Spiking neuron models : single neurons, populations, plasticity / Wulfram Gerstner, Werner M. Kistler.
Material type:
TextPublication details: Cambridge, U.K. ; New York : Cambridge University Press, 2002.Description: 1 online resource (xiv, 480 pages) : illustrationsContent type: - text
- computer
- online resource
- 051107817X
- 9780511078170
- 0511076606
- 9780511076602
- 0511075065
- 9780511075063
- 9780511815706
- 0511815700
- 1283329352
- 9781283329354
- 9780511203756
- 0511203756
- Neurons
- Neural networks (Neurobiology)
- Neuroplasticity
- Computational neuroscience
- Neural circuitry
- Neurons
- Models, Neurological
- Nerve Net
- Neuronal Plasticity
- Neurones
- Réseaux neuronaux (Neurobiologie)
- Plasticité neuronale
- Neurosciences informatiques
- Réseaux nerveux
- SOCIAL SCIENCE -- Anthropology -- Physical
- Neural networks (Neurobiology)
- Neuroplasticity
- Computational neuroscience
- Neurons
- Computational neuroscience
- Neural networks (Neurobiology)
- Neurons
- Neuroplasticity
- Mathematisches Modell
- Nervenerregung
- Nervennetz
- Plastizität Physiologie
- Cognitieve processen
- Neurowetenschappen
- Neurociências
- Rede nervosa
- Plasticidade neuronal
- 573.8/536 22
- QP363 .G475 2002eb
- 2007 A-362
- WL 102.5
- 77.50
- Q189
- Q421
- WW 3880
- PHY 825f
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Includes bibliographical references (pages 455-475) and index.
Single Neuron Models -- Detailed neuron models -- Two-dimensional neuron models -- Formal spiking neuron models -- Noise in spiking neuron models -- Population Models -- Population equations -- Signal transmission and neuronal coding -- Oscillations and synchrony -- Spatially structured networks -- Models of Synaptic Plasticity -- Hebbian models -- Learning equations -- Plasticity and coding.
Print version record.
Aimed at courses in computational neuroscience, theoretical biology, biophysics, or neural networks, this text will suit students of physics, mathematics, or computer science, as well as biologists who are interested in mathematical modelling. A large number of worked examples are embedded in the profusely-illustrated text.
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