Literature DB >> 17307287

The synchronization properties of a network of inhibitory interneurons depend on the biophysical model.

Angelo Di Garbo1, Michele Barbi, Santi Chillemi.   

Abstract

The synchronization properties of a pair of coupled fast spiking interneurons are studied by using the theory of weakly coupled oscillators. Four different biophysical models of the single fast spiking interneuron are used and the corresponding results are compared. It is shown that for a pair of identical coupled cells, the synchronization properties are model-dependent. In particular, the firing coherence of the network is strongly affected by the reversal potential, the kinetics of the inhibitory postsynaptic current and the electrical coupling; the activation properties of the sodium and potassium currents play a significant role too.

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Year:  2006        PMID: 17307287     DOI: 10.1016/j.biosystems.2006.08.011

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  6 in total

1.  Pyramidal neurons switch from integrators in vitro to resonators under in vivo-like conditions.

Authors:  Steven A Prescott; Stéphanie Ratté; Yves De Koninck; Terrence J Sejnowski
Journal:  J Neurophysiol       Date:  2008-10-01       Impact factor: 2.714

2.  Cooperation and competition of gamma oscillation mechanisms.

Authors:  Atthaphon Viriyopase; Raoul-Martin Memmesheimer; Stan Gielen
Journal:  J Neurophysiol       Date:  2016-02-24       Impact factor: 2.714

3.  Hypotheses relating to the function of the claustrum.

Authors:  John Smythies; Lawrence Edelstein; Vilayanur Ramachandran
Journal:  Front Integr Neurosci       Date:  2012-08-02

4.  Modeling of inter-neuronal coupling medium and its impact on neuronal synchronization.

Authors:  Muhammad Iqbal; Muhammad Rehan; Keum-Shik Hong
Journal:  PLoS One       Date:  2017-05-09       Impact factor: 3.240

5.  Robust Adaptive Synchronization of Ring Configured Uncertain Chaotic FitzHugh-Nagumo Neurons under Direction-Dependent Coupling.

Authors:  Muhammad Iqbal; Muhammad Rehan; Keum-Shik Hong
Journal:  Front Neurorobot       Date:  2018-02-26       Impact factor: 2.650

6.  Robust synchronization of delayed chaotic FitzHugh-Nagumo neurons under external electrical stimulation.

Authors:  Muhammad Rehan; Keum-Shik Hong
Journal:  Comput Math Methods Med       Date:  2012-11-01       Impact factor: 2.238

  6 in total

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