Publikation: Signal extraction from movies of honeybee brain activity by convex analysis
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2012
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2012 IEEE 2nd International Conference on Computational Advances in Bio and medical Sciences (ICCABS). IEEE, 2012, pp. 1-6. ISBN 978-1-4673-1320-9. Available under: doi: 10.1109/ICCABS.2012.6182646
Zusammenfassung
Calcium-imaging enables us to record movies of brain activity from the antennal lobe, a region of the honeybee brain responsible for processing odor information. Here, we present a matrix factorisation framework to automatically detect the neural units in this region and to accurately estimate their signals. Based on a non-negative mixture model, the algorithmic approach is to construct a convex cone that contains the data. The generating vectors of the cone are the purest, least mixed timeseries from the movie and serve as basis vectors for the matrix factorisation. We show that vectors selected in this way correspond to the biological signals and evaluate the method on both artificial and biological data.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
570 Biowissenschaften, Biologie
Schlagwörter
Imaging, matrix factorisation, non-negativity
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2012 IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences (ICCABS), 23. Feb. 2012 - 25. Feb. 2012, Las Vegas, NV, USA
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STRAUCH, Martin, Julia REIN, C. Giovanni GALIZIA, 2012. Signal extraction from movies of honeybee brain activity by convex analysis. 2012 IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences (ICCABS). Las Vegas, NV, USA, 23. Feb. 2012 - 25. Feb. 2012. In: 2012 IEEE 2nd International Conference on Computational Advances in Bio and medical Sciences (ICCABS). IEEE, 2012, pp. 1-6. ISBN 978-1-4673-1320-9. Available under: doi: 10.1109/ICCABS.2012.6182646BibTex
@inproceedings{Strauch2012-02Signa-21892,
year={2012},
doi={10.1109/ICCABS.2012.6182646},
title={Signal extraction from movies of honeybee brain activity by convex analysis},
isbn={978-1-4673-1320-9},
publisher={IEEE},
booktitle={2012 IEEE 2nd International Conference on Computational Advances in Bio and medical Sciences (ICCABS)},
pages={1--6},
author={Strauch, Martin and Rein, Julia and Galizia, C. Giovanni}
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<dcterms:abstract xml:lang="eng">Calcium-imaging enables us to record movies of brain activity from the antennal lobe, a region of the honeybee brain responsible for processing odor information. Here, we present a matrix factorisation framework to automatically detect the neural units in this region and to accurately estimate their signals. Based on a non-negative mixture model, the algorithmic approach is to construct a convex cone that contains the data. The generating vectors of the cone are the purest, least mixed timeseries from the movie and serve as basis vectors for the matrix factorisation. We show that vectors selected in this way correspond to the biological signals and evaluate the method on both artificial and biological data.</dcterms:abstract>
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