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Spiking Neuron Models
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  • Page extent: 496 pages
  • Size: 247 x 174 mm
  • Weight: 0.99 kg

Library of Congress

  • Dewey number: 573.8/536
  • Dewey version: 21
  • LC Classification: QP363 .G475 2002
  • LC Subject headings:
    • Neurons
    • Neural networks (Neurobiology)
    • Neuroplasticity
    • Computational neuroscience
    • Trust

Library of Congress Record

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 (ISBN-13: 9780521890793 | ISBN-10: 0521890799)

  • There was also a Hardback of this title but it is no longer available | Adobe eBook
  • Published August 2002

Manufactured on demand: supplied direct from the printer

$84.99 (X)

This introduction to spiking neurons can be used in advanced-level courses in computational neuroscience, theoretical biology, neural modeling, biophysics, or neural networks. It focuses on phenomenological approaches rather than detailed models in order to provide the reader with a conceptual framework. The authors formulate the theoretical concepts clearly without many mathematical details. While the book contains standard material for courses in computational neuroscience, neural modeling, or neural networks, it also provides an entry to current research. No prior knowledge beyond undergraduate mathematics is required.


1. Introduction; Part I. Single Neuron Models: 2. Detailed neuron models; 3. Two-dimensional neuron models; 4. Formal spiking neuron models; 5. Noise in spiking neuron models; Part II. Population Models: 6. Population equations; 7. Signal transmission and neuronal coding; 8. Oscillations and synchrony; 9. Spatially structured networks; Part III. Models of Synaptic Plasticity: 10. Hebbian models; 11. Learning equations; 12. Plasticity and coding; Bibliography; Index.

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