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• W4246356679 abstract "Event Abstract Back to Event Extraction of dendrite activity in dense neural circuits by independent component analysis Luis M. Franco1, 2, Bassem A. Hassan2 and Emre Yaksi1, 3* 1 Neuroelectronics Research Flanders (NERF), Belgium 2 VIB Center for the Biology of Disease, Belgium 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. Figure 1 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 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 30 Sep 2015; Published Online: 17 Nov 2015. * Correspondence: Mr. Emre Yaksi, Neuroelectronics Research Flanders (NERF), Leuven, Belgium, emreyaksi.nerf@gmail.com Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Luis M Franco Bassem A Hassan Emre Yaksi Google Luis M Franco Bassem A Hassan Emre Yaksi Google Scholar Luis M Franco Bassem A Hassan Emre Yaksi PubMed Luis M Franco Bassem A Hassan Emre Yaksi Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page." @default.
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• W4246356679 title "Extraction of dendrite activity in dense neural circuits by independent component analysis" @default.
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