Grounding predictive coding models in empirical neuroscience research
- PMID: 23663509
- DOI: 10.1017/S0140525X1200218X
Grounding predictive coding models in empirical neuroscience research
Abstract
Clark makes a convincing case for the merits of conceptualizing brains as hierarchical prediction machines. This perspective has the potential to provide an elegant and powerful general theory of brain function, but it will ultimately stand or fall with evidence from basic neuroscience research. Here, we characterize the status quo of that evidence and highlight important avenues for future investigations.
Comment in
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Are we predictive engines? Perils, prospects, and the puzzle of the porous perceiver.Behav Brain Sci. 2013 Jun;36(3):233-53. doi: 10.1017/s0140525x12002440. Behav Brain Sci. 2013. PMID: 23814868
Comment on
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Whatever next? Predictive brains, situated agents, and the future of cognitive science.Behav Brain Sci. 2013 Jun;36(3):181-204. doi: 10.1017/S0140525X12000477. Epub 2013 May 10. Behav Brain Sci. 2013. PMID: 23663408 Review.
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