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    NIPS
    2008
    142views Information Technology» more  NIPS 2008»
    Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
    13 years 6 months ago
    Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
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    Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
    Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Ma...
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    NECO
    2008
    73views more  NECO 2008»
    Dependence of Neuronal Correlations on Filter Characteristics and Marginal Spike Train Statistics
    13 years 5 months ago
    Dependence of Neuronal Correlations on Filter Characteristics and Marginal Spike Train Statistics
    Download  material.bccn.uni-freiburg.de
    Tom Tetzlaff, Stefan Rotter, Eran Stark, Moshe Abe...
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    IJON
    2002
    101views more  IJON 2002»
    Correlated input spike trains and their effects on the response of the leaky integrate-and-fire neuron
    13 years 5 months ago
    Correlated input spike trains and their effects on the response of the leaky integrate-and-fire neuron
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    Alexandre Kuhn, Stefan Rotter, Ad Aertsen
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    JCNS
    2010
    72views more  JCNS 2010»
    CuBIC: cumulant based inference of higher-order correlations in massively parallel spike trains
    13 years 3 months ago
    CuBIC: cumulant based inference of higher-order correlations in massively parallel spike trains
    Download  material.bccn.uni-freiburg.de
    Benjamin Staude, Stefan Rotter, Sonja Grün
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    TNN
    2008
    85views more  TNN 2008»
    Training Spiking Neuronal Networks With Applications in Engineering Tasks
    13 years 5 months ago
    Training Spiking Neuronal Networks With Applications in Engineering Tasks
    Download  www.dcs.warwick.ac.uk
    In this paper, spiking neuronal models employing means, variances, and correlations for computation are introduced. We present two approaches in the design of spiking neuronal netw...
    Phill Rowcliffe, Jianfeng Feng
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