Cerebral hierarchies: predictive processing, precision and the pulvinar

Kanai, Ryota, Komura, Yataka, Shipp, Stewart and Friston, Karl (2015) Cerebral hierarchies: predictive processing, precision and the pulvinar. Philosophical Transactions of the Royal Society B: Biological Sciences, 370 (1668). 20140169 1-13. ISSN 0962-8436

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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.

Item Type: Article
Keywords: Neuronal computational; attention; predictive coding; precision; neuromodulation; pulvinar
Schools and Departments: School of Psychology > Psychology
Depositing User: Sanjeedah Choudhury
Date Deposited: 09 Oct 2018 13:28
Last Modified: 02 Jul 2019 14:19
URI: http://sro.sussex.ac.uk/id/eprint/79276

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