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教育经历工作经历个人简介华东师范大学心理与认知科学学院晨晖学者。主要研究方向是概念与知识的神经表征，通过fMRI等神经影像学技术探索如何通过脑活动解码思想。在University of South Carolina获得博士学位，在Carnegie Mellon University接受博士后训练。 招生方向：语言与认知 主持项目 国家自然科学基金青年项目：抽象概念的隐喻化神经表征，2022-2024 Selected publications (* correspondence) Wang J.*, Lin H., & Cai Q.* (2023) How Grammar Conveys Meaning: Language-specific spatial encoding patterns and cross-language commonality in higher-order neural space. Journal of Neuroscience. doi: 10.1523/JNEUROSCI.0599-23.2023 Zhang R. ǂ, Wang J. ǂ, Lin H., Turk-Browne N.B., & Cai Q.* (2023) Neural signatures of second language proficiency in narrative processing. Cerebral Cortex. (ǂEqual contribution) Li L., Zhao W., Song M., Wang J.*, & Cai Q.* (2023) CCLOOW: Chinese children’s lexicon of oral words. Behavior Research Methods. doi: 10.3758/s13428-023-02077-6 Feng J., Mak H.Y., Wang J.*, & Cai Q.* (2022) How characters are learned leaves its mark on the neural substrates of Chinese reading. eNeuro 9: ENEURO.0111-22.2022 Wang J., Cherkassky V.L., & Just M.A. (2017) Predicting the brain activation pattern associated with the propositional content of a sentence: modeling neural representations of events and states. Human Brain Mapping. 38(10). doi: 10.1002/hbm.23692 Just M.A.ǂ, Wang J.ǂ, & Cherkassky, V.L. (2017) Neural representations of the concepts in simple sentences: concept activation prediction and context effects. Neuroimage. 157: 511-520. (ǂEqual contribution) Wang J., Baucom L.B., & Shinkareva S.V. (2013) Decoding abstract and concrete concept representation based on single-trial fMRI data. Human Brain Mapping. 34: 1133-1147 Wang J., Conder J.A., Blitzer D.N., & Shinkareva S.V. (2010) Neural representation of abstract and concrete concepts: a meta-analysis of neuroimaging studies. Human Brain Mapping. 31: 1459-1468 社会兼职研究方向从方法论的角度，关注如何通过fMRI等手段测量的脑活动解码思想。 从科学主题的角度，关注概念的产生与表征机制，知识的神经组织规律，语言能力的认知神经基础。 招生与培养学术型硕士研究生招生方向：语言与认知 对入组的研究生同学，我视自己的职责为指导你发展研究项目，获得学位，帮助你踏上进一步的求学之路，或支持你的其他职业选择。 我会深度参与你研究的各个阶段，并在和你的相处中找到适合你的工作和沟通方式。你可以在初期花一些时间寻找自己的研究兴趣，也可以立刻投身一个明确的研究问题。你可以在各个层面寻求我的指导，也可以选择相当程度的独立自主。你可以频繁与我讨论交流，也可以要求低频的高质量沟通。任何一种方式都服务这样的目的：为你成长为一个科学工作者做好思维、知识和技能的准备。即便你不期望或不适合成为一个科学工作者，你也会在此过程中获得有用的技能和思考方式。 开授课程参与课程 本科：
研究生：
科研项目主持 国家自然科学基金青年项目：抽象概念的隐喻化神经表征，2022-2024 学术成果* correspondence Wang J.*, Lin H., & Cai Q.* (2023) How Grammar Conveys Meaning: Language-specific spatial encoding patterns and cross-language commonality in higher-order neural space. Journal of Neuroscience. doi: 10.1523/JNEUROSCI.0599-23.2023 Zhang R. ǂ, Wang J. ǂ, Lin H., Turk-Browne N.B., & Cai Q.* (2023) Neural signatures of second language proficiency in narrative processing. Cerebral Cortex. (ǂEqual contribution) Li L., Zhao W., Song M., Wang J.*, & Cai Q.* (2023) CCLOOW: Chinese children’s lexicon of oral words. Behavior Research Methods. doi: 10.3758/s13428-023-02077-6 Feng J., Mak H.Y., Wang J.*, & Cai Q.