Several theories consider the brain to be a network of neurons that process perception with simple activation functions. Real neurons, however, are far more intricate.Through reviews of literature and results from original experiments, Neural Cell Behavior and Fuzzy Logic offers a comprehensive look at these complex systems, supplying trustworthy evidence that neurons can predict the consequences of input signals and transiently change their own excitability to suit. The book also examines how fuzzy logic, the computing of perceptions, can be used to provide a theoretical description of real neuron behavior, and as a model for the "logic" the brain uses to describe environments and make decisions. This book includes sections for general and advanced readers, and will be particularly useful to neuroscience students, academics and researchers as well as to mathematicians and theoretical physicists.

"This book covers at an advanced level the most fundamental ideas, concepts and methods in the field of applications of fuzzy logic to the study of neural cell behavior. Motivation and awareness are examined from a physiological and biochemical perspective illustrating fuzzy mechanisms of complex systems."

The being of neural cells.- The operation of memory (a single neuron can learn).- The verve of injured neurons (a single neuron tries to survive).- Subjective nature of motivation (a single neuron can want).- Goal-directed actions (a single neuron can behave).- Death as an awareness-rising factor (a single neuron can suffer and delight).- Mathematics of feeling.- to fuzzy logic.- Evolution of Perceptions.- Fuzzy dynamics of a neuronal behavior.- Conclusion: Is real neuron a primary fuzzy unit?.