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    ICANN
    2005
    Springer
    170views Neural Networks» more  ICANN 2005»
    Image Segmentation by Complex-Valued Units
    14 years 1 months ago
    Image Segmentation by Complex-Valued Units
    Download  th.physik.uni-frankfurt.de
    Spike synchronisation and de-synchronisation are important for feature binding and separation at various levels in the visual system. We present a model of complex valued neuron ac...
    Cornelius Weber, Stefan Wermter
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    NECO
    2010
    147views more  NECO 2010»
    Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons
    13 years 6 months ago
    Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons
    Download  www.igi.tugraz.at
    Abstract: Reservoir Computing (RC) systems are powerful models for online computations on input sequences. They consist of a memoryless readout neuron which is trained on top of a ...
    Lars Büsing, Benjamin Schrauwen, Robert A. Le...
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    IJON
    2006
    100views more  IJON 2006»
    Analyzing the robustness of redundant population codes in sensory and feature extraction systems
    13 years 7 months ago
    Analyzing the robustness of redundant population codes in sensory and feature extraction systems
    Download  users.ece.gatech.edu
    Sensory systems often use groups of redundant neurons to represent stimulus information both during transduction and population coding of features. This redundancy makes the syste...
    Christopher J. Rozell, Don H. Johnson
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    IWCMC
    2006
    ACM
    113views Computer Networks» more  IWCMC 2006»
    Security aspects of inter-satellite links using neural networks
    14 years 1 months ago
    Security aspects of inter-satellite links using neural networks
    Download  web.mit.edu
    This paper presents a neural network model for routing in the space segment of a Satellite Personal Communication System. At first, a proper energy function is constructed from th...
    Peter P. Stavroulakis, Ioannis Dimou, Harilaos G. ...
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    NIPS
    2008
    148views Information Technology» more  NIPS 2008»
    On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
    13 years 9 months ago
    On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
    Download  www.igi.tugraz.at
    Randomly connected recurrent neural circuits have proven to be very powerful models for online computations when a trained memoryless readout function is appended. Such Reservoir ...
    Benjamin Schrauwen, Lars Buesing, Robert A. Legens...
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