model-order estimation and perform a noise reduction procedure ('pre-whitening') in order to increase the robustness of the algorithm. We demonstrate high spike detection performance on real data generated by GCaMP6s, detecting 90% of electrophysiologically-validated spikes.</jats:p>
AU  - Reynolds,S
AU  - Copeland,CS
AU  - Schultz,SR
AU  - Dragotti,PL
DO  - 10.1101/029751
PY  - 2015///
TI  - AN EXTENSION OF THE FRI FRAMEWORK FOR CALCIUM TRANSIENT DETECTION
UR  - http://dx.doi.org/10.1101/029751
ER  -
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