Literature DB >> 15014109

Neuronal integration of synaptic input in the fluctuation-driven regime.

Alexandre Kuhn1, Ad Aertsen, Stefan Rotter.   

Abstract

During sensory stimulation, visual cortical neurons undergo massive synaptic bombardment. This increases their input conductance, and action potentials mainly result from membrane potential fluctuations. To understand the response properties of neurons operating in this regime, we studied a model neuron with synaptic inputs represented by transient membrane conductance changes. We show that with a simultaneous increase of excitation and inhibition, the firing rate first increases, reaches a maximum, and then decreases at higher input rates. Comodulation of excitation and inhibition, therefore, does not provide a straightforward way of controlling the neuronal firing rate, in contrast to coding mechanisms postulated previously. The synaptically induced conductance increase plays a key role in this effect: it decreases firing rate by shunting membrane potential fluctuations, and increases it by reducing the membrane time constant, allowing for faster membrane potential transients. These findings do not depend on details of the model and, hence, are relevant to cells of other cortical areas as well.

Mesh:

Year:  2004        PMID: 15014109      PMCID: PMC6729484          DOI: 10.1523/JNEUROSCI.3349-03.2004

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


  47 in total

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2.  Signal transfer in passive dendrites with nonuniform membrane conductance.

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3.  Exact digital simulation of time-invariant linear systems with applications to neuronal modeling.

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5.  Intracortical excitation of spiny neurons in layer 4 of cat striate cortex in vitro.

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Review 6.  Neural mechanisms of orientation selectivity in the visual cortex.

Authors:  D Ferster; K D Miller
Journal:  Annu Rev Neurosci       Date:  2000       Impact factor: 12.449

7.  Membrane potential and firing rate in cat primary visual cortex.

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Journal:  J Neurosci       Date:  2000-01-01       Impact factor: 6.167

8.  Cellular mechanisms contributing to response variability of cortical neurons in vivo.

Authors:  R Azouz; C M Gray
Journal:  J Neurosci       Date:  1999-03-15       Impact factor: 6.167

9.  Orientation tuning of input conductance, excitation, and inhibition in cat primary visual cortex.

Authors:  J S Anderson; M Carandini; D Ferster
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10.  Impact of network activity on the integrative properties of neocortical pyramidal neurons in vivo.

Authors:  A Destexhe; D Paré
Journal:  J Neurophysiol       Date:  1999-04       Impact factor: 2.714

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  71 in total

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Journal:  J Comput Neurosci       Date:  2010-05-19       Impact factor: 1.621

2.  Gating of signal propagation in spiking neural networks by balanced and correlated excitation and inhibition.

Authors:  Jens Kremkow; Ad Aertsen; Arvind Kumar
Journal:  J Neurosci       Date:  2010-11-24       Impact factor: 6.167

3.  The domain of neuronal firing on a plane of input current and conductance.

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4.  Current injection and receptor-mediated excitation produce similar maximal firing rates in hypoglossal motoneurons.

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5.  Spontaneous Fluctuations in Visual Cortical Responses Influence Population Coding Accuracy.

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6.  Time-dependent activation of feed-forward inhibition in a looming-sensitive neuron.

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Journal:  J Neurophysiol       Date:  2005-05-31       Impact factor: 2.714

7.  Factors determining the precision of the correlated firing generated by a monosynaptic connection in the cat visual pathway.

Authors:  Francisco J Veredas; Francisco J Vico; Jose-Manuel Alonso
Journal:  J Physiol       Date:  2005-07-14       Impact factor: 5.182

8.  Inhibition determines membrane potential dynamics and controls action potential generation in awake and sleeping cat cortex.

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Journal:  J Neurosci       Date:  2007-05-16       Impact factor: 6.167

Review 9.  Signaling in large-scale neural networks.

Authors:  Rune W Berg; Jørn Hounsgaard
Journal:  Cogn Process       Date:  2008-11-14

10.  Interpreting neurodynamics: concepts and facts.

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Journal:  Cogn Neurodyn       Date:  2008-10-15       Impact factor: 5.082

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