Electrophysiological Analysis of Synaptic Transmission

  • Nicholas Graziane
  • Yan Dong

Part of the Neuromethods book series (NM, volume 112)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Basic Concepts

    1. Front Matter
      Pages 1-1
    2. Nicholas Graziane, Yan Dong
      Pages 3-15
    3. Nicholas Graziane, Yan Dong
      Pages 17-31
    4. Nicholas Graziane, Yan Dong
      Pages 33-53
    5. Nicholas Graziane, Yan Dong
      Pages 55-68
    6. Nicholas Graziane, Yan Dong
      Pages 69-78
    7. Nicholas Graziane, Yan Dong
      Pages 79-89
    8. Nicholas Graziane, Yan Dong
      Pages 91-98
  3. Recording of Synaptic Current

    1. Front Matter
      Pages 99-99
    2. Nicholas Graziane, Yan Dong
      Pages 101-110
    3. Nicholas Graziane, Yan Dong
      Pages 111-120
    4. Nicholas Graziane, Yan Dong
      Pages 121-131
    5. Nicholas Graziane, Yan Dong
      Pages 133-143
    6. Nicholas Graziane, Yan Dong
      Pages 145-156
    7. Nicholas Graziane, Yan Dong
      Pages 157-162
  4. Basic Experimentations of Synaptic Transmission

    1. Front Matter
      Pages 163-163
    2. Nicholas Graziane, Yan Dong
      Pages 165-173
    3. Nicholas Graziane, Yan Dong
      Pages 175-186
    4. Nicholas Graziane, Yan Dong
      Pages 187-192

About this book

Introduction

Electrophysiology is one of the finest approaches capable of detecting and analyzing electrical events in the brain. However, like all other experimental approaches, it has its limitations. This book was created to serve as a guide for those endeavoring to understand the function of electrophysiology and its underlying components: neurons, neural systems, and the brain. It introduces and highlights important topics in the field of electrophysiology, while also extending these topics to practical electrophysiological approaches through the perspective of the two authors. This book is ideal for graduate students or junior postdoctoral fellows interested in starting a journey in synaptic neuroscience.

Keywords

analysis brain electrophysiology methods patch-clamp synapse

Authors and affiliations

  • Nicholas Graziane
    • 1
  • Yan Dong
    • 2
  1. 1.Neuroscience DepartmentUniversity of PittsburghPittsburghUSA
  2. 2.Neuroscience DepartmentUniversity of PittsburghPittsburghUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-3274-0
  • Copyright Information Springer Science+Business Media New York 2016
  • Publisher Name Humana Press, New York, NY
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-4939-3273-3
  • Online ISBN 978-1-4939-3274-0
  • Series Print ISSN 0893-2336
  • Series Online ISSN 1940-6045
  • About this book
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