"3633","Behaviourally meaningful representations from normalisation and context-guided denoising","Many 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. ","http://cogprints.org/3633/","Valpola, Harri","UNSPECIFIED"," Valpola, Harri (2004) Behaviourally meaningful representations from normalisation and context-guided denoising. [Departmental Technical Report] ","","2004-05"