Spatiotemporal Pattern Recognition via Liquid State Machines

Eric Goodman, Dan Ventura

The 2006 IEEE International Joint Conference on Neural Network Proceedings · 2006 · 52 citations · 18 references

Concepts

Abstract

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.

References

18