Literature DB >> 16896521

Spatio-temporal filtering properties of a dendritic cable with active spines: a modeling study in the spike-diffuse-spike framework.

Yulia Timofeeva1, Gabriel J Lord, Stephen Coombes.   

Abstract

The spike-diffuse-spike (SDS) model describes a passive dendritic tree with active dendritic spines. Spine-head dynamics is modeled with a simple integrate-and-fire process, whilst communication between spines is mediated by the cable equation. In this paper we develop a computational framework that allows the study of multiple spiking events in a network of such spines embedded on a simple one-dimensional cable. In the first instance this system is shown to support saltatory waves with the same qualitative features as those observed in a model with Hodgkin-Huxley kinetics in the spine-head. Moreover, there is excellent agreement with the analytically calculated speed for a solitary saltatory pulse. Upon driving the system with time-varying external input we find that the distribution of spines can play a crucial role in determining spatio-temporal filtering properties. In particular, the SDS model in response to periodic pulse train shows a positive correlation between spine density and low-pass temporal filtering that is consistent with the experimental results of Rose and Fortune [1999, 'Mechanisms for generating temporal filters in the electrosensory system,' The Journal of Experimental Biology 202: 1281-1289]. Further, we demonstrate the robustness of observed wave properties to natural sources of noise that arise both in the cable and the spine-head, and highlight the possibility of purely noise induced waves and coherent oscillations.

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Year:  2006        PMID: 16896521     DOI: 10.1007/s10827-006-8776-4

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


  27 in total

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Authors:  Karen Zito; Venkatesh N Murthy
Journal:  Curr Biol       Date:  2002-01-08       Impact factor: 10.834

Review 2.  Spine motility. Phenomenology, mechanisms, and function.

Authors:  Tobias Bonhoeffer; Rafael Yuste
Journal:  Neuron       Date:  2002-09-12       Impact factor: 17.173

3.  Saltatory waves in the spike-diffuse-spike model of active dendritic spines.

Authors:  S Coombes; P C Bressloff
Journal:  Phys Rev Lett       Date:  2003-07-09       Impact factor: 9.161

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Journal:  J Neurophysiol       Date:  1991-04       Impact factor: 2.714

5.  Impact of time-dependent changes in spine density and spine shape on the input-output properties of a dendritic branch: a computational study.

Authors:  D W Verzi; M B Rheuben; S M Baer
Journal:  J Neurophysiol       Date:  2004-12-08       Impact factor: 2.714

6.  Translation-invariant orientation tuning in visual "complex" cells could derive from intradendritic computations.

Authors:  B W Mel; D L Ruderman; K A Archie
Journal:  J Neurosci       Date:  1998-06-01       Impact factor: 6.167

7.  Passive and active membrane properties contribute to the temporal filtering properties of midbrain neurons in vivo.

Authors:  E S Fortune; G J Rose
Journal:  J Neurosci       Date:  1997-05-15       Impact factor: 6.167

8.  Signal enhancement in distal cortical dendrites by means of interactions between active dendritic spines.

Authors:  G M Shepherd; R K Brayton; J P Miller; I Segev; J Rinzel; W Rall
Journal:  Proc Natl Acad Sci U S A       Date:  1985-04       Impact factor: 11.205

9.  Logic operations are properties of computer-simulated interactions between excitable dendritic spines.

Authors:  G M Shepherd; R K Brayton
Journal:  Neuroscience       Date:  1987-04       Impact factor: 3.590

Review 10.  Mechanisms for generating temporal filters in the electrosensory system.

Authors:  G J Rose; E S Fortune
Journal:  J Exp Biol       Date:  1999-05       Impact factor: 3.312

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  5 in total

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Journal:  J Comput Neurosci       Date:  2008-02-06       Impact factor: 1.621

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Authors:  Emma J Coutts; Gabriel J Lord
Journal:  J Comput Neurosci       Date:  2012-08-16       Impact factor: 1.621

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5.  Response functions for electrically coupled neuronal network: a method of local point matching and its applications.

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Journal:  Biol Cybern       Date:  2016-03-18       Impact factor: 2.086

  5 in total

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