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• W2334882341 abstract "Event Abstract Back to Event Independent components of reconstructed current sources reflect activity of individual cell populations Helena Głąbska1*, Jan Potworowski1, Szymon Łęski1 and Daniel Wójcik1 1 Department of Neurophysiology, Nencki Institute, Poland Local field potential (LFP) – the low-frequency part of the potential recorded extracellularly in the brain – reflects neural activity at the population level. The interpretation of LFP is complicated because it can mix activity from remote cells, on the order of millimeters from the electrode. To understand better the connection between the recordings and the local cell activity we expanded the thalamocortical model of Traub et al. (2005)[1] to compute simultaneous LFP [2], transmembrane currents and spiking activity. We used this model to study the information contained in independent components obtained from the reconstructed Current Source Density (CSD) [3], which smooths transmembrane currents, decomposed with Independent Component Analysis (ICA) [4]. We found out that three components obtained reliably matched well the activity of two dominating cell populations: superior pyramidal cells in layer 2/3 (rhythmic spiking) and tufted pyramids from layer 5 (intrinsically bursting). Interestingly, the pyramidal population from layer 2/3 could not be well described as a product of spatial profile and temporal activation, but was matched well by a sum of two such products which we recovered in two of the ICA components in our analysis, which seem to reflect different inputs on dendritic trees within the population. Research supported by grants 5428/B/P01/2010/39, POIG.02.03.00-00-003/09, POIG.02.03.00-00-018/08. 1. Traub RD, Contreras D, Cunningham MO, Murray H, LeBeau FEN, Roopun A, Bibbig A, Wilent WB, Higley MJ, Whittington MA: Single-Column Thalamocortical Network Model Exhibiting Gamma Oscillations, Sleep Spindles, and Epileptogenic Bursts. J Neurophysiol 2005, 93:2194-2232. 2.Holt GR, Koch C. Electrical interactions via the extracellular potential near cell bodies. J Comput Neurosci. 1999; 6:169‐184. 3.Potworowski J, Jakuczun W, Łęski S, Wójcik DK: Kernel current source density method. Neural Comput 2012, 24:541–575. 4. Łęski S, Kublik E, Świejkowski DA, Wróbel A, Wójcik DK: Extracting functional components of neural dynamics with Independent Component Analysis and inverse Current Source Density. J Comput Neurosci 2010, 29:459–473. Keywords: computational neuroscience, local field potential, neural activity, spiking neurons, cell population Conference: 5th INCF Congress of Neuroinformatics, Munich, Germany, 10 Sep - 12 Sep, 2012. Presentation Type: Poster Topic: Neuroinformatics Citation: Głąbska H, Potworowski J, Łęski S and Wójcik D (2014). Independent components of reconstructed current sources reflect activity of individual cell populations. Front. Neuroinform. Conference Abstract: 5th INCF Congress of Neuroinformatics. doi: 10.3389/conf.fninf.2014.08.00024 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: 21 Mar 2013; Published Online: 27 Feb 2014. * Correspondence: Dr. Helena Głąbska, Department of Neurophysiology, Nencki Institute, Warsaw, Poland, hglabska@nencki.gov.pl 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 Helena Głąbska Jan Potworowski Szymon Łęski Daniel Wójcik Google Helena Głąbska Jan Potworowski Szymon Łęski Daniel Wójcik Google Scholar Helena Głąbska Jan Potworowski Szymon Łęski Daniel Wójcik PubMed Helena Głąbska Jan Potworowski Szymon Łęski Daniel Wójcik 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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• W2334882341 title "Independent components of reconstructed current sources reflect activity of individual cell populations" @default.
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