Convergent evidence for hierarchical prediction networks from human electrocorticography and magnetoencephalography

Abstract

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)
DOI: 10.1016/j.cortex.2016.05.001

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