Literature DB >> 12843694

A novel mechanism for irregular firing of a neuron in response to periodic stimulation: irregularity in the absence of noise.

John R Clay1.   

Abstract

Irregular firing of action potentials (AP's) is a characteristic feature of neurons in the brain. The variability has been attributed to noise from various sources. This study illustrates an alternative mechanism, namely, deterministic irregularity within a model of ionic conductances. Specifically, a model based on modern measurements of the Na+ and K+ current components from the squid giant axon fires irregularly in response to a continuous train of near-threshold current pulses. The interspike interval histogram from these simulations is multi-modal, a result which in other systems has been attributed to stochastic resonance. Moreover, the simulations exhibited short burst of spikes followed by relatively long quiescent periods, a result suggestive of patterned input to the model even though the input consisted of a train of regularly spaced current pulses. The variability of firing is attributable to variations in AP parameters, in particular AP amplitude. The action potential for squid giant axons is not all-or-none. Rather, it is fundamentally a continuous function of stimulus amplitude. That is, the membrane lacks a threshold. Variation in AP amplitude, and to a lesser extent, AP duration, can produce variations in the time to a subsequent AP, which represents a paradigm shift for understanding irregular neuronal firing. The emphasis is not as much on events prior to an AP as it is on the AP's themselves.

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Year:  2003        PMID: 12843694     DOI: 10.1023/a:1024470718603

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


  31 in total

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Authors:  P N Steinmetz; A Manwani; C Koch; M London; I Segev
Journal:  J Comput Neurosci       Date:  2000 Sep-Oct       Impact factor: 1.621

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Journal:  Biophys J       Date:  1964-01       Impact factor: 4.033

3.  Time-interval sequences in bistable systems and the noise-induced transmission of information by sensory neurons.

Authors: 
Journal:  Phys Rev Lett       Date:  1991-07-29       Impact factor: 9.161

4.  Excitability of the squid giant axon revisited.

Authors:  J R Clay
Journal:  J Neurophysiol       Date:  1998-08       Impact factor: 2.714

5.  Influence of low and high frequency inputs on spike timing in visual cortical neurons.

Authors:  L G Nowak; M V Sanchez-Vives; D A McCormick
Journal:  Cereb Cortex       Date:  1997-09       Impact factor: 5.357

6.  Nerve membrane excitation without threshold.

Authors:  K S Cole; R Guttman; F Bezanilla
Journal:  Proc Natl Acad Sci U S A       Date:  1970-04       Impact factor: 11.205

7.  Cortical activity flips among quasi-stationary states.

Authors:  M Abeles; H Bergman; I Gat; I Meilijson; E Seidemann; N Tishby; E Vaadia
Journal:  Proc Natl Acad Sci U S A       Date:  1995-09-12       Impact factor: 11.205

8.  Monte Carlo simulation of membrane noise: an analysis of fluctuations in graded excitation of nerve membrane.

Authors:  J R Clay
Journal:  J Theor Biol       Date:  1977-02-21       Impact factor: 2.691

9.  Stochastic resonance and the benefits of noise: from ice ages to crayfish and SQUIDs.

Authors:  K Wiesenfeld; F Moss
Journal:  Nature       Date:  1995-01-05       Impact factor: 49.962

10.  Control of repetitive firing in squid axon membrane as a model for a neuroneoscillator.

Authors:  R Guttman; S Lewis; J Rinzel
Journal:  J Physiol       Date:  1980-08       Impact factor: 5.182

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