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    IJON
    2006
    73views more  IJON 2006»
    Selective attention implemented with dynamic synapses and integrate-and-fire neurons
    13 years 9 months ago
    Selective attention implemented with dynamic synapses and integrate-and-fire neurons
    Download  www.ini.uzh.ch
    Selective attention is a process widely used by biological sensory systems to overcome the problem of limited parallel processing capacity: salient subregions of the input stimuli...
    Chiara Bartolozzi, Giacomo Indiveri
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    JCNS
    2002
    99views more  JCNS 2002»
    Coarse-Grained Reduction and Analysis of a Network Model of Cortical Response: I. Drifting Grating Stimuli
    13 years 9 months ago
    Coarse-Grained Reduction and Analysis of a Network Model of Cortical Response: I. Drifting Grating Stimuli
    Download  math.nyu.edu
    We present a reduction of a large-scale network model of visual cortex developed by McLaughlin, Shapley, Shelley, and Wielaard. The reduction is from many integrate-and-fire neuron...
    Michael Shelley, David McLaughlin
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    ESANN
    2008
    100views Neural Networks» more  ESANN 2008»
    Initialization mechanism in Kohonen neural network implemented in CMOS technology
    13 years 11 months ago
    Initialization mechanism in Kohonen neural network implemented in CMOS technology
    Download  www.dice.ucl.ac.be
    An initialization mechanism is presented for Kohonen neural network implemented in CMOS technology. Proper selection of initial values of neurons' weights has a large influenc...
    Tomasz Talaska, Rafal Dlugosz
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    CSREAESA
    2004
    158views Embedded Systems» more  CSREAESA 2004»
    CMOS Implementation of Phase-Encoded Complex-Valued Artificial Neural Networks
    13 years 11 months ago
    CMOS Implementation of Phase-Encoded Complex-Valued Artificial Neural Networks
    Download  www.ece.umassd.edu
    - The model of a simple perceptron using phase-encoded inputs and complex-valued weights is presented. Multilayer two-input and three-input complex-valued neurons (CVNs) are implem...
    Howard E. Michel, David Rancour, Sushanth Iringent...
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    ISCAS
    2002
    IEEE
    153views Hardware» more  ISCAS 2002»
    Biological learning modeled in an adaptive floating-gate system
    14 years 2 months ago
    Biological learning modeled in an adaptive floating-gate system
    Download  users.ece.gatech.edu
    We have implemented an aspect of learning and memory in the nervous system using analog electronics. Using a simple synaptic circuit we realize networks with Hebbian type adaptati...
    Christal Gordon, Paul E. Hasler
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