Literature DB >> 10816319

Stimulus dependence of two-state fluctuations of membrane potential in cat visual cortex.

J Anderson1, I Lampl, I Reichova, M Carandini, D Ferster.   

Abstract

Membrane potentials of cortical neurons fluctuate between a hyperpolarized ('down') state and a depolarized ('up') state which may be separated by up to 30 mV, reflecting rapid but infrequent transitions between two patterns of synaptic input. Here we show that such fluctuations may contribute to representation of visual stimuli by cortical cells. In complex cells of anesthetized cats, where such fluctuations are most prominent, prolonged visual stimulation increased the probability of the up state. This probability increase was related to stimulus strength: its dependence on stimulus orientation and contrast matched each cell's averaged membrane potential. Thus large fluctuations in membrane potential are not simply noise on which visual responses are superimposed, but may provide a substrate for encoding sensory information.

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Year:  2000        PMID: 10816319     DOI: 10.1038/75797

Source DB:  PubMed          Journal:  Nat Neurosci        ISSN: 1097-6256            Impact factor:   24.884


  64 in total

1.  Coincidence detection or temporal integration? What the neurons in somatosensory cortex are doing.

Authors:  S A Roy; K D Alloway
Journal:  J Neurosci       Date:  2001-04-01       Impact factor: 6.167

2.  Neural coding with graded membrane potential changes and spikes.

Authors:  J Kretzberg; A K Warzecha; M Egelhaaf
Journal:  J Comput Neurosci       Date:  2001 Sep-Oct       Impact factor: 1.621

3.  Network synchrony in the nucleus accumbens in vivo.

Authors:  Y Goto; P O'Donnell
Journal:  J Neurosci       Date:  2001-06-15       Impact factor: 6.167

4.  Sensory input drives multiple intracellular information streams in somatosensory cortex.

Authors:  Andrea Alenda; Manuel Molano-Mazón; Stefano Panzeri; Miguel Maravall
Journal:  J Neurosci       Date:  2010-08-11       Impact factor: 6.167

5.  Dendritic organization of sensory input to cortical neurons in vivo.

Authors:  Hongbo Jia; Nathalie L Rochefort; Xiaowei Chen; Arthur Konnerth
Journal:  Nature       Date:  2010-04-29       Impact factor: 49.962

6.  Neurodynamics of up and down transitions in a single neuron.

Authors:  Xuying Xu; Rubin Wang
Journal:  Cogn Neurodyn       Date:  2014-07-17       Impact factor: 5.082

7.  Synaptic mechanisms of persistent reverberatory activity in neuronal networks.

Authors:  Pak-Ming Lau; Guo-Qiang Bi
Journal:  Proc Natl Acad Sci U S A       Date:  2005-07-08       Impact factor: 11.205

8.  Encoding and decoding of dendritic excitation during active states in pyramidal neurons.

Authors:  Stephen R Williams
Journal:  J Neurosci       Date:  2005-06-22       Impact factor: 6.167

9.  Neocortical network activity in vivo is generated through a dynamic balance of excitation and inhibition.

Authors:  Bilal Haider; Alvaro Duque; Andrea R Hasenstaub; David A McCormick
Journal:  J Neurosci       Date:  2006-04-26       Impact factor: 6.167

10.  Extending the effects of spike-timing-dependent plasticity to behavioral timescales.

Authors:  Patrick J Drew; L F Abbott
Journal:  Proc Natl Acad Sci U S A       Date:  2006-05-26       Impact factor: 11.205

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