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    ESANN
    2008
    150views Neural Networks» more  ESANN 2008»
    Conditional prediction of time series using spiral recurrent neural network
    13 years 9 months ago
    Conditional prediction of time series using spiral recurrent neural network
    Download  www.dice.ucl.ac.be
    Frequently, sequences of state transitions are triggered by specific signals. Learning these triggered sequences with recurrent neural networks implies storing them as different at...
    Huaien Gao, Rudolf Sollacher
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    IJON
    2006
    138views more  IJON 2006»
    Time-series prediction using a local linear wavelet neural network
    13 years 7 months ago
    Time-series prediction using a local linear wavelet neural network
    Download  cilab.ujn.edu.cn
    A local linear wavelet neural network (LLWNN) is presented in this paper. The difference of the network with conventional wavelet neural network (WNN) is that the connection weigh...
    Yuehui Chen, Bo Yang, Jiwen Dong
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    NIPS
    1990
    110views Information Technology» more  NIPS 1990»
    Learning to See Rotation and Dilation with a Hebb Rule
    13 years 8 months ago
    Learning to See Rotation and Dilation with a Hebb Rule
    Download  www.ucl.ac.uk
    Previous work (M.I. Sereno, 1989; cf. M.E. Sereno, 1987) showed that a feedforward network with area V1-like input-layer units and a Hebb rule can develop area MT-like second laye...
    Martin I. Sereno, Margaret E. Sereno
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    ESANN
    2006
    121views Neural Networks» more  ESANN 2006»
    Learning and discrimination through STDP in a top-down modulated associative memory
    13 years 9 months ago
    Learning and discrimination through STDP in a top-down modulated associative memory
    Download  www.dice.ucl.ac.be
    Abstract. This article underlines the learning and discrimination capabilities of a model of associative memory based on artificial networks of spiking neurons. Inspired from neuro...
    Anthony Mouraud, Hélène Paugam-Moisy
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    ISCAS
    2005
    IEEE
    154views Hardware» more  ISCAS 2005»
    Back propagation learning of neural networks with chaotically-selected affordable neurons
    14 years 1 months ago
    Back propagation learning of neural networks with chaotically-selected affordable neurons
    Download  nlab.ee.tokushima-u.ac.jp
    — Cell assembly is one of explanations of information processing in the brain, in which an information is represented by a firing space pattern of a group of plural neurons. On ...
    Yoko Uwate, Yoshifumi Nishio
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