Encyclopedia of Computational Neuroscience

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. Adaptation in Sensory Cortices, Models of

   • Klaus Wimmer

8. Adaptive Stimulus Optimization

   • Christopher DiMattina, Kechen Zhang

9. Algorithmic Reconstruction of Motoneuron Morphology

   • Joseph Graham

10. Amari Model

    • Roland Potthast

11. AMPA Glutamate Receptor (AMPA Receptor), Conductance Models

    • Patrick Roberts

12. Anatomy and Physiology of the Mammalian Auditory System

    • Manuel S. Malmierca

13. Anesthesia, Neural Population Models of

    • D. Alistair Steyn-Ross, Moira Steyn-Ross, Jamie Sleigh

14. Anti-Hebbian Learning

    • Yoonsuck Choe

15. Application of Declarative Programming in Neurobiology

    • Thomas J. Anastasio

16. Applications of Information Theory to Analysis of Neural Data

    • Simon R. Schultz, Robin A. A. Ince, Stefano Panzeri

17. Associations and Rewards in the Auditory Cortex

    • Michael Brosch

18. Attentional Top-Down Modulation, Models of

    • Philipp Schwedhelm, Stefan Treue

19. Auditory Brainstem Responses

    • Carles Escera, Natàlia Gorina-Careta

20. Auditory Cortex: Separating Signal from Noise

    • Brian Malone

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.

• Atlanta, USA

  Dieter Jaeger

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

  Ranu Jung

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.

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