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    NECO
    2007
    150views more  NECO 2007»
    Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
    13 years 5 months ago
    Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
    Download  eprints.pascal-network.org
    Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
    Dorit Baras, Ron Meir
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    NECO
    2007
    74views more  NECO 2007»
    Phase Transition and Hysteresis in an Ensemble of Stochastic Spiking Neurons
    13 years 5 months ago
    Phase Transition and Hysteresis in an Ensemble of Stochastic Spiking Neurons
    Download  www.mbfys.ru.nl
    An ensemble of stochastic non-leaky integrate-and-fire neurons with global, delayed and excitatory coupling and a small refractory period is analyzed. Simulations with adiabatic ...
    Andreas Kaltenbrunner, Vicenç Gómez,...
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    NECO
    2007
    112views more  NECO 2007»
    Distortion of Neural Signals by Spike Coding
    13 years 5 months ago
    Distortion of Neural Signals by Spike Coding
    Download  neocortex.med.cornell.edu
    Analog neural signals must be converted into spike trains for transmission over electrically leaky axons. This spike encoding and subsequent decoding leads to distortion. We quant...
    David H. Goldberg, Andreas G. Andreou
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    NECO
    2007
    56views more  NECO 2007»
    Spike-Timing-Dependent Plasticity in Balanced Random Networks
    13 years 5 months ago
    Spike-Timing-Dependent Plasticity in Balanced Random Networks
    Download  www.theswartzfoundation.org
    Abigail Morrison, Ad Aertsen, Markus Diesmann
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    NECO
    2007
    55views more  NECO 2007»
    SVDD-Based Pattern Denoising
    13 years 5 months ago
    SVDD-Based Pattern Denoising
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    Jooyoung Park, Daesung Kang, Jongho Kim, James T. ...
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    NECO
    2007
    53views more  NECO 2007»
    A Method for Selecting the Bin Size of a Time Histogram
    13 years 5 months ago
    A Method for Selecting the Bin Size of a Time Histogram
    Download  www.ton.scphys.kyoto-u.ac.jp
    Hideaki Shimazaki, Shigeru Shinomoto
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    NECO
    2007
    110views more  NECO 2007»
    Exact Simulation of Integrate-and-Fire Models with Exponential Currents
    13 years 5 months ago
    Exact Simulation of Integrate-and-Fire Models with Exponential Currents
    Download  www.maths.tcd.ie
    ll Text][Abstract] , October 1, 2007; 19 (10): 2604-2609.Neural Comput. R. Brette Exact Simulation of Integrate-and-Fire Models with Exponential Currents ll Text][Abstract] , Novem...
    Romain Brette
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    NECO
    2007
    51views more  NECO 2007»
    Models Wagging the Dog: Are Circuits Constructed with Disparate Parameters?
    13 years 5 months ago
    Models Wagging the Dog: Are Circuits Constructed with Disparate Parameters?
    Download  eprints.sussex.ac.uk
    In a recent paper Prinz et al. (Nature Neurosci. 7, 1345-52 (2004)) have addressed the fundamental question, whether neural systems are built with a fixed blueprint of tightly con...
    Thomas Nowotny, Attila Szücs, Rafael Levi, Al...
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    NECO
    2007
    93views more  NECO 2007»
    MISEP Method for Postnonlinear Blind Source Separation
    13 years 5 months ago
    MISEP Method for Postnonlinear Blind Source Separation
    Download  www.intelengine.cn
    Chun-Hou Zheng, De-Shuang Huang, Kang Li, George W...
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    NECO
    2007
    107views more  NECO 2007»
    Training a Support Vector Machine in the Primal
    13 years 5 months ago
    Training a Support Vector Machine in the Primal
    Download  olivier.chapelle.cc
    Most literature on Support Vector Machines (SVMs) concentrate on the dual optimization problem. In this paper, we would like to point out that the primal problem can also be solve...
    Olivier Chapelle
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