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1
One model for the learning of language.
In: Proceedings of the National Academy of Sciences of the United States of America, vol 119, iss 5 (2022)
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2
One model for the learning of language
In: Proc Natl Acad Sci U S A (2022)
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3
Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid
In: J Med Internet Res (2021)
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4
Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource
In: J Am Med Inform Assoc (2020)
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5
A Light-Weight Text Summarization System for Fast Access to Medical Evidence
In: Front Digit Health (2020)
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6
Entwicklung interkultureller Handlungskompetenz : ein didaktisches Konzept für den Wirtschaftsdeutschunterricht in China am Beispiel des Einsatzes von Lernvideos
Yang, Yuan [Verfasser]. - München : Iudicium, 2019
DNB Subject Category Language
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7
Entwicklung interkultureller Handlungskompetenz. Ein didaktisches Konzept für den Wirtschaftsdeutschunterricht in China am Beispiel des Einsatzes von Lernvideos
Yang, Yuan [Verfasser]; Albert, Ruth [Akademischer Betreuer]. - Marburg : Philipps-Universität Marburg, 2019
DNB Subject Category Language
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8
Punctuation and Parallel Corpus Based Word Embedding Model for Low-Resource Languages
In: Information ; Volume 11 ; Issue 1 (2019)
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9
One Model for the Learning of Language ...
Yang, Yuan. - : arXiv, 2017
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10
Dynamic Functional Brain Connectivity for Face Perception
Yang, Yuan; Qiu, Yihong; Schouten, Alfred C.. - : Frontiers Media S.A., 2015
Abstract: Face perception is mediated by a distributed brain network comprised of the core system at occipito-temporal areas and the extended system at other relevant brain areas involving bilateral hemispheres. In this study we explored how the brain connectivity changes over the time for face-sensitive processing. We investigated the dynamic functional connectivity in face perception by analyzing time-dependent EEG phase synchronization in four different frequency bands: theta (4–7 Hz), alpha (8–14 Hz), beta (15–24 Hz), and gamma (25–45 Hz) bands in the early stages of face processing from 30 to 300 ms. High-density EEG were recorded from subjects who were passively viewing faces, buildings, and chairs. The dynamic connectivity within the core system and between the extended system were investigated. Significant differences between faces and non-faces mainly appear in theta band connectivity: (1) at the time segment of 90–120 ms between parietal area and occipito-temporal area in the right hemisphere, and (2) at the time segment of 150–180 ms between bilateral occipito-temporal areas. These results indicate (1) the importance of theta-band connectivity in the face-sensitive processing, and (2) that different parts of network are involved for the initial stage of face categorization and the stage of face structural encoding.
Keyword: Neuroscience
URL: https://doi.org/10.3389/fnhum.2015.00662
http://www.ncbi.nlm.nih.gov/pubmed/26696870
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4672064/
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