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Weakly Connected Neural Networks (Applied Mathematical Sciences)

Frank C. Hoppensteadt, Eugene M. Izhikevich




[PDF.jl46] Weakly Connected Neural Networks (Applied Mathematical Sciences)

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 | #10179316 in Books |  Springer |  2012-12-21 |  2012-12-21 | Original language:English | PDF # 1 |  9.25 x.96 x6.10l,1.30 | File type: PDF | 402 pages

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|| ||From the reviews: ||"...After the introduction, written according to the authors in ordinary language, and well readable even for laymen, follows a nicely written Chapter 2 on bifurcations in neuron dynamics which must be read. Here also spiking and bursting

Devoted to local and global analysis of weakly connected systems with applications to neurosciences, this book uses bifurcation theory and canonical models as the major tools of analysis. It presents a systematic and well motivated development of both weakly connected system theory and mathematical neuroscience, addressing bifurcations in neuron and brain dynamics, synaptic organisations of the brain, and the nature of neural codes. The authors present classical results ...

You easily download any file type for your gadget.Weakly Connected Neural Networks (Applied Mathematical Sciences)   |  Frank C. Hoppensteadt, Eugene M. Izhikevich.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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