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    ESANN
    2006
    116views Neural Networks» more  ESANN 2006»
    Nonlinear dynamics in neural computation
    13 years 9 months ago
    Nonlinear dynamics in neural computation
    Download  www.dice.ucl.ac.be
    This tutorial reports on the use of nonlinear dynamics in several different models of neural systems. We discuss a number of distinct approaches to neural information processing ba...
    Tjeerd Olde Scheper, Nigel Crook
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    JCNS
    2000
    78views more  JCNS 2000»
    Computational Consequences of Temporally Asymmetric Learning Rules: II. Sensory Image Cancellation
    13 years 7 months ago
    Computational Consequences of Temporally Asymmetric Learning Rules: II. Sensory Image Cancellation
    Download  www.proberts.net
    Abstract. The electrosensory lateral line lobe (ELL) of mormyridelectric sh is a cerebellum-likestructure that receives primarya erent input from electroreceptors in the skin. Purk...
    Patrick D. Roberts, Curtis C. Bell
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    NIPS
    2004
    88views Information Technology» more  NIPS 2004»
    Spike Sorting: Bayesian Clustering of Non-Stationary Data
    13 years 9 months ago
    Spike Sorting: Bayesian Clustering of Non-Stationary Data
    Download  books.nips.cc
    Spike sorting involves clustering spike trains recorded by a microelectrode according to the source neuron. It is a complicated problem, which requires a lot of human labor, partl...
    Aharon Bar-Hillel, Adam Spiro, Eran Stark
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    NC
    2008
    126views Neural Networks» more  NC 2008»
    Spiking neural P systems with extended rules: universality and languages
    13 years 7 months ago
    Spiking neural P systems with extended rules: universality and languages
    Download  combio.abo.fi
    We consider spiking neural P systems with rules allowed to introduce zero, one, or more spikes at the same time. The motivation comes both from constructing small universal systems...
    Haiming Chen, Mihai Ionescu, Tseren-Onolt Ishdorj,...
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    ICDM
    2009
    IEEE
    141views Data Mining» more  ICDM 2009»
    Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis
    14 years 2 months ago
    Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis
    Download  research.microsoft.com
    —Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
    Debprakash Patnaik, Srivatsan Laxman, Naren Ramakr...
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