PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Oscillatory Neural Network for Image Segmentation with Biased Competition for Attention
Tapani Raiko and Harri Valpola
In: From Brains to Systems: Brain-Inspired Cognitive Systems 2010 Advances in Experimental Medicine and Biology , 718 . (2011) Springer , New York , pp. 75-86. ISBN 978-1-4614-0163-6

Abstract

We study the emergent properties of an artificial neural network which combines segmentation by oscillations and biased competition for perceptual processing. The aim is to progress in image segmentation by mimicking abstractly the way how the cerebral cortex works. In our model, the neurons associated with features belonging to an object start to oscillate synchronously, while competing objects oscillate with an opposing phase. The emergent properties of the network are confirmed by experiments with artificial image data

EPrint Type:Book Section
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
ID Code:8934
Deposited By:Tapani Raiko
Deposited On:21 February 2012