A neural cocktail-party processor
Biological Cybernetics
Synchronization of pulse-coupled biological oscillators
SIAM Journal on Applied Mathematics
Monotonicity of phaselocked solutions in chains and arrays of nearest-neighbor coupled oscillators
SIAM Journal on Mathematical Analysis
A neural model of contour integration in the primary visual cortex
Neural Computation
Identification of salient contours in cluttered images
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Perceptual groupings in a self-organizing map of spiking neurons
Perceptual groupings in a self-organizing map of spiking neurons
Synchrony in Heterogeneous Networks of Spiking Neurons
Neural Computation
Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
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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.