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    BC
    2007
    100views more  BC 2007»
    Neuronal selectivity, population sparseness, and ergodicity in the inferior temporal visual cortex
    13 years 4 months ago
    Neuronal selectivity, population sparseness, and ergodicity in the inferior temporal visual cortex
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    Abstract Thesparsenessoftheencodingofstimulibysingle neurons and by populations of neurons is fundamental to understanding the efficiency and capacity of representations in the br...
    Leonardo Franco, Edmund T. Rolls, Nikolaos C. Agge...
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    ESANN
    2000
    402views Neural Networks» more  ESANN 2000»
    SpikeProp: backpropagation for networks of spiking neurons
    13 years 6 months ago
    SpikeProp: backpropagation for networks of spiking neurons
    Download  homepages.cwi.nl
    Abstract. For a network of spiking neurons with reasonable postsynaptic potentials, we derive a supervised learning rule akin to traditional error-back-propagation, SpikeProp and s...
    Sander M. Bohte, Joost N. Kok, Johannes A. La Pout...
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    NIPS
    2003
    99views Information Technology» more  NIPS 2003»
    Decoding V1 Neuronal Activity using Particle Filtering with Volterra Kernels
    13 years 6 months ago
    Decoding V1 Neuronal Activity using Particle Filtering with Volterra Kernels
    Download  books.nips.cc
    Decoding is a strategy that allows us to assess the amount of information neurons can provide about certain aspects of the visual scene. In this study, we develop a method based o...
    Ryan Kelly, Tai Sing Lee
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    NIPS
    2003
    106views Information Technology» more  NIPS 2003»
    Synchrony Detection by Analogue VLSI Neurons with Bimodal STDP Synapses
    13 years 6 months ago
    Synchrony Detection by Analogue VLSI Neurons with Bimodal STDP Synapses
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    We present test results from spike-timing correlation learning experiments carried out with silicon neurons with STDP (Spike Timing Dependent Plasticity) synapses. The weight chan...
    Adria Bofill-i-Petit, Alan F. Murray
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    NIPS
    2001
    111views Information Technology» more  NIPS 2001»
    Orientation-Selective aVLSI Spiking Neurons
    13 years 6 months ago
    Orientation-Selective aVLSI Spiking Neurons
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    We describe a programmable multi-chip VLSI neuronal system that can be used for exploring spike-based information processing models. The system consists of a silicon retina, a PIC...
    Shih-Chii Liu, Jörg Kramer, Giacomo Indiveri,...
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    NIPS
    2004
    85views Information Technology» more  NIPS 2004»
    Optimal Information Decoding from Neuronal Populations with Specific Stimulus Selectivity
    13 years 6 months ago
    Optimal Information Decoding from Neuronal Populations with Specific Stimulus Selectivity
    Download  books.nips.cc
    A typical neuron in visual cortex receives most inputs from other cortical neurons with a roughly similar stimulus preference. Does this arrangement of inputs allow efficient read...
    Marcelo A. Montemurro, Stefano Panzeri
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    NIPS
    2004
    162views Information Technology» more  NIPS 2004»
    Bayesian inference in spiking neurons
    13 years 6 months ago
    Bayesian inference in spiking neurons
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    We propose a new interpretation of spiking neurons as Bayesian integrators accumulating evidence over time about events in the external world or the body, and communicating to oth...
    Sophie Deneve
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    ESANN
    2003
    111views Neural Networks» more  ESANN 2003»
    An event-driven framework for the simulation of networks of spiking neurons
    13 years 6 months ago
    An event-driven framework for the simulation of networks of spiking neurons
    Download  www.dice.ucl.ac.be
    We propose an event-driven framework dedicated to the design and the simulation of networks of spiking neurons. It consists stract model of spiking neurons and an efficient event-d...
    Olivier Rochel, Dominique Martinez
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    ESANN
    2004
    122views Neural Networks» more  ESANN 2004»
    A biologically plausible neuromorphic system for object recognition and depth analysis
    13 years 6 months ago
    A biologically plausible neuromorphic system for object recognition and depth analysis
    Download  www.dice.ucl.ac.be
    Abstract. We present a large-scale Neuromorphic model based on integrateand-fire (IF) neurons that analyses objects and their depth within a moving visual scene. A feature-based al...
    Zhijun Yang, Alan F. Murray
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    ESANN
    2004
    95views Neural Networks» more  ESANN 2004»
    Implementation and coupling of dynamic neurons through optoelectronics
    13 years 6 months ago
    Implementation and coupling of dynamic neurons through optoelectronics
    Download  www.dice.ucl.ac.be
    Abstract. In this work we describe experimental results regarding an optoelectronic implementation of a dynamic neuron model. The model is a variation of the FitzHugh-Nagumo equati...
    Alexandre R. S. Romariz, Kelvin Wagner
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