Contour Detection by Synchronization of Integrate-and-Fire Neurons
Identifieur interne : 008349 ( Main/Exploration ); précédent : 008348; suivant : 008350Contour Detection by Synchronization of Integrate-and-Fire Neurons
Auteurs : Etienne Hugues ; Florent Guilleux ; Olivier RochelSource :
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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.
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