Year |
Citation |
Score |
2023 |
Pace T, Koenig-Robert R, Pearson J. Different Mechanisms for Supporting Mental Imagery and Perceptual Representations: Modulation Versus Excitation. Psychological Science. 9567976231198435. PMID 37782827 DOI: 10.1177/09567976231198435 |
0.506 |
|
2023 |
Koenig-Robert R, El Omar H, Pearson J. Implicit bias training can remove bias from subliminal stimuli, restoring choice divergence: A proof-of-concept study. Plos One. 18: e0289313. PMID 37506067 DOI: 10.1371/journal.pone.0289313 |
0.383 |
|
2021 |
Koenig-Robert R, Pearson J. Why do imagery and perception look and feel so different? Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 376: 20190703. PMID 33308061 DOI: 10.1098/rstb.2019.0703 |
0.5 |
|
2020 |
Koenig-Robert R, Pearson J. Decoding Nonconscious Thought Representations during Successful Thought Suppression. Journal of Cognitive Neuroscience. 1-13. PMID 32762524 DOI: 10.1162/Jocn_A_01617 |
0.54 |
|
2019 |
Gordon N, Tsuchiya N, Koenig-Robert R, Hohwy J. Expectation and attention increase the integration of top-down and bottom-up signals in perception through different pathways. Plos Biology. 17: e3000233. PMID 31039146 DOI: 10.1371/Journal.Pbio.3000233 |
0.637 |
|
2019 |
Kwok EL, Leys G, Koenig-Robert R, Pearson J. Measuring Thought-Control Failure: Sensory Mechanisms and Individual Differences. Psychological Science. 956797619837204. PMID 31009590 DOI: 10.1177/0956797619837204 |
0.489 |
|
2019 |
Koenig-Robert R, Pearson J. Decoding the contents and strength of imagery before volitional engagement. Scientific Reports. 9: 3504. PMID 30837493 DOI: 10.1038/S41598-019-39813-Y |
0.595 |
|
2017 |
Gordon N, Koenig-Robert R, Tsuchiya N, van Boxtel J, Hohwy J. Neural markers of predictive coding under perceptual uncertainty revealed with Hierarchical Frequency Tagging. Elife. 6. PMID 28244874 DOI: 10.7554/Elife.22749 |
0.656 |
|
2017 |
Gordon N, Koenig-Robert R, Tsuchiya N, Boxtel JJv, Hohwy J. Author response: Neural markers of predictive coding under perceptual uncertainty revealed with Hierarchical Frequency Tagging Elife. DOI: 10.7554/Elife.22749.013 |
0.63 |
|
2015 |
Koenig-Robert R, VanRullen R, Tsuchiya N. Semantic Wavelet-Induced Frequency-Tagging (SWIFT) Periodically Activates Category Selective Areas While Steadily Activating Early Visual Areas. Plos One. 10: e0144858. PMID 26691722 DOI: 10.1371/Journal.Pone.0144858 |
0.547 |
|
2013 |
Koenig-Robert R, VanRullen R. SWIFT: a novel method to track the neural correlates of recognition. Neuroimage. 81: 273-82. PMID 23664953 DOI: 10.1016/J.Neuroimage.2013.04.116 |
0.356 |
|
2012 |
Koenig-Robert R, VanRullen R. Semantic Wavelet-Induced Frequency Tagging (SWIFT) tracks perceptual awareness alternations in an all-or-none fashion. Journal of Vision. 12: 114-114. DOI: 10.1167/12.9.114 |
0.331 |
|
2011 |
Koenig-Robert R, Vanrullen R. Spatiotemporal mapping of visual attention. Journal of Vision. 11. PMID 22159826 DOI: 10.1167/11.14.12 |
0.345 |
|
2011 |
Koenig-Robert R, VanRullen R. Frequency-tagging object awareness F1000research. 11: 882-882. DOI: 10.7490/F1000Research.1268.1 |
0.313 |
|
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