Optimization of Neural Field Models

@inproceedings{Jancke2000OptimizationON,
  title={Optimization of Neural Field Models},
  author={Christian Igel Wolfram Erlhagen Dirk Jancke},
  year={2000}
}
There is a growing interest in using dynamic neural fields for modeling biological and technical systems, but constructive ways to set up such models are still missing. We discuss gradient-based, evolutionary and hybrid algorithms for data-driven adaptation of neural field parameters. The proposed methods are evaluated using artificial and neurophysiological data. 

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