Evidence map›Paper›PMID 19649171›Full record

ArticleFrontiers in neuroinformatics2009

Perception and hierarchical dynamics.

Stefan J Kiebel, Jean Daunizeau, Karl J Friston

Abstract read
In one paragraph

Article in Frontiers in neuroinformatics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Free energy, precision and learning: the role of cholinergic neuromodulation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013
    Trial
  2. Shared spatial and temporal principles govern connectome dynamics across timescales.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Review
  4. Article
  5. Review
  6. The fear-avoidance model as an embodied prediction of threat.Cognitive, affective & behavioral neuroscience · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Stochastic Chaos and Markov Blankets.Entropy (Basel, Switzerland) · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Active listening.Hearing research · 2021
    Article
  15. Generative models, linguistic communication and active inference.Neuroscience and biobehavioral reviews · 2020
    Review
  16. Article
  17. Article
  18. Learning Generative State Space Models for Active Inference.Frontiers in computational neuroscience · 2020
    Article
  19. Review
  20. Article
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

3 authors.

Stefan J KiebelMax Planck Institute for Human Cognitive and Brain Sciences Leipzig, Germany.
Jean Daunizeau
Karl J Friston

Funding

Wellcome Trust 088130
6 · The paper itself

Abstract

In this paper, we suggest that perception could be modeled by assuming that sensory input is generated by a hierarchy of attractors in a dynamic system. We describe a mathematical model which exploits the temporal structure of rapid sensory dynamics to track the slower trajectories of their underlying causes. This model establishes a proof of concept that slowly changing neuronal states can encode the trajectories of faster sensory signals. We link this hierarchical account to recent developments in the perception of human action; in particular artificial speech recognition. We argue that these hierarchical models of dynamical systems are a plausible starting point to develop robust recognition schemes, because they capture critical temporal dependencies induced by deep hierarchical structure. We conclude by suggesting that a fruitful computational neuroscience approach may emerge from modeling perception as non-autonomous recognition dynamics enslaved by autonomous hierarchical dynamics in the sensorium.

Indexed as

Bayesian inversionbiological movementbirdsongdynamic systems theoryenvironmentperceptionrecognitionspeech

Identifiers

PMID19649171
PMCPMC2718783

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.