各位老师：

您好！麦戈文脑科学研究所邀请了New York University的Zhang Hang来实验室做讲座，欢迎感兴趣的老师和同学参加。讲座信息如下：

讲座时间：8月20日（下周二）上午10:00

讲座地点：脑成像中心308会议室（大会议室）

主讲人：Zhang Hang，postdoctoral fellow at Department of  Psychology and Center for Neuroscience at New York University

讲座题目：Measuring human subjects’ models of  visuo-motor uncertainty: A new window on human decision-making in perception,  action and cognition

内容摘要：       In recent years researchers have  repeatedly found that human performance in a variety of visuo-motor decision  tasks is close to that of a Bayesian ideal observer who maximizes expected gain.   The source of uncertainty in these tasks is the subject’s own motor and visual  error, and good performance is often interpreted as evidence that subjects have  accurate internal models of their own visuo-motor error.  Here I present a series  of experiments where I use novel behavioral methods to measure and draw  inferences about the subject's internal model of their own visuo-motor error.   Human performance in these tasks reveal that the probabilistic models people  assume may have large, systematic and enduring deviations from the objectively  correct probabilistic models.  There are even situations where a considerable  proportion of individuals make choices that are inconsistent  with any probabilistic model.  I will describe similar experimental and  computational methods that reveal the internal probabilistic models implicit in  human decisions under external (environmental) uncertainty.  These methods constitute  a new and exciting approach to evaluating human performance in decision tasks in  perception, action and cognition.  I will also describe preliminary work  directed to understanding how probability is learned—trial by trial—and  represented neutrally, and how decision-making changes across the life  span.

主讲人介绍：

Zhang Hang received her BEng at Tsinghua  University and her PhD at Institute of Psychology, Chinese Academy of Sciences.  Currently she is a postdoctoral fellow at Department of Psychology and Center  for Neuroscience at New York University. She uses psychophysics and  computational modeling to study perception and action, and decision  making.      Selected  publications:1.Zhang, H., Morvan, C., Etezad-Heydari,  L.-A., & Maloney, L. T. (2012). Very slow search and reach: Failure to  maximize expected gain in an eye-hand coordination task.PLoS Computational  Biology, 8(10), e1002718, 1-12.2.Zhang, H., & Maloney, L. T. (2012).  Ubiquitous log odds: a common representation of probability and frequency  distortion in perception, action, and cognition. Frontiers in  Neuroscience, 6(1), 1-14.3.Zhang, H., Morvan, C., & Maloney, L.  T. (2010). Gambling in the visual periphery: A conjoint-measurement analysis of  human ability to judge visual uncertainty. PLoS Computational Biology, 6(12),  e1001023, 1-10.4.Maloney, L. T. & Zhang, H. (2010).  Decision-theoretic models of visual perception and action. Vision  Research, 50(23), 2362-2374.5.Zhang, H., Maddula, S. V., &  Maloney, L. T. (2010). Planning routes across economic terrains: Maximizing  utility, following heuristics. Frontiers in Psychology, 1, Article 214,  1-10.6.Zhang, H., Wu, S.-W., & Maloney, L.  T. (2010). Planning multiple movements within a fixed time limit: The cost of  constrained time allocation in a visuo-motor task.Journal of Vision, 10(6), 1,  1-17.7.Zhang, H., Xuan, Y.,  Fu, X., & Pylyshyn, Z. W. (2010). Do objects in working memory compete with  objects in perception? Visual Cognition, 18(4), 617-640.

    此致

敬礼！

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