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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The assessment and analysis of handedness: The Edinburgh inventory
Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900
A Simple Sequentially Rejective Multiple Test Procedure
(1979) · Scandinavian Journal of Statistics · doi:10.2307/4615733 · Cited by 21,526
Oostenveld, R., Fries, P., Maris, E., & Schoffelen, J.-M. (2011) · Computational Intelligence and Neuroscience · doi:10.1155/2011/156869 · Cited by 10,323
(1966) · Medical Entomology and Zoology · Cited by 10,293
Signal detection theory and psychophysics
Ingleby, D. (1967) · Journal of Sound and Vibration · doi:10.1016/0022-460x(67)90197-6 · Cited by 8,616
Nonparametric statistical testing of EEG- and MEG-data
Maris, E., & Oostenveld, R. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.03.024 · Cited by 8,496
The free-energy principle: a unified brain theory?
Friston, K. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2787 · Cited by 8,120 · cited 2×
“…mechanisms underlying the integration of experience-based information and sensory evidence during the perceptual process are still a matter of debate (Mumford, 1992; Rao and Ballard, 1999; Kersten et al., 2004; Friston, 2005, 2010; Grossberg, 2007, 2013; Spratling, 2008; Kay and Phillips, 2011).”
BackgroundMethodPower failure: why small sample size undermines the reliability of neuroscience
Button, K. S., Ioannidis, J. P. A., Mokrysz, C., Nosek, B. A., Flint, J., Robinson, E. S. J., & Munafò, M. R. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3475 · Cited by 7,641 · cited 2×
“The large sample size of 48 subjects was chosen to reduce the risk of false positives, as suggested by Button et al. (2013).”
BackgroundWhatever next? Predictive brains, situated agents, and the future of cognitive science
Clark, A. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12000477 · Cited by 5,924 · cited 1×
“The view of the brain as a “predictive machine” has gained considerable popularity in the last decade (Hawkins and Blakeslee, 2005; Clark, 2013; Hohwy, 2013).”
BackgroundRao, R. P. N., & Ballard, D. H. (1999) · Nature Neuroscience · doi:10.1038/4580 · Cited by 5,483 · cited 8×
“…mechanisms underlying the integration of experience-based information and sensory evidence during the perceptual process are still a matter of debate (Mumford, 1992; Rao and Ballard, 1999; Kersten et al., 2004; Friston, 2005, 2010; Grossberg, 2007, 2013; Spratling, 2008; Kay and Phillips, 2011).”
BackgroundInfluentialA theory of cortical responses.
Friston, K. (2005) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2005.1622 · Cited by 4,578
Conflict monitoring and anterior cingulate cortex: an update
Botvinick, M. M., Cohen, J. D., & Carter, C. S. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.10.003 · Cited by 3,623
Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space
Collins, D. L., Neelin, P., Peters, T. M., & Evans, A. C. (1994) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199403000-00005 · Cited by 3,431 · cited 2×
“uk/spm) in MNI space (Collins et al., 1994) obtaining an individual transformation matrix for each subject.”
BackgroundMethodModulation of Oscillatory Neuronal Synchronization by Selective Visual Attention
Fries, P., Reynolds, J. H., Rorie, A. E., & Desimone, R. (2001) · Science · doi:10.1126/science.1055465 · Cited by 2,786
Circular analysis in systems neuroscience: the dangers of double dipping
Kriegeskorte, N., Simmons, W. K., Bellgowan, P. S. F., & Baker, C. I. (2009) · Nature Neuroscience · doi:10.1038/nn.2303 · Cited by 2,696
Yin, R. K. (1969) · Journal of Experimental Psychology · doi:10.1037/h0027474 · Cited by 2,624
Van Veen, B. D., Van Drongelen, W., Yuchtman, M., & Suzuki, A. (1997) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.623056 · Cited by 2,561
Prolate Spheroidal Wave Functions, Fourier Analysis and Uncertainty - I
Slepian, D., & Pollak, H. O. (1961) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1961.tb03976.x · Cited by 2,492
Canonical Microcircuits for Predictive Coding
