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Gray-level object segmentation with a network of FitzHugh-Nagumo oscillators
Author(s) -
Abderrahim Labbi,
Ruggero Milanese,
Holger Bosch
Publication year - 1997
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-63047-3
DOI - 10.1007/bfb0032567
Subject(s) - computer science , segmentation , encode , artificial intelligence , topology (electrical circuits) , mathematics , biochemistry , chemistry , combinatorics , gene
. In this paper we adopt a temporal coding approach to neuronalmodeling of the visual cortex, using oscillations. We propose ahierarchy of three processing modules corresponding to different levelsof representation. The first layer encodes the input image (stimulus)into an array of units, while the second layer consists of a network ofFitzHugh-Nagumo oscillators. The dynamical behaviour of the coupledoscillators is rigorously investigated and a stimulus-driven synchronizationtheorem is...

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