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Neuroscience

A Mathematical Primer

  • Alwyn Scott

Table of contents

  1. Front Matter
    Pages I-XX
  2. Pages 25-48
  3. Pages 49-66
  4. Pages 95-113
  5. Pages 115-138
  6. Pages 139-163
  7. Pages 187-232
  8. Pages 257-292
  9. Back Matter
    Pages 315-352

About this book

Introduction

Arguably the most intricate dynamic object in the universe, the human brain is an unsounded source of wonder for the scienti?c community. The primary aim of this book is to provide both students and established - vestigators in the growing area of neuroscience with an appreciation of the roles that mathematics may play in helping to understand this en- maticorgan. Alongwithdiscussionsofresultsobtainedbytheneuroscience community, emphasis is placed on suggesting fruitful research problems for those planning to embark on mathematical studies in neuroscience. To make the overall perspectives understandable to philosophers and psychologists, essential features of the discussions are presented in ordinary English, with more detailed mathematical comments in appendices and footnotes. Although it attempts to maintain both clarity and biological relevance, this is not a text on the anatomy of nerve systems; thus readers should bring some knowledge of neurophysiology through other courses, associated studies, or laboratory research. It is a guiding theme throughout the book that the brain is organized into several quite di?erent levels of dynamic activity. As will be seen, these levels are hierarchically structured, beginning with the molecular dynamics ofintrinsicmembraneproteinsandproceedingupward,throughtheswit- ing properties of active membrane patches and synapses, the emergence of impulses on active ?bers, overall properties of individual neurons, and the growth of functional assemblies of interacting neurons, to the global - namics of a brain. At each level of description, reality turns di?erent facets of her mystery to us, and diverse phenomena make their contributions to the brain’s collective behavior.

Keywords

cognitive science information processing information theory neural modeling neurons neuroscience

Authors and affiliations

  • Alwyn Scott
    • 1
  1. 1.Department of MathematicsUniversity of ArizonaTucsonUSA

Bibliographic information