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    » Expressive Models for Synaptic Plasticity
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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 8 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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    IJON
    2007
    93views more  IJON 2007»
    Computing with active dendrites
    13 years 6 months ago
    Computing with active dendrites
    Download  www.xdr.com
    This paper introduces a new model of a spiking neuron with active dendrites and dynamic synapses (ADDS). The neuron employs the dynamics of the synapses and the active properties ...
    Christo Panchev
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    ICRA
    2007
    IEEE
    139views Robotics» more  ICRA 2007»
    An Optimum Design of Robotic Hand for Handling a Visco-elastic Object Based on Maxwell Model
    14 years 1 months ago
    An Optimum Design of Robotic Hand for Handling a Visco-elastic Object Based on Maxwell Model
    Download  www.bsys.hiroshima-u.ac.jp
    — This paper discusses an optimum design approach for robotic hands by considering the characteristics of viscoelasticity of food. “Norimaki-sushi” is taken as an example for...
    Naoki Sakamoto, Mitsuru Higashimori, Toshio Tsuji,...
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    NECO
    2007
    150views more  NECO 2007»
    Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
    13 years 6 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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    CONNECTION
    2006
    172views more  CONNECTION 2006»
    Temporal sequence detection with spiking neurons: towards recognizing robot language instructions
    13 years 6 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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