English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Considerations on models of movement detection

MPS-Authors
/persons/resource/persons84913

Poggio,  T
Former Department Information Processing in Insects, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84160

Reichardt,  W
Former Department Information Processing in Insects, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

External Resource
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Poggio, T., & Reichardt, W. (1973). Considerations on models of movement detection. Kybernetik, 13(4), 223-227. doi:10.1007/BF00274887.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-F1BE-3
Abstract
A general characterization of multi-input movement detection models is given in terms of the Volterra series formalism. When nonlinearities of order higher than the second are negligible, an n-input system can be decomposed into a set of 2-input systems, summing linearly. For a (symmetrical) 2-input system which has significant nonlinearities only up to the second order, the correlation model is its most general expression, if the infinite time average of the output is taken. Specific observations from optomotor experiments (e.g. phase invariance and contrast frequency dependence) can be interpreted in a general way in terms of properties of the Volterra representation.
We would like to thank Mr. E. Buchner, Dr. K. Kirschfeld, Mr. B. Pick, Mr. Ch. Wehrhahn and especially Dr. K. G. Götz for critical remarks. Thanks are also due to Dr. B. Rosser for reading and to Mrs. I. Geiss for typing the English manuscript.