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    NIPS
    2008
    101views Information Technology» more  NIPS 2008»
    Tracking Changing Stimuli in Continuous Attractor Neural Networks
    13 years 8 months ago
    Tracking Changing Stimuli in Continuous Attractor Neural Networks
    Download  repository.ust.hk
    Continuous attractor neural networks (CANNs) are emerging as promising models for describing the encoding of continuous stimuli in neural systems. Due to the translational invaria...
    C. C. Alan Fung, K. Y. Michael Wong, Si Wu
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    PADS
    2005
    ACM
    137views Modeling and Simulation» more  PADS 2005»
    Parallel Event-Driven Neural Network Simulations Using the Hodgkin-Huxley Neuron Model
    14 years 29 days ago
    Parallel Event-Driven Neural Network Simulations Using the Hodgkin-Huxley Neuron Model
    Download  www.cs.mcgill.ca
    Neural systems are composed of a large number of highly-connected neurons and are widely simulated within the neurological community. In this paper, we examine the application of ...
    Collin J. Lobb, Zenas Chao, Richard M. Fujimoto, S...
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    ESANN
    2001
    120views Neural Networks» more  ESANN 2001»
    Prediction of foreign exchange rates by neural network and fuzzy system based techniques
    13 years 8 months ago
    Prediction of foreign exchange rates by neural network and fuzzy system based techniques
    Download  www.dice.ucl.ac.be
    : Forecasting currency exchange rates are an important financial problem that is receiving increasing attention especially because of its intrinsic difficulty and practical applica...
    Vassilis S. Kodogiannis, A. Lolis
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    ENGL
    2008
    153views more  ENGL 2008»
    Neural Network NARMA Control of a Gyroscopic Inverted Pendulum
    13 years 7 months ago
    Neural Network NARMA Control of a Gyroscopic Inverted Pendulum
    Download  www.engineeringletters.com
    The objective herein is to demonstrate the feasibility of a real-time digital control of an inverted pendulum for modeling and control, with emphasis on nonlinear auto regressive m...
    F. Chetouane, S. Darenfed
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    ICML
    2006
    IEEE
    205views Machine Learning» more  ICML 2006»
    Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
    14 years 8 months ago
    Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
    Download  www6.in.tum.de
    Many real-world sequence learning tasks require the prediction of sequences of labels from noisy, unsegmented input data. In speech recognition, for example, an acoustic signal is...
    Alex Graves, Faustino J. Gomez, Jürgen Schmid...
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