Liquid state machine built of Hodgkin-Huxley neurons-pattern recognition and informational entropy

Wiesław A. Kamiński, Grzegorz M. Wójcik

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:

PDF


DOI: 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 - 482
Downloads (from 2020-06-17) - PDF - 0

Indicators



Refbacks

  • There are currently no refbacks.


Copyright (c) 2015 Annales UMCS Sectio AI Informatica

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.