Liquid state machine built of Hodgkin-Huxley neurons-pattern recognition and informational entropy
Abstract
Neural networks built of Hodgkin-Huxley neurons are examined. Such structures behave like Liquid State Machines. They can effectively process geometrical patterns shown to artificial retina into precisely defined output. The analysis of output responses is performed in two ways: by means of Artificial Neural Network and by calculating informational entropy.
Full Text:
PDFDOI: http://dx.doi.org/10.17951/ai.2003.1.1.1-7
Date of publication: 2015-01-04 00:00:00
Date of submission: 2016-04-27 10:10:07
Statistics
Total abstract view - 472
Downloads (from 2020-06-17) - PDF - 0
Indicators
Refbacks
- There are currently no refbacks.
Copyright (c) 2015 Annales UMCS Sectio AI Informatica
This work is licensed under a Creative Commons Attribution 4.0 International License.