Imperial College London
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ProfessorPier LuigiDragotti

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Signal Processing
 
 
 
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Contact

 

+44 (0)20 7594 6192p.dragotti

 
 
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Location

 

814Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Reynolds:2016:10.1109/ISBI.2016.7493357,
author = {Reynolds, S and Copeland, CS and Schultz, SR and Dragotti, PL},
doi = {10.1109/ISBI.2016.7493357},
pages = {676--679},
publisher = {IEEE},
title = {An extension of the FRI framework for calcium transient detection},
url = {http://dx.doi.org/10.1109/ISBI.2016.7493357},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - 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.
AU  - Reynolds,S
AU  - Copeland,CS
AU  - Schultz,SR
AU  - Dragotti,PL
DO  - 10.1109/ISBI.2016.7493357
EP  - 679
PB  - IEEE
PY  - 2016///
SN  - 1945-7928
SP  - 676
TI  - An extension of the FRI framework for calcium transient detection
UR  - http://dx.doi.org/10.1109/ISBI.2016.7493357
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000386377400160&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/43398
ER  -
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