Prediction of linear and non-linear responses of MGB neurons by system identification methods

DOI10.1007/BF02460112zbMath0667.92003OpenAlexW4229637135WikidataQ52543814 ScholiaQ52543814MaRDI QIDQ1117848

Z. Wollberg, Yehezkel Yeshurun, N. Richter-Dyn

Publication date: 1989

Published in: Bulletin of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02460112

zbMATH Keywords

sensory physiologystimulus-response relationshipsVolterra approachinput-output relationships of cellsmedial geniculate bodyMGB cellsparallel processing of auditory informationspectral components of the vocalizationSystem Identification methods

Mathematics Subject Classification ID

Physiological, cellular and medical topics (92Cxx)

Cites Work

• Unnamed Item
• Identification of MGB cells by Volterra kernels. II. Towards a functional classification of cells
• Kernel method for nonlinear analysis: Identification of a biological control system
• A family of quasi-white random signals and its optimal use in biological system identification. I: Theory
• The kernel identification method (1910-1977)-review of theory, calculation, application, and interpretation
• Identification of MGB cells by Volterra kernels. I. Prediction of responses to species specific vocalizations

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