Hello 大家好 本学期开始我们邀请NYU Psychology and Center for Neural Science的教授 Laurence T. Maloney来访，有两场演讲分别在台大心理系、阳明神研所 演讲资讯及时间地点如下，不需事先报名，欢迎参加。 演讲一 Title: Estimating and discounting the light field: perception of surface color in three-dimensional virtual scenes Date and Time: 9/19 (Wed), 2:20-4pm. Location: 台湾大学心理系北馆视听教室(N100) Abstract: In everyday scenes, the intensity and chromaticity of the light absorbed by a matte surface depends on its location and orientation. I will first describe recent experiments intended to investigate surface color and lightness perception in 3D rendered scenes. We found that the visual system partially compensates for changes in illumination due to changes in location and orientation of test surfaces. We show that, in carrying out these experimental tasks, observers effectively represent the spatial distribution, chromaticities and relative intensities of light sources in the scene. I'll describe additional experiments where we assess how the visual system estimates the distribution of light in scenes (the light field) and how it used this information in estimating surface colors. 演讲二 Title: Imperfectly optimal animals: Bayesian decision theory and the planning of action Date and time: 9/20 (Thursday), 3:30pm-5pm. Location: 阳明大学活动中心第一会议室 Abstract: The movement we plan is not always the movement we execute. Any discrepancy is the consequence of own intrinsic motor uncertainty. I will first describe a model of movement planning based on Bayesian decision theory that takes our own visual and motor uncertainty into account in selecting movement strategies and present experimental evidence suggesting that human movement planners deviate slightly but systematically from optimal in many tasks (Schuur et al, under review; Wu et al, 2009, 2011; Zhang et al, under review; Zhang & Maloney, 2012). While human performance is impressive in all of the tasks considered, it is not optimal, and deviations from optimality are potentially a valuable source of information concerning how humans represent and make use of information about uncertainty (Zhang & Maloney, 2012). --

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