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    » On the use of spiking neural network for EEG classification
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    GECCO
    2009
    Springer
    188views Optimization» more  GECCO 2009»
    Classification of EEG signals using relative wavelet energy and artificial neural networks
    13 years 11 months ago
    Classification of EEG signals using relative wavelet energy and artificial neural networks
    Download  sabia.tic.udc.es
    Ling Guo, Daniel Rivero, Jose A. Seoane, Alejandro...
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    ENGL
    2006
    99views more  ENGL 2006»
    A Patient Specific Neural Networks (MLP) for Optimization of Fuzzy Outputs in Classification of Epilepsy Risk Levels from EEG Si
    13 years 7 months ago
    A Patient Specific Neural Networks (MLP) for Optimization of Fuzzy Outputs in Classification of Epilepsy Risk Levels from EEG Si
    Download  www.engineeringletters.com
    In recent years Neural Networks have been widely used as pattern and statistical classifiers in bio medical engineering. Most research to date using hybrid systems (Fuzzy-Neuro) fo...
    R. Sukanesh, R. Harikumar
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    ASC
    2006
    89views Artificial Intelligence» more  ASC 2006»
    Supervised neuronal approaches for EEG signal classification: Experimental studies
    13 years 8 months ago
    Supervised neuronal approaches for EEG signal classification: Experimental studies
    Download  hal.inria.fr
    Using artificial neural networks for Electroencephalogram (EEG) signal interpretation is a very challenging tasks for several reasons. The first class of reasons refers to the nat...
    Frédéric Alexandre, Kerkeni Nizar, K...
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    IJON
    2007
    120views more  IJON 2007»
    Comparison of dynamical states of random networks with human EEG
    13 years 7 months ago
    Comparison of dynamical states of random networks with human EEG
    Download  material.brainworks.uni-freiburg.de
    Existing models of EEG have mainly focused on relations to network dynamics characterized by firing rates [L. de Arcangelis, H.J. Herrmann, C. Perrone-Capano, Activity-dependent ...
    Ralph Meier, Arvind Kumar, Andreas Schulze-Bonhage...
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    IJCSS
    2007
    122views more  IJCSS 2007»
    Artificial Neural Network Type Learning with Single Multiplicative Spiking Neuron
    13 years 7 months ago
    Artificial Neural Network Type Learning with Single Multiplicative Spiking Neuron
    Download  www.fullcycles.org
    In this paper, learning algorithm for a single multiplicative spiking neuron (MSN) is proposed and tested for various applications where a multilayer perceptron (MLP) neural netwo...
    Deepak Mishra, Abhishek Yadav, Sudipta Ray, Prem K...
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