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Contour Detection by Synchronization of Integrate-and-Fire Neurons

Etienne Hugues 1 Florent Guilleux 1 Olivier Rochel 1
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : We present a biologically inspired spiking neural network which is able to detect contours in grey level images by synchronization of neurons. This network is made of integrate-and-fire neurons, spaced on a triangular network, whose oriented receptive field is constructed by a wavelet which specifically detects edges. The neurons are excitatorily and locally connected between receptive fields that tend to detect the same contour. A contour, if its width is not too large, activates a chain of neurons, with some heterogeneity in the inputs. The capacity of a chain to synchronize with respect to such heterogeneity is studied. Synchronization on a contour is found to be possible for a sufficiently large width.
Mots-clés : contour detection spiking neuron integrate-and-fire neural network temporal code synchronization orientation selectivity réseau de neurones codage temporel synchronisation sélectivité à l'orientation detection de contour neurone impulsionnel
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Conference papers
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https://hal.inria.fr/inria-00100986
Contributor : Publications Loria <>
Submitted on : Tuesday, September 26, 2006 - 2:53:20 PM
Last modification on : Friday, February 26, 2021 - 3:28:03 PM

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  • HAL Id : inria-00100986, version 1

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INRIA | CNRS | LORIA | UNIV-LORRAINE

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Etienne Hugues, Florent Guilleux, Olivier Rochel. Contour Detection by Synchronization of Integrate-and-Fire Neurons. 2nd internationale Workshop on Biologically Motivated Computer Vision - BMCV 2002, Max Planck Institute for Biological Cybernetics, Nov 2002, Tübingen, Allemagne, pp.60-69. ⟨inria-00100986⟩

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