Liquid state machine built of Hodgkin–Huxley neurons and pattern recognition

Neural networks built of Hodgkin–Huxley neurons were examined. The structure and behavior of these nets was intended to be similar to liquid state machines. They could effectively process different input signals (i.e. geometrical patterns shown to artificial eye). The analysis of output responses wa...

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Published in:Neurocomputing (Amsterdam) 2004-06, Vol.58, p.245-251
Main Authors: Wojcik, Grzegorz M., Kaminski, Wieslaw A.
Format: Article
Language:English
Subjects:
Informational entropy
LSM
Pattern recognition
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cited_by cdi_FETCH-LOGICAL-c368t-dc162b6842cd5d324fbc8f0fb6c9688e9dfac1d751c54bf223dcb9d0878e62143
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description Neural networks built of Hodgkin–Huxley neurons were examined. The structure and behavior of these nets was intended to be similar to liquid state machines. They could effectively process different input signals (i.e. geometrical patterns shown to artificial eye). The analysis of output responses was performed in two ways: by means of artificial neural network and by calculating informational entropy.
doi_str_mv 10.1016/j.neucom.2004.01.051
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subjects Informational entropy
LSM
Pattern recognition
title Liquid state machine built of Hodgkin–Huxley neurons and pattern recognition
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