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- W2765803441 endingPage "706" @default.
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- W2765803441 abstract "Recently developed methods for functional MRI at the resolution of cortical layers (laminar fMRI) offer a novel window into neurophysiological mechanisms of cortical activity. Beyond physiology, laminar fMRI also offers an unprecedented opportunity to test influential theories of brain function. Specifically, hierarchical Bayesian theories of brain function, such as predictive coding, assign specific computational roles to different cortical layers. Combined with computational models, laminar fMRI offers a unique opportunity to test these proposals noninvasively in humans. This review provides a brief overview of predictive coding and related hierarchical Bayesian theories, summarises their predictions with regard to layered cortical computations, examines how these predictions could be tested by laminar fMRI, and considers methodological challenges. We conclude by discussing the potential of laminar fMRI for clinically useful computational assays of layer-specific information processing." @default.
- W2765803441 created "2017-11-10" @default.
- W2765803441 creator A5021920842 @default.
- W2765803441 creator A5032690884 @default.
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- W2765803441 creator A5044841484 @default.
- W2765803441 creator A5071614683 @default.
- W2765803441 creator A5073139241 @default.
- W2765803441 creator A5082870988 @default.
- W2765803441 creator A5089747387 @default.
- W2765803441 date "2019-08-01" @default.
- W2765803441 modified "2023-09-24" @default.
- W2765803441 title "Laminar fMRI and computational theories of brain function" @default.
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