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POSpiking neural networks
 

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    <p>Which is the book one should start with in the domain of spiking neural networks? I know about Gerstner's <a href="https://rads.stackoverflow.com/amzn/click/0521890799" rel="nofollow noreferrer">"Spiking Neuron Models"</a>, published in 2002. Is there a more recent book, or maybe a more suitable one? I have a background in maths and artificial neural networks. </p> <p>If there are some good articles or overviews in this domain, also add them to the list. </p> <p>Thanks. </p> <p><strong>LATER EDIT</strong></p> <p>Karel's answer:</p> <blockquote> <p>" It depends what do you mean by spiking neural networks - there are at least several basic points of view. Gerstner represents the first one - he is focused on modelling of biological neurons. And his book from 2002 is really good starting point for understanding bio-physical models of neuron. It the past it was possible to find this book also in html ..</p> <p>On the other hand by ¨Spiking neuron" in the computer science context is usually meant the SRMo model (Spike Response Model), which can be used also as an alternative to classical percepron-based networks.</p> <p>This model is described very well in the works of Wolfgang Maass (<a href="http://www.igi.tugraz.at/maass/" rel="nofollow noreferrer">http://www.igi.tugraz.at/maass/</a>). He has focused on the computational power of the model and he compares the SRM model with percepron and RBF-unit.</p> <p>If you want to use the model in a network I recommend to you works of Sander Bohte (<a href="http://homepages.cwi.nl/~sbohte/" rel="nofollow noreferrer">http://homepages.cwi.nl/~sbohte/</a>) who derived SpikeProp algorithm.</p> <p>(I personally derived a variant of SpikeProp which was fast enough to be used for real-word applications.) "</p> </blockquote>
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