Extraction of dendrite activity in dense neural circuits by independent component analysis
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1
Neuroelectronics Research Flanders (NERF), Belgium
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2
VIB Center for the Biology of Disease, Belgium
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3
Kavli Institute for Systems Neuroscience and Centre for Neural Computation, Norway
The study of dense neural circuits such as the antennal lobe in Drosophila melanogaster pose particular challenges due to its three-dimensional architecture. Unlike layered circuits such as the hippocampus or the cortex in mammals, the antennal lobe contains clusters of dendritic neuropil, called glomeruli, distributed throughout its whole volume. This anatomical organization demands that different depths of the circuit should be observed simultaneously in order to understand circuit level computations. One expensive option is to perform volumetric two photon calcium imaging along with a corresponding time consuming data analysis. As a low cost and time efficient alternative, we propose the use of independent component analysis to separate glomerular calcium activity recorded by wide field microscopy. This approach allows identification of glomeruli located at different depths within the antennal lobe, even if they overlap in the two-dimensional focal plane. Independent component analysis retrieves spatial and temporal information about all recorded glomeruli. This information can then be used to carry out all desirable quantitatively analyses.
Keywords:
Drosophila melanogaster,
antennal lobe,
glomeruli,
calcium imaging,
Independent Component Analysis
Conference:
Second Belgian Neuroinformatics Congress, Leuven, Belgium, 4 Dec - 4 Dec, 2015.
Presentation Type:
Poster Presentation
Topic:
Brain Imaging
Citation:
Franco
LM,
Hassan
BA and
Yaksi
E
(2015). Extraction of dendrite activity in dense neural circuits by independent component analysis.
Front. Neuroinform.
Conference Abstract:
Second Belgian Neuroinformatics Congress.
doi: 10.3389/conf.fninf.2015.19.00037
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Received:
30 Sep 2015;
Published Online:
17 Nov 2015.
*
Correspondence:
Mr. Emre Yaksi, Neuroelectronics Research Flanders (NERF), Leuven, Belgium, emreyaksi.nerf@gmail.com