Literature DB >> 23519443

Vestibular integrator neurons have quadratic functions due to voltage dependent conductances.

Christophe Magnani1, Daniel Eugène, Erwin Idoux, Lee E Moore.   

Abstract

The nonlinear properties of the dendrites of the prepositus hypoglossi nucleus (PHN) neurons are essential for the operation of the vestibular neural integrator that converts a head velocity signal to one that controls eye position. A novel system of frequency probing, namely quadratic sinusoidal analysis (QSA), was used to decode the intrinsic nonlinear behavior of these neurons under voltage clamp conditions. Voltage clamp currents were measured at harmonic and interactive frequencies using specific nonoverlapping stimulation frequencies. Eigenanalysis of the QSA matrix reduces it to a remarkably compact processing unit, composed of just one or two dominant components (eigenvalues). The QSA matrix of rat PHN neurons provides signatures of the voltage dependent conductances for their particular dendritic and somatic distributions. An important part of the nonlinear response is due to the persistent sodium conductance (gNaP), which is likely to be essential for sustained effects needed for a neural integrator. It was found that responses in the range of 10 mV peak to peak could be well described by quadratic nonlinearities suggesting that effects of higher degree nonlinearities would add only marginal improvement. Therefore, the quadratic response is likely to sufficiently capture most of the nonlinear behavior of neuronal systems except for extremely large synaptic inputs. Thus, neurons have two distinct linear and quadratic functions, which shows that piecewise linear + quadratic analysis is much more complete than just piecewise linear analysis; in addition quadratic analysis can be done at a single holding potential. Furthermore, the nonlinear neuronal responses contain more frequencies over a wider frequency band than the input signal. As a consequence, they convert limited amplitude and bandwidth input signals to wider bandwidth and more complex output responses. Finally, simulations at subthreshold membrane potentials with realistic PHN neuron models suggest that the quadratic functions are fundamentally dominated by active dendritic structures and persistent sodium conductances.

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Year:  2013        PMID: 23519443     DOI: 10.1007/s10827-013-0451-y

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  21 in total

1.  NMDA-induced dendritic oscillations during a soma voltage clamp of chick spinal neurons.

Authors:  L E Moore; N Chub; J Tabak; M O'Donovan
Journal:  J Neurosci       Date:  1999-10-01       Impact factor: 6.167

2.  Resonance and selective communication via bursts in neurons having subthreshold oscillations.

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3.  Robust persistent neural activity in a model integrator with multiple hysteretic dendrites per neuron.

Authors:  Mark S Goldman; Joseph H Levine; Guy Major; David W Tank; H S Seung
Journal:  Cereb Cortex       Date:  2003-11       Impact factor: 5.357

4.  Tuning and timing of excitation and inhibition in primary auditory nerve fibers.

Authors:  Edwin R Lewis; Kenneth R Henry; Walter M Yamada
Journal:  Hear Res       Date:  2002-09       Impact factor: 3.208

5.  Dynamics of rat entorhinal cortex layer II and III cells: characteristics of membrane potential resonance at rest predict oscillation properties near threshold.

Authors:  I Erchova; G Kreck; U Heinemann; A V M Herz
Journal:  J Physiol       Date:  2004-07-22       Impact factor: 5.182

6.  Contributions of Ih to feature selectivity in layer II stellate cells of the entorhinal cortex.

Authors:  Julie S Haas; Alan D Dorval; John A White
Journal:  J Comput Neurosci       Date:  2007-04       Impact factor: 1.621

7.  Control of neuronal persistent activity by voltage-dependent dendritic properties.

Authors:  Erwin Idoux; Daniel Eugène; Antoine Chambaz; Christophe Magnani; John A White; Lee E Moore
Journal:  J Neurophysiol       Date:  2008-07-16       Impact factor: 2.714

8.  Quadratic sinusoidal analysis of voltage clamped neurons.

Authors:  Christophe Magnani; Lee E Moore
Journal:  J Comput Neurosci       Date:  2011-04-16       Impact factor: 1.621

9.  Sinusoidal voltage clamp of the Hodgkin-Huxley model.

Authors:  R FitzHugh
Journal:  Biophys J       Date:  1983-04       Impact factor: 4.033

Review 10.  Neuronal arithmetic.

Authors:  R Angus Silver
Journal:  Nat Rev Neurosci       Date:  2010-07       Impact factor: 34.870

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  1 in total

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

Authors:  Christophe Magnani; Michael N Economo; John A White; Lee E Moore
Journal:  Front Cell Neurosci       Date:  2014-08-19       Impact factor: 5.505

  1 in total

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