Literature DB >> 2611664

Effects of uniform and non-uniform synaptic 'activation-distributions' on the cable properties of modeled cortical pyramidal neurons.

W R Holmes1, C D Woody.   

Abstract

Knowledge of the resting potential and input resistance reveal little about the electrotonic structure of nerve cells since that structure is governed by the background distribution of activated conductances. The background distribution of activated conductances (or 'activation-distribution') is commonly assumed to be uniform, but there is much evidence to suggest that the 'activation-distribution' of cortical pyramidal cells in non-uniform. We investigated effects of uniform and non-uniform activation-distributions with simulations employing passive cable models of an HRP-injected cortical pyramidal neuron. The consequences of 5 different activation-distributions on the effectiveness of synaptic inputs and the electrophysiological properties of the neuron were compared. With non-uniform activation-distributions, (i) the resting membrane potential was non-uniform (with difference of 10-15 mV or more found between soma and distal dendrites), (ii) the electrotonic distances to distal synapses were smaller than with a uniform distribution, and (iii) a two-fold range of variation was seen in the effectiveness of distal synaptic inputs. Differences in time constants, tau 0 and tau 1, obtained from an analysis of transients and in electrotonic length, L, were also found with different activation-distributions. These differences were difficult to assess due to the inherent difficulty in estimating tau 1 (as demonstrated here) and the inappropriateness of the usual formula for L for these cells. Reducing afferent activity (as might happen in tissue slice) increased the effectiveness of distal inputs and reduced the differences in resting potential seen in the neuron. It is concluded that the effectiveness of synaptic inputs and the electrophysiological properties of a neuron can be quite different when the activation-distribution is non-uniform rather than uniform.

Mesh:

Year:  1989        PMID: 2611664     DOI: 10.1016/0006-8993(89)90110-8

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  23 in total

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

Authors:  M London; C Meunier; I Segev
Journal:  J Neurosci       Date:  1999-10-01       Impact factor: 6.167

2.  The control of rate and timing of spikes in the deep cerebellar nuclei by inhibition.

Authors:  V Gauck; D Jaeger
Journal:  J Neurosci       Date:  2000-04-15       Impact factor: 6.167

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

Authors:  A Herrmann; W Gerstner
Journal:  J Comput Neurosci       Date:  2001 Sep-Oct       Impact factor: 1.621

4.  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

5.  Contributions of voltage-gated Ca2+ channels in the proximal versus distal dendrites to synaptic integration in prefrontal cortical neurons.

Authors:  J K Seamans; N A Gorelova; C R Yang
Journal:  J Neurosci       Date:  1997-08-01       Impact factor: 6.167

6.  A fast-conducting, stochastic integrative mode for neocortical neurons in vivo.

Authors:  Michael Rudolph; Alain Destexhe
Journal:  J Neurosci       Date:  2003-03-15       Impact factor: 6.167

7.  Modelling the electrotonic structure of starburst amacrine cells in the rabbit retina: a functional interpretation of dendritic morphology.

Authors:  R R Poznanski
Journal:  Bull Math Biol       Date:  1992-11       Impact factor: 1.758

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

Authors:  Alexandre Kuhn; Ad Aertsen; Stefan Rotter
Journal:  J Neurosci       Date:  2004-03-10       Impact factor: 6.167

9.  Synaptic background activity influences spatiotemporal integration in single pyramidal cells.

Authors:  O Bernander; R J Douglas; K A Martin; C Koch
Journal:  Proc Natl Acad Sci U S A       Date:  1991-12-15       Impact factor: 11.205

10.  Local adaptations of two naturally occurring neuronal conductances, gK + (A) and gK + (Ca), allow for associative conditioning and contiguity judgements in artificial neural networks.

Authors:  J Berner; C D Woody
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

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