Hasil Pencarian - Karlheinz eMeier

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  1. 1
    Reward-based learning under hardware constraints - Using a RISC processor embedded in a neuromorphic substrate

    Reward-based learning under hardware constraints - Using a RISC processor embedded in a neuromorphic substrate oleh Simon eFriedmann, Nicolas eFrémaux, Johannes eSchemmel, Wulfram eGerstner, Karlheinz eMeier

    Diterbitkan 2013-09-01
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  2. 2
    Probabilistic Inference in Discrete Spaces Can Be Implemented into Networks of LIF Neurons

    Probabilistic Inference in Discrete Spaces Can Be Implemented into Networks of LIF Neurons oleh Dimitri eProbst, Mihai Alexandru Petrovici, Ilja eBytschok, Johannes eBill, Dejan ePecevski, Johannes eSchemmel, Karlheinz eMeier

    Diterbitkan 2015-02-01
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  3. 3
    Is a 4-bit synaptic weight resolution enough? - Constraints on enabling spike-timing dependent plasticity in neuromorphic hardware

    Is a 4-bit synaptic weight resolution enough? - Constraints on enabling spike-timing dependent plasticity in neuromorphic hardware oleh Thomas ePfeil, Tobias C Potjans, Tobias C Potjans, Sven eSchrader, Wiebke ePotjans, Wiebke ePotjans, Johannes eSchemmel, Markus eDiesmann, Markus eDiesmann, Markus eDiesmann, Karlheinz eMeier

    Diterbitkan 2012-07-01
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  4. 4
    Six networks on a universal neuromorphic computing substrate

    Six networks on a universal neuromorphic computing substrate oleh Thomas ePfeil, Andreas eGrübl, Sebastian eJeltsch, Eric eMüller, Paul eMüller, Mihai A. ePetrovici, Michael eSchmuker, Michael eSchmuker, Daniel eBrüderle, Johannes eSchemmel, Karlheinz eMeier

    Diterbitkan 2013-02-01
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