Some basic principles of fuzzy neural computing using synaptic and somatic operations are presented. The neural systems based upon conventional algebraic synaptic (confluence) and somatic (aggregation) operations are briefly reviewed. A detailed neuronal morphology based upon fuzzy logic and its generalization in the form of T-operators are provided. For such fuzzy logic based neurons, the learning and adaptation algorithm is developed.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Madan M. Gupta (2003) studied this question.