Literature DB >> 15489269

Chemical and electrical synapses perform complementary roles in the synchronization of interneuronal networks.

Nancy Kopell1, Bard Ermentrout.   

Abstract

Electrical and chemical synapses exist within the same networks of inhibitory cells, and each kind of synapse is known to be able to foster synchrony among oscillating neurons. Using numerical and analytical techniques, we show here that the electrical and inhibitory coupling play different roles in the synchronization of rhythms in inhibitory networks. The parameter range chosen is motivated by gamma rhythms, in which the gamma-aminobutyric acid type A (GABAA)-mediated inhibition is relatively strong. Under this condition, addition of a small electrical conductance can increase the degree of synchronization far more than a much larger increase in inhibitory conductance. The inhibitory synapses act to eliminate the effects of different initial conditions, whereas the electrical synapses mitigate suppression of firing due to heterogeneity in the network. Analytical techniques include tracking trajectories of coupled cells between spikes; the analysis shows that, in networks in which the degree of excitability is heterogeneous, inhibition can increase the dispersion of the voltages between spikes, whereas electrical coupling reduces such dispersion.

Entities:  

Mesh:

Year:  2004        PMID: 15489269      PMCID: PMC524455          DOI: 10.1073/pnas.0406343101

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  38 in total

1.  Dynamics of spiking neurons with electrical coupling.

Authors:  C C Chow; N Kopell
Journal:  Neural Comput       Date:  2000-07       Impact factor: 2.026

2.  A network of electrically coupled interneurons drives synchronized inhibition in neocortex.

Authors:  M Beierlein; J R Gibson; B W Connors
Journal:  Nat Neurosci       Date:  2000-09       Impact factor: 24.884

3.  Dynamics of spiking neurons connected by both inhibitory and electrical coupling.

Authors:  Timothy J Lewis; John Rinzel
Journal:  J Comput Neurosci       Date:  2003 May-Jun       Impact factor: 1.621

4.  Electrical synapses and synchrony: the role of intrinsic currents.

Authors:  Benjamin Pfeuty; Germán Mato; David Golomb; David Hansel
Journal:  J Neurosci       Date:  2003-07-16       Impact factor: 6.167

5.  A model of atropine-resistant theta oscillations in rat hippocampal area CA1.

Authors:  M J Gillies; R D Traub; F E N LeBeau; C H Davies; T Gloveli; E H Buhl; M A Whittington
Journal:  J Physiol       Date:  2002-09-15       Impact factor: 5.182

6.  Gamma oscillation by synaptic inhibition in a hippocampal interneuronal network model.

Authors:  X J Wang; G Buzsáki
Journal:  J Neurosci       Date:  1996-10-15       Impact factor: 6.167

7.  Synchronization and oscillatory dynamics in heterogeneous, mutually inhibited neurons.

Authors:  J A White; C C Chow; J Ritt; C Soto-Treviño; N Kopell
Journal:  J Comput Neurosci       Date:  1998-03       Impact factor: 1.621

8.  Synchrony in excitatory neural networks.

Authors:  D Hansel; G Mato; C Meunier
Journal:  Neural Comput       Date:  1995-03       Impact factor: 2.026

9.  Synchronized oscillations in interneuron networks driven by metabotropic glutamate receptor activation.

Authors:  M A Whittington; R D Traub; J G Jefferys
Journal:  Nature       Date:  1995-02-16       Impact factor: 49.962

10.  Network oscillations generated by balancing graded asymmetric reciprocal inhibition in passive neurons.

Authors:  Y Manor; F Nadim; S Epstein; J Ritt; E Marder; N Kopell
Journal:  J Neurosci       Date:  1999-04-01       Impact factor: 6.167

View more
  71 in total

1.  Engineering the synchronization of neuron action potentials using global time-delayed feedback stimulation.

Authors:  Craig G Rusin; Sarah E Johnson; Jaideep Kapur; John L Hudson
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2011-12-06

2.  Inhibitory coupling specifically generates emergent gamma oscillations in diverse cell types.

Authors:  Vikaas S Sohal; John R Huguenard
Journal:  Proc Natl Acad Sci U S A       Date:  2005-12-08       Impact factor: 11.205

3.  Gap-junctional coupling between neurogliaform cells and various interneuron types in the neocortex.

Authors:  Anna Simon; Szabolcs Oláh; Gábor Molnár; János Szabadics; Gábor Tamás
Journal:  J Neurosci       Date:  2005-07-06       Impact factor: 6.167

4.  Signal transmission between gap-junctionally coupled passive cables is most effective at an optimal diameter.

Authors:  Farzan Nadim; Jorge Golowasch
Journal:  J Neurophysiol       Date:  2006-06       Impact factor: 2.714

5.  On the dynamics of electrically-coupled neurons with inhibitory synapses.

Authors:  Juan Gao; Philip Holmes
Journal:  J Comput Neurosci       Date:  2006-09-19       Impact factor: 1.621

6.  On the application of "equation-free modelling" to neural systems.

Authors:  Carlo R Laing
Journal:  J Comput Neurosci       Date:  2006-02-20       Impact factor: 1.621

7.  Spike timing dependent plasticity promotes synchrony of inhibitory networks in the presence of heterogeneity.

Authors:  Sachin S Talathi; Dong-Uk Hwang; William L Ditto
Journal:  J Comput Neurosci       Date:  2008-02-23       Impact factor: 1.621

8.  Synchronization properties of networks of electrically coupled neurons in the presence of noise and heterogeneities.

Authors:  Srdjan Ostojic; Nicolas Brunel; Vincent Hakim
Journal:  J Comput Neurosci       Date:  2008-11-26       Impact factor: 1.621

9.  Dynamical relaying can yield zero time lag neuronal synchrony despite long conduction delays.

Authors:  Raul Vicente; Leonardo L Gollo; Claudio R Mirasso; Ingo Fischer; Gordon Pipa
Journal:  Proc Natl Acad Sci U S A       Date:  2008-10-28       Impact factor: 11.205

10.  Temporal information coding properties of a network of inhibitory interneurons.

Authors:  Angelo Di Garbo
Journal:  Cogn Process       Date:  2008-11-04
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.