Bastos, A. M., Usrey, W. M., Adams, R. A., Mangun, G. R., Fries, P., & Friston, K. J. (2012) · Neuron · doi:10.1016/j.neuron.2012.10.038 · Cited by 2,421
Spectral Analysis for Physical Applications
Percival, D. B., & Walden, A. T. (1993) · Cambridge University Press eBooks · doi:10.1017/cbo9780511622762 · Cited by 2,148
Neurophysiological and Computational Principles of Cortical Rhythms in Cognition
Wang, X.-J. (2010) · Physiological Reviews · doi:10.1152/physrev.00035.2008 · Cited by 1,939
Perception's shadow: long-distance synchronization of human brain activity
Rodriguez, E., George, N., Lachaux, J.-P., Martinerie, J., Renault, B., & Varela, F. J. (1999) · Nature · doi:10.1038/17120 · Cited by 1,915
Hohwy, J. (2013) · doi:10.1093/acprof:oso/9780199682737.001.0001 · Cited by 1,914
Dynamic imaging of coherent sources: studying neural interactions in the human brain
Gross, J., Kujala, J., Hämäläinen, M., Timmermann, L., Schnitzler, A., & Salmelin, R. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.694 · Cited by 1,810
Prolate Spheroidal Wave Functions, Fourier Analysis, and Uncertainty-V: The Discrete Case
Slepian, D. (1978) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1978.tb02104.x · Cited by 1,756
Predictive coding under the free-energy principle
Friston, K., & Kiebel, S. (2009) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2008.0300 · Cited by 1,579
Parietal lobe contributions to episodic memory retrieval
Wagner, A. D., Shannon, B. J., Kahn, I., & Buckner, R. L. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.07.001 · Cited by 1,571
Attention, uncertainty, and free-energy
Feldman, H., & Friston, K. J. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00215 · Cited by 1,365
Object perception as Bayesian inference
Kersten, D., Mamassian, P., & Yuille, A. (2004) · Annual Review of Psychology · doi:10.1146/annurev.psych.55.090902.142005 · Cited by 1,269
Nolte, G. (2003) · Physics in Medicine and Biology · doi:10.1088/0031-9155/48/22/002 · Cited by 1,140
Cortical oscillations and sensory predictions
Arnal, L. H., & Giraud, A.-L. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.05.003 · Cited by 1,114
Permutation tests for multi-factorial analysis of variance
Anderson, M. J., & ter Braak, C. J. F. (2003) · Journal of Statistical Computation and Simulation · doi:10.1080/00949650215733 · Cited by 1,112
On the computational architecture of the neocortex: II The role of cortico-cortical loops
Mumford, D. (1992) · Biological Cybernetics · doi:10.1007/bf00198477 · Cited by 1,074
The structural basis of inter-individual differences in human behaviour and cognition
Kanai, R., & Rees, G. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn3000 · Cited by 1,055
Hawkins, J., & Blakeslee, S. (2004) · Cited by 1,012
An Area Specialized for Spatial Working Memory in Human Frontal Cortex
Courtney, S. M., Petit, L., Maisog, J. M., Ungerleider, L. G., & Haxby, J. V. (1998) · Science · doi:10.1126/science.279.5355.1347 · Cited by 950
On the computational architecture of the neocortex: I. The role of the thalamo-cortical loop
Mumford, D. (1991) · Biological Cybernetics · doi:10.1007/bf00202389 · Cited by 929
Upside‐down faces: A review of the effect of inversion upon face recognition
Valentine, T. (1988) · British Journal of Psychology · doi:10.1111/j.2044-8295.1988.tb02747.x · Cited by 910
The Computational Anatomy of Psychosis
Adams, R. A., Stephan, K. E., Brown, H. R., Frith, C. D., & Friston, K. J. (2013) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2013.00047 · Cited by 850 · cited 1×
“Thus, the stronger behavioral effect of the violation of the orientation prior is in line with a precision-weighting of PEs (Friston and Kiebel, 2009; Adams et al., 2013) based on the higher precision of the orientation prior than the illumination prior.”
BackgroundGood practice for conducting and reporting MEG research
Groß, J., Baillet, S., Barnes, G. R., Henson, R. N., Hillebrand, A., Jensen, O. B., Jerbi, K., Vladimir Litvak, A., Maeß, B., Oostenveld, R., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.10.001 · Cited by 750
Self-citationHow does nature program neuron types?
