Literature DB >> 16597718

Correlation-induced synchronization of oscillations in olfactory bulb neurons.

Roberto F Galán1, Nicolas Fourcaud-Trocmé, G Bard Ermentrout, Nathaniel N Urban.   

Abstract

Oscillations are a common feature of odor-evoked and spontaneous activity in the olfactory system in vivo and in vitro and are thought to play an important role in information processing and memory in a variety of brain areas. Theoretical and experimental studies have described several mechanisms by which oscillations can be generated and synchronized. Here, we investigate the hypothesis that correlated noisy inputs are able to generate synchronous oscillations in olfactory bulb mitral cells in vitro. We consider several alternative mechanisms and conclude that olfactory bulb synchronous oscillations are likely to arise because of the response of uncoupled oscillating neurons to aperiodic but correlated inputs. This mechanism has been described theoretically, but we provide the first experimental evidence that such a mechanism may underlie synchronization in real neurons. In physiological experiments, we show that this mechanism can generate gamma-band oscillations in populations of olfactory bulb mitral cells. This mechanism synchronizes oscillatory firing by using shared fast fluctuations in stochastic inputs across neurons, without requiring any synaptic or electrical coupling. We discuss the properties and limitations of synchronization by this mechanism and suggest that it may underlie fast oscillations in many brain areas.

Mesh:

Year:  2006        PMID: 16597718      PMCID: PMC6674124          DOI: 10.1523/JNEUROSCI.4605-05.2006

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  81 in total

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Journal:  Physiol Rev       Date:  2010-07       Impact factor: 37.312

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.  Phase resetting curves and oscillatory stability in interneurons of rat somatosensory cortex.

Authors:  T Tateno; H P C Robinson
Journal:  Biophys J       Date:  2007-01-15       Impact factor: 4.033

4.  Lateral dendritic shunt inhibition can regularize mitral cell spike patterning.

Authors:  François David; Christiane Linster; Thomas A Cleland
Journal:  J Comput Neurosci       Date:  2007-12-01       Impact factor: 1.621

5.  Stochastic dynamics of uncoupled neural oscillators: Fokker-Planck studies with the finite element method.

Authors:  Roberto F Galán; G Bard Ermentrout; Nathaniel N Urban
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2007-11-15

6.  Partial phase synchronization of neural populations due to random Poisson inputs.

Authors:  Per Danzl; Robert Hansen; Guillaume Bonnet; Jeff Moehlis
Journal:  J Comput Neurosci       Date:  2007-12-28       Impact factor: 1.621

7.  Synchronization dynamics of two coupled neural oscillators receiving shared and unshared noisy stimuli.

Authors:  Cheng Ly; G Bard Ermentrout
Journal:  J Comput Neurosci       Date:  2008-11-26       Impact factor: 1.621

8.  A kinetic theory approach to capturing interneuronal correlation: the feed-forward case.

Authors:  Chin-Yueh Liu; Duane Q Nykamp
Journal:  J Comput Neurosci       Date:  2008-11-06       Impact factor: 1.621

9.  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

10.  Quantifying interactions between real oscillators with information theory and phase models: application to cardiorespiratory coupling.

Authors:  Yenan Zhu; Yee-Hsee Hsieh; Rishi R Dhingra; Thomas E Dick; Frank J Jacono; Roberto F Galán
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2013-02-13
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