科研成果 by Year: 2017

2017
Kuai, S. G., Li, W., Yu, C., & Kourtzi, Z. (2017). Contour Integration over Time: Psychophysical and fMRI Evidence. Cerebral Cortex, 27, 3042-3051. 访问链接Abstract
The brain integrates discrete but collinear stimuli to perceive global contours. Previous contour integration (CI) studies mainly focus on integration over space, and CI is attributed to either V1 long-range connections or contour processing in high-visual areas that top-down modulate V1 responses. Here, we show that CI also occurs over time in a design that minimizes the roles of V1 long-range interactions. We use tilted contours embedded in random orientation noise and moving horizontally behind a fixed vertical slit. Individual contour elements traveling up/down within the slit would be encoded over time by parallel, rather than aligned, V1 neurons. However, we find robust contour detection even when the slit permits only one viewable contour element. Similar to CI over space, CI over time also obeys the rule of collinearity. fMRI evidence shows that while CI over space engages visual areas as early as V1, CI over time mainly engages higher dorsal and ventral visual areas involved in shape processing, as well as posterior parietal regions involved in visual memory that can represent the orientation of temporally integrated contours. These results suggest at least partially dissociable mechanisms for implementing the Gestalt rule of continuity in CI over space and time.
Han, Q. M., Cong, L. J., Yu, C., & Liu, L. (2017). Developing a Logarithmic Chinese Reading Acuity Chart. Optometry and Vision Science, 94, 714-724. 访问链接Abstract
PURPOSE: An individual's reading ability cannot be reliably predicted from his/her letter acuity, contrast sensitivity, and visual field extent. We developed a set of Chinese reading acuity charts (C-READ) to assess the reading ability of Chinese readers, based on the collective wisdom of previously published reading acuity charts, especially the MNRead and the Radner Reading Charts. METHODS: The C-READ consists of three charts. Each consists sixteen 12-character simplified Chinese sentences crafted from first- to third-grade textbooks. One hundred eighteen native Chinese-speaking college students (aged 22.1 +/- 2.1 years) with normal or corrected to normal near vision (-0.26 +/- 0.05 logMAR) were included in the study to develop the C-READ charts, to test the homogeneity of the three charts, and to validate the C-READ against the text paragraphs from the International Reading Speed Texts (IReST) with corrected and uncorrected near vision. RESULTS: The reading acuity, critical print size, and maximum reading speed for young normal native Chinese-speaking readers were 0.16 +/- 0.05 logMAR, 0.24 +/- 0.06 logMAR, and 273.44 +/- 34.37 characters per minute (mean +/- SD), respectively. The reliability test revealed no significant differences among the three C-READ charts and no significant test order effect in the three reading parameters. Regression analyses showed that the IReST reading speed could be reliably predicted by the C-READ maximum reading speed under the corrected near-vision condition (adjusted R = 0.72) and by C-READ maximum reading speed and critical print size under the uncorrected near-vision condition (adjusted R = 0.69). CONCLUSIONS: The three C-READ charts are very comparable to each other, and there is no significant order effect. Reading test results can accurately predict continuous text reading performance quantified by the IReST reading speed over a wide range of refractive errors. The C-READ is a reliable and valid clinical instrument for quantifying reading performance in simplified Chinese readers.