Guided self-organization in indirectly encoded and evolving topographic maps

@article{Risi2014GuidedSI,
  title={Guided self-organization in indirectly encoded and evolving topographic maps},
  author={Sebastian Risi and Kenneth O. Stanley},
  journal={Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation},
  year={2014}
}
  • S. RisiKenneth O. Stanley
  • Published 12 July 2014
  • Computer Science
  • Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation
An important phenomenon seen in many areas of biological brains and recently in deep learning architectures is a process known as self-organization. For example, in the primary visual cortex, color and orientation maps develop based on lateral inhibitory connectivity patterns and Hebbian learning dynamics. These topographic maps, which are found in all sensory systems, are thought to be a key factor in enabling abstract cognitive representations. This paper shows for the first time that the… 

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