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  3. Spiking Neuron Models
  • Cited by 2743
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    • Publisher:
      Cambridge University Press
      Publication date:
      05 June 2012
      15 August 2002
      ISBN:
      9780511815706
      9780521890793
      DOI:
      https://doi.org/10.1017/CBO9780511815706
      Dimensions:
      Weight & Pages:
      Dimensions:
      (247 x 174 mm)
      Weight & Pages:
      0.99kg, 496 Pages
      • Subjects:
      Computer Science, Computational Biology and Bioinformatics
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    Subjects:
    Computer Science, Computational Biology and Bioinformatics
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    Book description

    Neurons in the brain communicate by short electrical pulses, the so-called action potentials or spikes. How can we understand the process of spike generation? How can we understand information transmission by neurons? What happens if thousands of neurons are coupled together in a seemingly random network? How does the network connectivity determine the activity patterns? And, vice versa, how does the spike activity influence the connectivity pattern? These questions are addressed in this 2002 introduction to spiking neurons aimed at those taking courses in computational neuroscience, theoretical biology, biophysics, or neural networks. The approach will suit students of physics, mathematics, or computer science; it will also be useful for biologists who are interested in mathematical modelling. The text is enhanced by many worked examples and illustrations. There are no mathematical prerequisites beyond what the audience would meet as undergraduates: more advanced techniques are introduced in an elementary, concrete fashion when needed.

    Reviews

    'The treatment undoubtedly holds pointers to future developments that will allow robots to come closer to their biological prototypes.'

    Source: Journal of Robotica

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