Literature DB >> 856318

Neural repetitive firing: modifications of the Hodgkin-Huxley axon suggested by experimental results from crustacean axons.

J A Connor, D Walter, R McKown.   

Abstract

The Hodgkin-Huxley equations for space-clamped squid axon (18 degrees C) have been modified to approximate voltage clamp data from repetitive-firing crustacean walking leg axons and activity in response to constant current stimulation has been computed. The m infinity and h infinity parameters of the sodium conductance system were shifted along the voltage axis in opposite directions so that their relative overlap was increased approximately 7 mV. Time constants tau m and tau h, were moved in a similar manner. Voltage-dependent parameters of delayed potassium conductance, n infinity and tau n, were shifted 4.3 mV in the positive direction and tau n was uniformly increased by a factor of 2. Leakage conductance and capacitance were unchanged. Repetitive activity of this modified circuit was qualitatively similar to that of the standard model. A fifth branch was added to the circuit representing a transient potassium conductance system present in the repetitive walking leg axons and in other repetitive neurons. This model, with various parameter choices, fired repetitively down to approximately 2 spikes/s and up to 350/s. The frequency vs. stimulus current plot could be fit well by a straight line over a decade of the low frequency range and the general appearance of the spike trains was similar to that of other repetitive neurons. Stimulus intensities were of the same order as those which produce repetitive activity in the standard Hodgkin-Huxley axon. The repetitive firing rate and first spike latency (utilization time) were found to be most strongly influenced by the inactivation time constant of the transient potassium conductance (tau b), the delayed potassium conductance (tau n), and the value of leakage conductance (gL). The model presents a mechanism by which stable low frequency discharge can be generated by millisecond-order membrane conductance changes.

Entities:  

Mesh:

Substances:

Year:  1977        PMID: 856318      PMCID: PMC1473272          DOI: 10.1016/S0006-3495(77)85598-7

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  26 in total

1.  Sodium currents in the myelinated nerve fibre of Xenopus laevis investigated with the voltage clamp technique.

Authors:  F A DODGE; B FRANKENHAEUSER
Journal:  J Physiol       Date:  1959-10       Impact factor: 5.182

2.  The dual effect of membrane potential on sodium conductance in the giant axon of Loligo.

Authors:  A L HODGKIN; A F HUXLEY
Journal:  J Physiol       Date:  1952-04       Impact factor: 5.182

3.  Currents carried by sodium and potassium ions through the membrane of the giant axon of Loligo.

Authors:  A L HODGKIN; A F HUXLEY
Journal:  J Physiol       Date:  1952-04       Impact factor: 5.182

4.  The frequency of nerve action potentials generated by applied currents.

Authors:  R B Stein
Journal:  Proc R Soc Lond B Biol Sci       Date:  1967-01-31

5.  On numerical integration of the Hodgkin and Huxley equations for a membrane action potential.

Authors:  J W Moore; F Ramon
Journal:  J Theor Biol       Date:  1974-05       Impact factor: 2.691

6.  Hodgkin-Huxley axon. Increased modulation and linearity of response to constant current stimulus.

Authors:  B I Shapiro; F K Lenherr
Journal:  Biophys J       Date:  1972-09       Impact factor: 4.033

7.  Sodium inactivation. Experimental test of two models.

Authors:  R C Hoyt; W J Adelman
Journal:  Biophys J       Date:  1970-07       Impact factor: 4.033

8.  A kinetic model for the sodium conductance system in squid axon.

Authors:  J W Moore; E B Cox
Journal:  Biophys J       Date:  1976-02       Impact factor: 4.033

9.  Inactivation of the sodium current in Myxicola giant axons. Evidence for coupling to the activation process.

Authors:  L Goldman; C L Schauf
Journal:  J Gen Physiol       Date:  1972-06       Impact factor: 4.086

10.  Interpretation of the repetitive firing of nerve cells.

Authors:  M G FUORTES; F MANTEGAZZINI
Journal:  J Gen Physiol       Date:  1962-07       Impact factor: 4.086

View more
  64 in total

1.  Transient potassium currents regulate the discharge patterns of dorsal cochlear nucleus pyramidal cells.

Authors:  P O Kanold; P B Manis
Journal:  J Neurosci       Date:  1999-03-15       Impact factor: 6.167

Review 2.  Deactivation, recovery from inactivation, and modulation of extra-synaptic ion currents in fish retinal ganglion cells.

Authors:  A T Ishida
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2000-09-29       Impact factor: 6.237

3.  Multiple models to capture the variability in biological neurons and networks.

Authors:  Eve Marder; Adam L Taylor
Journal:  Nat Neurosci       Date:  2011-02       Impact factor: 24.884

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

Authors:  John R Clay
Journal:  J Comput Neurosci       Date:  2003 Jul-Aug       Impact factor: 1.621

5.  Reduction of a Hodgkin-Huxley-type model for a mammalian neuron at body temperature.

Authors:  F Awiszus
Journal:  Biol Cybern       Date:  1992       Impact factor: 2.086

6.  Relation between potassium-channel kinetics and the intrinsic dynamics in isolated retinal bipolar cells.

Authors:  Bu-Qing Mao; Peter R MacLeish; Jonathan D Victor
Journal:  J Comput Neurosci       Date:  2002 May-Jun       Impact factor: 1.621

7.  The influence of spike rate and stimulus duration on noradrenergic neurons.

Authors:  Eric Brown; Jeff Moehlis; Philip Holmes; Ed Clayton; Janusz Rajkowski; Gary Aston-Jones
Journal:  J Comput Neurosci       Date:  2004 Jul-Aug       Impact factor: 1.621

8.  Excitability changes in the crustacean motor axons following activity.

Authors:  N Stockbridge; N Yamoah
Journal:  J Math Biol       Date:  1990       Impact factor: 2.259

9.  Pattern generation in the lobster (Panulirus) stomatogastric ganglion. II. Pyloric network simulation.

Authors:  D K Hartline
Journal:  Biol Cybern       Date:  1979-08       Impact factor: 2.086

10.  A-current and type I/type II transition determine collective spiking from common input.

Authors:  Andrea K Barreiro; Evan L Thilo; Eric Shea-Brown
Journal:  J Neurophysiol       Date:  2012-06-06       Impact factor: 2.714

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.