Evidence map›Paper›PMID 28957679›Full record

ArticleNeuron2017

High-Level Prediction Signals in a Low-Level Area of the Macaque Face-Processing Hierarchy.

Caspar M Schwiedrzik, Winrich A Freiwald

Abstract read
In one paragraph

Article in Neuron, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing 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

68 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Prediction Error-Related Memory Enhancement Depends on the Neural State Surrounding the Prediction Error Event.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Feature-specific predictive processing: What's in a prediction error?Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Neurons of Macaque Frontal Eye Field Signal Reward-Related Surprise.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Dynamic fading memory and expectancy effects in the monkey primary visual cortex.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Caspar M SchwiedrzikLaboratory of Neural Systems, The Rockefeller University, New York, NY 10065, USA; Neural Circuits and Cognition Lab, European Neuroscience Institute, 37077 Göttingen, Germany; University Medical Center Goettingen, 37075 Göttingen, Germany; Cognitive Neuroscience Laboratory, German Primate Center, 37077 Göttingen, Germany. Electronic address: c.schwiedrzik@eni-g.de.
Winrich A FreiwaldLaboratory of Neural Systems, The Rockefeller University, New York, NY 10065, USA. Electronic address: wfreiwald@rockefeller.edu.

Funding

Developing, Demonstrating, and Disseminating Innovative Programs to Achieve Translational SuccessUL1TR001866 · NCATS · ROCKEFELLER UNIVERSITY · PI COLLER, BARRY, KRUEGER, JAMES G · 2016 to 2025
$40.6M
Neural Mechanisms of Face RecognitionR01EY021594 · NEI · ROCKEFELLER UNIVERSITY · PI FREIWALD, WINRICH · 2014 to 2019
$2.6M
NCATS NIH HHS UL1 TR001866NEI NIH HHS R01 EY021594
6 · The paper itself

Abstract

Theories like predictive coding propose that lower-order brain areas compare their inputs to predictions derived from higher-order representations and signal their deviation as a prediction error. Here, we investigate whether the macaque face-processing system, a three-level hierarchy in the ventral stream, employs such a coding strategy. We show that after statistical learning of specific face sequences, the lower-level face area ML computes the deviation of actual from predicted stimuli. But these signals do not reflect the tuning characteristic of ML. Rather, they exhibit identity specificity and view invariance, the tuning properties of higher-level face areas AL and AM. Thus, learning appears to endow lower-level areas with the capability to test predictions at a higher level of abstraction than what is afforded by the feedforward sweep. These results provide evidence for computational architectures like predictive coding and suggest a new quality of functional organization of information-processing hierarchies beyond pure feedforward schemes.

Indexed as

Brain MappingAdultAnimalsFaceFacial RecognitionFemaleHumansLearningMacacaMagnetic Resonance ImagingMaleNeural PathwaysPhotic StimulationTemporal LobeVisual Pathwayselectrophysiologyface processingfunctional magnetic resonance imaginghumaninferotemporal cortexMacaque monkeypredictive codingpsychophysicsstatistical learning

Identifiers

PMID28957679
PMCPMC5757317

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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.