help button home button Biophys. J.
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

Biophysical Journal 29: 459-483 (1980)
© 1980 the Biophysical Society

This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Victor, J
Right arrow Articles by Shapley, R
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Victor, J
Right arrow Articles by Shapley, R

A method of nonlinear analysis in the frequency domain.

J Victor and R Shapley

ABSTRACT

A method is developed for the analysis of nonlinear biological systems based on an input temporal signal that consists of a sum of a large number of sinusoids. Nonlinear properties of the system are manifest by responses at harmonics and intermodulation frequencies of the input frequencies. The frequency kernels derived from these nonlinear responses are similar to the Fourier transforms of the Wiener kernels. Guidelines for the choice of useful input frequency sets, and examples satisfying these guidelines, are given. A practical algorithm for varying the relative phases of the input sinusoids to separate high-order interactions is presented. The utility of this technique is demonstrated with data obtained from a cat retinal ganglion cell of the Y type. For a high spatial frequency grafting, the entire response is contained in the even-order nonlinear components. Even at low contrast, fourth-order components are detectable. This suggests the presence of an essential nonlinearity in the functional pathway of the Y cell, with its singularity at zero contrast.




This article has been cited by other articles:


Home page
Neural Comput.Home page
S. Hong, B. Aguera y Arcas, and A. L. Fairhall
Single neuron computation: from dynamical system to feature detector.
Neural Comput., December 1, 2007; 19(12): 3133 - 3172.
[Abstract] [Full Text] [PDF]


Home page
J. Appl. Physiol.Home page
H. Yuan, S. Kononov, F. S. A. Cavalcante, K. R. Lutchen, E. P. Ingenito, and B. Suki
Effects of collagenase and elastase on the mechanical properties of lung tissue strips
J Appl Physiol, July 1, 2000; 89(1): 3 - 14.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
H. M. Sakai, H. Machuca, and K.-I. Naka
Processing of Color- and Noncolor-Coded Signals in the Gourami Retina. II. Amacrine Cells
J Neurophysiol, October 1, 1997; 78(4): 2018 - 2033.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 1980 by the Biophysical Society.