Literature DB >> 9573408

Spike frequency adaptation affects the synchronization properties of networks of cortical oscillations.

S M Crook1, G B Ermentrout, J M Bower.   

Abstract

Oscillations in many regions of the cortex have common temporal characteristics with dominant frequencies centered around the 40 Hz (gamma) frequency range and the 5-10 Hz (theta) frequency range. Experimental results also reveal spatially synchronous oscillations, which are stimulus dependent (Gray & Singer, 1987; Gray, Konig, Engel, & Singer, 1989; Engel, Konig, Kreiter, Schillern, & Singer, 1992). This rhythmic activity suggests that the coherence of neural populations is a crucial feature of cortical dynamics (Gray, 1994). Using both simulations and a theoretical coupled oscillator approach, we demonstrate that the spike frequency adaptation seen in many pyramidal cells plays a subtle but important role in the dynamics of cortical networks. Without adaptation, excitatory connections among model pyramidal cells are desynchronizing. However, the slow processes associated with adaptation encourage stable synchronous behavior.

Mesh:

Year:  1998        PMID: 9573408     DOI: 10.1162/089976698300017511

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


  29 in total

1.  Alpha-frequency rhythms desynchronize over long cortical distances: a modeling study.

Authors:  S R Jones; D J Pinto; T J Kaper; N Kopell
Journal:  J Comput Neurosci       Date:  2000 Nov-Dec       Impact factor: 1.621

2.  New roles for the gamma rhythm: population tuning and preprocessing for the Beta rhythm.

Authors:  Mette S Olufsen; Miles A Whittington; Marcelo Camperi; Nancy Kopell
Journal:  J Comput Neurosci       Date:  2003 Jan-Feb       Impact factor: 1.621

3.  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

Review 4.  Neurophysiological and computational principles of cortical rhythms in cognition.

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

5.  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

6.  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

7.  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

8.  The onset and extinction of neural spiking: a numerical bifurcation approach.

Authors:  W Govaerts; B Sautois
Journal:  J Comput Neurosci       Date:  2005-06       Impact factor: 1.621

9.  Background gamma rhythmicity and attention in cortical local circuits: a computational study.

Authors:  Christoph Börgers; Steven Epstein; Nancy J Kopell
Journal:  Proc Natl Acad Sci U S A       Date:  2005-05-03       Impact factor: 11.205

10.  Mechanisms of coherent activity in hippocampus and entorhinal cortex.

Authors:  John A White; Tilman J Kispersky; Fernando R Fernandez
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009
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