Wulfram Gerstner

Spiking Neuron Models (eBook, PDF)

Single Neurons, Populations, Plasticity

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 15. August 2002
• Englisch
• ISBN-13: 9780511075063
• Artikelnr.: 38192567

Inhaltsangabe

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.