Neural Cell Behavior and Fuzzy Logic

✍ Scribed by Uziel Sandler, Lev Tsitolovsky (eds.)

• Publisher: Springer US
• Year: 2009
• Tongue: English
• Leaves: 479
• Edition: 1
• Category: Library

✦ Synopsis

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.

About the authors:

Uziel Sandler is a professor in the Department of Applied Mathematics at Jerusalem College of Technology in Israel. Dr. Sandler is an expert in nonlinear properties and critical behavior of condensed matter, evolutionary computations, and fuzzy sets theory. He has published two books and more than 70 academic articles in scientific journals, and is a member in several worldwide committees in the aforementioned fields.

Professor Lev E.Tsitolovsky is a senior researcher in the Life Science Department of Bar-Ilan University in Israel. He is a renowned expert in the fields of thorough mechanisms of learning, memory , and motivation , and has published over 100 scientific papers and reviews on these topics. Recently, his discovery of excitable membrane plasticity anticipated modern development in this area.

✦ Table of Contents

Front Matter....Pages I-XVIII
The operation of memory (a single neuron can learn)....Pages 11-112
The verve of injured neurons (a single neuron tries to survive)....Pages 113-176
Subjective nature of motivation (a single neuron can want)....Pages 177-246
Goal-directed actions (a single neuron can behave)....Pages 247-285
Death as an awareness-rising factor (a single neuron can suffer and delight)....Pages 287-313
Introduction to fuzzy logic....Pages 317-334
Evolution of Perceptions....Pages 335-360
Fuzzy dynamics of a neuronal behavior....Pages 361-382
Conclusion: Is real neuron a primary fuzzy unit?....Pages 383-412
Back Matter....Pages 413-478

✦ Subjects

Neurosciences; Computer Appl. in Life Sciences; Neurobiology; Neurology