Topological constraints and robustness in liquid state machines

@article{Hazan2012TopologicalCA,
  title={Topological constraints and robustness in liquid state machines},
  author={Hananel Hazan and L. Manevitz},
  journal={Expert Syst. Appl.},
  year={2012},
  volume={39},
  pages={1597-1606}
}
The Liquid State Machine (LSM) is a method of computing with temporal neurons, which can be used amongst other things for classifying intrinsically temporal data directly unlike standard artificial neural networks. It has also been put forward as a natural model of certain kinds of brain functions. There are two results in this paper: (1) We show that the Liquid State Machines as normally defined cannot serve as a natural model for brain function. This is because they are very vulnerable to… Expand
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