研究方向:
我们使用行为实验、计算建模和非侵入式脑成像技术研究人类知觉、运动和认知领域的各种决策问题。人类的知觉和运动系统中存在着无法完全消除的错误。这样的错误可能导致严重的后果，例如，外科手术的成败取决于医生的运动准确性。在一个复杂多变的环境中，决策者必须考虑到自身的知觉和运动系统以及环境中的不确定性。一个核心的问题是：大脑如何表征和计算不确定性？我们将从行为、计算算法和实现计算的神经回路等多个相互关联的层面回答这个问题。
代表性科研论文:
1. Sun J, Li J*, Zhang H* (in press) Human representation of multimodal distributions as clusters of samples. PLoS Computational Biology.
2. Zhang H*, Daw ND, Maloney LT (2015) Human representation of visuo-motor uncertainty as mixtures of orthogonal basis distributions. Nature Neuroscience, 18, 1152-1158.
3. Zhang H*, Daw ND, Maloney LT (2013) Testing Whether Humans Have an Accurate Model of Their Own Motor Uncertainty in a Speeded Reaching Task. PLoS Computational Biology, 9(5), e1003080.
4. Zhang H*, Morvan C, Etezad-Heydari L-A, Maloney LT (2012) Very slow search and reach: Failure to maximize expected gain in an eye-hand coordination task. PLoS Computational Biology, 8(10), e1002718.
5. Zhang H*, Maloney LT (2012) Ubiquitous log odds: a common representation of probability and frequency distortion in perception, action, and cognition. Frontiers in Neuroscience, 6(1), 1-14.
6. Zhang H*, Morvan C, Maloney LT (2010) Gambling in the visual periphery: A conjoint-measurement analysis of human ability to judge visual uncertainty. PLoS Computational Biology, 6(12), e1001023.
7. Maloney LT, Zhang H (2010) Decision-theoretic models of visual perception and action. Vision Research, 50(23), 2362-2374.
