@misc{cogprints3633,
           month = {May},
           title = {Behaviourally meaningful representations from normalisation and context-guided denoising},
          author = {Harri Valpola},
            year = {2004},
             url = {http://cogprints.org/3633/},
        abstract = {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.
}
}

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