Nonlinear properties of medial entorhinal cortex neurons reveal frequency selectivity during multi-sinusoidal stimulation.

The neurons in layer II of the medial entorhinal cortex are part of the grid cell network involved in the representation of space. Many of these neurons are likely to be stellate cells with specific oscillatory and firing properties important for their function. A fundamental understanding of the no...

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Main Authors: Christophe eMagnani, Mike eEconomo, John A White, Lee E Moore
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-08-01
Series:Frontiers in Cellular Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncel.2014.00239/full
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author Christophe eMagnani
Mike eEconomo
John A White
Lee E Moore
author_facet Christophe eMagnani
Mike eEconomo
John A White
Lee E Moore
author_sort Christophe eMagnani
collection DOAJ
description The neurons in layer II of the medial entorhinal cortex are part of the grid cell network involved in the representation of space. Many of these neurons are likely to be stellate cells with specific oscillatory and firing properties important for their function. A fundamental understanding of the nonlinear basis of these oscillatory properties is critical for the development of theories of grid cell firing. In order to evaluate the behavior of stellate neurons, measurements of their quadratic responses were used to estimate a second order Volterra kernel. This paper uses an operator theory, termed quadratic sinusoidal analysis (QSA), which quantitatively determines that the quadratic response accounts for a major part of the nonlinearity observed at membrane potential levels characteristic of normal synaptic events. Practically, neurons were probed with multi-sinusoidal stimulations to determine a Hermitian operator that captures the quadratic function in the frequency domain. We have shown that the frequency content of the stimulation plays an important role in the characteristics of the nonlinear response, which can distort the linear response as well. Stimulations with enhanced low frequency amplitudes evoked a different nonlinear response than broadband profiles. The nonlinear analysis was also applied to spike frequencies and it was shown that the nonlinear response of subthreshold membrane potential at resonance frequencies near the threshold is similar to the nonlinear response of spike trains.
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spelling doaj.art-ea24f125e2234c748c88497adb559f112022-12-21T19:05:42ZengFrontiers Media S.A.Frontiers in Cellular Neuroscience1662-51022014-08-01810.3389/fncel.2014.00239105741Nonlinear properties of medial entorhinal cortex neurons reveal frequency selectivity during multi-sinusoidal stimulation.Christophe eMagnani0Mike eEconomo1John A White2Lee E Moore3CNRSUniversity of UtahUniversity of UtahCNRSThe neurons in layer II of the medial entorhinal cortex are part of the grid cell network involved in the representation of space. Many of these neurons are likely to be stellate cells with specific oscillatory and firing properties important for their function. A fundamental understanding of the nonlinear basis of these oscillatory properties is critical for the development of theories of grid cell firing. In order to evaluate the behavior of stellate neurons, measurements of their quadratic responses were used to estimate a second order Volterra kernel. This paper uses an operator theory, termed quadratic sinusoidal analysis (QSA), which quantitatively determines that the quadratic response accounts for a major part of the nonlinearity observed at membrane potential levels characteristic of normal synaptic events. Practically, neurons were probed with multi-sinusoidal stimulations to determine a Hermitian operator that captures the quadratic function in the frequency domain. We have shown that the frequency content of the stimulation plays an important role in the characteristics of the nonlinear response, which can distort the linear response as well. Stimulations with enhanced low frequency amplitudes evoked a different nonlinear response than broadband profiles. The nonlinear analysis was also applied to spike frequencies and it was shown that the nonlinear response of subthreshold membrane potential at resonance frequencies near the threshold is similar to the nonlinear response of spike trains.http://journal.frontiersin.org/Journal/10.3389/fncel.2014.00239/fullEntorhinal Cortexgrid cellsresonancefrequency domainstellate neuronsquadratic sinusoidal analysis
spellingShingle Christophe eMagnani
Mike eEconomo
John A White
Lee E Moore
Nonlinear properties of medial entorhinal cortex neurons reveal frequency selectivity during multi-sinusoidal stimulation.
Frontiers in Cellular Neuroscience
Entorhinal Cortex
grid cells
resonance
frequency domain
stellate neurons
quadratic sinusoidal analysis
title Nonlinear properties of medial entorhinal cortex neurons reveal frequency selectivity during multi-sinusoidal stimulation.
title_full Nonlinear properties of medial entorhinal cortex neurons reveal frequency selectivity during multi-sinusoidal stimulation.
title_fullStr Nonlinear properties of medial entorhinal cortex neurons reveal frequency selectivity during multi-sinusoidal stimulation.
title_full_unstemmed Nonlinear properties of medial entorhinal cortex neurons reveal frequency selectivity during multi-sinusoidal stimulation.
title_short Nonlinear properties of medial entorhinal cortex neurons reveal frequency selectivity during multi-sinusoidal stimulation.
title_sort nonlinear properties of medial entorhinal cortex neurons reveal frequency selectivity during multi sinusoidal stimulation
topic Entorhinal Cortex
grid cells
resonance
frequency domain
stellate neurons
quadratic sinusoidal analysis
url http://journal.frontiersin.org/Journal/10.3389/fncel.2014.00239/full
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AT mikeeeconomo nonlinearpropertiesofmedialentorhinalcortexneuronsrevealfrequencyselectivityduringmultisinusoidalstimulation
AT johnawhite nonlinearpropertiesofmedialentorhinalcortexneuronsrevealfrequencyselectivityduringmultisinusoidalstimulation
AT leeemoore nonlinearpropertiesofmedialentorhinalcortexneuronsrevealfrequencyselectivityduringmultisinusoidalstimulation