Literature DB >> 2321028

The effect of electrical coupling on the frequency of model neuronal oscillators.

T B Kepler1, E Marder, L F Abbott.   

Abstract

Neurons with oscillatory properties are a common feature of the nervous system, but little is known about how neural oscillators shape the behavior of neuronal networks or how network interactions influence the properties of neural oscillators. Mathematical models are used to examine the effect of electrically coupling an oscillatory neuron to a second neuron that is either silent or tonically firing. Models of oscillatory neurons with varying degrees of complexity show that this coupling can either increase or decrease the frequency of an oscillator, depending on its membrane potential wave form, the state of the neuron to which it is coupled, and the strength of the coupling. Thus, electrical coupling provides a flexible mechanism for modifying the behavior of an oscillatory neural network.

Mesh:

Year:  1990        PMID: 2321028     DOI: 10.1126/science.2321028

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  39 in total

1.  Electrical coupling and excitatory synaptic transmission between rhythmogenic respiratory neurons in the preBötzinger complex.

Authors:  J C Rekling; X M Shao; J L Feldman
Journal:  J Neurosci       Date:  2000-12-01       Impact factor: 6.167

2.  Interaction between metabotropic and ionotropic glutamate receptors regulates neuronal network activity.

Authors:  P Krieger; J Hellgren-Kotaleski; P Kettunen; A J El Manira
Journal:  J Neurosci       Date:  2000-07-15       Impact factor: 6.167

3.  State-dependent effects of Na channel noise on neuronal burst generation.

Authors:  Peter F Rowat; Robert C Elson
Journal:  J Comput Neurosci       Date:  2004 Mar-Apr       Impact factor: 1.621

4.  The electrical coupling of two simple oscillators: load and acceleration effects.

Authors:  C Meunier
Journal:  Biol Cybern       Date:  1992       Impact factor: 2.086

5.  The long-term resetting of a brainstem pacemaker nucleus by synaptic input: a model for sensorimotor adaptation.

Authors:  Jörg Oestreich; Harold H Zakon
Journal:  J Neurosci       Date:  2002-09-15       Impact factor: 6.167

6.  Chaos may enhance information transmission in the inferior olive.

Authors:  Nicolas Schweighofer; Kenji Doya; Hidekazu Fukai; Jean Vianney Chiron; Tetsuya Furukawa; Mitsuo Kawato
Journal:  Proc Natl Acad Sci U S A       Date:  2004-03-22       Impact factor: 11.205

7.  Rhythmogenic effects of weak electrotonic coupling in neuronal models.

Authors:  A Sherman; J Rinzel
Journal:  Proc Natl Acad Sci U S A       Date:  1992-03-15       Impact factor: 11.205

Review 8.  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

9.  Computational model of electrically coupled, intrinsically distinct pacemaker neurons.

Authors:  Cristina Soto-Treviño; Pascale Rabbah; Eve Marder; Farzan Nadim
Journal:  J Neurophysiol       Date:  2005-02-23       Impact factor: 2.714

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.