1 December 1993 Chaos, order, and associative memory in video feedback
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Abstract
A video image circulating in a loop with a local nonlinearity and a convolution operator can be considered as a high dimensional nonlinear dynamical system, or as a specific neural net. The evolving image displays spatiotemporal deterministic chaos, oscillations, and stable patterns. The specific behavior of the system is strongly determined by the coupling of pixels, i.e., by the synaptic pattern and by the nonlinearity. The system can be trained to display a certain given image as a fixed point. Thus, it is able to associatively restore perturbed input images, independently of a spatial shift.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gerd Haeusler, T. Neumahr, Lucas Parra, Harald Schoenfeld, B. Spellenberg, "Chaos, order, and associative memory in video feedback", Proc. SPIE 2039, Chaos in Optics, (1 December 1993); doi: 10.1117/12.164774; https://doi.org/10.1117/12.164774
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