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This article is part of the supplement: Nineteenth Annual Computational Neuroscience Meeting: CNS*2010

Open Access Open Badges Poster Presentation

Computational modeling of Basal Ganglia: towards a mechanism of high frequency stimulation

Félix Njap12*, Andréas Moser3, Simon Vogt1 and Ulrich Hofmann1

Author Affiliations

1 Institute for Signal Processing, University of Lübeck, Lübeck, D-23538, Germany

2 Graduate School for Computing medicine and Life Sciences, Lübeck, D-23538, Germany

3 Department of Neurology, University of Lübeck, Lübeck, D-23538, Germany

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BMC Neuroscience 2010, 11(Suppl 1):P113  doi:10.1186/1471-2202-11-S1-P113

The electronic version of this article is the complete one and can be found online at:

Published:20 July 2010

© 2010 Njap et al; licensee BioMed Central Ltd.

Poster Presentation

Deep Brain Stimulation(DBS) with 130Hz represents an effective therapy to alleviate symptoms of some neurodegenerative diseases such as Parkinson syndrome [1]. However the mechanism underlying the observed improvement in patient's symptoms is still under dispute. Modeling of its mechanism was first done with the Albin-Delong [2] model, which assumed two discriminated feedforward projections, from the input stage Striatum to the output stage Globus pallidus internal (GPi) and Substantia Nigra pars reticulata (SNr). However, this influential contribution neither took motor control into account nor the evidence for a selective of effect high frequency stimulation [3-5]. This study tries to model the underlying network with increasing realistic complexity and presents a spiking network model based on Izhikevich type neurons [6]. Our currently simulated model examines the firing patterns variability between GABAergic STN neuron projections depending on the firing rate. It shows features like synchronous, rythmic population spike found in experimental data of pyramidal interneuronal network [7].


This work was supported by the Graduate School for Computing in Medicine and Life Sciences funded by Germany’s Excellence Initiative [DFG GSC 235/1].


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