Literature DB >> 12766429

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

Timothy J Lewis1, John Rinzel.   

Abstract

We study the dynamics of a pair of intrinsically oscillating leaky integrate-and-fire neurons (identical and noise-free) connected by combinations of electrical and inhibitory coupling. We use the theory of weakly coupled oscillators to examine how synchronization patterns are influenced by cellular properties (intrinsic frequency and the strength of spikes) and coupling parameters (speed of synapses and coupling strengths). We find that, when inhibitory synapses are fast and the electrotonic effect of the suprathreshold portion of the spike is large, increasing the strength of weak electrical coupling promotes synchrony. Conversely, when inhibitory synapses are slow and the electrotonic effect of the suprathreshold portion of the spike is small, increasing the strength of weak electrical coupling promotes antisynchrony (see Fig. 10). Furthermore, our results indicate that, given a fixed total coupling strength, either electrical coupling alone or inhibition alone is better at enhancing neural synchrony than a combination of electrical and inhibitory coupling. We also show that these results extend to moderate coupling strengths.

Mesh:

Year:  2003        PMID: 12766429     DOI: 10.1023/a:1023265027714

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  43 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.  Electrical coupling can prevent expression of adult-like properties in an embryonic neural circuit.

Authors:  Tiaza Bem; Yves Le Feuvre; John Simmers; Pierre Meyrand
Journal:  J Neurophysiol       Date:  2002-01       Impact factor: 2.714

3.  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

4.  Spatiotemporal patterns of gamma frequency oscillations tetanically induced in the rat hippocampal slice.

Authors:  M A Whittington; I M Stanford; S B Colling; J G Jefferys; R D Traub
Journal:  J Physiol       Date:  1997-08-01       Impact factor: 5.182

5.  Cholinergic activation and tonic excitation induce persistent gamma oscillations in mouse somatosensory cortex in vitro.

Authors:  E H Buhl; G Tamás; A Fisahn
Journal:  J Physiol       Date:  1998-11-15       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.  Model of synchronized population bursts in electrically coupled interneurons containing active dendritic conductances.

Authors:  R D Traub
Journal:  J Comput Neurosci       Date:  1995-12       Impact factor: 1.621

10.  Spike transmission and synchrony detection in networks of GABAergic interneurons.

Authors:  M Galarreta; S Hestrin
Journal:  Science       Date:  2001-06-22       Impact factor: 47.728

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  65 in total

1.  Effects of electrical coupling among layer 4 inhibitory interneurons on contrast-invariant orientation tuning.

Authors:  Pierre A Fortier
Journal:  Exp Brain Res       Date:  2010-11-11       Impact factor: 1.972

2.  Phase-response curves and synchronized neural networks.

Authors:  Roy M Smeal; G Bard Ermentrout; John A White
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-08-12       Impact factor: 6.237

3.  Control of neural synchrony using channelrhodopsin-2: a computational study.

Authors:  Sachin S Talathi; Paul R Carney; Pramod P Khargonekar
Journal:  J Comput Neurosci       Date:  2010-12-21       Impact factor: 1.621

4.  Recurrent antitopographic inhibition mediates competitive stimulus selection in an attention network.

Authors:  Dihui Lai; Sebastian Brandt; Harald Luksch; Ralf Wessel
Journal:  J Neurophysiol       Date:  2010-12-15       Impact factor: 2.714

Review 5.  Bursts modify electrical synaptic strength.

Authors:  Julie S Haas; Carole E Landisman
Journal:  Brain Res       Date:  2012-07-05       Impact factor: 3.252

6.  Mathematical Frameworks for Oscillatory Network Dynamics in Neuroscience.

Authors:  Peter Ashwin; Stephen Coombes; Rachel Nicks
Journal:  J Math Neurosci       Date:  2016-01-06       Impact factor: 1.300

Review 7.  Gap junctions: their importance for the dynamics of neural circuits.

Authors:  Lorena Rela; Lidia Szczupak
Journal:  Mol Neurobiol       Date:  2004-12       Impact factor: 5.590

8.  Two-cell to N-cell heterogeneous, inhibitory networks: precise linking of multistable and coherent properties.

Authors:  F K Skinner; H Bazzazi; S A Campbell
Journal:  J Comput Neurosci       Date:  2005-06       Impact factor: 1.621

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

Authors:  Nancy Kopell; Bard Ermentrout
Journal:  Proc Natl Acad Sci U S A       Date:  2004-10-15       Impact factor: 11.205

10.  Effect of Phase Response Curve Shape and Synaptic Driving Force on Synchronization of Coupled Neuronal Oscillators.

Authors:  Ramana Dodla; Charles J Wilson
Journal:  Neural Comput       Date:  2017-05-31       Impact factor: 2.026

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