<?xml version="1.0" encoding="utf-8"?>
<TEI xmlns="http://www.tei-c.org/ns/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:hal="http://hal.archives-ouvertes.fr/" xmlns:gml="http://www.opengis.net/gml/3.3/" xmlns:gmlce="http://www.opengis.net/gml/3.3/ce" version="1.1" xsi:schemaLocation="http://www.tei-c.org/ns/1.0 http://api.archives-ouvertes.fr/documents/aofr-sword.xsd">
  <teiHeader>
    <fileDesc>
      <titleStmt>
        <title>HAL TEI export of hal-03650339v2</title>
      </titleStmt>
      <publicationStmt>
        <distributor>CCSD</distributor>
        <availability status="restricted">
          <licence target="https://creativecommons.org/publicdomain/zero/1.0/">CC0 1.0 - Universal</licence>
        </availability>
        <date when="2026-05-24T12:57:55+02:00"/>
      </publicationStmt>
      <sourceDesc>
        <p part="N">HAL API Platform</p>
      </sourceDesc>
    </fileDesc>
  </teiHeader>
  <text>
    <body>
      <listBibl>
        <biblFull>
          <titleStmt>
            <title xml:lang="en">Cooperative Phenomenon: Statistical Physics Origins of Connectionist Learning</title>
            <author role="aut">
              <persName>
                <forename type="first">Mehmet</forename>
                <surname>Süzen</surname>
              </persName>
              <email type="md5">4b9d1ac6bd28925d3fae536b3cdb2a54</email>
              <email type="domain">gmail.com</email>
              <idno type="idhal" notation="string">msuzency</idno>
              <idno type="idhal" notation="numeric">1133590</idno>
              <idno type="halauthorid" notation="string">2359385-1133590</idno>
              <idno type="RESEARCHERID">http://www.researcherid.com/rid/C-9982-2009</idno>
              <idno type="GOOGLE SCHOLAR">cUt21NIAAAAJ</idno>
              <idno type="ORCID">https://orcid.org/0000-0002-9460-7297</idno>
              <affiliation ref="#struct-439486"/>
            </author>
            <editor role="depositor">
              <persName>
                <forename>Mehmet</forename>
                <surname>Süzen</surname>
              </persName>
              <email type="md5">4b9d1ac6bd28925d3fae536b3cdb2a54</email>
              <email type="domain">gmail.com</email>
            </editor>
          </titleStmt>
          <editionStmt>
            <edition n="v1">
              <date type="whenSubmitted">2022-04-25 00:22:06</date>
            </edition>
            <edition n="v2" type="current">
              <date type="whenSubmitted">2022-05-01 01:02:37</date>
              <date type="whenModified">2022-05-03 10:52:56</date>
              <date type="whenReleased">2022-05-03 10:52:37</date>
              <date type="whenProduced">2022-05-01</date>
              <date type="whenEndEmbargoed">2022-05-01</date>
              <ref type="file" target="https://hal.science/hal-03650339v2/document">
                <date notBefore="2022-05-01"/>
              </ref>
              <ref type="file" subtype="author" n="1" target="https://hal.science/hal-03650339v2/file/suezen22a.pdf" id="file-3656080-3192233">
                <date notBefore="2022-05-01"/>
              </ref>
            </edition>
            <respStmt>
              <resp>contributor</resp>
              <name key="1107438">
                <persName>
                  <forename>Mehmet</forename>
                  <surname>Süzen</surname>
                </persName>
                <email type="md5">4b9d1ac6bd28925d3fae536b3cdb2a54</email>
                <email type="domain">gmail.com</email>
              </name>
            </respStmt>
          </editionStmt>
          <publicationStmt>
            <distributor>CCSD</distributor>
            <idno type="halId">hal-03650339</idno>
            <idno type="halUri">https://hal.science/hal-03650339</idno>
            <idno type="halBibtex">suzen:hal-03650339</idno>
            <idno type="halRefHtml">2022</idno>
            <idno type="halRef">2022</idno>
            <availability status="restricted">
              <licence target="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0 - Attribution<ref corresp="#file-3656080-3192233"/></licence>
