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A Dynamic Interplay within the Frontoparietal Network Underlies Rhythmic Spatial Attention
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Classic studies of spatial attention assumed that its neural and behavioral effects were continuous over time. Recent behavioral studies have instead revealed that spatial attention leads to alternating periods of heightened or diminished perceptual sensitivity. Yet, the neural basis of these rhythmic fluctuations has remained largely unknown. We show that a dynamic interplay within the macaque frontoparietal network accounts for the rhythmic properties of spatial attention. Neural oscillations characterize functional interactions between the frontal eye fields (FEF) and the lateral intraparietal area (LIP), with theta phase (3-8 Hz) coordinating two rhythmically alternating states. The first is defined by FEF-dominated beta-band activity, associated with suppressed attentional shifts, and LIP-dominated gamma-band activity, associated with enhanced visual processing and better behavioral performance. The second is defined by LIP-specific alpha-band activity, associated with attenuated visual processing and worse behavioral performance. Our findings reveal how network-level interactions organize environmental sampling into rhythmic cycles.
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“Recent evidence has shown that fronto-parietal theta appears to set a clocking rhythm for oscillations at other frequencies such as alpha during rhythmic alternations between attention and ignoring—a phenomenon referred to as “theta-dependent” perceptual sampling87.”
From Paying attention to attention in depression (2019) · cites this paper as [87]
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Cites
Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W., & Smith, S. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.015 · Cited by 11,314
AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496
Oostenveld, R., Fries, P., Maris, E., & Schoffelen, J.-M. (2011) · Computational Intelligence and Neuroscience · doi:10.1155/2011/156869 · Cited by 10,323
Posner, M. I. (1980) · Quarterly Journal of Experimental Psychology · doi:10.1080/00335558008248231 · Cited by 9,670
Modulation 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
Rhythms for cognition: communication through coherence
Fries, P. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.034 · Cited by 2,725
High Gamma Power Is Phase-Locked to Theta Oscillations in Human Neocortex
Canolty, R. T., Edwards, E., Dalal, S. S., Soltani, M., Nagarajan, S. S., Kirsch, H. E., Berger, M. S., Barbaro, N. M., & Knight, R. T. (2006) · Science · doi:10.1126/science.1128115 · Cited by 2,650
Selective Attention Gates Visual Processing in the Extrastriate Cortex
Moran, J., & Desimone, R. (1985) · Science · doi:10.1126/science.4023713 · Cited by 2,433
Top-Down Versus Bottom-Up Control of Attention in the Prefrontal and Posterior Parietal Cortices
Buschman, T. J., & Miller, E. K. (2007) · Science · doi:10.1126/science.1138071 · Cited by 2,380
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Davis, Z. W., Muller, L., Martínez-Trujillo, J., B, T. J. S. A., & Reynolds, J. H. (2020) · Nature · doi:10.1038/s41586-020-2802-y · Cited by 251
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Fiebelkorn, I. C., & Kästner, S. (2019) · Annual Review of Psychology · doi:10.1146/annurev-psych-010418-103429 · Cited by 231
Self-citationFiebelkorn, I. C., Pinsk, M. A., & Kästner, S. (2019) · Nature Communications · doi:10.1038/s41467-018-08151-4 · Cited by 179
Self-citationParr, T., & Friston, K. J. (2018) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2018.10.006 · Cited by 174
Lundqvist, M., Miller, E. K., Nordmark, J., Liljefors, J., & Herman, P. A. (2024) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2024.03.010 · Cited by 189
Morillon, B., Arnal, L. H., Schroeder, C. E., & Keitel, A. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.09.012 · Cited by 169
Synchronisation of Neural Oscillations and Cross-modal Influences
Bauer, A. R., Debener, S., & Nobre, A. C. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.03.003 · Cited by 137
Neural entrainment and network resonance in support of top-down guided attention
Helfrich, R. F., Breska, A., & Knight, R. T. (2019) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2018.12.016 · Cited by 131
All in Good Time: Long-Lasting Postdictive Effects Reveal Discrete Perception
Herzog, M. H., Drissi-Daoudi, L., & Doerig, A. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.07.001 · Cited by 129
The primacy of behavioral research for understanding the brain.
