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    ESANN
    2007
    128views Neural Networks» more  ESANN 2007»
    A supervised learning approach based on STDP and polychronization in spiking neuron networks
    13 years 6 months ago
    A supervised learning approach based on STDP and polychronization in spiking neuron networks
    Download  www.dice.ucl.ac.be
    We propose a network model of spiking neurons, without preimposed topology and driven by STDP (Spike-Time-Dependent Plasticity), a temporal Hebbian unsupervised learning mode, biol...
    Hélène Paugam-Moisy, Régis Ma...
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    ESANN
    2006
    121views Neural Networks» more  ESANN 2006»
    Learning and discrimination through STDP in a top-down modulated associative memory
    13 years 6 months ago
    Learning and discrimination through STDP in a top-down modulated associative memory
    Download  www.dice.ucl.ac.be
    Abstract. This article underlines the learning and discrimination capabilities of a model of associative memory based on artificial networks of spiking neurons. Inspired from neuro...
    Anthony Mouraud, Hélène Paugam-Moisy
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    ICONIP
    2008
    114views Information Technology» more  ICONIP 2008»
    Noise-Tolerant Analog Circuits for Sensory Segmentation Based on Symmetric STDP Learning
    13 years 6 months ago
    Noise-Tolerant Analog Circuits for Sensory Segmentation Based on Symmetric STDP Learning
    Download  lalsie.ist.hokudai.ac.jp
    Abstract. We previously proposed a neural segmentation model suitable for implementation with complementary metal-oxide-semiconductor (CMOS) circuits. The model consists of neural ...
    Gessyca Maria Tovar, Tetsuya Asai, Yoshihito Amemi...
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    CONNECTION
    2006
    172views more  CONNECTION 2006»
    Temporal sequence detection with spiking neurons: towards recognizing robot language instructions
    13 years 5 months ago
    Temporal sequence detection with spiking neurons: towards recognizing robot language instructions
    Download  www.informatik.uni-hamburg.de
    We present an approach for recognition and clustering of spatio temporal patterns based on networks of spiking neurons with active dendrites and dynamic synapses. We introduce a n...
    Christo Panchev, Stefan Wermter
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    IJCNN
    2006
    IEEE
    145views Neural Networks» more  IJCNN 2006»
    TempUnit: A bio-inspired neural network model for signal processing
    13 years 11 months ago
    TempUnit: A bio-inspired neural network model for signal processing
    Download  eldecog.files.wordpress.com
    – We have developed and tested a novel artificial neural network for the processing of temporal signals. The working of the units (TempUnit) is based on the mechanism of temporal...
    Olivier F. Manette, Marc A. Maier
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