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    NECO
    2007
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    What Is the Optimal Architecture for Visual Information Routing?
    13 years 4 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 4 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 4 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 4 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 4 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 4 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 4 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 4 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 4 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 4 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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