CRCNS Dataset: Interference of mid-level sound statistics predicts human speech recognition in natural noise

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CRCNS Dataset: Interference of mid-level sound statistics predicts human speech recognition in natural noise

Updated 3 weeks ago

Source data Manuscript ref.# NCOMMS-21-49031

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Contains materials pertaining to fetal cohort fMRI of developing Human Connectome Project. (The webpage is under construction)

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provashare

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Data processing pipeline

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Decision making data from freely moving recordings during a 4 choice test

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Neural effects of dopaminergic compounds revealed by multi-site electrophysiology and interpretable machine-learning

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Can Prediction Error Explain Predictability Effects on the N1 during Picture-Word Verification?

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Data from T. Eggert, A. Straube (2024) Conjugate and disconjugate components of horizontal fixation drift in acuity and stereo tasks. PlosOne

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EEG data of drivers exposed to noise

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