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, ...
The complexity of human movement arises from the management of redundant (bio)mechanical degrees of ...
Many investigators are currently developing models to predict human performance in detecting a signa...
This thesis treats the mathematical modeling of the human smooth pursuit system using Volterra-Lague...
A general characterization of multi-input movement detection models is given in terms of the Volterr...
Movement detectors of the so-called correlation type were proposed long ago to explain motion percep...
The local extraction of motion information from brightness patterns by individual movement detectors...
In the theoretical part of the present work the input-output relation for a multi-input system is de...
This thesis treats the identification of Volterra models of the human smooth pursuit system from eye...
We address the problem of performing decision tasks and, in particular, classification and recogniti...
A model of motion detection is presented. The model contains three stages. The first stage is unorie...
The first part of this paper deals with a system-theoretical approach for the decomposition of multi...
Volterra and Wiener series are two classes of polynomial representations of nonlinear systems. They ...
The paper is dealing in its first part with a system-theoretical approach for the decomposition of m...
We propose a model of direction-sensitive units in human vision. It is a modified and elaborated ver...
The thesis deals with theoretical aspects of the measurement, by correlation, of the kernels of time...
The complexity of human movement arises from the management of redundant (bio)mechanical degrees of ...
Many investigators are currently developing models to predict human performance in detecting a signa...
This thesis treats the mathematical modeling of the human smooth pursuit system using Volterra-Lague...
A general characterization of multi-input movement detection models is given in terms of the Volterr...
Movement detectors of the so-called correlation type were proposed long ago to explain motion percep...
The local extraction of motion information from brightness patterns by individual movement detectors...
In the theoretical part of the present work the input-output relation for a multi-input system is de...
This thesis treats the identification of Volterra models of the human smooth pursuit system from eye...
We address the problem of performing decision tasks and, in particular, classification and recogniti...
A model of motion detection is presented. The model contains three stages. The first stage is unorie...
The first part of this paper deals with a system-theoretical approach for the decomposition of multi...
Volterra and Wiener series are two classes of polynomial representations of nonlinear systems. They ...
The paper is dealing in its first part with a system-theoretical approach for the decomposition of m...
We propose a model of direction-sensitive units in human vision. It is a modified and elaborated ver...
The thesis deals with theoretical aspects of the measurement, by correlation, of the kernels of time...
The complexity of human movement arises from the management of redundant (bio)mechanical degrees of ...
Many investigators are currently developing models to predict human performance in detecting a signa...
This thesis treats the mathematical modeling of the human smooth pursuit system using Volterra-Lague...