Mass Action in the Nervous System
eBook - PDF

Mass Action in the Nervous System

  1. 496 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Mass Action in the Nervous System

Book details
Table of contents
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About This Book

Mass Action in the Nervous System: Examination of the Neurophysiological Basis of Adaptive Behavior through the EEG focuses on the neural mechanisms and the behavioral significance of the electroencephalogram, with emphasis on observations made on the mammalian olfactory system. Organized into seven chapters, this book begins with a brief nonmathematical review of the concept of the neuron and the interrelations among neurons that lead to the formation of interactive masses. Some chapters follow on the linear properties of neurons and their parts; the ionic hypothesis; the nonlinear input-output relations of neurons in masses expressed in terms of amplitude-dependent coefficients in linear differential equations; and the relations between the states of activity of neurons. Subsequent chapters describe the properties resulting from feedback within neural masses; the effects of the nonlinearities in the input-output relations of neurons on the behavior of masses; and some inferences concerning the mechanisms of neural signal processing at the level of neural masses. The book is a model for an advanced text in neurophysiology, and some understanding is assumed of the elements of the fields of linear analysis, probability, statistics, theory of potential, neuroanatomy, electrophysiology, neuropharmacology, and experimental psychology.

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Yes, you can access Mass Action in the Nervous System by Bozzano G Luisa in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Human Anatomy & Physiology. We have over one million books available in our catalogue for you to explore.

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Table of contents

  1. Front Cover
  2. Mass Action in the Nervous System: Examination of Neurophysiological Basis of Adaptive Behavior through the EEG
  3. Copyright Page
  4. Table of Contents
  5. Dedication
  6. Preface
  7. Acknowledgments
  8. Notation
  9. Chapter 1. Topological Properties
  10. Chapter 2. Time-Dependent Properties
  11. Chapter 3. Amplitude-Dependent Properties
  12. Chapter 4. Space-Dependent Properties
  13. Chapter 5. Interaction: Single Feedback Loops with Fixed Gain
  14. Chapter 6. Multiple Feedback Loops with Variable Gain
  15. Chapter 7. Signal Processing by Neural Mass Actions
  16. References
  17. Author Index
  18. Subject Index