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    BC
    2007
    100views more  BC 2007»
    Neuronal selectivity, population sparseness, and ergodicity in the inferior temporal visual cortex
    13 years 11 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
    14 years 24 days 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
    14 years 24 days 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
    14 years 24 days 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
    14 years 25 days 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
    14 years 25 days ago
    Optimal Information Decoding from Neuronal Populations with Specific Stimulus Selectivity
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    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
    14 years 25 days 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
    14 years 25 days 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
    14 years 25 days 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
    14 years 25 days 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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