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Plausible Neural Networks For Biological Modelling Mathematical Modelling Theory And Applications PDF, ePub eBook

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The expression neural networks refers traditionally to a class of mathematical algorithms that obtain their proper performance while they learn from examples or from experience as a consequence they are suitable for performing straightforward and relatively simple tasks like classification. Neural networks are also used in the modelling of the functioning of sub systems in the biological nervous system it will be clear that in such cases it is certainly not irrelevant how similar their algorithm is to what is precisely going on in the nervous system. Plausible neural networks for biological modelling by henk ak mastebroek editor je vos editor starting at 7800 plausible neural networks for biological modelling has 2 available editions to buy at half price books marketplace. In this course we study mathematical models of neurons and neuronal networks in the context of biology and establish links to models of cognition content i models of single neurons 1 introduction brain vs computer and a first simple neuron model 2 models on the level of ion current hodgkin huxley model 3 4. Part of the mathematical modelling theory and applications book series mmta volume 13 abstract the main interest of these neural models is their ability to treat two different types of tasks static tasks when the network evolves to a series of fixed points and dynamic non autonomous non converging tasks

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