Abstract
Event Abstract Back to Event Input dependent population dynamics in a model of the inhibitory spiking network of medium spiny neurons in the striatum. A. Ponzi1* and J. Wickens1 1 OIST, Japan We investigate a model of an inhibitory spiking network of striatal GABAergic medium spiny neurons (MSN) by computer simulation. We show that the network exhibits complex spatial temporal population dynamics produced by the occurrence of episodically firing cell assemblies even when the inputs from the excitatory cortical cells are composed of many independent Poisson spiking processes, providing the excitatory inputs obey certain conditions. We also show that cell assembly dynamics can occur for several different choices of MSN cell model and is thus a network generated property, while details of MSN cell spiking statistics do depend on the cell model. When cell input firing rates are dynamically variable we show the network can display input dependent population dynamics and investigate how this depends on excitatory input parameters and also on inhibitory network parameters such as connectivity. We discuss how our results may relate to striatal cognitive functions in behavioural tasks. Conference: EMBO workshop: Gaba Signalling and Brain Networks , Amsterdam, Netherlands, 30 Jun - 2 Jul, 2010. Presentation Type: Poster Presentation Topic: Posters Citation: Ponzi A and Wickens J (2010). Input dependent population dynamics in a model of the inhibitory spiking network of medium spiny neurons in the striatum.. Conference Abstract: EMBO workshop: Gaba Signalling and Brain Networks . doi: 10.3389/conf.fnins.2010.15.00018 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: 24 Jun 2010; Published Online: 24 Jun 2010. * Correspondence: A. Ponzi, OIST, Okinawa, Japan, aponz1@oist.jp 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 A. Ponzi J. Wickens Google A. Ponzi J. Wickens Google Scholar A. Ponzi J. Wickens PubMed A. Ponzi J. Wickens 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.
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