侯方

姓名

侯方

图片1.jpg

姓名拼音

Hou, Fang

单位 / 职务(可填多个)

温州医科大学眼视光学院,附属眼视光医院,生物医学工程学院

视觉信息处理与大脑可塑性课题组负责人

单位 / 职务 (英文)

PI, Lab of visual information processing and brain plasticity,

School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University

学历

博士研究生

中文简介:

 2004年毕业于中国科学技术大学,获得学士学位。2004年保送至中国科学技术大学生命科学学院硕博连读,师从周逸峰研究员,于2010年获得博士学位。2011年至2016年先后在美国南加州大学和美国俄亥俄州立大学心理系,跟随吕忠林教授进行博士后研究。2016年至今温州医科大学眼视光学院、附属眼视光医院、生物医学工程学院工作。研究兴趣集中在视觉神经系统的单双眼信息处理和可塑性机制、异常视觉系统的损伤机制及可能的恢复途径、立体视和物体识别,以及视觉功能标准化智能测量的方法学研究。其提出的多通道知觉模板模型和多通道对比度增益控制模型加深了人们对视觉信息处理机制的理解。其在弱视训练研究中的发现,为使用知觉学习作为成人弱视治疗的新方法提供了有力的实验证据支持。其工作对自适应视觉功能测试方法的改进大幅度地缩短了测试时间,对临床视功能眼病的诊断和治疗有着重大的意义。在Journal of VisionInvestigative Ophthalmology & Visual Science上发表论文16篇。近期的研究工作主要为立体视的信息处理机制和表征视觉健康的关键性视功能指标体系的建立。

英文简介

Fang Hou obtained a B.S. in life science from the University of Science and Technology of China in 2004 and a Ph.D. in biophysics from the University of Science and Technology of China in 2010. He has been working as a post-doc researcher with Professor Zhong-Lin Lu at department of psychology, University of Southern California (2011.2-2011.9), and at department of psychology, the Ohio State University (2011.10-2016.01). He joined Wenzhou Medical University in 2016.

His research focused on 1) the mechanisms of visual information processing, 2) perceptual learning and restoring the visual deficits for patients with impaired visual function, 3) binocular interaction, stereopsis and object recognition, and 4) applying Bayesian adaptive methods in quantitative and efficient measurement of visual functions. Dr. Hou is the active member of association of researches in vision science and ophthalmology (ARVO) and vision science society (VSS). His research articles have been published on Journal of Vision and Investigative Ophthalmology & Visual Science.

发言题目

(中文)

人眼对比敏感度的快速精准测量

发言题目

(英文)

Efficient assessment of human contrast sensitivity function

中英文摘要:

对比敏感度函数(CSF)反映的是视觉系统对不同空间频率的视觉刺激的敏感度,能够很好地刻画不同受试者不同状态的视觉功能,是非常重要的临床指标。但CSF的测试时间很长,阻碍了它在临床上的广泛应用。我们在Lesmes等人开发的quick CSF方法基础上,利用强制多选一任务(m-AFC)的心理测量函数性质,使用了10选一的字母/数字识别任务进一步提高quick CSF方法的测试效率。数字视标是针对东亚等不熟悉字母的人群专为对比敏感度测试开发。实验结果表明,基于10选一任务的quick CSF方法可在2分钟内测量得到CSF,平均标准差仅为0.10对数单位。ROC分析结果显示quick CSF方法仅用50个trials(5分钟)即可检测到中等幅度的(0.30对数单位)CSF变化,检测准确度达94%。在群组水平,使用效能分析方法,我们发现快速CSF方法能够在50 trials时发现轻微的(0.025对数单位)CSF变化。综上,我们提出的方法可以高效准确地测量受试者的对比敏感度函数。

英文摘要

The contrast sensitivity function (CSF) provides a fundamental characterization of spatial vision, important for basic and clinical applications, but its long testing times have prevented easy, widespread assessment. The original quick CSF method was developed using a two-alternative forced choice (2AFC) grating orientation identification task (Lesmes, Lu, Baek, & Albright, 2010), and obtained precise CSF assessments while reducing the testing burden. In this study, we attempt to further improve the efficiency of the quick CSF method by exploiting the properties of psychometric functions in multiple-alternative forced choice (m-AFC) tasks. Both letters and digits were used for 10AFC tasks. We specifically developed a new set of digit stimuli for those who are unfamiliar with letters. We found that The quick CSF method based on a 10AFC task can assess the CSF with an averaged standard deviation of 0.10 decimal log unit in less than 2 minutes. In 50 trials, the quick CSF method can detect a medium 0.30 log unit area under log CSF change with 94.0% accuracy at the individual observer level. At the group level, a power analysis based on the empirical distribution of CSF changes from the large sample showed that a very small area under log CSF change (0.025 log unit) could be detected by the quick CSF method with 112 observers and 50 trials. Taken together, These results suggest the quick CSF method delivers an accurate, precise and efficient assessment of contrast sensitivity.


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