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    ESANN
    2000
    175views Neural Networks» more  ESANN 2000»
    Analytical comparison of the Temporal Kohonen Map and the Recurrent Self Organizing Map
    13 years 9 months ago
    Analytical comparison of the Temporal Kohonen Map and the Recurrent Self Organizing Map
    Download  www.dice.ucl.ac.be
    The basic SOM is indi erent to the ordering of the input patterns. Real data, however, is often sequential in nature thus context of a pattern may signi cantly in uence its correc...
    Markus Varsta, Jukka Heikkonen, Jouko Lampinen
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    ESANN
    2006
    110views Neural Networks» more  ESANN 2006»
    Cultures of dissociated neurons display a variety of avalanche behaviours
    13 years 9 months ago
    Cultures of dissociated neurons display a variety of avalanche behaviours
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    Avalanche dynamics has been described in organotypic cultures and acute slices from rat cortex. Its distinctive feature is a statistical distribution of avalanche size and duration...
    Roberta Alessio, Laura Cozzi, Vittorio Sanguineti
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    ESANN
    2000
    402views Neural Networks» more  ESANN 2000»
    SpikeProp: backpropagation for networks of spiking neurons
    13 years 9 months ago
    SpikeProp: backpropagation for networks of spiking neurons
    Download  homepages.cwi.nl
    Abstract. For a network of spiking neurons with reasonable postsynaptic potentials, we derive a supervised learning rule akin to traditional error-back-propagation, SpikeProp and s...
    Sander M. Bohte, Joost N. Kok, Johannes A. La Pout...
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    ESANN
    2003
    99views Neural Networks» more  ESANN 2003»
    A new rule extraction algorithm based on interval arithmetic
    13 years 9 months ago
    A new rule extraction algorithm based on interval arithmetic
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    In this paper we propose a new algorithm for rule extraction from a trained Multilayer Feedforward network. The algorithm is based on an interval arithmetic network inversion for p...
    Carlos Hernández-Espinosa, Mercedes Fern&aa...
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    ESANN
    2003
    109views Neural Networks» more  ESANN 2003»
    Self-organizing maps and functional networks for local dynamic modeling
    13 years 9 months ago
    Self-organizing maps and functional networks for local dynamic modeling
    Download  www.dice.ucl.ac.be
    The paper presents a method for times series prediction using a local dynamic modeling based on a three step process. In the first step the input data is embedded in a reconstruct...
    Noelia Sánchez-Maroño, Oscar Fontenl...
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