Abstract
The synergetic computer that has originally been developed as an algorithm for pattern recognition has also been used in the life sciences as a model for various self-organizing perceptual processes. Coarse-graining of the order parameter equations of the synergetic computer is discussed for sets of to-be-perceived patterns that vary in the degree to which they can be distinguished from each other. Coarse-gaining is exploited to conduct a model-based analysis on literature data of multistable perception under schizophrenia as tested in motion-induced blindness (MIB) experiments. The analysis not only supports earlier suggestions that schizophrenia reduces the occurrence frequency of the MIB effect but also suggests that the perceptual system of schizophrenia patients is characterized by a greater degree of asymmetry.
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