Using evolutionary algorithms for fitting high-dimensional models to neuronal data

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Using evolutionary algorithms for fitting high-dimensional models to neuronal data

n the study of neurosciences, and of complex biological systems in general, there is frequently a need to fit mathematical models with large numbers of parameters to highly complex datasets. Here we consider algorithms of two different classes, gradient following (GF) methods and evolutionary algori...

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Bibliographic Details
Main Authors:	Svensson, Carl-Magnus, Coombes, Stephen, Peirce, Jonathan
Format:	Article
Published:	Springer Verlag 2012
Online Access:	https://eprints.nottingham.ac.uk/2735/

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