Construction of a Molecular Learning Network
Author(s) -
Tomohiro Shirakawa,
Hiroshi Satō
Publication year - 2013
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2013.p0913
Subject(s) - computer science , artificial intelligence , physarum , associative learning , machine learning , physarum polycephalum , biology , neuroscience , microbiology and biotechnology
Learning ability in unicellular organisms has been studied since the first half of the 20th century, but there is still no clear evidence of unicellular learning. Based on results from previous associative learning experiments using the Physarum plasmodium, a gene regulatory network model of unicellular learning was constructed. The model demonstrates that, in principle, unicellular learning can be achieved through the cooperation of several biomolecules.
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