Niv, Y. (2021) · Behavioral Neuroscience · doi:10.1037/bne0000471 · Cited by 124
Formalizing planning and information search in naturalistic decision-making
Hunt, L. T., Daw, N. D., Kaanders, P., MacIver, M. A., Mugan, U., Procyk, E., Redish, A. D., Russo, E., Scholl, J., Stachenfeld, K., et al. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00866-w · Cited by 112
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Re, D., Inbar, M., Richter, C. G., & Landau, A. N. (2019) · Current Biology · doi:10.1016/j.cub.2019.01.010 · Cited by 105
Midfrontal theta phase coordinates behaviorally relevant brain computations during cognitive control
Duprez, J., Gulbinaite, R., & Cohen, M. X. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116340 · Cited by 106
Mitsea, E., Drigas, A. S., & Skianis, C. A. (2022) · Technium Social Sciences Journal · doi:10.47577/tssj.v27i1.5599 · Cited by 110
Perceptual awareness and active inference
Parr, T., Corcoran, A. W., Friston, K. J., & Hohwy, J. (2019) · Neuroscience of Consciousness · doi:10.1093/nc/niz012 · Cited by 91
Rhythms in cognition: The evidence revisited
Keitel, C., Ruzzoli, M., Dugué, L., Busch, N. A., & Benwell, C. (2022) · European Journal of Neuroscience · doi:10.1111/ejn.15740 · Cited by 96
Prefrontal attentional saccades explore space rhythmically
Gaillard, C., Hassen, S. B. H., Bello, F. D., Bihan-Poudec, Y., Rufin Vanrullen, A., & Hamed, S. B. (2020) · Nature Communications · doi:10.1038/s41467-020-14649-7 · Cited by 81
Rufin Vanrullen, A. (2018) · Neuron · doi:10.1016/j.neuron.2018.08.006 · Cited by 80
Shestyuk, A. Y., Kasinathan, K., Karapoondinott, V., Knight, R. T., & Gurumoorthy, R. (2019) · PLoS ONE · doi:10.1371/journal.pone.0214507 · Cited by 78
Putative rhythms in attentional switching can be explained by aperiodic temporal structure
Brookshire, G. (2022) · Nature Human Behaviour · doi:10.1038/s41562-022-01364-0 · Cited by 88
Causal Evidence for the Role of Neuronal Oscillations in Top–Down and Bottom–Up Attention
Riddle, J., Hwang, K., Cellier, D., Dhanani, S., & D’Esposito, M. (2019) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01376 · Cited by 77
The Common Rhythm of Action and Perception
Benedetto, A., Morrone, M. C., & Tomassini, A. (2019) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01436 · Cited by 65
Theta-Rhythmic Oscillation of Working Memory Performance
Pomper, U., & Ulrich Ansorge, A. (2021) · Psychological Science · doi:10.1177/09567976211013045 · Cited by 65
Persiani, S. G. L., Kobaş, B., Koth, S. C., & Auer, T. (2021) · Energies · doi:10.3390/en14010232 · Cited by 67
Distinct contributions of alpha and theta rhythms to perceptual and attentional sampling
Michel, R., Dugué, L., & Busch, N. A. (2021) · European Journal of Neuroscience · doi:10.1111/ejn.15154 · Cited by 62
Brain state-based detection of attentional fluctuations and their modulation
Yamashita, A., Rothlein, D., Kucyi, A., Valera, E. M., & Esterman, M. S. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118072 · Cited by 70
Rapid coordination of effective learning by the human hippocampus
