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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 3 of 3 1 Application of machine learning to signal entrainment identifies predictive processing in sign language. Borneman, Sean; Krebs, Julia; Wilbur, Ronnie B, Wilbur... In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021) BASE Show details 2 Application of machine learning to signal entrainment identifies predictive processing in sign language. ... 43rd Annual Meeting of the Cognitive Science Society 2021; Borneman, Sean; Krebs, Julia; Malaia, Evguenia; Wilbur, Ronnie. - : Underline Science Inc., 2021 Abstract: We present the first analysis of multi-frequency neural entrainment to dynamic visual features which drives sign language comprehension. Using the measure of EEG coherence to optical flow in video stimuli, we are able to classify fluent signers’ brain states as denoting online language comprehension, or non-comprehension during watching of non-linguistic videos that are equivalent in low-level spatiotemporal features and high-level scene parameters. The data also indicates that lower frequencies, such as 1 Hz and 4 Hz, contribute substantially to brain state classification, indicating relevance of neural coherence to the signal at these frequencies to language comprehension. These findings suggest that fluent signers rely on predictive processing during online comprehension. ... Keyword: Applied Developmental Psychology; Cognitive Linguistics; Cognitive Science; Developmental Psychology; Psycholinguistics URL: https://dx.doi.org/10.48448/qrpz-g642 https://underline.io/lecture/26627-application-of-machine-learning-to-signal-entrainment-identifies-predictive-processing-in-sign-language. BASE Hide details 3 Application of machine learning to signal entrainment identifies predictive processing in sign language. ... 43rd Annual Meeting of the Cognitive Science Society 2021; Borneman, Sean; Krebs, Julia. - : Underline Science Inc., 2021 BASE Show details

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