Spatiotemporal Pattern Recognition via Liquid State Machines

@article{Goodman2006SpatiotemporalPR,
  title={Spatiotemporal Pattern Recognition via Liquid State Machines},
  author={Eric Goodman and Dan Ventura},
  journal={The 2006 IEEE International Joint Conference on Neural Network Proceedings},
  year={2006},
  pages={3848-3853}
}
The applicability of complex networks of spiking neurons as a general purpose machine learning technique remains open. Building on previous work using macroscopic exploration of the parameter space of an (artificial) neural microcircuit, we investigate the possibility of using a liquid state machine to solve two real-world problems: stockpile surveillance signal alignment and spoken phoneme recognition. 
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