INCIDE the Brain of a Bee : Visualising Honeybee Brain Activity in Real Time by Semantic Segmentation

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2012
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2012 IEEE Symposium on Biological Data Visualization (BioVis). - IEEE, 2012. - pp. 17-24. - ISBN 978-1-4673-4729-7
Abstract
We present a software solution for processing recordings of honeybee brain activity in real time. In the honeybee brain, odors elicit spatio-temporal activity patterns that encode odor identity. These patterns of neural activity in units called glomeruli can be recorded by calcium imaging with fluorescent dyes, but so far glomerulus segmentation was only possible offline, making interactive experiments impossible. Our main contribution is an adaptive algorithm for image processing, along with a fast implementation for the graphics processing unit that enables semantic segmentation in real time. Semantics is based on the temporal dimension, relying on the fact that time series of pixels within a glomerulus are correlated. We evaluate our software on reference data, demonstrate applicability in a biological experiment, and provide free source code. This paves the way for interactive experiments where neural units can be selected online based on their past activity.
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004 Computer Science
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2012 IEEE Symposium on Biological Data Visualization (BioVis), Oct 14, 2012 - Oct 15, 2012, Seattle, WA, USA
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Cite This
ISO 690STRAUCH, Martin, Marc P. BRÖG, Clemens MÜTHING, Paul SZYSKA, Oliver DEUSSEN, C. Giovanni GALIZIA, Dorit MERHOF, 2012. INCIDE the Brain of a Bee : Visualising Honeybee Brain Activity in Real Time by Semantic Segmentation. 2012 IEEE Symposium on Biological Data Visualization (BioVis). Seattle, WA, USA, Oct 14, 2012 - Oct 15, 2012. In: 2012 IEEE Symposium on Biological Data Visualization (BioVis). IEEE, pp. 17-24. ISBN 978-1-4673-4729-7. Available under: doi: 10.1109/BioVis.2012.6378588
BibTex
@inproceedings{Strauch2012-10INCID-22439,
  year={2012},
  doi={10.1109/BioVis.2012.6378588},
  title={INCIDE the Brain of a Bee : Visualising Honeybee Brain Activity in Real Time by Semantic Segmentation},
  isbn={978-1-4673-4729-7},
  publisher={IEEE},
  booktitle={2012 IEEE Symposium on Biological Data Visualization (BioVis)},
  pages={17--24},
  author={Strauch, Martin and Brög, Marc P. and Müthing, Clemens and Szyska, Paul and Deussen, Oliver and Galizia, C. Giovanni and Merhof, Dorit}
}
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