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    » Modeling spiking neural networks
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    NECO
    2007
    258views more  NECO 2007»
    Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity
    13 years 7 months ago
    Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity
    Download  www.coneural.org
    The persistent modification of synaptic efficacy as a function of the relative timing of pre- and postsynaptic spikes is a phenomenon known as spiketiming-dependent plasticity (...
    Razvan V. Florian
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    NECO
    2010
    120views more  NECO 2010»
    Supervised Learning in Spiking Neural Networks with ReSuMe: Sequence Learning, Classification, and Spike Shifting
    13 years 2 months ago
    Supervised Learning in Spiking Neural Networks with ReSuMe: Sequence Learning, Classification, and Spike Shifting
    Download  d1.cie.put.poznan.pl
    Filip Ponulak, Andrzej J. Kasinski
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    IJCNN
    2007
    IEEE
    155views Neural Networks» more  IJCNN 2007»
    Compact hardware for real-time speech recognition using a Liquid State Machine
    14 years 2 months ago
    Compact hardware for real-time speech recognition using a Liquid State Machine
    Download  escher.elis.ugent.be
    Abstract— Hardware implementations of Spiking Neural Networks are numerous because they are well suited for implementation in digital and analog hardware, and outperform classic ...
    Benjamin Schrauwen, Michiel D'Haene, David Verstra...
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    NC
    2007
    129views Neural Networks» more  NC 2007»
    Sorting of neural spikes: When wavelet based methods outperform principal component analysis
    13 years 7 months ago
    Sorting of neural spikes: When wavelet based methods outperform principal component analysis
    Download  chaos.ssu.runnet.ru
    Sorting of the extracellularly recorded spikes is a basic prerequisite for analysis of the cooperative neural behavior and neural code. Fundamentally the sorting performance is de...
    Alexey N. Pavlov, Valeri A. Makarov, Ioulia Makaro...
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    ISCAS
    2005
    IEEE
    117views Hardware» more  ISCAS 2005»
    A VLSI model of the bat dorsal nucleus of the lateral lemniscus for azimuthal echolocation
    14 years 1 months ago
    A VLSI model of the bat dorsal nucleus of the lateral lemniscus for azimuthal echolocation
    Download  www.isr.umd.edu
    — The dorsal nucleus of the lateral lemniscus (DNLL) is a distinct group of auditory cells that play a strategic role in azimuthal echolocation in the bat. Dominated by EI-type c...
    Rock Z. Shi, Timothy K. Horiuchi
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