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    NECO
    2007
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    What Is the Optimal Architecture for Visual Information Routing?
    13 years 11 months ago
    What Is the Optimal Architecture for Visual Information Routing?
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    Philipp Wolfrum, Christoph von der Malsburg
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    NECO
    2007
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    Training Recurrent Networks by Evolino
    13 years 11 months ago
    Training Recurrent Networks by Evolino
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    In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
    Jürgen Schmidhuber, Daan Wierstra, Matteo Gag...
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    NECO
    2007
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    Optimality Model of Unsupervised Spike-Timing-Dependent Plasticity: Synaptic Memory and Weight Distribution
    13 years 11 months ago
    Optimality Model of Unsupervised Spike-Timing-Dependent Plasticity: Synaptic Memory and Weight Distribution
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    Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aiha...
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    NECO
    2007
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    Neighborhood Property-Based Pattern Selection for Support Vector Machines
    13 years 11 months ago
    Neighborhood Property-Based Pattern Selection for Support Vector Machines
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    Support Vector Machine (SVM) has been spotlighted in the machine learning community thanks to its theoretical soundness and practical performance. When applied to a large data set...
    Hyunjung Shin, Sungzoon Cho
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    NECO
    2007
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    The Astrocyte as a Gatekeeper of Synaptic Information Transfer
    13 years 11 months ago
    The Astrocyte as a Gatekeeper of Synaptic Information Transfer
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    Vladislav Volman, Eshel Ben-Jacob, Herbert Levine
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    NECO
    2007
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    Synergies Between Intrinsic and Synaptic Plasticity Mechanisms
    13 years 11 months ago
    Synergies Between Intrinsic and Synaptic Plasticity Mechanisms
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    Jochen Triesch
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    NECO
    2007
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    Reinforcement Learning State Estimator
    13 years 11 months ago
    Reinforcement Learning State Estimator
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    cal networks in the learning of abstract and effector-specific representations of motor sequences. Neuroimage. 32, 714-727. (Neuroimage Editor’s Choice Award, 2006) Daw, N. D. Do...
    Jun Morimoto, Kenji Doya
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    NECO
    2007
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    Nonparametric Modeling of Neural Point Processes via Stochastic Gradient Boosting Regression
    13 years 11 months ago
    Nonparametric Modeling of Neural Point Processes via Stochastic Gradient Boosting Regression
    Download  donoghue.neuro.brown.edu
    Wilson Truccolo, John P. Donoghue
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    NECO
    2007
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    Learning the Lie Groups of Visual Invariance
    13 years 11 months ago
    Learning the Lie Groups of Visual Invariance
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    Xu Miao, Rajesh P. N. Rao
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    NECO
    2007
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    Exact Subthreshold Integration with Continuous Spike Times in Discrete-Time Neural Network Simulations
    13 years 11 months ago
    Exact Subthreshold Integration with Continuous Spike Times in Discrete-Time Neural Network Simulations
    Download  material.bccn.uni-freiburg.de
    Abigail Morrison, Sirko Straube, Hans Ekkehard Ple...
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