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  Volterra representation and Wiener-like identification of nonlinear systems: scope and limitations

Palm, G., & Pöpel, B. (1985). Volterra representation and Wiener-like identification of nonlinear systems: scope and limitations. Quarterly Reviews of Biophysics, 18(2), 135-164. doi:10.1017/S0033583500005163.

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Palm, G1, 2, Author           
Pöpel, B, Author
Affiliations:
1Former Department Structure and Function of Natural Nerve-Net , Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497803              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: After the work of Marmarelis & Naka (1972, 1973) in the catfish retina, systems analysis using stochastic stimuli has had a boom in the seventies (e.g. McCann & Marmarelis, 1975; Eckert & Bishop, 1975; French & Wong, 1977; Lipson, 1975; McCann, 1974; Naka, Marmarelis & Chan, 1975; Spekreijse & Reits, 1982; Trimble & Phillips, 1978; Terzuolo et al. 1982). White-noise analysis was considered to be a general tool for investigating nonlinear systems gaining a maximum of information with a minimum of assumptions about the system. The modification of the original Wiener theory (Wiener, 1958; Cameron & Martin, 1947; McKean, 1972) by Lee & Schetzen (1965) made the theory fairly easy to implement into widely available computers and thus accessible to a larger number of experimenters.

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 Dates: 1985-05
 Publication Status: Issued
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 Identifiers: DOI: 10.1017/S0033583500005163
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Title: Quarterly Reviews of Biophysics
  Other : Q. Rev. Biophys.
Source Genre: Journal
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Publ. Info: London : Cambridge University Press.
Pages: - Volume / Issue: 18 (2) Sequence Number: - Start / End Page: 135 - 164 Identifier: ISSN: 0033-5835
CoNE: https://pure.mpg.de/cone/journals/resource/954925334697