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  • Reference work
  • © 2015

Encyclopedia of Computational Neuroscience

  • 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

  • Includes supplementary material:

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Table of contents (1190 entries)

  1. Front Matter

    Pages i-lxiii
  2. Overview

    1. Auditory Sensing Systems: Overview

      • Susan Denham
      Pages 1-2
    2. Basal Ganglia: Overview

      • Jonathan Rubin
      Pages 3-7
    3. Brain Imaging: Overview

      • Jorge Riera
      Pages 9-11
    4. Brain-Machine Interface: Overview

      • Karim G. Oweiss
      Pages 11-18
    5. Brain-Scale Networks: Overview

      • Theoden I. Netoff
      Pages 18-20
    6. Brainstem Processing: Overview

      • Robert Butera, Kendall Morris
      Pages 20-20
    7. Cable Theory: Overview

      • William R. Holmes
      Pages 20-21
    8. Cerebellum: Overview

      • Fidel Santamaria
      Pages 21-24
    9. Computational Neuroanatomy: Overview

      • Yoonsuck Choe
      Pages 24-26
    10. Cortex: Overview

      • Lars Schwabe
      Pages 26-31
    11. Databases and Data Repositories in Computational Neuroscience: Overview

      • Richard C. Gerkin, Shreejoy J. Tripathy, Sharon Crook, Jeanette Hellgren Kotaleski
      Pages 31-34
    12. Decision-Making: Overview

      • Emilio Salinas
      Pages 34-36
    13. Deep Brain Stimulation (Models, Theory, Techniques): Overview

      • Peter Alexander Tass, Christian Hauptmann
      Pages 36-39
    14. Dynamical Systems: Overview

      • Alla Borisyuk
      Pages 39-41
    15. Dynamics of Disease States: Overview

      • John Milton
      Pages 41-43
    16. Information Theory: Overview

      • Alexander Dimitrov
      Pages 44-46

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.


“This is the best single stand alone reference concerning the mathematical and statistical modeling of neural systems and neurobiology. … The references, diagrams, in color photos, and formulae are complete. … The book should help all students and senior investigators alike. I endorse the science of this outstanding reference.” (Joseph J. Grenier,, June, 2015)

Editors and Affiliations

  • Department of Biology, Emory University, Atlanta, USA

    Dieter Jaeger

  • Department of Biomedical Engineering, Florida International University, Miami, USA

    Ranu Jung

About the editors

Dr. Ranu Jung is the Wallace H. Coulter Eminent Scholars Chair of Biomedical Engineering at Florida International University, where her research concerns neural engineering and computational neuroscience. Dr. Dieter Jaeger is Professor in the Department of Biology at Emory University in Atlanta, Georgia. His research examines how neurons in the basal ganglia and in the cerebellum process their inputs, in order to understand the motor function of basal ganglia and cerebellar networks.

Bibliographic Information

Buy it now

Buying options

eBook USD 2,499.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access