Kragel, J. E., Schuele, S., VanHaerents, S. A., Rosenow, J. M., & Voss, J. L. (2021) · Science Advances · doi:10.1126/sciadv.abf7144 · Cited by 61
Theta rhythmicity governs human behavior and hippocampal signals during memory-dependent tasks
Wal, M. T., Domingo, J. L., Lifanov, J., Roux, F., Kolibius, L. D., Gollwitzer, S., Lang, J., Hamer, H. M., Rollings, D. T., Sawlani, V., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-27323-3 · Cited by 62
The Role of Neuronal Oscillations in Visual Active Sensing
Leszczyński, M., & Schroeder, C. E. (2019) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2019.00032 · Cited by 55
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Senoussi, M., Moreland, J. C., Busch, N. A., & Dugué, L. (2019) · Journal of Vision · doi:10.1167/19.5.22 · Cited by 54
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Kästner, S., Fiebelkorn, I. C., & Eradath, M. K. (2020) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2020.08.002 · Cited by 49
Self-citationDynamic coupling of oscillatory neural activity and its roles in visual attention
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Keller, A. S., Davidesco, I., & Tanner, K. D. (2020) · CBE—Life Sciences Education · doi:10.1187/cbe.20-05-0106 · Cited by 61
Metastable neural dynamics underlies cognitive performance across multiple behavioural paradigms
Alderson, T. H., Bokde, A. L. W., Kelso, J. A. S., Maguire, L., & Coyle, D. (2020) · Human Brain Mapping · doi:10.1002/hbm.25009 · Cited by 56
The neural bases of spatial attention and perceptual rhythms
Gaillard, C., & Hamed, S. B. (2020) · European Journal of Neuroscience · doi:10.1111/ejn.15044 · Cited by 60
Rhythmic sampling revisited: Experimental paradigms and neural mechanisms
Kienitz, R., Schmid, M. C., & Dugué, L. (2021) · European Journal of Neuroscience · doi:10.1111/ejn.15489 · Cited by 55
Law, R. G., Pugliese, S., Shin, H., Sliva, D. D., Lee, S., Neymotin, S., Moore, C., & Jones, S. R. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhab221 · Cited by 41
Deep Predictive Learning in Neocortex and Pulvinar
O’Reilly, R. C., Russin, J., Zolfaghar, M., & Rohrlich, J. (2021) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01708 · Cited by 49
Sutterer, D. W., Foster, J., Adam, K. C. S., Vogel, E., & Awh, E. (2019) · PLoS Biology · doi:10.1371/journal.pbio.3000239 · Cited by 40
Wilsch, A., Mercier, M. R., Obleser, J., Schroeder, C. E., & Haegens, S. (2020) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01567 · Cited by 45
Modulation of Individual Alpha Frequency with tACS shifts Time Perception
Mioni, G., Shelp, A., Stanfield-Wiswell, C., Gladhill, K. A., Bader, F., & Wiener, M. (2020) · Cerebral Cortex Communications · doi:10.1093/texcom/tgaa064 · Cited by 44
Toward a theory of consciousness: A review of the neural correlates of inattentional blindness
Hutchinson, B. T. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.06.003 · Cited by 45
Replacing tDCS with theta tACS provides selective, but not general WM benefits
Jones, K. T., Arciniega, H., & Berryhill, M. E. (2019) · Brain Research · doi:10.1016/j.brainres.2019.146324 · Cited by 50
Object-based attention prioritizes working memory contents at a theta rhythm.
