Comparing realistic subthalamic nucleus neuron models


The mechanism of action of clinically effective electrical high frequency stimulation is still under debate. However, recent evidence points at the specific activation of GABA-ergic ion channels. Using a computational approach, we analyze temporal properties of the spike trains emitted by biologically realistic neurons of the subthalamic nucleus (STN) as a function of GABA-ergic synaptic input conductances. Our contribution is based on a model proposed by Rubin and Terman and exhibits a wide variety of different firing patterns, silent, low spiking, moderate spiking and intense spiking activity. We observed that most of the cells in our network turn to silent mode when we increase the GABAA input conductance above the threshold of 3.75 mS/cm2. On the other hand, insignificant changes in firing activity are observed when the input conductance is low or close to zero. We thus reproduce Rubin's model with vanishing synaptic conductances. To quantitatively compare spike trains from the original model with the modified model at different conductance levels, we apply four different (dis)similarity measures between them. We observe that Mahalanobis distance, Victor-Purpura metric, and Interspike Interval distribution are sensitive to different firing regimes, whereas Mutual Information seems undiscriminative for these functional changes.

Publication DOI:
Divisions: College of Engineering & Physical Sciences
Additional Information: © AIP 2011. Comparing Realistic Subthalamic Nucleus Neuron Models AIP Conference Proceedings 1371, 102 (2011); Felix Njap, Jens C. Claussen, Andreas Moser, and Ulrich G. Hofmann
Event Title: 2011 International Symposium on Computational Models for Life Sciences, CMLS-11
Event Type: Other
Event Dates: 2011-10-11 - 2011-10-13
Uncontrolled Keywords: γ-aminobutyric acid (GABAA) receptors,Computational model,Similarity measures,Spike-trains,Physics and Astronomy(all)
ISBN: 9780735409316
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://aip.sci ... .1063/1.3596632 (Publisher URL)
PURE Output Type: Conference contribution
Published Date: 2011-07-13
Authors: Njap, Felix
Claussen, Jens C. (ORCID Profile 0000-0002-9870-4924)
Moser, Andreas
Hofmann, Ulrich G.



Version: Published Version

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