2004-05-14Z2011-03-11T08:55:36Zhttp://cogprints.org/id/eprint/3633This item is in the repository with the URL: http://cogprints.org/id/eprint/36332004-05-14ZBehaviourally meaningful representations from normalisation and context-guided denoisingMany existing independent component analysis algorithms include a preprocessing stage where the inputs are sphered. This amounts to normalising the data such that all correlations between the variables are removed. In this work, I show that sphering allows very weak contextual modulation to steer the development of meaningful features. Context-biased competition has been proposed as a model of covert attention and I propose that sphering-like normalisation also allows weaker top-down bias to guide attention.
Harri Valpola