Literature DB >> 1763072

Synaptic background activity influences spatiotemporal integration in single pyramidal cells.

O Bernander1, R J Douglas, K A Martin, C Koch.   

Abstract

The standard one-dimensional Rall cable model assumes that the electrotonic structure of neurons does not change in response to synaptic input. This model is used in a great number of both theoretical and anatomical-physiological structure-function studies. In particular, the membrane time constant, tau m, the somatic input resistance, Rin, and the electrotonic length are used to characterize single cells. However, these studies do not take into account that neurons are embedded in a network of spontaneously active cells. Synapses from these cells will contribute significantly to the membrane conductance, especially if recent evidence of very high specific membrane resistance, Rm = 100 k omega.cm2, is taken into account. We numerically simulated the electrical behavior of an anatomically reconstructed layer V cortical pyramidal cell receiving input from 4000 excitatory and 1000 inhibitory cells firing spontaneously at 0-7 Hz. We found that, over this range of synaptic background activity, tau m and Rin change by a factor of 10 (80-7 msec, 110-14 M omega) and the electrotonic length of the cell changes by a factor of 3. We show that this significantly changes the response of the cell to temporal desynchronized versus temporal synchronized synaptic input distributed throughout the neuron. Thus, the global activity of the network can control how individual cells perform spatial and temporal integration.

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Year:  1991        PMID: 1763072      PMCID: PMC53177          DOI: 10.1073/pnas.88.24.11569

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  21 in total

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Authors:  F Pongracz; S Firestein; G M Shepherd
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2.  Motoneuron dendrites: role in synaptic integration.

Authors:  J N Barrett
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3.  Simulations of cortical pyramidal neurons synchronized by inhibitory interneurons.

Authors:  W W Lytton; T J Sejnowski
Journal:  J Neurophysiol       Date:  1991-09       Impact factor: 2.714

4.  Dendritic morphology of pyramidal neurones of the visual cortex of the rat: III. Spine distributions.

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5.  An intracellular analysis of the visual responses of neurones in cat visual cortex.

Authors:  R J Douglas; K A Martin; D Whitteridge
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6.  Synaptic transmission between individual pyramidal neurons of the rat visual cortex in vitro.

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7.  Paths of information flow through visual cortex.

Authors:  M Mignard; J G Malpeli
Journal:  Science       Date:  1991-03-08       Impact factor: 47.728

Review 8.  Excitatory synaptic integration in hippocampal pyramids and dentate granule cells.

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Review 9.  The Wellcome Prize lecture. From single cells to simple circuits in the cerebral cortex.

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10.  NMDA and non-NMDA receptors are co-localized at individual excitatory synapses in cultured rat hippocampus.

Authors:  J M Bekkers; C F Stevens
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  131 in total

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

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7.  Noise and the PSTH response to current transients: I. General theory and application to the integrate-and-fire neuron.

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8.  Synaptic physiology of the flow of information in the cat's visual cortex in vivo.

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9.  Pathway-specific properties of AMPA and NMDA-mediated transmission in CA1 hippocampal pyramidal cells.

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Journal:  J Neurosci       Date:  2002-02-15       Impact factor: 6.167

10.  Apical tuft input efficacy in layer 5 pyramidal cells from rat visual cortex.

Authors:  P A Rhodes; R R Llinás
Journal:  J Physiol       Date:  2001-10-01       Impact factor: 5.182

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