HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

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.
Document type :
Conference papers
Complete list of metadata

Contributor : Publications Loria Connect in order to contact the contributor
Submitted on : Tuesday, September 26, 2006 - 2:53:20 PM
Last modification on : Friday, February 4, 2022 - 3:31:19 AM


  • HAL Id : inria-00100986, version 1



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⟩



Record views