Literature DB >> 11387047

The effects of spike frequency adaptation and negative feedback on the synchronization of neural oscillators.

B Ermentrout1, M Pascal, B Gutkin.   

Abstract

There are several different biophysical mechanisms for spike frequency adaptation observed in recordings from cortical neurons. The two most commonly used in modeling studies are a calcium-dependent potassium current I(ahp) and a slow voltage-dependent potassium current, I(m). We show that both of these have strong effects on the synchronization properties of excitatorily coupled neurons. Furthermore, we show that the reasons for these effects are different. We show through an analysis of some standard models, that the M-current adaptation alters the mechanism for repetitive firing, while the afterhyperpolarization adaptation works via shunting the incoming synapses. This latter mechanism applies with a network that has recurrent inhibition. The shunting behavior is captured in a simple two-variable reduced model that arises near certain types of bifurcations. A one-dimensional map is derived from the simplified model.

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Year:  2001        PMID: 11387047     DOI: 10.1162/08997660152002861

Source DB:  PubMed          Journal:  Neural Comput        ISSN: 0899-7667            Impact factor:   2.026


  91 in total

1.  Spike generating dynamics and the conditions for spike-time precision in cortical neurons.

Authors:  Boris Gutkin; G Bard Ermentrout; Michael Rudolph
Journal:  J Comput Neurosci       Date:  2003 Jul-Aug       Impact factor: 1.621

2.  Synchronization of strongly coupled excitatory neurons: relating network behavior to biophysics.

Authors:  Corey D Acker; Nancy Kopell; John A White
Journal:  J Comput Neurosci       Date:  2003 Jul-Aug       Impact factor: 1.621

3.  Responses of recurrent nets of asymmetric ON and OFF cells.

Authors:  Jérémie Lefebvre; André Longtin; Victor G Leblanc
Journal:  J Biol Phys       Date:  2010-11-20       Impact factor: 1.365

4.  Sub- and suprathreshold adaptation currents have opposite effects on frequency tuning.

Authors:  Tara Deemyad; Jens Kroeger; Maurice J Chacron
Journal:  J Physiol       Date:  2012-06-25       Impact factor: 5.182

Review 5.  Neurophysiological and computational principles of cortical rhythms in cognition.

Authors:  Xiao-Jing Wang
Journal:  Physiol Rev       Date:  2010-07       Impact factor: 37.312

6.  A discrete time neural network model with spiking neurons: II: dynamics with noise.

Authors:  B Cessac
Journal:  J Math Biol       Date:  2010-07-24       Impact factor: 2.259

7.  Phase-resetting curve determines how BK currents affect neuronal firing.

Authors:  Cheng Ly; Tamar Melman; Alison L Barth; G Bard Ermentrout
Journal:  J Comput Neurosci       Date:  2010-06-02       Impact factor: 1.621

8.  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

9.  Neural adaptation facilitates oscillatory responses to static inputs in a recurrent network of ON and OFF cells.

Authors:  Jeremie Lefebvre; Andre Longtin; Victor G LeBlanc
Journal:  J Comput Neurosci       Date:  2010-12-18       Impact factor: 1.621

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

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