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Spiral neural networks

What book should I start with in the area of ​​neural network pop-ups? I know about Gerstner's "Spiking Neuron Models" , published in 2002. Is there a more recent book, or maybe a more suitable one? I have experience in mathematics and artificial neural networks.

If there are good articles or reviews in this domain, also add them to the list.

Thank you

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Karel answer:

"It depends on what you mean when talking about neural networks - there are at least a few basic points of view. Gerstner presents the first - he focuses on modeling biological neurons. And his 2002 book is really a good starting point for understanding bio - physical models of a neuron In the past, this book could also be found in html.

On the other hand, “neuron splitting” in the context of computer science usually refers to the SRMo (Spike Response Model) model, which can also be used as an alternative to classical perceptron networks.

This model is very well described in the works of Wolfgang Maass ( http://www.igi.tugraz.at/maass/ ). He focused on the computational power of the model and compares the SRM model with the perceptron and RBF unit.

, Sander Bohte (http://homepages.cwi.nl/~sbohte/), SpikeProp.

( SpikeProp, , .) "

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Source: https://habr.com/ru/post/1746396/

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