Cited by 136Face Recognition and PerceptionVisual perception and processing mechanismsFace recognition and analysis

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

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Schwiedrzik, Caspar M., Freiwald, Winrich A.·2017·Neuron

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.

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Crossref · 10.1016/j.neuron.2017.09.007

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  • The neural response to identical sensory input is markedly reduced when the input is predicted, putatively owing to a reduced response of the error units to predictable input, as well as to improved selection of units encoding the relevant causes of the input.

    “Second, the neural response to identical sensory input is markedly reduced when the input is predicted [67,74], putatively owing to a reduced response of the error units to predictable input, as well as to improved selection of units encoding the relevant causes of the input.”

    From How Do Expectations Shape Perception? (2018) · cites this paper as [74]

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  • Expectation suppression is observed in non-invasive fMRI BOLD and EEG/MEG signals, and in spike rates in non-human primates and rodents.

    “Moreover, expectation suppression is observed not only in non-invasive fMRI blood oxygen level-dependent (BOLD) [65,72,73] and electroencephalography (EEG)/magnetoencephalography (MEG) signals [68,69,77], but also in spike rates in non-human primates [66,67,74,76] and rodents [70,75,78].”

    From How Do Expectations Shape Perception? (2018) · cites this paper as [74]

  • The authors found that mirror-symmetric view violations produced smaller responses in ML than nonmirror-symmetric violations in the late phase of the response.

    “In addition, the authors found that mirror‐symmetric view violations produced smaller responses in ML than nonmirror‐symmetric violations in the late phase of the response.”
  • Schwiedrzik and Freiwald found that ML responses to simple violations of head orientation diminished more quickly than more complex stimulus violations involving discrepant facial identities.

    “Indeed, the results showed that ML responses to simple violations of head orientation diminished more quickly than more complex stimulus violations involving discrepant facial identities”
  • An important detail of this study is that the deviant stimulus pairings were not coded according to the departure of the second face from the expected second face but as the departure of the first face from the normal predictor of the second face.

    “However, an important detail of this study is that the deviant stimulus pairings were not coded according to the departure of the second face from the expected second face but as the departure of the first face from the normal predictor of the second face.”

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Authors
Schwiedrzik, C. M., & Freiwald, W. A.
Affiliations
  • German Primate Center (DE)
  • Rockefeller University (US)
Corresponding author
  • Schwiedrzik, Caspar M.
  • Freiwald, Winrich A.
Venue
Neuron
Publisher
Elsevier BV
Published
2017-09
Volume
96
Issue
1
Pages
89-97.e4
ISSN
0896-6273 (ISSN-L)
OpenAlex
W2757870059
Cited by
136
References
47
Citations by year
2026: 4 · 2025: 21 · 2024: 26 · 2023: 18 · 2022: 10 · 2021: 18 · 2020: 19 · 2019: 12 · 2018: 6 · 2017: 1 · 2016: 1
FWCI
5.97
Type
journal article
Language
en
Open access
Locations
  • Neuron (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Human Frontier Science Program Long-Term Fellowship (LT001118/2012-L)
  • Irma T. Hirschl
  • Monique Weill-Caulier Trusts Award
  • Pew Scholar Award in the Biomedical Sciences
  • McKnight Scholars Award
  • New York Stem Cell Foundation
  • National Eye Institute (R01 EY021594)
  • National Center for Advancing Translational Sciences (CTSA UL1 TR001866)
  • NSF Science and Technology Center for Brains, Minds, and Machines (CCF-1231216/5710003506)
  • National Science Foundation (DBI-1343174)
  • New York Stem Cell Foundation-Robertson Investigator
  • European Union’s Horizon 2020 research and innovation programme
  • Marie Skłodowska-Curie (706519)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
Keywords
predictive coding, face processing, ventral stream, prediction error, statistical learning, viewpoint invariance, hierarchical processing, macaque, feedforward processing
MeSH terms
Facial Recognition, Adult, Animals, Brain Mapping, Face, Female, Humans, Learning, Macaca, Magnetic Resonance Imaging, Male, Neural Pathways, Photic Stimulation, Temporal Lobe, Visual Pathways

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