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    ESANN
    2008
    143views Neural Networks» more  ESANN 2008»
    An FPGA-based model suitable for evolution and development of spiking neural networks
    13 years 5 months ago
    An FPGA-based model suitable for evolution and development of spiking neural networks
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    We propose a digital neuron model suitable for evolving and growing heterogeneous spiking neural networks on FPGAs using a piecewise linear approximation of the Quadratic Integrate...
    Hooman Shayani, Peter J. Bentley, Andrew M. Tyrrel...
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    ESANN
    2008
    129views Neural Networks» more  ESANN 2008»
    Pruning and Regularisation in Reservoir Computing: a First Insight
    13 years 5 months ago
    Pruning and Regularisation in Reservoir Computing: a First Insight
    Download  www.dice.ucl.ac.be
    Reservoir Computing is a new paradigm for using Recurrent Neural Networks which shows promising results. However, as the recurrent part is created randomly, it typically needs to b...
    Xavier Dutoit, Benjamin Schrauwen, Jan M. Van Camp...
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    ESANN
    2008
    112views Neural Networks» more  ESANN 2008»
    Visual focus with spiking neurons
    13 years 5 months ago
    Visual focus with spiking neurons
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    Attentional focusing can be implemented with a neural field [1], which uses a discharge rate code. As an alternative, we propose in the present work an implementation based on spik...
    Sylvain Chevallier, Philippe Tarroux
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    ESANN
    2008
    125views Neural Networks» more  ESANN 2008»
    Parallel asynchronous neighborhood mechanism for WTM Kohonen network implemented in CMOS technology
    13 years 5 months ago
    Parallel asynchronous neighborhood mechanism for WTM Kohonen network implemented in CMOS technology
    Download  www.dice.ucl.ac.be
    In this paper we present an original neighborhood mechanism for WTM self-organizing Kohonen map implemented in CMOS 0.18 m process. Proposed mechanism is an asynchronous circuit an...
    Marta Kolasa, Rafal Dlugosz
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    ESANN
    2008
    174views Neural Networks» more  ESANN 2008»
    A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis
    13 years 5 months ago
    A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis
    Download  www.dice.ucl.ac.be
    The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
    Bertha Guijarro-Berdiñas, Oscar Fontenla-Ro...
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    ESANN
    2008
    107views Neural Networks» more  ESANN 2008»
    A novel autoassociative memory on the complex hypercubic lattice
    13 years 5 months ago
    A novel autoassociative memory on the complex hypercubic lattice
    Download  www.dice.ucl.ac.be
    In this paper we have defined a novel activation function called the multi-level signum for the real and complex valued associative memories. The major motivation of such a functio...
    Rama Murthy Garimella, Praveen Dasigi
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    ESANN
    2008
    135views Neural Networks» more  ESANN 2008»
    Learning Inverse Dynamics: a Comparison
    13 years 5 months ago
    Learning Inverse Dynamics: a Comparison
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    While it is well-known that model can enhance the control performance in terms of precision or energy efficiency, the practical application has often been limited by the complexiti...
    Duy Nguyen-Tuong, Jan Peters, Matthias Seeger, Ber...
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    ESANN
    2008
    113views Neural Networks» more  ESANN 2008»
    Discrimination of regulatory DNA by SVM on the basis of over- and under-represented motifs
    13 years 5 months ago
    Discrimination of regulatory DNA by SVM on the basis of over- and under-represented motifs
    Download  www.dice.ucl.ac.be
    In this paper we apply three pattern recognition methods (support vector machine, cluster analysis and principal component analysis) to distinguish regulatory regions from coding a...
    Rene te Boekhorst, Irina I. Abnizova, Lorenz Werni...
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    ESANN
    2008
    110views Neural Networks» more  ESANN 2008»
    Direct and inverse solution for a stimulus adaptation problem using SVR
    13 years 5 months ago
    Direct and inverse solution for a stimulus adaptation problem using SVR
    Download  www.dice.ucl.ac.be
    Adapting stimuli to stabilize neural responses is an important problem in the context of cortical prostheses. This paper describes two approaches for stimulus adaptation using supp...
    Dominik Brugger, Sergejus Butovas, Martin Bogdan, ...
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    ESANN
    2008
    125views Neural Networks» more  ESANN 2008»
    Automatic alignment of medical vs. general terminologies
    13 years 5 months ago
    Automatic alignment of medical vs. general terminologies
    Download  www.dice.ucl.ac.be
    We propose an original automatic alignment of definitions taken from different dictionaries that could be associated to the same concept although they may have different labels. Th...
    Laura Diosan, Alexandrina Rogozan, Jean-Pierre P&e...
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