            </availability>
          </publicationStmt>
          <seriesStmt/>
          <notesStmt/>
          <sourceDesc>
            <biblStruct>
              <analytic>
                <title xml:lang="en">Cooperative Phenomenon: Statistical Physics Origins of Connectionist Learning</title>
                <author role="aut">
                  <persName>
                    <forename type="first">Mehmet</forename>
                    <surname>Süzen</surname>
                  </persName>
                  <email type="md5">4b9d1ac6bd28925d3fae536b3cdb2a54</email>
                  <email type="domain">gmail.com</email>
                  <idno type="idhal" notation="string">msuzency</idno>
                  <idno type="idhal" notation="numeric">1133590</idno>
                  <idno type="halauthorid" notation="string">2359385-1133590</idno>
                  <idno type="RESEARCHERID">http://www.researcherid.com/rid/C-9982-2009</idno>
                  <idno type="GOOGLE SCHOLAR">cUt21NIAAAAJ</idno>
                  <idno type="ORCID">https://orcid.org/0000-0002-9460-7297</idno>
                  <affiliation ref="#struct-439486"/>
                </author>
              </analytic>
              <monogr>
                <imprint/>
              </monogr>
            </biblStruct>
          </sourceDesc>
          <profileDesc>
            <langUsage>
              <language ident="en">English</language>
            </langUsage>
            <textClass>
              <keywords scheme="author">
                <term xml:lang="en">Lenz-Ising Architectures</term>
                <term xml:lang="en">Statistics of Cooperative Phenomenon</term>
                <term xml:lang="en">Learning</term>
                <term xml:lang="en">Dynamics</term>
                <term xml:lang="en">Lattice Models</term>
                <term xml:lang="en">Spin-glasses</term>
                <term xml:lang="en">Neurophysiology</term>
                <term xml:lang="en">Statistical Physics</term>
                <term xml:lang="en">Neural Networks</term>
              </keywords>
              <classCode scheme="halDomain" n="phys.cond.cm-sm">Physics [physics]/Condensed Matter [cond-mat]/Statistical Mechanics [cond-mat.stat-mech]</classCode>
              <classCode scheme="halTypology" n="UNDEFINED">Preprints, Working Papers, ...</classCode>
              <classCode scheme="halOldTypology" n="UNDEFINED">Preprints, Working Papers, ...</classCode>
              <classCode scheme="halTreeTypology" n="UNDEFINED">Preprints, Working Papers, ...</classCode>
            </textClass>
            <abstract xml:lang="en">
              <p>A short account of origins of mathematical formalism of neural networks is presented for physicists and computer scientist in basic discrete mathematical setting informally. The discourse of the development of mathematical formalism on the dynamics of lattice models in statistical physics and learning internal representations of neural networks as discrete architectures as quantitative tools evolve in two almost distinct fields more than half a century with limited overlap. We aim at bridging the gap by claiming that the analogy between two approaches are not artificial but naturally occuring due to how modelling cooperative phenomenon is constructed. We define the Lenz-Ising architectures (ILAs) for this purpose.</p>
            </abstract>
          </profileDesc>
        </biblFull>
      </listBibl>
    </body>
    <back>
      <listOrg type="structures">
        <org type="laboratory" xml:id="struct-439486" status="INCOMING">
          <orgName>American Physical Society</orgName>
          <desc>
            <address>
              <country key="US"/>
            </address>
          </desc>
          <listRelation>
            <relation active="#struct-439485" type="direct"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-439485" status="INCOMING">
          <orgName>Research Road, Ridge</orgName>
          <desc>
            <address>
              <country key="US"/>
            </address>
          </desc>
        </org>
      </listOrg>
    </back>
  </text>
</TEI>