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Encyclopedia of Computational Neuroscience

  • Reference work
  • © 2022

Overview

Editors:
  1. Dieter Jaeger

    1. Emory University, Atlanta, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Ranu Jung

    1. University of Arkansas, Fayetteville, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Describes mathematical and computational techniques to complement experimental neurophysiology
  • Supports all those seeking a quantitative understanding of neural system function
  • Explores 50 subject areas related to neuroscience and computation
  • Is cross-linked with other major reference works including the Encyclopedia of Neuroscience

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Table of contents (1265 entries)

  1. Front Matter

    Pages i-lvii
    Download chapter PDF

  2. Overview

    1. Auditory Sensing Systems: Overview

      • Rodica Curtu, Susan Denham
      Pages 1-3

    2. Basal Ganglia: Overview

      • Jonathan E. Rubin
      Pages 3-8

    3. Bayesian Approaches in Computational Neuroscience: Overview

      • Ulrik R. Beierholm
      Pages 8-9

    4. Biochemical Signaling Pathways and Diffusion: Overview

      • Kim T. Blackwell
      Pages 9-10

    5. Brain Imaging: Overview

      • Jorge Riera
      Pages 10-12

    6. Brain-Machine Interface: Overview

      • Karim G. Oweiss
      Pages 12-19

    7. Brain-Scale Networks: Overview

      • Theoden I. Netoff
      Pages 19-20

    8. Brainstem Processing: Overview

      • Robert Butera, Kendall Morris
      Pages 20-21

    9. Cable Theory: Overview

      • William R. Holmes
      Pages 21-22

    10. Cerebellum: Overview

      • Fidel Santamaria
      Pages 22-24

    11. Computational Neuroanatomy: Overview

      • David Mayerich, Yoonsuck Choe
      Pages 25-27

    12. Cortex: Overview

      • Lars Schwabe
      Pages 27-32

    13. Databases and Data Repositories in Computational Neuroscience: Overview

      • Richard C. Gerkin, Shreejoy J. Tripathy, Sharon M. Crook, Jeanette Kotaleski
      Pages 32-35

    14. Decision-Making: Overview

      • Emilio Salinas
      Pages 35-37

    15. Deep Brain Stimulation (Models, Theory, Techniques): Overview

      • Peter Alexander Tass, Christian Hauptmann
      Pages 37-40

    16. Dynamical Systems: Overview

      • Alla Borisyuk
      Pages 40-42

    17. Dynamics of Disease States: Overview

      • John Milton
      Pages 42-44

    18. Gamma and Theta Oscillations, Hippocampus: Overview

      • Frances K. Skinner
      Pages 44-45

    19. General Overview of Spinal Anatomy and Physiology Organization

      • Marion Murray
      Pages 45-58
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Keywords

About this book

The annual Computational Neuroscience Meeting (CNS) began in 1990 as a small workshop called Analysis and Modeling of Neural Systems. The goal of the workshop was to explore the boundary between neuroscience and computation. Riding on the success of several seminal papers, physicists had made "Neural Networks" fashionable, and soon the quantitative methods used in these abstract model networks started permeating the methods and ideas of experimental neuroscientists. Although experimental neurophysiological approaches provided many advances, it became increasingly evident that mathematical and computational techniques would be required to achieve a comprehensive and quantitative understanding of neural system function. “Computational Neuroscience” emerged to complement experimental neurophysiology. The Encyclopedia of Computational Neuroscience, published in conjunction with the Organization for Computational Neuroscience, will be an extensive reference work consultable by both researchers and graduate level students. It will be a dynamic, living reference, updatable and containing linkouts and multimedia content whenever relevant.

Editors and Affiliations

  • Emory University, Atlanta, USA

    Dieter Jaeger

  • University of Arkansas, Fayetteville, USA

    Ranu Jung

About the editors

Dr. Dieter Jaeger is a professor in the Department of Biology at Emory University in Atlanta, Georgia. His research examines how basal ganglia impact decision-making and motor control in thalamo-cortical networks through modeling and systems physiological approaches.
Dr. Ranu Jung is Distinguished Professor of Biomedical Engineering and inaugural executive director of the Institute for Integrative and Innovative Research at the University of Arkansas, Fayetteville, Arkansas, where her research concerns neural engineering and computational neuroscience.

Bibliographic Information

  • Book Title: Encyclopedia of Computational Neuroscience

  • Editors: Dieter Jaeger, Ranu Jung

  • DOI: https://doi.org/10.1007/978-1-0716-1006-0

  • Publisher: Springer New York, NY

  • eBook Packages: Biomedical and Life Sciences, Reference Module Biomedical and Life Sciences

  • Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2022

  • Hardcover ISBN: 978-1-0716-1004-6Published: 26 April 2022

  • eBook ISBN: 978-1-0716-1006-0Published: 11 June 2022

  • Edition Number: 2

  • Number of Pages: LVII, 3663

  • Number of Illustrations: 86 b/w illustrations, 232 illustrations in colour

  • Topics: Neurosciences, Neurobiology, Computation by Abstract Devices

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