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  • Living reference work
  • © 2020

Encyclopedia of Computational Neuroscience

  • A comprehensive overview of the computational neuroscience field, relevant for both researchers and students

  • Contains nearly 1,000 entries in 50 subject areas

  • Cross-linked with the Encyclopedia of Neuroscience, the Encyclopedia of Machine Learning, and other major reference works

This is a preview of subscription content, access via your institution.

Table of contents (622 entries)

  1. 3D Shape Perception, Models of

    • Benjamin Kunsberg, Steven W. Zucker
  2. A Model of the Intermittent Control Strategy for Stabilizing Human Quiet Stance

    • Taishin Nomura, Yasuyuki Suzuki, Pietro G. Morasso
  3. Accumulation of Evidence in Decision Making

    • Alexander C. Huk, Leor N. Katz, Jacob L. Yates
  4. Acoustic Timbre Recognition

    • Daniel Pressnitzer, Trevor Agus, Clara Suied
  5. Action Potential Back-Propagation

    • Sonia Gasparini, Michele Migliore
  6. Action Potential Initiation

    • Dejan Zecevic, Marko Popovic
  7. Adaptive Stimulus Optimization

    • Christopher DiMattina, Kechen Zhang
  8. Amari Model

    • Roland Potthast
  9. Anesthesia, Neural Population Models of

    • D. Alistair Steyn-Ross, Moira Steyn-Ross, Jamie Sleigh
  10. Anti-Hebbian Learning

    • Yoonsuck Choe
  11. Applications of Information Theory to Analysis of Neural Data

    • Simon R. Schultz, Robin A. A. Ince, Stefano Panzeri
  12. Attentional Top-Down Modulation, Models of

    • Philipp Schwedhelm, Stefan Treue
  13. Auditory Brainstem Responses

    • Carles Escera, Natàlia Gorina-Careta

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. In 2002, the non-profit organization, Organization for Computational Neuroscience (OCNS) was formed. OCNS has now become the first professional society serving the global computational neuroscience community. OCNS as a society lives at the interface where experimental neuroscience meets theoretical, statistical and computer-simulation analyses, with the hope of turning large collections of experimental results into a principled understanding of nervous systems. It also supports the development of new engineering, computational and informatics techniques for data collection, analyses and management.

 

The Encyclopedia of Computational Neuroscience will be consultable by both researchers and graduate level students. It will be a dynamic, living reference, continually updatable and containing linkouts and multimedia content whenever relevant.



Editors and Affiliations

  • Atlanta, USA

    Dieter Jaeger

  • Department of Biomedical Engineering, Florida International University, Miami, 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/10.1007/978-1-4614-7320-6

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Reference Biomedicine & Life Sciences, Reference Module Biomedical and Life Sciences

  • Number of Illustrations: 1000 b/w illustrations

  • Additional Information: In 2 volumes, not available separately

  • Topics: Neuroscience, Zoology, Theory of Computation