检索结果 - David Kappel

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  1. 1
    STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning

    STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning 由 David Kappel, Bernhard Nessler, Wolfgang Maass

    出版 2014
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  2. 2
    Network Plasticity as Bayesian Inference

    Network Plasticity as Bayesian Inference 由 David Kappel, Stefan Habenschuss, Robert Legenstein, Wolfgang Maass

    出版 2015
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  3. 3
    A Dynamic Connectome Supports the Emergence of Stable Computational Function of Neural Circuits through Reward-Based Learning

    A Dynamic Connectome Supports the Emergence of Stable Computational Function of Neural Circuits through Reward-Based Learning 由 David Kappel, Robert Legenstein, Stefan Habenschuss, Michael Hsieh, Wolfgang Maass

    出版 2018
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  4. 4
    CoBeL-RL: A neuroscience-oriented simulation framework for complex behavior and learning

    CoBeL-RL: A neuroscience-oriented simulation framework for complex behavior and learning 由 Nicolas Diekmann, Sandhiya Vijayabaskaran, Xiangshuai Zeng, David Kappel, Matheus Chaves Menezes, Sen Cheng

    出版 2022
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  5. 5
    CoBeL-RL: A neuroscience-oriented simulation framework for complex behavior and learning

    CoBeL-RL: A neuroscience-oriented simulation framework for complex behavior and learning 由 Nicolas Diekmann, Sandhiya Vijayabaskaran, Xiangshuai Zeng, David Kappel, Matheus Chaves Menezes, Sen Cheng

    出版 2023
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