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    » Expressive Models for Synaptic Plasticity
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    BMCBI
    2008
    77views more  BMCBI 2008»
    Stochastic models for the in silico simulation of synaptic processes
    13 years 6 months ago
    Stochastic models for the in silico simulation of synaptic processes
    Download  www.biomedcentral.com
    Background: Research in life sciences is benefiting from a large availability of formal description techniques and analysis methodologies. These allow both the phenomena investiga...
    Andrea Bracciali, Marcello Brunelli, Enrico Catald...
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    ICONIP
    2007
    126views Information Technology» more  ICONIP 2007»
    Analog CMOS Circuits Implementing Neural Segmentation Model Based on Symmetric STDP Learning
    13 years 8 months ago
    Analog CMOS Circuits Implementing Neural Segmentation Model Based on Symmetric STDP Learning
    Download  lalsie.ist.hokudai.ac.jp
    We proposed a neural segmentation model that is suitable for implementation in analog VLSIs using conventional CMOS technology. The model consists of neural oscillators mutually co...
    Gessyca Maria Tovar, Eric Shun Fukuda, Tetsuya Asa...
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    ICRA
    2008
    IEEE
    172views Robotics» more  ICRA 2008»
    Modeling of biomimetic robotic fish propelled by an ionic polymer-metal composite actuator
    14 years 1 months ago
    Modeling of biomimetic robotic fish propelled by an ionic polymer-metal composite actuator
    Download  www.egr.msu.edu
    — In this paper a physics-based model is proposed for a biomimetic robotic fish propelled by an ionic polymermetal composite (IPMC) actuator. The model incorporates both IPMC ac...
    Ernest Mbemmo, Zheng Chen, Stephan Shatara, Xiaobo...
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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 8 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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    ESANN
    2006
    121views Neural Networks» more  ESANN 2006»
    Learning and discrimination through STDP in a top-down modulated associative memory
    13 years 8 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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