Keller, GB;
Mrsic-Flogel, TD;
(2018)
Predictive Processing: A Canonical Cortical Computation.
Neuron
, 100
(2)
pp. 424-435.
10.1016/j.neuron.2018.10.003.
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Abstract
This perspective describes predictive processing as a computational framework for understanding cortical function in the context of emerging evidence, with a focus on sensory processing. We discuss how the predictive processing framework may be implemented at the level of cortical circuits and how its implementation could be falsified experimentally. Lastly, we summarize the general implications of predictive processing on cortical function in healthy and diseased states.
| Type: | Article |
|---|---|
| Title: | Predictive Processing: A Canonical Cortical Computation |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.neuron.2018.10.003 |
| Publisher version: | https://doi.org/10.1016/j.neuron.2018.10.003 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | predictive processing, predictive coding, sensory processing, cortex, canonical microcircuit |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > The Sainsbury Wellcome Centre |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10064516 |
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