Literature DB >> 1741527

Dissection of a nonlinear cascade model for sensory encoding.

A S French1, M J Korenberg.   

Abstract

Action potential encoding in the cockroach tactile spine neuron may be treated as a single-input, single-output dynamic nonlinear process, where the input is the electric current flowing across the neuronal membrane and the output is the resultant train of action potentials. The nonlinear behavior of the system may be characterized by a functional expansion method which efficiently and accurately yields similar kernels to the Wiener method. A simple nonlinear cascade consisting of sequential dynamic linear, static nonlinear, and dynamic linear components was identified and gives a good approximation to the response of the neuron to random stimulation. Next, we attempted to study the components of the cascade by the use of a drug, phentolamine, which selectively modifies the dynamic behavior of the encoder. Application of phentolamine to the neuron caused a significant change in the first dynamic linear component of the cascade without affecting the other components. The change was much larger than the variability between results obtained from individual animals. This finding has implications for the biophysical processes which are involved in the components of the cascade.

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Year:  1991        PMID: 1741527     DOI: 10.1007/bf02584321

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  15 in total

1.  Removal of rapid sensory adaptation from an insect mechanoreceptor neuron by oxidizing agents which affect sodium channel inactivation.

Authors:  A S French
Journal:  J Comp Physiol A       Date:  1987-08       Impact factor: 1.836

2.  A nonlinear cascade model for action potential encoding in an insect sensory neuron.

Authors:  A S French; M J Korenberg
Journal:  Biophys J       Date:  1989-04       Impact factor: 4.033

3.  The identification of nonlinear biological systems: LNL cascade models.

Authors:  M J Korenberg; I W Hunter
Journal:  Biol Cybern       Date:  1986       Impact factor: 2.086

4.  Identifying nonlinear difference equation and functional expansion representations: the fast orthogonal algorithm.

Authors:  M J Korenberg
Journal:  Ann Biomed Eng       Date:  1988       Impact factor: 3.934

5.  The estimation of the frequency response function of a mechanoreceptor.

Authors:  A S French; A V Holden; R B Stein
Journal:  Kybernetik       Date:  1972-07

6.  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

7.  Linearizing: a method for analysing and synthesizing nonlinear systems.

Authors:  H Spekreijse; H Oosting
Journal:  Kybernetik       Date:  1970-04

8.  The mechanosensory apparatus of the femoral tactile spine of the cockroach, Periplaneta americana.

Authors:  A S French; E J Sanders
Journal:  Cell Tissue Res       Date:  1981       Impact factor: 5.249

9.  Phentolamine selectively affects the fast sodium component of sensory adaptation in an insect mechanoreceptor.

Authors:  J M Ramirez; A S French
Journal:  J Neurobiol       Date:  1990-09

10.  Intracellular measurements from a rapidly adapting sensory neuron.

Authors:  T A Basarsky; A S French
Journal:  J Neurophysiol       Date:  1991-01       Impact factor: 2.714

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  3 in total

1.  Nonlinear neuronal mode analysis of action potential encoding in the cockroach tactile spine neuron.

Authors:  A S French; V Z Marmarelis
Journal:  Biol Cybern       Date:  1995-10       Impact factor: 2.086

2.  Directional sensitivity of tuberous electroreceptors: polarity preferences and frequency tuning.

Authors:  J R McKibben; C D Hopkins; D D Yager
Journal:  J Comp Physiol A       Date:  1993-10       Impact factor: 1.836

3.  A method for constructing data-based models of spiking neurons using a dynamic linear-static nonlinear cascade.

Authors:  M G Paulin
Journal:  Biol Cybern       Date:  1993       Impact factor: 2.086

  3 in total

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