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A new model for computing the evolution of the extracellular, innercellular and membrane potential simultaneously

  • Poster Presentation from Nineteenth Annual Computational Neuroscience Meeting: CNS*2010 San Antonio, TX, USA. 24-30 July 2010 In order to model extracellular potentials the Line-Source method provides [1] a very powerful and accurate approach. In this method transmembane fluxes are understood as sources for potential distributions which obey the Poission-equation with zero boundary conditions in the infinity. Its solutions reveal that the waveforms are proportional to local transmembrane net currents. The extracellular potentials are comparable small in amplitude and with the aid of their second special derivatives, it is possible to interpret them as additional fluxes to be included into the cable equation having an impact on the membrane potential of surrounding cells [2]. On this basis ephaptic interactions have been studied and have been considered to play a minor role in the network activity. This modeling study provides a new approach based on the first principle of the conservation of charges which leads to a generalized form of the cable equation taking into account the full three-dimensional detail of the cell’s geometry and the presence of the extracellular potential. So instead of coupling the compartment model and the model for extracellular potentials by means of the transmembrane currents, a non-linear system of partial differential equations is solved. Because the abstraction of deviding the cell’s geometry into compartments falls apart, it is possible to examine the contribution of the precise cell geometry to the signal processing while not neglecting the impact which could result from the extracellular potential. Some simulations of propagating action potentials on ramified geometries are going to be shown as well as the resulting distributions of extracellular action potentials.

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Metadaten
Verfasserangaben:Konstantinos Xylouris, Gabriel WittumGND
URN:urn:nbn:de:hebis:30-78302
DOI:https://doi.org/10.1186/1471-2202-11-S1-P139
Titel des übergeordneten Werkes (Englisch):BMC neuroscience
Dokumentart:Wissenschaftlicher Artikel
Sprache:Englisch
Jahr der Fertigstellung:2010
Jahr der Erstveröffentlichung:2010
Veröffentlichende Institution:Universitätsbibliothek Johann Christian Senckenberg
Datum der Freischaltung:10.08.2010
Jahrgang:11(Suppl 1)
Ausgabe / Heft:P139
Bemerkung:
© 2010 Xylouris and Wittum; licensee BioMed Central Ltd.
Quelle:http://www.biomedcentral.com/1471-2202/11/S1/P139
HeBIS-PPN:226000591
Institute:keine Angabe Fachbereich / keine Angabe Institut
DDC-Klassifikation:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Lizenz (Deutsch):License LogoDeutsches Urheberrecht