Fuzzy Brain

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.

It is with great pleasure that I present this third volume of the series "Advanced Applications in Pattern Recognition." It represents the summary of many man- (and woman-) years of effort in the field of speech recognition by tne author's former team at the University of Turin. It combines the best results in fuzzy-set theory and artificial intelligence to point the way to definitive solutions to the speech-recognition problem. It is my hope that it will become a classic work in this field.

Fuzzy Logic in Neuroscience with Python: Exploring Brain Functional Connectivity