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Spiking Neuron Models Single Neurons, Populations, Plasticity [Paperback]

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  • Category: Books (Social Science)
  • Author:  Gerstner, Wulfram, Kistler, Werner M.
  • Author:  Gerstner, Wulfram, Kistler, Werner M.
  • ISBN-10:  0521890799
  • ISBN-10:  0521890799
  • ISBN-13:  9780521890793
  • ISBN-13:  9780521890793
  • Publisher:  Cambridge University Press
  • Publisher:  Cambridge University Press
  • Pages:  496
  • Pages:  496
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-May-2002
  • Pub Date:  01-May-2002
  • SKU:  0521890799-11-MPOD
  • SKU:  0521890799-11-MPOD
  • Item ID: 100260955
  • Seller: ShopSpell
  • Ships in: 2 business days
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  • Delivery by: Jan 19 to Jan 21
  • Notes: Brand New Book. Order Now.
This 2002 book is an introduction to spiking neurons for advanced undergraduate or graduate students.This is an introduction to spiking neurons for advanced undergraduate or graduate students. It can be used with 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. No prior knowledge beyond undergraduate mathematics is necessary to follow the book. Thus it should appeal to students or researchers in physics, mathematics, or computer science interested in biology; moreover it will also be useful for biologists working in mathematical modeling.This is an introduction to spiking neurons for advanced undergraduate or graduate students. It can be used with 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. No prior knowledge beyond undergraduate mathematics is necessary to follow the book. Thus it should appeal to students or researchers in physics, mathematics, or computer science interested in biology; moreover it will also be useful for biologists working in mathematical modeling.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. Il3+
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