* (2022) How characters are learned leaves its mark on the neural substrates of Chinese reading. eNeuro 9: ENEURO.0111-22.2022 Gao C., Baucom L.B., Kim J., Wang J., Wedell D.H., & Shinkareva S.V. (2019) Distinguishing abstract from concrete concepts in supramodal brain regions. Neuropsychologia 131:102–110 Wang J., Cherkassky V.L., & Just M.A. (2017) Predicting the brain activation pattern associated with the propositional content of a sentence: modeling neural representations of events and states. Human Brain Mapping. 38(10). doi: 10.1002/hbm.23692 Just M.A.ǂ, Wang J.ǂ, & Cherkassky, V.L. (2017) Neural representations of the concepts in simple sentences: concept activation prediction and context effects. Neuroimage. 157: 511-520. (ǂEqual contribution) Yang Y., Wang J., Bailer C., Cherkassky V.L., & Just M.A., (2017) Commonalities and differences in the neural representations of English, Portuguese, and Mandarin sentences: when knowledge of the brain-language mappings for two languages is better than one. Brain and Language. 175: 77-85. Wang J., Cherkassky V.L., Yang Y., Chang K.K., Vargas R., Diana N., & Just M.A. (2016) Identifying object’s thematic role in an event from fMRI-measured neural representation. Cognitive Neuropsychology. doi:10.1080/02643294.2016.1182480 Yang Y., Wang J., Bailer C., Cherkassky V., & Just M.A. (2016) Commonality of neural representations of sentences across languages: predicting brain activation during Portuguese sentence comprehension using an English-based model of brain function. Neuroimage. 146: 658-666. Kim J., Wang J., Wedell D.H., & Shinkareva S.V. (2016) Identifying core affect in individuals from fMRI responses to dynamic naturalistic audiovisual stimuli. PLoS ONE11(9): e0161589. Shinkareva S.V., Wang J., Kim J., Facciani M.J., Baucom L.B., & Wedell D.H. (2014) Representations of modality-specific affective processing for visual and auditory stimuli derived from fMRI data. Human Brain Mapping. 35: 3558-3568 Wang J., Baucom L.B., & Shinkareva S.V. (2013) Decoding abstract and concrete concept representation based on single-trial fMRI data. Human Brain Mapping. 34: 1133-1147 Shinkareva S.V., Wang J., & Wedell, D.H. (2013) Examining similarity structure: Multidimensional scaling and related approaches in neuroimaging. Computational and Mathematical Methods in Medicine. doi:10.1155/2013/796183 Henderson J.M., Shinkareva S.V., Wang J., Luke S.G., & Olejarczyk J. (2013) Predicting cognitive states from eye movements. PLoS ONE8(5): e64937 Baucom L.B., Wedell D.H., Wang J., Blitzer D.N., & Shinkareva S.V. (2012) Decoding the neural representation of affective states. Neuroimage. 59: 718-727 Murdaugh D.L., Shinkareva S.V., Deshpande H.R., Wang J., Pennick M.R., & Kana R.K. (2012) Differential deactivation during mentalizing and classification of autism based on default mode network connectivity. PLoS ONE 7(11): e50064. Wang J., Conder J.A., Blitzer D.N., & Shinkareva S.V. (2010) Neural representation of abstract and concrete concepts: a meta-analysis of neuroimaging studies. Human Brain Mapping. 31: 1459-1468 Shinkareva S.V., Gudkov V., & Wang J. A Network Analysis Approach to fMRI Condition-Specific Functional Connectivity. arXiv:1008.0590v1 (2010). 荣誉及奖励 |
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王婧 |