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Motohiro Kimura

Researcher at National Institute of Advanced Industrial Science and Technology

Publications -  61
Citations -  1711

Motohiro Kimura is an academic researcher from National Institute of Advanced Industrial Science and Technology. The author has contributed to research in topics: Mismatch negativity & Computer science. The author has an hindex of 22, co-authored 51 publications receiving 1498 citations. Previous affiliations of Motohiro Kimura include Nagoya University & Hokkaido University.

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Pulmonary hypertension as a prognostic indicator at the initial evaluation in idiopathic pulmonary fibrosis.

TL;DR: The current results suggested the importance of the initial evaluation of PH for patients with IPF and the body mass index, %FVC, %DLCO, baseline PaO2, modified Medical Research Council score, 6-minute walk distance, and lowest SpO2 of the 6-min walk test were significantly predictive of survival.
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Visual mismatch negativity: new evidence from the equiprobable paradigm.

TL;DR: The results suggest that the early negativity reflects refractory effect, while the late negativity reflects memory-comparison-based change detection effect (visual mismatch negativity).
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Visual mismatch negativity and its importance in visual cognitive sciences

TL;DR: This review paper on visual mismatch negativity (MMN), an event-related brain potential component, provides arguments in favor of its theoretical importance in visual cognitive sciences.
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Visual mismatch negativity and unintentional temporal-context-based prediction in vision.

TL;DR: A hypothetical model is put forward, which suggests that the unintentional prediction of forthcoming visual sensory events on the basis of abstract sequential rules embedded in the temporal context of visual stimulation might be implemented by a bi-directional cortical network that includes the visual and prefrontal areas.
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Unintentional Temporal Context–Based Prediction of Emotional Faces: An Electrophysiological Study

TL;DR: Zhang et al. as discussed by the authors demonstrated that upcoming emotional faces can be predicted based on sequential regularities, by showing that prediction error responses as reflected by visual mismatch negativity (MMN), an event-related brain potential (ERP) component, were evoked in response to emotional faces that violated a regular alternation pattern of two emotional faces (fearful and happy faces) under a situation where the emotional faces themselves were unrelated to the participant's task.