Spiking Neuron Models: Single Neurons, Populations, Plasticity

— —

Wulfram Gerstner (École Polytechnique Fédérale de Lausanne) Werner M. Kistler (Erasmus Universiteit Rotterdam)

Spiking Neuron Models

Single Neurons, Populations, Plasticity

Wulfram Gerstner (École Polytechnique Fédérale de Lausanne), Werner M. Kistler (Erasmus Universiteit Rotterdam)

$114.95

Paperback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Cambridge University Pres
22 October 2002

Mathematics & Sciences; Neurosciences; Neural networks & fuzzy systems

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 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.

By: Wulfram Gerstner (École Polytechnique Fédérale de Lausanne), Werner M. Kistler (Erasmus Universiteit Rotterdam)
Imprint: Cambridge University Pres
Country of Publication: United Kingdom
Dimensions: Height: 244mm, Width: 177mm, Spine: 23mm
Weight: 990g
ISBN: 9780521890793
ISBN 10: 0521890799
Pages: 496
Publication Date: 22 October 2002
Audience: Professional and scholarly , College/higher education , Undergraduate , Primary
Format: Paperback
Publisher's Status: Active

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.

Reviews for Spiking Neuron Models: Single Neurons, Populations, Plasticity

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