We perceive the world by rapidly transforming streams of meaningless sensory signals into meaningful tokens, such as hearing the word ‘brain’ or seeing an apple. How can our brain do this so quickly, efficiently, and robustly? The key that may unlock this ability is prediction: The brain is constantly forming predictions of its input, which are compared with incoming information to update predictions, in a virtuous cycle.
We examine how the brain acquires and uses internal predictive models in perception and cognition. We look at human behaviour, neural activity (fMRI, EEG/MEG), and computational/artificial neural network models.
