Holly N Phillips

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Brain function can be conceived as a hierarchy of generative models that optimizes predictions of sensory inputs and minimizes "surprise." Each level of the hierarchy makes predictions of neural events at a lower level in the hierarchy, which returns a prediction error when these expectations are violated. We tested the generalization of this hypothesis to(More)
We propose that sensory inputs are processed in terms of optimised predictions and prediction error signals within hierarchical neurocognitive models. The combination of non-invasive brain imaging and generative network models has provided support for hierarchical frontotemporal interactions in oddball tasks, including recent identification of a temporal(More)
The exploration-exploitation trade-off is at the heart of any sequential decision-making process in uncertain environments, such as foraging for food [1] or learning to cycle. This trade-off characterises the balance between reaping the benefits of a known solution (which may or may not be optimal) and continuing to search in hope for better solutions. It(More)
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