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Faster Learning with Overlapping Neural Assemblies

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F06%3A00339960" target="_blank" >RIV/67985807:_____/06:00339960 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Faster Learning with Overlapping Neural Assemblies

  • Original language description

    Cell assemblies in neural network are often assumed as overlapping, i.e. a neuron may belong to several of them simultaneously. We argue that network structures with overlapping cell assemblies can exhibit faster learning comparing to non-overlapping ones. In such structures newly trained assemblies take advantage of their overlaps with the already trained neighbors. The assemblies learned in such manner nevertheless preserve the ability for subsequent separate firing. We discuss the implications it mayhave for intensification of neural network training methods and we also propose to view this learning speed-up in a broader context of inter-assembly cooperation useful for modeling concept formation in human thinking.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/1ET100300414" target="_blank" >1ET100300414: Intelligent methods for incresing of reliability of electrical networks</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2006

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Artificial Neural Networks ? ICANN 2006

  • ISBN

    3-540-38625-4

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

  • Publisher name

    Springer

  • Place of publication

    Berlin

  • Event location

    Athens

  • Event date

    Sep 10, 2006

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000241472100024