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Showing results 1 to 7 of 7

1
A Computational Model of Attention Control in Multi-Attribute, Context-Dependent Decision Making

Jung, Kanghoon; Jeong, Jaeseung; Kralik, Jerald D., FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, v.13, 2019-07

2
Electrophysiological Responses to Rapidly-Presented Affective Stimuli Predict Individual Differences in Subsequent Attention

Song, Ha Neul; Oh, Sewon; Lee, Sang Ah, ENEURO, v.9, no.1, 2022-01

3
Influence of moving background on line bisection performance in the normal elderly versus patients with hemispatial neglect

Choi, KM; Lee, BH; Lee, SC; Ku, BD; Kim, EJ; Suh, MK; Jeong, Yong; et al, AMERICAN JOURNAL OF PHYSICAL MEDICINE & REHABILITATION, v.86, pp.515 - 526, 2007-07

4
Nonuniformity of Whole-Cerebral Neural Resource Allocation, a Neuromarker of the Broad-Task Attention

Chung, Jinyong; Lee, Peter; Lee, Young-Beom; Yoo, Kwangsun; Jeong, Yong, ENEURO, v.9, no.2, 2022-03

5
Predicting Ischemic Stroke in Patients with Atrial Fibrillation Using Machine Learning

Jung, Seonwoo; Song, Min-Keun; Lee, Eunjoo; Bae, Sejin; Kim, Yeon-Yong; Lee, Doheon; Lee, Myoung Jin; et al, FRONTIERS IN BIOSCIENCE-LANDMARK, v.27, no.3, 2022-03

6
Spatial attentional bias in normal people: Object or viewer-centered

Drago, Valeria; Crucian, Gregory P.; FitzGerald, David B.; Jeong, Yong; Finney, Glen R.; Heilman, Kenneth M., CORTEX, v.44, no.2, pp.196 - 199, 2008-02

7
The influence of illusory motion on line bisection performance in normal subjects

Choi, KM; Ku, BD; Jeong, Yong; Lee, BH; Ahn, HJ; Kang, SJ; Chin, J; et al, JOURNAL OF THE INTERNATIONAL NEUROPSYCHOLOGICAL SOCIETY, v.11, pp.881 - 888, 2005-11

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