%0 Journal Article %1 schneider:2004:GPEM %A Schneider, Stefan %A Igel, Christian %A Klaes, Christian %A Dinse, Hubert R. %A Wiemer, Jan C. %D 2004 %J Genetic Programming and Evolvable Machines %K computational dynamical evolution fields, neural neuroscience strategy, systems, %N 2 %P 215--227 %R doi:10.1023/B:GENP.0000023689.70987.6a %T Evolutionary Adaptation of Nonlinear Dynamical Systems in Computational Neuroscience %V 5 %X We propose evolutionary änalysis by synthesis" as a powerful tool in computational neuroscience. We present applications of evolution strategies to the adaptation of dynamical systems for brain modelling. First, we compare evolutionary and gradient-based optimisation of dynamic neural fields on an artificial benchmark problem. Then we adjust a few-neuron model developed for explaining our recent findings in a neurobiological experiment, in which we studied the processing of temporal sequences of stimuli in the cortex.

@article{schneider:2004:GPEM, abstract = {We propose evolutionary {"}analysis by synthesis{"} as a powerful tool in computational neuroscience. We present applications of evolution strategies to the adaptation of dynamical systems for brain modelling. First, we compare evolutionary and gradient-based optimisation of dynamic neural fields on an artificial benchmark problem. Then we adjust a few-neuron model developed for explaining our recent findings in a neurobiological experiment, in which we studied the processing of temporal sequences of stimuli in the cortex.}, added-at = {2008-06-19T17:35:00.000+0200}, author = {Schneider, Stefan and Igel, Christian and Klaes, Christian and Dinse, Hubert R. and Wiemer, Jan C.}, biburl = {https://www.bibsonomy.org/bibtex/2717f629f78b62869ccab41738d0c8ada/brazovayeye}, doi = {doi:10.1023/B:GENP.0000023689.70987.6a}, interhash = {6092be8e26ac0bc66087726c34fed452}, intrahash = {717f629f78b62869ccab41738d0c8ada}, issn = {1389-2576}, journal = {Genetic Programming and Evolvable Machines}, keywords = {computational dynamical evolution fields, neural neuroscience strategy, systems,}, month = {June}, notes = {Special Issue on Biological Applications of Genetic and Evolutionary Computation Guest Editor(s): Wolfgang Banzhaf , James Foster Lehrstuhl fur theoretische Biologie, Institut fur Neuroinformatik, Ruhr-Universitat Bochum, 44780 Bochum, Germany}, number = 2, pages = {215--227}, timestamp = {2008-06-19T17:51:09.000+0200}, title = {Evolutionary Adaptation of Nonlinear Dynamical Systems in Computational Neuroscience}, volume = 5, year = 2004 }