Computational modeling of GABAA receptor-mediated paired-pulse inhibition in the dentate gyrus View Full Text


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Article Info

DATE

2010-02-23

AUTHORS

Peter Jedlicka, Thomas Deller, Stephan W. Schwarzacher

ABSTRACT

Paired-pulse inhibition (PPI) of the population spike observed in extracellular field recordings is widely used as a read-out of hippocampal network inhibition. PPI reflects GABAA receptor-mediated inhibition of principal neurons through local interneurons. However, because of its polysynaptic nature, it is difficult to assign PPI changes to precise synaptic mechanisms. Here we used a detailed network model of the dentate gyrus to simulate PPI of granule cell action potentials and analyze its network properties. Our computational analysis indicates that PPI results mainly from a combination of perisomatic feed-forward and feedback inhibition of granule cells by basket cells. Feed-forward inhibition mediated by basket cells appeared to be the most significant source of PPI. Our simulations suggest that PPI depends more on somatic than on dendritic inhibition of granule cells. Furthermore, PPI was modulated by changes in GABAA reversal potential (EGABA) and by alterations in intrinsic excitability of granule cells. In summary, computer modeling provides a useful tool for determining the role of synaptic and intrinsic cellular mechanisms in paired-pulse field potential responses. More... »

PAGES

509-519

References to SciGraph publications

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  • 2004-05-30. Routing of spike series by dynamic circuits in the hippocampus in NATURE
  • 1999-05. Role of Multiple Calcium and Calcium-Dependent Conductances in Regulation of Hippocampal Dentate Granule Cell Excitability in JOURNAL OF COMPUTATIONAL NEUROSCIENCE
  • 2004-07. ModelDB: A Database to Support Computational Neuroscience in JOURNAL OF COMPUTATIONAL NEUROSCIENCE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10827-010-0214-y

    DOI

    http://dx.doi.org/10.1007/s10827-010-0214-y

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1033329845

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/20177763


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