The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.
The Faces of Predictive Coding
Open accessAbstract
Recent neurophysiological accounts of predictive coding hypothesized that a mismatch of prediction and sensory evidence-a prediction error (PE)-should be signaled by increased gamma-band activity (GBA) in the cortical area where prediction and evidence are compared. This hypothesis contrasts with alternative accounts where violated predictions should lead to reduced neural responses. We tested these hypotheses by violating predictions about face orientation and illumination direction in a Mooney face-detection task, while recording magnetoencephalographic responses in a large sample of 48 human subjects. The investigated predictions, acquired via lifelong experience, are known to be processed at different time points and brain regions during face recognition.Behavioral responses confirmed the induction of PEs by our task. Beamformer source analysis revealed an early PE signal for unexpected orientation in visual brain areas followed by a PE signal for unexpected illumination in areas involved in 3D shape from shading and spatial working memory. Both PE signals were reflected by increases in high-frequency (68-140 Hz) GBA. In high-frequency GBA we also observed a late interaction effect in visual brain areas, probably corresponding to a high-level PE signal. In addition, increased high-frequency GBA for expected illumination was observed in brain areas involved in attention to internal representations. Our results strongly support the hypothesis that increased GBA signals PEs. Additionally, GBA may represent attentional effects.
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“But there is mounting evidence that oscillatory dynamics play a role in regulating cortical processing and thus can also play a role, especially the gamma (40 to 90 Hz) and alpha/beta (10 to 30 Hz) bands (1, 18–25).”
From Layer and rhythm specificity for predictive routing (2020) · cites this paper as [21]
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The theory of constructed emotion: an active inference account of interoception and categorization
Barrett, L. F. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw154 · Cited by 1,426
“There is accumulating evidence that prediction and prediction error signals oscillate at different frequencies within the brain (e.g. Arnal and Giraud, 2012; Bressler and Richter, 2015; Brodski et al. , 2015).”
The theory of constructed emotion: an active inference account of interoception and categorization
Barrett, L. F. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx060 · Cited by 1,009
“There is accumulating evidence that prediction and prediction error signals oscillate at different frequencies within the brain (e.g. Arnal and Giraud, 2012; Bressler and Richter, 2015; Brodski et al., 2015).”
Ploner, M., Sorg, C., & Groß, J. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.12.001 · Cited by 472
Large-scale cortical networks for hierarchical prediction and prediction error in the primate brain
Chao, Z. C., Takaura, K., Wang, L., Fujii, N., & Dehaene, S. (2018) · Neuron · doi:10.1016/j.neuron.2018.10.004 · Cited by 238
Layer and rhythm specificity for predictive routing
Bastos, A. M., Lundqvist, M., Waite, A. S., Kopell, N., & Miller, E. K. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2014868117 · Cited by 268
“This is supported by human electro/magnetoencephalography (MEG/EEG) studies and a recent monkey electrocorticography study (Arnal and Giraud, 2012; Auksztulewicz and Friston, 2016; Bauer et al., 2006; Brodski et al., 2015; Chao et al., 2018; Mayer et al., 2016; van Pelt et al., 2016; Todorovic et al., 2011).”
Metadata
- Authors
- Brodski, A., Paasch, G.-F., Helbling, S., & Wibral, M.
- Affiliations
- Goethe University Frankfurt (DE)
- Venue
- Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2015-06-17
- Volume
- 35
- Issue
- 24
- Pages
- 8997-9006
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6605164
- OpenAlex
- W1590203034
- Cited by
- 99
- References
- 81
- Citations by year
- 2025: 6 · 2024: 2 · 2023: 8 · 2022: 4 · 2021: 7 · 2020: 28 · 2019: 4 · 2018: 21 · 2017: 10 · 2016: 7 · 2015: 2
- FWCI
- 8.02
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Neuroscience (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Max Planck Digital Library (submittedVersion, other-oa)
- MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- predictive coding, prediction error, gamma oscillations, face recognition (cognition), Mooney faces, face orientation, light direction, spatial working memory, attention, magnetoencephalography
- MeSH terms
- Adult, Brain, Brain Mapping, Face, Female, Forecasting, Humans, Male, Orientation, Pattern Recognition, Visual, Photic Stimulation, Reaction Time, Magnetoencephalography, Gamma Rhythm
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