Article

A Predictive Processing Account of Bottom-Up Visual Saliency Using Cross-Predicting Autoencoders

2018-08-31

Abstract excerpt

<p>We propose a novel predictive processing account of bottom-up visual saliency in which salience is simply the low-level prediction error between the sense-data and the predictions produced by the generative models in the brain. We test this with modelling in which we use cross-predicting deep autoencoders to create salience maps in an entirely unsupervised way. The resulting maps closely mimic experimentally de...

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Literature Corpus work: 05f44d68-fae1-5a01-9638-ffbd8b41ba8b
DOI: 10.31234/osf.io/csmeb

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