Spatiotemporal Pattern Recognition via Liquid State Machines

— 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.

• Type: Conference
• Year: 2006
• Where: IJCNN
• Authors: Eric Goodman, Dan Ventura
• Keywords: IJCNN 2006, Machine Learning Technique, Spoken Phoneme Recognition, Surveillance Signal Alignment