Literature DB >> 16649068

Spike propagation in dendrites with stochastic ion channels.

Kamran Diba1, Christof Koch, Idan Segev.   

Abstract

We investigate the effects of the stochastic nature of ion channels on the faithfulness, precision and reproducibility of electrical signal transmission in weakly active, dendritic membrane under in vitro conditions. The properties of forward and backpropagating action potentials (BPAPs) in the dendritic tree of pyramidal cells are the subject of intense empirical work and theoretical speculation (Larkum et al., 1999; Zhu, 2000; Larkum et al., 2001; Larkum and Zhu, 2002; Schaefer et al., 2003; Williams, 2004; Waters et al., 2005). We numerically simulate the effects of stochastic ion channels on the forward and backward propagation of dendritic spikes in Monte-Carlo simulations on a reconstructed layer 5 pyramidal neuron. We report that in most instances there is little variation in timing or amplitude for a single BPAP, while variable backpropagation can occur for trains of action potentials. Additionally, we find that the generation and forward propagation of dendritic Ca(2+) spikes are susceptible to channel variability. This indicates limitations on computations that depend on the precise timing of Ca(2+) spikes.

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Year:  2006        PMID: 16649068     DOI: 10.1007/s10870-006-4770-0

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


  47 in total

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Authors:  A Manwani; C Koch
Journal:  Neural Comput       Date:  1999-11-15       Impact factor: 2.026

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Journal:  Curr Opin Neurobiol       Date:  1999-06       Impact factor: 6.627

3.  Coincidence detection in pyramidal neurons is tuned by their dendritic branching pattern.

Authors:  Andreas T Schaefer; Matthew E Larkum; Bert Sakmann; Arnd Roth
Journal:  J Neurophysiol       Date:  2003-02-26       Impact factor: 2.714

4.  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

Review 5.  The high-conductance state of neocortical neurons in vivo.

Authors:  Alain Destexhe; Michael Rudolph; Denis Paré
Journal:  Nat Rev Neurosci       Date:  2003-09       Impact factor: 34.870

6.  Subthreshold voltage noise of rat neocortical pyramidal neurones.

Authors:  Gilad A Jacobson; Kamran Diba; Anat Yaron-Jakoubovitch; Yasmin Oz; Christof Koch; Idan Segev; Yosef Yarom
Journal:  J Physiol       Date:  2005-02-03       Impact factor: 5.182

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Authors:  N Spruston; Y Schiller; G Stuart; B Sakmann
Journal:  Science       Date:  1995-04-14       Impact factor: 47.728

8.  Action potential propagation through embryonic dorsal root ganglion cells in culture. II. Decrease of conduction reliability during repetitive stimulation.

Authors:  C Lüscher; J Streit; P Lipp; H R Lüscher
Journal:  J Neurophysiol       Date:  1994-08       Impact factor: 2.714

9.  Maturation of layer 5 neocortical pyramidal neurons: amplifying salient layer 1 and layer 4 inputs by Ca2+ action potentials in adult rat tuft dendrites.

Authors:  J J Zhu
Journal:  J Physiol       Date:  2000-08-01       Impact factor: 5.182

10.  Signaling of layer 1 and whisker-evoked Ca2+ and Na+ action potentials in distal and terminal dendrites of rat neocortical pyramidal neurons in vitro and in vivo.

Authors:  Matthew E Larkum; J Julius Zhu
Journal:  J Neurosci       Date:  2002-08-15       Impact factor: 6.167

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  5 in total

1.  Stochastically gating ion channels enable patterned spike firing through activity-dependent modulation of spike probability.

Authors:  Joshua T Dudman; Matthew F Nolan
Journal:  PLoS Comput Biol       Date:  2009-02-13       Impact factor: 4.475

2.  Stochastic ion channel gating in dendritic neurons: morphology dependence and probabilistic synaptic activation of dendritic spikes.

Authors:  Robert C Cannon; Cian O'Donnell; Matthew F Nolan
Journal:  PLoS Comput Biol       Date:  2010-08-12       Impact factor: 4.475

3.  Patterned Brain Stimulation, What a Framework with Rhythmic and Noisy Components Might Tell Us about Recovery Maximization.

Authors:  Sein Schmidt; Michael Scholz; Klaus Obermayer; Stephan A Brandt
Journal:  Front Hum Neurosci       Date:  2013-06-28       Impact factor: 3.169

4.  The effect of neural noise on spike time precision in a detailed CA3 neuron model.

Authors:  Eduard Kuriscak; Petr Marsalek; Julius Stroffek; Zdenek Wünsch
Journal:  Comput Math Methods Med       Date:  2012-06-24       Impact factor: 2.238

5.  Stochastic simulations on the reliability of action potential propagation in thin axons.

Authors:  A Aldo Faisal; Simon B Laughlin
Journal:  PLoS Comput Biol       Date:  2007-05       Impact factor: 4.475

  5 in total

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