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Yi Fang Hsu

Researcher at National Taiwan Normal University

Publications -  29
Citations -  377

Yi Fang Hsu is an academic researcher from National Taiwan Normal University. The author has contributed to research in topics: Electroencephalography & Context (language use). The author has an hindex of 11, co-authored 29 publications receiving 328 citations. Previous affiliations of Yi Fang Hsu include Centre national de la recherche scientifique & Paris Descartes University.

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Both attention and prediction are necessary for adaptive neuronal tuning in sensory processing.

TL;DR: It is found that attention and prediction interacted on the amplitude of the N1 ERP component, which suggested that prediction might provide an anchor for the modulation of the synaptic input strengths which needs to be operated on the basis of attention.
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Distinctive Representation of Mispredicted and Unpredicted Prediction Errors in Human Electroencephalography.

TL;DR: The results will influence the design of experiments on the predictive coding mechanism, in which the contrast between predicted and “nonpredicted” conditions should be specifically defined to reveal the prediction error proper.
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Repetition suppression comprises both attention-independent and attention-dependent processes

TL;DR: The results show that repetition suppression comprises both attention-independent and attention-dependent components.
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Temporal expectation and spectral expectation operate in distinct fashion on neuronal populations.

TL;DR: It is found that reaction time was shorter when targets were temporally expected than when they were temporal unexpected, and this results support the idea that temporal expectation and spectral expectation operate in distinct fashion on neuronal populations.
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The time course of symbolic number adaptation: Oscillatory EEG activity and event-related potential analysis

TL;DR: Electroencephalography is used to elucidate the time course of neural events in symbolic number adaptation and shows support for the hypothesis that numerical magnitude processing involves a succession of cognitive events.