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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.0 20120330//EN" "JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article"><front><journal-meta><journal-id journal-id-type="publisher-id">INFORMATICA</journal-id><journal-title-group><journal-title>Informatica</journal-title></journal-title-group><issn pub-type="epub">0868-4952</issn><issn pub-type="ppub">0868-4952</issn><publisher><publisher-name>VU</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">inf18203</article-id><article-id pub-id-type="doi">10.15388/Informatica.2007.172</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research article</subject></subj-group></article-categories><title-group><article-title>Information Conveyed by the Neural Network Systems and its Applied Significance</article-title></title-group><contrib-group><contrib contrib-type="Author"><name><surname>Garliauskas</surname><given-names>Algis</given-names></name><email xlink:href="mailto:galgis_1@ktl.mii.lt">galgis_1@ktl.mii.lt</email><xref ref-type="aff" rid="j_INFORMATICA_aff_000"/></contrib><aff id="j_INFORMATICA_aff_000">Institute of Mathematics and Informatics, Akademijos 4, 08663 Vilnius, Lithuania</aff></contrib-group><pub-date pub-type="epub"><day>01</day><month>01</month><year>2007</year></pub-date><volume>18</volume><issue>2</issue><fpage>203</fpage><lpage>216</lpage><history><date date-type="received"><day>01</day><month>01</month><year>2007</year></date></history><abstract><p>
In this paper, the information theory interpreted as the neural network systems of the brain is considered for information conveying and storing. Using the probability theory and specific properties of the neural systems, some foundations are presented. The neural network model proposed and computational experiments allow us to draw a conclusion that such an approach can be applied in storing, coding, and transmission of information.
</p></abstract><kwd-group><label>Keywords</label><kwd>information retrieval</kwd><kwd>probability theory</kwd><kwd>neural networks</kwd><kwd>conveying information</kwd></kwd-group></article-meta></front></article>