Neural Systems: Analysis and Modeling

Editors: Eeckman, Frank (Ed.)

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About this book

In recent years there has been tremendous activity in computational neuroscience resulting from two parallel developments. On the one hand, our knowledge of real nervous systems has increased dramatically over the years; on the other, there is now enough computing power available to perform realistic simulations of actual neural circuits. This is leading to a revolution in quantitative neuroscience, which is attracting a growing number of scientists from non-biological disciplines. These scientists bring with them expertise in signal processing, information theory, and dynamical systems theory that has helped transform our ways of approaching neural systems. New developments in experimental techniques have enabled biologists to gather the data necessary to test these new theories. While we do not yet understand how the brain sees, hears or smells, we do have testable models of specific components of visual, auditory, and olfactory processing. Some of these models have been applied to help construct artificial vision and hearing systems. Similarly, our understanding of motor control has grown to the point where it has become a useful guide in the development of artificial robots. Many neuroscientists believe that we have only scratched the surface, and that a more complete understanding of biological information processing is likely to lead to technologies whose impact will propel another industrial revolution.
Neural Systems: Analysis and Modeling contains the collected papers of the 1991 Conference on Analysis and Modeling of Neural Systems (AMNS), and the papers presented at the satellite symposium on compartmental modeling, held July 23-26, 1992, in San Francisco, California. The papers included, present an update of the most recent developments in quantitative analysis and modeling techniques for the study of neural systems.

Table of contents (31 chapters)

  • Optimal Real-Time Signal Processing in the Nervous System

    Bialek, William

    Pages 5-28

  • Measuring the coding efficiency of sensory neurons

    Rieke, Fred (et al.)

    Pages 29-38

  • Non-linear Analysis of Models for Biological Pattern Formation: Application to Ocular Dominance Stripes

    Lyons, M. J. (et al.)

    Pages 39-46

  • A Hierarchical Sensory-Motor Architecture of Oscillating Cortical Area Subnetworks

    Baird, Bill (et al.)

    Pages 47-66

  • A Computationally Efficient Spike Initiator Model that Produces a Wide Variety of Neural Responses

    Parnas, B. R. (et al.)

    Pages 67-75

Buy this book

eBook $219.00
price for USA (gross)
  • ISBN 978-1-4615-3560-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $284.00
price for USA
  • ISBN 978-0-7923-9258-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $284.00
price for USA
  • ISBN 978-1-4613-6581-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Neural Systems: Analysis and Modeling
Editors
  • Frank Eeckman
Copyright
1993
Publisher
Springer US
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4615-3560-7
DOI
10.1007/978-1-4615-3560-7
Hardcover ISBN
978-0-7923-9258-3
Softcover ISBN
978-1-4613-6581-5
Edition Number
1
Number of Pages
IX, 465
Topics