Evidence map›Paper›PMID 25823866›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2015

Cerebral hierarchies: predictive processing, precision and the pulvinar.

Ryota Kanai, Yutaka Komura, Stewart Shipp, Karl Friston

Abstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 161 papers.

0numbers the graph read from it
0cells of the map it votes in
161citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

161 citing papers in PubMed.

  1. Effective connectivity changes in LSD-induced altered states of consciousness in humans.Proceedings of the National Academy of Sciences of the United States of America · 2019
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  14. The active construction of past episodes.Translational neuroscience · 2026
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Five Fristonian Formulae.Entropy (Basel, Switzerland) · 2025
    Article

101 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ryota KanaiSchool 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.
Yutaka KomuraSchool 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.
Stewart ShippUCL Institute of Ophthalmology, London EC1V 9EL, UK.
Karl FristonWellcome Trust Centre for Neuroimaging, Institute of Neurology, UCL, London WC1 3BG, UK k.friston@ucl.ac.uk.

Funding

Wellcome Trust 088130Wellcome Trust 091593
6 · The paper itself

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.

Indexed as

Nerve NetBrain MappingComputer SimulationHumansModels, BiologicalPulvinarattentionneuromodulationneuronal computationalprecisionpredictive codingpulvinar

Identifiers

PMID25823866
PMCPMC4387510

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.