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2025 Other Outputs Twinkle-Goes Illusion Data - The extrapolation data (ms) for Experiment 1Blake W. Saurels and Derek H. Arnold (2025). Twinkle-Goes Illusion Data - The extrapolation data (ms) for Experiment 1. The University of Queensland. (Dataset) doi: 10.48610/553b99c |
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2025 Other Outputs DATA FOR: Repetition violating events do not enhance sensitivity to embedded content, but repeated events can reduce sensitivity - UpdatedSaurels, Blake and Arnold, Derek (2025). DATA FOR: Repetition violating events do not enhance sensitivity to embedded content, but repeated events can reduce sensitivity - Updated. The University of Queensland. (Dataset) doi: 10.48610/0747161 |
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2024 Other Outputs Binocular rivalry and imageryBouyer, Loren N., Schwarzkopf, Dietrich S., Saurels, Blake W. and Arnold, Derek H. (2024). Binocular rivalry and imagery. The University of Queensland. (Dataset) doi: 10.48610/00effb3 |
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2024 Other Outputs Pink Elephants ProjectArnold, Derek H., Bouyer, Loren N. and Saurels, Blake W. (2024). Pink Elephants Project. The University of Queensland. (Dataset) doi: 10.48610/8c236f2 |
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2024 Other Outputs DATA FOR PAPER: Repetition violating events do not enhance sensitivity to embedded content, but repeated events can reduce sensitivity - SupersededSaurels, Blake (2024). DATA FOR PAPER: Repetition violating events do not enhance sensitivity to embedded content, but repeated events can reduce sensitivity - Superseded. The University of Queensland. (Dataset) doi: 10.48610/0fe383a |
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2023 Other Outputs Enhanced electrophysiological responses to explicitly predicted and pre-imagined inputs, with confirmation from online decoding with neuro-feedbackArnold, Derek H., Saurels, Blake W. and Electricity, Felicity (2023). Enhanced electrophysiological responses to explicitly predicted and pre-imagined inputs, with confirmation from online decoding with neuro-feedback. The University of Queensland. (Dataset) doi: 10.48610/c774dd1 |
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2023 Other Outputs Event probabilities dataSaurels, Blake and Arnold, Derek (2023). Event probabilities data. The University of Queensland. (Dataset) doi: 10.48610/498a039 |
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2022 Other Outputs The perceptual and neural consequences of different types of predictionSaurels, Blake William (2022). The perceptual and neural consequences of different types of prediction. PhD Thesis, School of Psychology, The University of Queensland. doi: 10.14264/f42bfbd |
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2021 Other Outputs Experiment 2 Raw EEG Data: different types of predictionSaurels, Blake, Arnold, Derek and Lipp, Ottmar (2021). Experiment 2 Raw EEG Data: different types of prediction. The University of Queensland. (Dataset) doi: 10.48610/a8b0604 |
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2021 Other Outputs Different types of Prediction EEG dataSaurels, Blake, Arnold, Derek and Lipp, Otmar (2021). Different types of Prediction EEG data. The University of Queensland. (Collection) doi: 10.48610/ad94a19 |
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2021 Other Outputs README file for datasets associated with the projectSaurels, Blake, Arnold, Derek and Lipp, Ottmar (2021). README file for datasets associated with the project. The University of Queensland. (Dataset) doi: 10.48610/9e79486 |
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2021 Other Outputs Condensed data for: Neural prediction errors depend on how an expectation was formedSaurels, Blake, Arnold, Derek and Lipp, Ottmar (2021). Condensed data for: Neural prediction errors depend on how an expectation was formed. The University of Queensland. (Dataset) doi: 10.48610/204757f |
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2021 Other Outputs Experiment 1 Raw EEG Data: different types of predictionSaurels, Blake, Arnold, Derek and Lipp, Ottmar (2021). Experiment 1 Raw EEG Data: different types of prediction. The University of Queensland. (Dataset) doi: 10.48610/c7a442e |
