1 October 1990 Image surface predicates and the neural encoding of two-dimensional signal variations
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Empirical evidence from both psychology and physiology stresses the importance of inherently two-dimensional signals and corresponding operations in vision. Examples of this are the existence of "bug-detectors" , hypercomplex and dot-responsive cells, the occurence of contour illusions, and interactions of patterns with clearly separated orientations. These phenomena can not be described, and have been largely ignored, by common theories of size and orientation selective channels. The reason for this is shown to be located at the heart of the theory of linear systems: their one-dimensional eigenfunctions and the "or"-like character of the superposition principle. Consequently, a nonlinear theory is needed. We present a first approach towards a general framework for the description of 2D-signals and 2D-cells in biological vision.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christoph Zetzsche, Christoph Zetzsche, Erhardt Barth, Erhardt Barth, } "Image surface predicates and the neural encoding of two-dimensional signal variations", Proc. SPIE 1249, Human Vision and Electronic Imaging: Models, Methods, and Applications, (1 October 1990); doi: 10.1117/12.19667; https://doi.org/10.1117/12.19667

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