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Philos Trans R Soc Lond B Biol Sci. 2015 May 19;370(1668). pii: 20140169. doi: 10.1098/rstb.2014.0169.

Cerebral hierarchies: predictive processing, precision and the pulvinar.

Author information

1
School of Psychology, Sackler Centre for Consciousness Science, University of Sussex, Brighton BN1 9QH, UK Precursory Research for Embryonic Science and Technology, Japan Science and Technology Agency, Saitama 332-0012, Japan.
2
School of Psychology, Sackler Centre for Consciousness Science, University of Sussex, Brighton BN1 9QH, UK Precursory Research for Embryonic Science and Technology, Japan Science and Technology Agency, Saitama 332-0012, Japan Systems Neuroscience, Human Technology Research Institute, National Institute of Advanced Industrial Science and Technology, Tsukuba 305-8568, Japan.
3
UCL Institute of Ophthalmology, London EC1V 9EL, UK.
4
Wellcome Trust Centre for Neuroimaging, Institute of Neurology, UCL, London WC1 3BG, UK k.friston@ucl.ac.uk.

Abstract

This paper considers neuronal architectures from a computational perspective and asks what aspects of neuroanatomy and neurophysiology can be disclosed by the nature of neuronal computations? In particular, we extend current formulations of the brain as an organ of inference--based upon hierarchical predictive coding--and consider how these inferences are orchestrated. In other words, what would the brain require to dynamically coordinate and contextualize its message passing to optimize its computational goals? The answer that emerges rests on the delicate (modulatory) gain control of neuronal populations that select and coordinate (prediction error) signals that ascend cortical hierarchies. This is important because it speaks to a hierarchical anatomy of extrinsic (between region) connections that form two distinct classes, namely a class of driving (first-order) connections that are concerned with encoding the content of neuronal representations and a class of modulatory (second-order) connections that establish context-in the form of the salience or precision ascribed to content. We explore the implications of this distinction from a formal perspective (using simulations of feature-ground segregation) and consider the neurobiological substrates of the ensuing precision-engineered dynamics, with a special focus on the pulvinar and attention.

KEYWORDS:

attention; neuromodulation; neuronal computational; precision; predictive coding; pulvinar

PMID:
25823866
PMCID:
PMC4387510
DOI:
10.1098/rstb.2014.0169
[Indexed for MEDLINE]
Free PMC Article

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