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Titlebook: Brain Dynamics; An Introduction to M Hermann Haken Book 2008Latest edition Springer-Verlag Berlin Heidelberg 2008 Computational Neuroscienc

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發(fā)表于 2025-3-23 10:17:31 | 只看該作者
Conclusion and Outlookneural nets: the lighthouse model and integrate and fire models. I tried a systematic exposition, which made all calculations explicit. So I am sure the reader could follow step by step. Let us first recapitulate our results on the lighthouse model. We established the phase-locked state, whereby an
12#
發(fā)表于 2025-3-23 16:34:36 | 只看該作者
13#
發(fā)表于 2025-3-23 21:42:44 | 只看該作者
Michael Paluszek,Stephanie Thomaslly reach the synapses that, in a way to be discussed below, transfer the information to another neuron. In order to be able to model the functioning of a neuron, we have to deal with these processes in more detail. In this chapter we will be satisfied by a qualitative discussion with only a few mat
14#
發(fā)表于 2025-3-23 22:32:11 | 只看該作者
15#
發(fā)表于 2025-3-24 02:27:16 | 只看該作者
16#
發(fā)表于 2025-3-24 08:58:00 | 只看該作者
17#
發(fā)表于 2025-3-24 12:42:29 | 只看該作者
https://doi.org/10.1007/978-3-031-27458-9nd (8.140). We then essentially obtain equations that were derived by Wilson and Cowan who called them cortical dynamics equations. Wilson and Cowan established their equations directly, i.e. without an averaging procedure as outlined in Sect. 8.13. They consider two types of neurons, namely (a) exc
18#
發(fā)表于 2025-3-24 16:25:04 | 只看該作者
19#
發(fā)表于 2025-3-24 19:33:59 | 只看該作者
0172-7389 er, to enhance the usefulness as textbook and for self-study, the detailed solutions for all 34 exercises throughout the text have been added..978-3-642-09450-7978-3-540-75238-7Series ISSN 0172-7389 Series E-ISSN 2198-333X
20#
發(fā)表于 2025-3-25 02:44:56 | 只看該作者
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