Borst, A. (2008) · Frontiers in Neuroscience · doi:10.3389/neuro.01.016.2008 · Cited by 705
Laminar differences in gamma and alpha coherence in the ventral stream
Buffalo, E. A., Fries, P., Landman, R., Buschman, T. J., & Desimone, R. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1011284108 · Cited by 606
Computer Vision and Pattern Recognition: CVPR 92
Brill, M. H. (1992) · Color Research & Application · doi:10.1002/col.5080170616 · Cited by 574
Ciaramelli, E., Grady, C. L., & Moscovitch, M. (2008) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2008.03.022 · Cited by 534
Localizing human visual gamma-band activity in frequency, time and space
Hoogenboom, N., Schoffelen, J., Oostenveld, R., Parkes, L. M., & Fries, P. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.08.043 · Cited by 477
Grossberg, S. (2013) · Neural Networks · doi:10.1016/j.neunet.2012.09.017 · Cited by 410
Prior expectation mediates neural adaptation to repeated sounds in the auditory cortex: an MEG study
Todorovic, A., van Ede, F., Maris, E., & de Lange, F. P. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.1425-11.2011 · Cited by 391 · cited 1×
“First evidence for PE signaling in GBA has been provided in recent MEG studies (Arnal et al., 2011; Todorovic et al., 2011; Bauer et al., 2014).”
ResultFink, G. R. (1997) · Brain · doi:10.1093/brain/120.10.1779 · Cited by 378
Experience can change the 'light-from-above' prior
Adams, W. J., Graf, E. W., & Ernst, M. O. (2004) · Nature Neuroscience · doi:10.1038/nn1312 · Cited by 377
Transitions in neural oscillations reflect prediction errors generated in audiovisual speech
Arnal, L. H., Wyart, V., & Giraud, A.-L. (2011) · Nature Neuroscience · doi:10.1038/nn.2810 · Cited by 353
Age in the development of closure ability in children.
Mooney, C. M. (1957) · Canadian Journal of Psychology/Revue Canadienne de Psychologie · doi:10.1037/h0083717 · Cited by 348
Selectivity for Complex Shapes in Primate Visual Area V2
Hegdé, J., & Essen, D. C. V. (2000) · Journal of Neuroscience · doi:10.1523/jneurosci.20-05-j0001.2000 · Cited by 329
Barone, P., Batardiere, A., Knoblauch, K., & Kennedy, H. (2000) · The Journal of Neuroscience · doi:10.1523/jneurosci.20-09-03263.2000 · Cited by 300
Sun, J., & Perona, P. (1998) · Nature Neuroscience · doi:10.1038/630 · Cited by 293
Nunez, P. L., & Srinivasan, R. (2006) · Clinical Neurophysiology · doi:10.1016/j.clinph.2006.06.754 · Cited by 281
Integration of Local Features into Global Shapes
Kourtzi, Z., Tolias, A. S., Altmann, C. F., Augath, M. A., & Logothetis, N. K. (2003) · Neuron · doi:10.1016/s0896-6273(02)01174-1 · Cited by 280
The effect of viewpoint on perceived visual roughness
Ho, Y.-X., Maloney, L. T., & Landy, M. S. (2007) · Journal of Vision · doi:10.1167/7.1.1 · Cited by 277
Optimising experimental design for MEG beamformer imaging
Brookes, M. J., Vrba, J., Robinson, S. E., Stevenson, C. M., Peters, A. M., Barnes, G. R., Hillebrand, A., & Morris, P. G. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.09.050 · Cited by 231
Attentional Modulation of Alpha/Beta and Gamma Oscillations Reflect Functionally Distinct Processes
Bauer, M., Stenner, M.-P., Friston, K. J., & Dolan, R. J. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.3474-13.2014 · Cited by 224
Brookes, M. J., Gibson, A. M., Hall, S. D., Furlong, P. L., Barnes, G. R., Hillebrand, A., Singh, K. D., Holliday, I. E., Francis, S. T., & Morris, P. G. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.01.050 · Cited by 178
Reconciling predictive coding and biased competition models of cortical function
Spratling, M. W. (2008) · Frontiers in Computational Neuroscience · doi:10.3389/neuro.10.004.2008 · Cited by 153
Commonalities and Differences Among Vectorized Beamformers in Electromagnetic Source Imaging
Huang, M.-X., Shih, J. J., Lee, R. R., Harrington, D. L., Thoma, R. J., Weisend, M. P., Hanlon, F., Paulson, K. M., Li, T., Martin, K., et al. (2004) · Brain Topography · doi:10.1023/b:brat.0000019183.92439.51 · Cited by 140
