姓名:彭飞
职称:教授,博士生导师
联系邮箱:fpeng@smu.edu.cn
联系电话:020-62789593
学习经历:
2005.9-2009.7 华南理工大学,科技英语专业,学士
2009.9-2012.7 南方医科大学,应用心理学专业,硕士
2012.9-2016.12 英国伦敦玛丽女王大学,心理学专业,博士
2016.12-2018.12 南方医科大学公共卫生学院心理学系 博士后(获广东省“珠江人才计划”海外青年引进计划博士后项目资助)
拟招收博士后开展的研究方向:
1. 蜂类认知能力与神经环路计算模型
2. 蜂类认知能力与基于深度学习的行为量化追踪
3. 比较认知与神经基础研究的新范式和新方法
主要学术任职:
1. 广东省认知科学学会理事
主要获奖情况:
无
代表性论文:
1. HaDi MaBouDi#, Andrew B. Barron#, Li Sun, Maria Honkanen, Olli J. Loukola, Fei Peng, Wenfeng Li, James A. Marshall, Alex Cope, Eleni Vasilaki and Cwyn Solvi*. Non-numerical strategies used by bees to solve numerical cognition tasks. Proceedings of the Royal Society B: Biological Sciences. 2021, 288:20202711.
2. Yonghe Zhou, Li Sun, Xiaodan Peng, Cwyn Solvi, Fei Peng*. Chromatic, achromatic and bimodal negative patterning discrimination by free-flying bumble bees. Animal Behaviour. 2020, 169:93-101.
3. Vera Vasas, Fei Peng*, HaDi MaBouDi, Lars Chittka. Randomly weighted receptor inputs can explain the large diversity of colour-coding neurons in the bee visual system. Scientific Reports. 2019, 9:8330.
4. Fei Peng, Lars Chittka*. A simple computational model of the bee mushroom body can explain seemingly complex forms of olfactory learning and memory. Current Biology. 2017, 27(2):224-230.
5. Paul Ardin#, Fei Peng#, Michael Mangan, Konstantinos Lagogiannis, Barbara Webb*. Using an insect mushroom body circuit to encode route memory in complex natural environments. PLOS Computational Biology. 2016, 12(2):e1004683.
6. Lars Chittka*, Fei Peng. Caffeine boosts bees’memories. Science. 2013, 339(6124):1157-1159.