Spiking Neuron Models

Author: Wulfram Gerstner

Publisher: Cambridge University Press

Release: 2002-08-15

Total Pages: 480

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This is an introduction to spiking neurons for advanced undergraduate or graduate students.

Spiking Neuron Models

Author: Wulfram Gerstner

Publisher: Cambridge University Press

Release: 2002-08-15

Total Pages: 496

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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.

Spiking Neural Networks

Author: Shaun Donachy

Publisher:

Release: 2015

Total Pages: 80

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Networks of spiking neurons can be used not only for brain modeling but also to solve graph problems.

A Spiking Neuron Model

Author: Guido Bugmann

Publisher:

Release: 2018

Total Pages: 27

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The firing rate is then determined by the average input firing rate. Overall this work illustrates how a hardware-realisable neuron model can capitalise on the unique computational capabilities of biological neurons.

Neuronal Dynamics

Author: Wulfram Gerstner

Publisher: Cambridge University Press

Release: 2014-07-24

Total Pages: 590

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This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.