Neuroscience-Inspired Dynamic Architectures

@inproceedings{Schuman2016NeuroscienceInspiredDA,
  title={Neuroscience-Inspired Dynamic Architectures},
  author={Catherine D. Schuman and J. Douglas Birdwell},
  year={2016}
}
Neuroscience-inspired computational elements and architectures are one of the most popular ideas for replacing the von Neumann architecture. In this work, we propose a neuroscience-inspired dynamic architecture (NIDA) and discuss a method for automatically designing NIDA networks to accomplish tasks. We discuss the reasons we chose evolutionary optimization… CONTINUE READING

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