Literature DB >> 3801534

The identification of nonlinear biological systems: Wiener and Hammerstein cascade models.

I W Hunter, M J Korenberg.   

Abstract

Systems that can be represented by a cascade of a dynamic linear subsystem preceded (Hammerstein cascade model) or followed (Wiener cascade model) by a static nonlinearity are considered. Various identification schemes that have been proposed for the Hammerstein and Wiener systems are critically reviewed with reference to the special problems that arise in the identification of nonlinear biological systems. Examples of Wiener and Hammerstein systems are identified from limited duration input-output data using an iterative identification scheme.

Mesh:

Year:  1986        PMID: 3801534     DOI: 10.1007/bf00341929

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


  8 in total

1.  A family of quasi-white random signals and its optimal use in biological system identification. Part II: application to the photoreceptor of Calliphora erythrocephala.

Authors:  V Z Marmarelis; G D McCann
Journal:  Biol Cybern       Date:  1977-07-08       Impact factor: 2.086

2.  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

3.  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

4.  NEXUS: a computer language for physiological systems and signal analysis.

Authors:  I W Hunter; R E Kearney
Journal:  Comput Biol Med       Date:  1984       Impact factor: 4.589

5.  Vestibular (semicircular canal) primary neurons in bullfrog: nonlinearity of individual and population response to rotation.

Authors:  B N Segal; J S Outerbridge
Journal:  J Neurophysiol       Date:  1982-04       Impact factor: 2.714

6.  Sequential analysis of the visual evoked potential system in man: nonlinear analysis of a sandwich system.

Authors:  H Spekreijse; D Reits
Journal:  Ann N Y Acad Sci       Date:  1982       Impact factor: 5.691

7.  Generation of random sequences with jointly specified probability density and autocorrelation functions.

Authors:  I W Hunter; R E Kearney
Journal:  Biol Cybern       Date:  1983       Impact factor: 2.086

8.  Two-sided linear filter identification.

Authors:  I W Hunter; R E Kearney
Journal:  Med Biol Eng Comput       Date:  1983-03       Impact factor: 2.602

  8 in total
  65 in total

1.  Suppressive mechanisms in monkey V1 help to solve the stereo correspondence problem.

Authors:  Seiji Tanabe; Ralf M Haefner; Bruce G Cumming
Journal:  J Neurosci       Date:  2011-06-01       Impact factor: 6.167

Review 2.  Mapping receptive fields in primary visual cortex.

Authors:  Dario L Ringach
Journal:  J Physiol       Date:  2004-05-21       Impact factor: 5.182

3.  A new algorithm for the identification of multiple input Wiener systems.

Authors:  D T Westwick; R E Kearney
Journal:  Biol Cybern       Date:  1992       Impact factor: 2.086

4.  Structural classification of multi-input nonlinear systems.

Authors:  H W Chen; L D Jacobson; J P Gaska
Journal:  Biol Cybern       Date:  1990       Impact factor: 2.086

5.  Local field potentials allow accurate decoding of muscle activity.

Authors:  Robert D Flint; Christian Ethier; Emily R Oby; Lee E Miller; Marc W Slutzky
Journal:  J Neurophysiol       Date:  2012-04-11       Impact factor: 2.714

6.  A system identification analysis of neural adaptation dynamics and nonlinear responses in the local reflex control of locust hind limbs.

Authors:  Oliver P Dewhirst; Natalia Angarita-Jaimes; David M Simpson; Robert Allen; Philip L Newland
Journal:  J Comput Neurosci       Date:  2012-06-23       Impact factor: 1.621

7.  Contributions of the input signal and prior activation history to the discharge behaviour of rat motoneurones.

Authors:  R K Powers; Y Dai; B M Bell; D B Percival; M D Binder
Journal:  J Physiol       Date:  2004-12-20       Impact factor: 5.182

8.  Role of reflex dynamics in spinal stability: intrinsic muscle stiffness alone is insufficient for stability.

Authors:  Kevin M Moorhouse; Kevin P Granata
Journal:  J Biomech       Date:  2006-06-16       Impact factor: 2.712

9.  Identifying a static nonlinear structure in a biological system using noisy, sparse data.

Authors:  Joshua R Porter; John S Burg; Peter J Espenshade; Pablo A Iglesias
Journal:  J Theor Biol       Date:  2012-02-01       Impact factor: 2.691

10.  Prediction of upper limb muscle activity from motor cortical discharge during reaching.

Authors:  Eric A Pohlmeyer; Sara A Solla; Eric J Perreault; Lee E Miller
Journal:  J Neural Eng       Date:  2007-11-12       Impact factor: 5.379

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