Abstract
This article discusses a Fuzzy Logic (FL)-based model of neural coding and integration, proposed to be a formal extension of the Across-Fiber Pattern (AFP) theory. FL integration is conceptually similar to Bayesian reasoning, thus providing close-to-optimal decisions, and is also robust in that it does not require complete information. As a formal extension of AFP theory, the FL model describes sensory integration given multiple sources of information. When applied to gustation, the FL model is suggested to describe integration of information at the level of real-time pattern of single neural responses, population coding, and taste perception, as well as to provide a suitable description of taste mixtures.
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