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Initializing reservoirs with exhibitory and inhibitory signals using unsupervised learning techniques

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86089064" target="_blank" >RIV/61989100:27240/13:86089064 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/13:86089064

  • Result on the web

    <a href="http://dx.doi.org/10.1145/2542050.2542087" target="_blank" >http://dx.doi.org/10.1145/2542050.2542087</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/2542050.2542087" target="_blank" >10.1145/2542050.2542087</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Initializing reservoirs with exhibitory and inhibitory signals using unsupervised learning techniques

  • Original language description

    The trend of Reservoir Computing (RC) has been gaining prominence in the Neural Computation community since the 2000s. In a RC model there are at least two well-differentiated structures. One is a recurrent part called reservoir, which expands the inputdata and historical information into a high-dimensional space. This projection is carried out in order to enhance the linear separability of the input data. Another part is a memory-less structure designed to be robust and fast in the learning process. RC models are an alternative of Turing Machines and Recurrent Neural Networks to model cognitive processing in the neural system. Additionally, they are interesting Machine Learning tools to Time Series Modeling and Forecasting. Recently a new RC model was introduced under the name of Echo State Queueing Networks (ESQN). In this model the reservoir is a dynamical system which arises from the Queueing Theory. The initialization of the reservoir parameters may influence the model performanc

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/EE2.3.30.0055" target="_blank" >EE2.3.30.0055: New creative teams in priorities of scientific research</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    ACM International Conference Proceeding Series 2013

  • ISBN

    978-1-4503-2454-0

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    53-60

  • Publisher name

    ACM

  • Place of publication

    New York

  • Event location

    Da Nang

  • Event date

    Dec 5, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article