Literature DB >> 4642221

Computer simulation of after-inhibition in crayfish slowly adapting stretch receptor neuron.

P G Sokolove.   

Abstract

A theoretical model is described which is able to mimic the responses of slowly adapting stretch receptor neurons of crayfish to applied currents. Its principal feature is postspike inhibition, in which each nerve impulses produces a small inhibitory current that decays with a simple exponential time-course that is long compared with normal interspike intervals. The model was simulated with both an analogue and a digital computer. Parameters for particular model neurons were determined both by an analysis of experimental data obtained from adaptation to constant injected currents, and by matching computer output to the data. Parameter values estimated by the two techniques agreed within +/-10%. Model parameters determined from adaptation data successfully predicted the magnitude and time-course of posttetanic hyperpolarization (PTH) in the stretch receptor neuron. In addition, model neurons were able to reproduce posttetanic depression (PTD) as seen in stretch receptor cells.

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Year:  1972        PMID: 4642221      PMCID: PMC1484203          DOI: 10.1016/S0006-3495(72)86173-3

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


  8 in total

1.  HODGKIN-HUXLEY EQUATIONS: LOGARITHMIC RELATION BETWEEN MEMBRANE CURRENT AND FREQUENCY OF REPETITIVE ACTIVITY.

Authors:  D AGIN
Journal:  Nature       Date:  1964-02-08       Impact factor: 49.962

2.  QUANTITATIVE ASPECTS OF REPETITIVE FIRING OF MAMMALIAN MOTONEURONES, CAUSED BY INJECTED CURRENTS.

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Journal:  J Physiol       Date:  1963-10       Impact factor: 5.182

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Authors:  R Fitzhugh
Journal:  Biophys J       Date:  1961-07       Impact factor: 4.033

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Authors:  S Nakajima; K Takahashi
Journal:  J Physiol       Date:  1966-11       Impact factor: 5.182

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Authors:  S Nakajima; K Onodera
Journal:  J Physiol       Date:  1969-01       Impact factor: 5.182

6.  Some effects of polarizing current on discharges from muscle spindle receptors.

Authors:  F Emonet-Dénand; J Houk
Journal:  Am J Physiol       Date:  1969-02

7.  Inhibition of impulse activity in a sensory neuron by an electrogenic pump.

Authors:  P G Sokolove; I M Cooke
Journal:  J Gen Physiol       Date:  1971-02       Impact factor: 4.086

8.  Sodium fluxes in internally dialyzed squid axons.

Authors:  F J Brinley; L J Mullins
Journal:  J Gen Physiol       Date:  1968-08       Impact factor: 4.086

  8 in total
  10 in total

1.  The self-inhibited leaky integrator: transfer functions and steady state relations.

Authors:  M Barbi; V Carelli; C Frediani; D Petracchi
Journal:  Biol Cybern       Date:  1975-10-01       Impact factor: 2.086

2.  A study of the encoder properties of muscle-spindle primary afferent fibers by a random noise disturbance of the steady stretch response.

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Journal:  Biol Cybern       Date:  1990       Impact factor: 2.086

3.  Improved neuronal models for studying neural networks.

Authors:  R B Stein; K V Leung; D Mangeron; M N Oğuztöreli
Journal:  Kybernetik       Date:  1974-05-31

4.  Elastic porous tube model of reactive hyperaemia.

Authors:  S W Smye; M I Bloor
Journal:  Med Biol Eng Comput       Date:  1994-09       Impact factor: 2.602

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Authors:  A M Bruckstein; M Morf; Y Y Zeevi
Journal:  Biol Cybern       Date:  1983       Impact factor: 2.086

6.  Nonlinear systems analysis of repetitive firing behavior in the crayfish stretch receptor.

Authors:  C L Baker; D K Hartline
Journal:  Biol Cybern       Date:  1978-05-05       Impact factor: 2.086

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Authors:  Y Y Zeevi; A M Bruckstein
Journal:  Biol Cybern       Date:  1981       Impact factor: 2.086

8.  Relevance of the single ommatidium performance in determining the oscillatory response of the Limulus retina.

Authors:  M Barbi; E M Ferdeghini
Journal:  Biol Cybern       Date:  1980       Impact factor: 2.086

9.  A model for impulse frequency modulation used in neural encoding.

Authors:  K Kroschel
Journal:  Biol Cybern       Date:  1982       Impact factor: 2.086

10.  Nonlinear systems analysis of computer models of repetitive firing.

Authors:  C L Baker
Journal:  Biol Cybern       Date:  1978-05-05       Impact factor: 2.086

  10 in total

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