A neural model of the dynamic activation of memory
Identifieur interne : 000807 ( Main/Exploration ); précédent : 000806; suivant : 000808A neural model of the dynamic activation of memory
Auteurs : M. Herrmann [Allemagne] ; E. Ruppin [Israël] ; M. Usher [États-Unis]Source :
- Biological Cybernetics [ 0340-1200 ] ; 1993-03-01.
Abstract
Abstract: We study an Attractor Neural Network that stores natural concepts, organized in semantic classes. The concepts are represented by distributed patterns over a space of attributes, and are related by both semantic and episodic associations. While semantic relations are expressed through an hierarchical coding over the attribute space, episodic links are realized via specific synaptic projections. Due to dynamic thresholds expressing neuronal fatigue, the network's behavior is characterized by convergence toward the concept patterns on a short time scale, and by transitions between the various patterns on a longer time scale. In its baseline, undamaged state, the network manifests semantic, episodic, and random transitions, and demonstrates the phenomen of priming. Modeling possible pathological changes, we have found that increasing the ‘noise’ level or the rate of neuronal fatigue decreases the frequency of semantic transitions. When neurons characterized by large synaptic connectivity are deleted, semantic transitions decay before the episodic ones, in accordance with the findings in patients with Alzheimer's disease.
Url:
DOI: 10.1007/BF00198778
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">A neural model of the dynamic activation of memory</title><author><name sortKey="Herrmann, M" sort="Herrmann, M" uniqKey="Herrmann M" first="M." last="Herrmann">M. Herrmann</name></author><author><name sortKey="Ruppin, E" sort="Ruppin, E" uniqKey="Ruppin E" first="E." last="Ruppin">E. Ruppin</name></author><author><name sortKey="Usher, M" sort="Usher, M" uniqKey="Usher M" first="M." last="Usher">M. Usher</name></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:4B23F6A28C0E402952AE1EFAA506657567537CFA</idno><date when="1993" year="1993">1993</date><idno type="doi">10.1007/BF00198778</idno><idno type="url">https://api.istex.fr/document/4B23F6A28C0E402952AE1EFAA506657567537CFA/fulltext/pdf</idno><idno type="wicri:Area/Main/Corpus">000671</idno><idno type="wicri:Area/Main/Curation">000671</idno><idno type="wicri:Area/Main/Exploration">000807</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Exploration">000807</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">A neural model of the dynamic activation of memory</title><author><name sortKey="Herrmann, M" sort="Herrmann, M" uniqKey="Herrmann M" first="M." last="Herrmann">M. Herrmann</name><affiliation wicri:level="1"><country xml:lang="fr">Allemagne</country><wicri:regionArea>Abteilung für Computerwissenschaft der Universität Leipzig, O-7010, Leipzig</wicri:regionArea><wicri:noRegion>Leipzig</wicri:noRegion><wicri:noRegion>Leipzig</wicri:noRegion></affiliation></author><author><name sortKey="Ruppin, E" sort="Ruppin, E" uniqKey="Ruppin E" first="E." last="Ruppin">E. Ruppin</name><affiliation wicri:level="1"><country xml:lang="fr">Israël</country><wicri:regionArea>Department of Computer Science, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, 69978, Tel Aviv</wicri:regionArea><wicri:noRegion>Tel Aviv</wicri:noRegion></affiliation></author><author><name sortKey="Usher, M" sort="Usher, M" uniqKey="Usher M" first="M." last="Usher">M. Usher</name><affiliation wicri:level="1"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Division of Biology 216-76, Computation and Neutral Systems, CA91125, Caltech, Pasadena</wicri:regionArea><wicri:noRegion>Pasadena</wicri:noRegion></affiliation></author></analytic><monogr></monogr><series><title level="j">Biological Cybernetics</title><title level="j" type="abbrev">Biol. Cybern.</title><idno type="ISSN">0340-1200</idno><idno type="eISSN">1432-0770</idno><imprint><publisher>Springer-Verlag</publisher><pubPlace>Berlin/Heidelberg</pubPlace><date type="published" when="1993-03-01">1993-03-01</date><biblScope unit="volume">68</biblScope><biblScope unit="issue">5</biblScope><biblScope unit="page" from="455">455</biblScope><biblScope unit="page" to="463">463</biblScope></imprint><idno type="ISSN">0340-1200</idno></series><idno type="istex">4B23F6A28C0E402952AE1EFAA506657567537CFA</idno><idno type="DOI">10.1007/BF00198778</idno><idno type="ArticleID">BF00198778</idno><idno type="ArticleID">Art8</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0340-1200</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: We study an Attractor Neural Network that stores natural concepts, organized in semantic classes. The concepts are represented by distributed patterns over a space of attributes, and are related by both semantic and episodic associations. While semantic relations are expressed through an hierarchical coding over the attribute space, episodic links are realized via specific synaptic projections. Due to dynamic thresholds expressing neuronal fatigue, the network's behavior is characterized by convergence toward the concept patterns on a short time scale, and by transitions between the various patterns on a longer time scale. In its baseline, undamaged state, the network manifests semantic, episodic, and random transitions, and demonstrates the phenomen of priming. Modeling possible pathological changes, we have found that increasing the ‘noise’ level or the rate of neuronal fatigue decreases the frequency of semantic transitions. When neurons characterized by large synaptic connectivity are deleted, semantic transitions decay before the episodic ones, in accordance with the findings in patients with Alzheimer's disease.</div></front></TEI><affiliations><list><country><li>Allemagne</li><li>Israël</li><li>États-Unis</li></country></list><tree><country name="Allemagne"><noRegion><name sortKey="Herrmann, M" sort="Herrmann, M" uniqKey="Herrmann M" first="M." last="Herrmann">M. Herrmann</name></noRegion></country><country name="Israël"><noRegion><name sortKey="Ruppin, E" sort="Ruppin, E" uniqKey="Ruppin E" first="E." last="Ruppin">E. Ruppin</name></noRegion></country><country name="États-Unis"><noRegion><name sortKey="Usher, M" sort="Usher, M" uniqKey="Usher M" first="M." last="Usher">M. Usher</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Amerique/explor/CaltechV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000807 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000807 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Amerique
|area= CaltechV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= ISTEX:4B23F6A28C0E402952AE1EFAA506657567537CFA
|texte= A neural model of the dynamic activation of memory
}}
| This area was generated with Dilib version V0.6.32. |  |