Peters, B., Kaiser, J., Rahm, B., & Bledowski, C. (2020) · Journal of Experimental Psychology General · doi:10.1037/xge0000994 · Cited by 44
Jia, J., Fang, F., & Luo, H. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.05.079 · Cited by 42
Sub-second dynamics of theta-gamma coupling in hippocampal CA1
Zhang, L., Lee, J., Rozell, C. J., & Singer, A. C. (2019) · eLife · doi:10.7554/elife.44320 · Cited by 48
Mo, C., Lu, J., Wu, B., Jia, J., Luo, H., & Fang, F. (2019) · Nature Communications · doi:10.1038/s41467-019-13282-3 · Cited by 42
Rhythms of human attention and memory: An embedded process perspective
Köster, M., & Gruber, T. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.905837 · Cited by 44
Spectral Imprints of Working Memory for Everyday Associations in the Frontoparietal Network
Johnson, E. L., King‐Stephens, D., Weber, P. B., Laxer, K. D., Lin, J. J., & Knight, R. T. (2019) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2018.00065 · Cited by 44
Common and distinct neural mechanisms of attention
Xia, R., Chen, X., Engel, T. A., & Moore, T. (2024) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2024.01.005 · Cited by 47
Intermittent rate coding and cue-specific ensembles support working memory
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de Graaf, T. A., Thomson, A. C., Janssens, S. E. W., van Bree, S., ten Oever, S., & Sack, A. T. (2020) · European Journal of Neuroscience · doi:10.1111/ejn.14677 · Cited by 35
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Self-citationAttentional sampling of visual and auditory objects is captured by theta‐modulated neural activity
Plöchl, M., Fiebelkorn, I. C., Kästner, S., & Obleser, J. (2021) · European Journal of Neuroscience · doi:10.1111/ejn.15514 · Cited by 37
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Ronconi, L., Vitale, A., Federici, A., Pini, E., Molteni, M., & Casartelli, L. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102484 · Cited by 45
Attention periodically samples competing stimuli during binocular rivalry
Davidson, M., Alais, D., Tsuchiya, N., & van Boxtel, J. J. A. (2018) · eLife · doi:10.7554/elife.40868 · Cited by 35
Snyder, A. C., Yu, B. M., & Smith, M. A. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0608-21.2021 · Cited by 30
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Nobre, A. C., & Gresch, D. (2025) · Neuron · doi:10.1016/j.neuron.2025.06.013 · Cited by 47
Attention rhythmically samples multi-feature objects in working memory
Chota, S., Leto, C., Zantwijk, L. V., & der Stigchel, S. V. (2022) · Scientific Reports · doi:10.1038/s41598-022-18819-z · Cited by 32
Suchy-Dicey, C. (2022) · Cambridge University Press eBooks · doi:10.1017/9781108982269 · Cited by 33
Vigué‐Guix, I., Fernández, L. M., Cuello, M. T., Ruzzoli, M., & Soto‐Faraco, S. (2020) · European Journal of Neuroscience · doi:10.1111/ejn.14931 · Cited by 31
Modelling behaviors relevant to brain disorders in the nonhuman primate: Are we there yet?
Scott, J. T., & Bourne, J. A. (2021) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2021.102183 · Cited by 31
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Bello, F. D., Hassen, S. B. H., Ästrand, E., & Hamed, S. B. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab378 · Cited by 35
Han, H.-B., Lee, K. E., & Choi, J. H. (2019) · eNeuro · doi:10.1523/eneuro.0248-19.2019 · Cited by 29
Balestrieri, E., Ronconi, L., & Melcher, D. (2021) · European Journal of Neuroscience · doi:10.1111/ejn.15264 · Cited by 29
Pop-out search instigates beta-gated feature selectivity enhancement across V4 layers
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Loriette, C., Amengual, J. L., & Hamed, S. B. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.811736 · Cited by 32
Zareian, B., Maboudi, K., Daliri, M. R., Moghaddam, H. A., Treue, S., & Esghaei, M. (2020) · Scientific Reports · doi:10.1038/s41598-020-61359-7 · Cited by 28
