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    » On Similarity Measures for Spike Trains
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    ICONIP
    2008
    74views Information Technology» more  ICONIP 2008»
    On Similarity Measures for Spike Trains
    13 years 6 months ago
    On Similarity Measures for Spike Trains
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    A variety of (dis)similarity measures for one-dimensional point processes (e.g., spike trains) are investigated, including the Victor-Purpura distance metric, the van Rossum distan...
    Justin Dauwels, François B. Vialatte, Theop...
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    NIPS
    2004
    127views Information Technology» more  NIPS 2004»
    Maximising Sensitivity in a Spiking Network
    13 years 6 months ago
    Maximising Sensitivity in a Spiking Network
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    We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
    Anthony J. Bell, Lucas C. Parra
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    ICASSP
    2008
    IEEE
    92views Signal Processing» more  ICASSP 2008»
    Reproducing kernel Hilbert spaces for spike train analysis
    13 years 12 months ago
    Reproducing kernel Hilbert spaces for spike train analysis
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    This paper introduces a generalized cross-correlation (GCC) measure for spike train analysis derived from reproducing kernel Hilbert spaces (RKHS) theory. An estimator for GCC is ...
    António R. C. Paiva, Il Park, Jose C. Princ...
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    NECO
    2006
    86views more  NECO 2006»
    A Comparison of Descriptive Models of a Single Spike Train by Information-Geometric Measure
    13 years 5 months ago
    A Comparison of Descriptive Models of a Single Spike Train by Information-Geometric Measure
    Download  www.brain.riken.jp
    Hiroyuki Nakahara, Shun-ichi Amari, Barry J. Richm...
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    NCA
    2010
    IEEE
    96views Computer Networks» more  NCA 2010»
    A comparison of binless spike train measures
    13 years 5 days ago
    A comparison of binless spike train measures
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    António R. C. Paiva, Il Park, José C...
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