Amplification of asynchronous inhibition-mediated synchronization by feedback in recurrent networks

Marella, S and Ermentrout, B (2010) Amplification of asynchronous inhibition-mediated synchronization by feedback in recurrent networks. PLoS Computational Biology, 6 (2). ISSN 1553-734X

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Abstract

Synchronization of 30-80 Hz oscillatory activity of the principle neurons in the olfactory bulb (mitral cells) is believed to be important for odor discrimination. Previous theoretical studies of these fast rhythms in other brain areas have proposed that principle neuron synchrony can be mediated by short-latency, rapidly decaying inhibition. This phasic inhibition provides a narrow time window for the principle neurons to fire, thus promoting synchrony. However, in the olfactory bulb, the inhibitory granule cells produce long lasting, small amplitude, asynchronous and aperiodic inhibitory input and thus the narrow time window that is required to synchronize spiking does not exist. Instead, it has been suggested that correlated output of the granule cells could serve to synchronize uncoupled mitral cells through a mechanism called "stochastic synchronization", wherein the synchronization arises through correlation of inputs to two neural oscillators. Almost all work on synchrony due to correlations presumes that the correlation is imposed and fixed. Building on theory and experiments that we and others have developed, we show that increased synchrony in the mitral cells could produce an increase in granule cell activity for those granule cells that share a synchronous group of mitral cells. Common granule cell input increases the input correlation to the mitral cells and hence their synchrony by providing a positive feedback loop in correlation. Thus we demonstrate the emergence and temporal evolution of input correlation in recurrent networks with feedback. We explore several theoretical models of this idea, ranging from spiking models to an analytically tractable model. © 2010 Marella, Ermentrout.

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Details

Item Type:	Article
Status:	Published
Creators/Authors:	Creators Email Pitt Username ORCID Marella, S Ermentrout, B
Contributors:	Contribution Contributors Name Email Pitt Username ORCID Editor Gutkin, Boris S. UNSPECIFIED UNSPECIFIED UNSPECIFIED
Centers:	Other Centers, Institutes, Offices, or Units > Center for Neuroscience
Date:	1 January 2010
Date Type:	Publication
Journal or Publication Title:	PLoS Computational Biology
Volume:	6
Number:	2
DOI or Unique Handle:	10.1371/journal.pcbi.1000679
Schools and Programs:	Dietrich School of Arts and Sciences > Mathematics
Refereed:	Yes
ISSN:	1553-734X
MeSH Headings:	Action Potentials--physiology; Algorithms; Animals; Cortical Synchronization--methods; Feedback, Physiological--physiology; Humans; Models, Neurological; Olfactory Pathways--cytology; Olfactory Pathways--physiology; Stochastic Processes
Other ID:	NLM PMC2824757
PubMed Central ID:	PMC2824757
PubMed ID:	20174555
Date Deposited:	03 Aug 2012 18:48
Last Modified:	20 Dec 2018 00:55
URI:	http://d-scholarship.pitt.edu/id/eprint/13331

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