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Physics can explain complex systems with a small set of elegant laws (for example, Maxwell's equations in electromagnetism). Can't the multidisciplinary study of the brain produce a similar list of simple but universal principles that can explain the majority of the brain's operation? Given exciting developments in theory, empirical findings and computational studies, it seems that the generation of predictions might be one strong candidate for such a universal principle. Predictions in the brain is the focus of the collection of papers in this special Theme Issue. These papers range from addressing cellular underpinnings to computational principles to cognition, emotion and happiness. And they cover predictions that range from the next turn of a rat navigating a maze to predictions required in social interactions. The questions that you might expect to learn and be stimulated about by reading this volume are accordingly diverse. We learn, encode, recollect, attend, recognize, evaluate, feel and act. The papers presented here put forth neural models describing the possible interactions between these rich processes and the mechanisms that mediate them.

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