Literature DB >> 6239659

The transducer and encoder of frog muscle spindles are essentially nonlinear. Physiological conclusions from a white-noise analysis.

B Pöpel, H Querfurth.   

Abstract

Nonlinear second order white-noise analysis has been applied to the isolated frog muscle spindle. Power (delta 2) of the Gaussian white noise (GWN) and the average prestretch level L were varied and the response of both the isolated receptor potential (transducer) and the action potential (encoder) level were analysed. The standard white-noise method is briefly presented. Particular emphasis, however, is put on the limitations in the range of validity of the method and, consequently, on the use and interpretation of the kernels as a Wiener model. Conclusions in the present paper are within this frame and are mainly of qualitative nature. The analysis reveals that the nonlinear contributions of the model are essential for approximating physiological results, thus ruling out purely linear modelling for this receptor organ. The dependence of the transducer kernels on delta are compatible with the behaviour of a rectifier. Rectification is represented by the lack of hyperpolarization within the isolated receptor potential and is enhanced by the substantial memory in the linear and nonlinear kernels as demonstrated by their extent in time. This is equivalent to low power in high frequencies of the response. Obviously, the hyperpolarizing potentials following each spike counteract the long transducer memory. At the encoder level the memory of the system is strongly reduced. This is achieved by using predominantly high frequency components of the receptor potential for triggering the process of impulse generation, and by the precise coupling and high frequency content of the impulses. This coupling precision is possible because of the sensitivity of the spike-generating mechanism to steep rising transients of the receptor potential and also owing to the reduction in transducer memory by the hyperpolarizing afterpotentials. The preference given to the high frequency components is also read from the structure of the second order transducer kernel and from both the linear and the second order encoder kernels, which allows the most effective input waveform for triggering action potentials to be determined. When the operating point is changed to higher prestretch values, kernel heights increase strongly implying higher response strength of the muscle spindle.(ABSTRACT TRUNCATED AT 400 WORDS)

Mesh:

Year:  1984        PMID: 6239659     DOI: 10.1007/bf00336184

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  26 in total

1.  THE ACTION OF CALCIUM ON THE FROG'S ISOLATED MUSCLE SPINDLE.

Authors:  D OTTOSON
Journal:  J Physiol       Date:  1965-05       Impact factor: 5.182

2.  The effect of sinusoidal stretching upon the activity of stretch receptors in voluntary muscle and their reflex responses.

Authors:  O C LIPPOLD; J W REDFEARN; J VUCO
Journal:  J Physiol       Date:  1958-12-30       Impact factor: 5.182

3.  Encoder response of isolated frog muscle spindle elicited by pseudorandom noise stimuli.

Authors:  H Querfurth
Journal:  J Neurophysiol       Date:  1986-01       Impact factor: 2.714

4.  [Responses of primary and secondary muscle spindle afferents to sinusoidal, mechanical stimulation. I. Variation of stimulus frequency].

Authors:  O J Grüsser; B Thiele
Journal:  Pflugers Arch Gesamte Physiol Menschen Tiere       Date:  1968-04-23

5.  Response of isolated frog muscle spindle to sine wave stimulation.

Authors:  J S McReynolds; D Ottoson
Journal:  Acta Physiol Scand       Date:  1974-01

6.  The frequency response, coherence, and information capacity of two neuronal models.

Authors:  R B Stein; A S French; A V Holden
Journal:  Biophys J       Date:  1972-03       Impact factor: 4.033

7.  White-noise analysis of a neuron chain: an application of the Wiener theory.

Authors:  P Z Marmarelis; K Naka
Journal:  Science       Date:  1972-03-17       Impact factor: 47.728

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Authors:  P B Matthews
Journal:  J Physiol       Date:  1981-11       Impact factor: 5.182

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Authors:  S A Raymond
Journal:  J Physiol       Date:  1979-05       Impact factor: 5.182

10.  Dynamics of encoding in a population of neurons.

Authors:  B W Knight
Journal:  J Gen Physiol       Date:  1972-06       Impact factor: 4.086

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  8 in total

1.  Time coupling of skeletomotor discharges in response to pseudo-random transsynaptic and transmembrane stimulation.

Authors:  R Anastasijević; K Jovanović; M Ljubisavljević; J Vuco
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

2.  Signal transduction and nonlinearities revealed by white noise inputs in the fast adapting crayfish stretch receptor.

Authors:  J Bustamante; W Buño
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

Review 3.  Information transmission by isolated frog muscle spindle.

Authors:  R Eckhorn; H Querfurth
Journal:  Biol Cybern       Date:  1985       Impact factor: 2.086

4.  Third-order reverse correlation analysis of muscle spindle primary afferent fiber responses to random muscle stretch.

Authors:  J Kröller
Journal:  Biol Cybern       Date:  1996-01       Impact factor: 2.086

5.  Reverse correlation analysis of the stretch response of primary muscle spindle afferent fibers.

Authors:  J Kröller
Journal:  Biol Cybern       Date:  1993       Impact factor: 2.086

6.  Membrane potential changes of skeletomotor neurons in response to random stretches of the triceps surae muscles in decerebrate cats.

Authors:  D Boskov; M Jocic; K Jovanovic; M Ljubisavljevic; R Anastasijevic
Journal:  Biol Cybern       Date:  1994       Impact factor: 2.086

7.  Multichannel transmission of proprioceptive input to motoneurons.

Authors:  B W Feenstra; R H Tanke; A Crowe
Journal:  Biol Cybern       Date:  1985       Impact factor: 2.086

8.  Continuous functions for the analysis of sensory transduction.

Authors:  F Awiszus
Journal:  Biol Cybern       Date:  1989       Impact factor: 2.086

  8 in total

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