Chen, G., & Gong, P. (2022) · Science Advances · doi:10.1126/sciadv.abl4995 · Cited by 28
Dubey, A., Markowitz, D. A., & Pesaran, B. (2023) · Neuron · doi:10.1016/j.neuron.2023.06.025 · Cited by 33
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Oleson, E. B., Hamilton, L. R., & Gomez, D. M. (2021) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2021.660218 · Cited by 28
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Spadone, S., Betti, V., Sestieri, C., Pizzella, V., Corbetta, M., & Penna, S. D. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118616 · Cited by 31
A hidden Markov model for analyzing eye-tracking of moving objects
Kim, J., Singh, S. K., Thiessen, E. D., & Fisher, A. V. (2020) · Behavior Research Methods · doi:10.3758/s13428-019-01313-2 · Cited by 27
Mitchell, A. S., Hartig, R., Basso, M. A., Jarrett, W., Kästner, S., & Poirier, C. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2020.117700 · Cited by 28
Vernet, M., Stengel, C., Quentin, R., Amengual, J. L., & Valero‐Cabré, A. (2019) · Scientific Reports · doi:10.1038/s41598-019-49673-1 · Cited by 25
Sun, W., Che, H., Li, J., Tang, D., Liu, X., Liu, W., & An, L. (2020) · Molecular Neurobiology · doi:10.1007/s12035-020-02051-9 · Cited by 24
Asanowicz, D., Panek, B., & Kotlewska, I. (2021) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01727 · Cited by 31
Coordinated multiplexing of information about separate objects in visual cortex
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Fields or firings? Comparing the spike code and the electromagnetic field hypothesis
Hunt, T., & Jones, M. W. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1029715 · Cited by 27
Shalev, N., Bauer, A. R., & Nobre, A. C. (2019) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2019.06.003 · Cited by 23
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Abdalaziz, M., Redding, Z. V., & Fiebelkorn, I. C. (2023) · Current Biology · doi:10.1016/j.cub.2023.03.088 · Cited by 21
Self-citationVisual detection is locked to the internal dynamics of cortico-motor control
Tomassini, A., Maris, E., Hilt, P. M., Fadiga, L., & D’Ausilio, A. (2020) · PLoS Biology · doi:10.1371/journal.pbio.3000898 · Cited by 22
Amengual, J. L., Bello, F. D., Hamed, S. B., & Hamed, S. B. (2022) · Nature Communications · doi:10.1038/s41467-022-32385-y · Cited by 20
Sousa, C. D., Gaillard, C., Bello, F. D., Hamed, S. B., & Hamed, S. B. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117853 · Cited by 22
Attention and Thalamocortical Interactions
Kästner, S., & Usrey, W. M. (2023) · Oxford University Press eBooks · doi:10.1093/med/9780197676158.003.0045 · Cited by 21
Metadata
- Authors
- Fiebelkorn, I. C., Pinsk, M. A., & Kastner, S.
- Affiliations
- Princeton University (US)
- Corresponding author
- Fiebelkorn, Ian C.
- ORCID
- Fiebelkorn, Ian C.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2018-08
- Volume
- 99
- Issue
- 4
- Pages
- 842-853.e8
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC6474777
- OpenAlex
- W2888110720
- Cited by
- 356
- References
- 94
- Citations by year
- 2026: 42 · 2025: 42 · 2024: 41 · 2023: 36 · 2022: 52 · 2021: 47 · 2020: 38 · 2019: 47 · 2018: 10
- FWCI
- 21.11
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NEI (F32EY023465, RO1EY017699, R21EY023565)
- NIMH (R01MH064063)
- Silvio O. Conte Center (1P50MH109429-01A1)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Keywords
- spatial attention, frontoparietal network, frontal eye field, lateral intraparietal area, neural oscillations, theta phase, beta activity, gamma oscillations, alpha activity, attentional shift, macaque, visual processing
- MeSH terms
- Action Potentials, Animals, Attention, Frontal Lobe, Macaca fascicularis, Male, Nerve Net, Parietal Lobe, Photic Stimulation, Psychomotor Performance, Theta 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 ›
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