ConTrack: Finding the most likely pathways between brain regions using diffusion tractography
Sherbondy, A. J., Dougherty, R. F., Ben‐Shachar, M., Napel, S. A., & Wandell, B. A. (2008) · Journal of Vision · doi:10.1167/8.9.15 · Cited by 126
Recovery of 3D volume from 2-tone images of novel objects
Moore, C., & Cavanagh, P. (1998) · Cognition · doi:10.1016/s0010-0277(98)00014-6 · Cited by 125
Carpenter, G. A., & Grossberg, S. (2017) · Encyclopedia of Machine Learning and Data Mining · doi:10.1007/978-1-4899-7687-1_6 · Cited by 121
What Makes a Cell Face Selective? The Importance of Contrast
Ohayon, S., Freiwald, W. A., & Tsao, D. Y. (2012) · Neuron · doi:10.1016/j.neuron.2012.03.024 · Cited by 118
Permutation tests for factorially designed neuroimaging experiments
John Suckling, A., & Bullmore, E. T. (2004) · Human Brain Mapping · doi:10.1002/hbm.20027 · Cited by 94
Cortical Areas Related to Attention to 3D Surface Structures Based on Shading: An fMRI Study
Taira, M., Nose, I., Inoue, K., & Tsutsui, K. (2001) · NeuroImage · doi:10.1006/nimg.2001.0895 · Cited by 90
Visually induced gamma-band activity predicts speed of change detection in humans
Hoogenboom, N., Schoffelen, J., Oostenveld, R., & Fries, P. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.041 · Cited by 86
Integration of local features into global shapes: monkey and human fMRI studies
Kourtzi, Z., Tolias, A. S., Altmann, C. F., Augath, M. A., & Logothetis, N. K. (2010) · Journal of Vision · doi:10.1167/3.9.191 · Cited by 85
Towards a unified theory of neocortex: laminar cortical circuits for vision and cognition
Grossberg, S. (2007) · Progress in brain research · doi:10.1016/s0079-6123(06)65006-1 · Cited by 82
Coherent Infomax as a Computational Goal for Neural Systems
Kay, J., & Phillips, W. A. (2010) · Bulletin of Mathematical Biology · doi:10.1007/s11538-010-9564-x · Cited by 80
Mooney, C. M., & Ferguson, G. A. (1951) · Canadian Journal of Psychology/Revue Canadienne de Psychologie · doi:10.1037/h0083540 · Cited by 78
Neuroelectromagnetic correlates of perceptual closure processes
Grutzner, C., Uhlhaas, P. J., Genc, E., Kohler, A., Singer, W., & Wibral, M. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.5434-09.2010 · Cited by 77
Self-citationA common light-prior for visual search, shape, and reflectance judgments
Adams, W. J. (2007) · Journal of Vision · doi:10.1167/7.11.11 · Cited by 74
Prior knowledge of illumination for 3D perception in the human brain
Gerardin, P., Kourtzi, Z., & Mamassian, P. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1006285107 · Cited by 57
Carpenter, G. A., & Grossberg, S. (2016) · Encyclopedia of Machine Learning and Data Mining · doi:10.1007/978-1-4899-7502-7_6-1 · Cited by 49
From local to global: Cortical dynamics of contour integration
Tanskanen, T., Saarinen, J., Parkkonen, L. T., & Hari, R. (2008) · Journal of Vision · doi:10.1167/8.7.15 · Cited by 44
Visual areas become less engaged in associative recall following memory stabilization
Nieuwenhuis, I. L. C., Takashima, A., Oostenveld, R., Fernández, G., & Jensen, O. B. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.12.052 · Cited by 30
3D shape reconstruction of Mooney faces
Kemelmacher-Shlizerman, I., Basri, R., & Nadler, B. (2008) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2008.4587769 · Cited by 22
XLII.—On the Conversion of Relief by Inverted Vision
Brewster, D. (1844) · Transactions of the Royal Society of Edinburgh · doi:10.1017/s0080456800030234 · Cited by 22
Research works printed but not linked: 1
- Cavanagh P (1991) What's up in top-down processing? In: Representations of vision: trends and tacit assumptions in vision research (Gorea A, ed), pp 295-304. Cambridge, UK: Cambridge UP.
Cited by
Sorted by citations
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review