linn

Personal Details

Nan Lin
Professor, Institute of Psychology, Chinese Academy of Sciences

Profiles

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Working Experience

  • 2024-present, Professor, Institute of Psychology, Chinese Academy of Sciences.
  • 2023-2024, Specially-appointed junior Professor, Institute of Psychology, Chinese Academy of Sciences.
  • 2016-2023, Associate Professor, Institute of Psychology, Chinese Academy of Sciences.
  • 2012-2016, Assistant Professor, Institute of Psychology, Chinese Academy of Sciences.

Education Experience

  • 2007-2012, Ph. D., Beijing Normal University, Psychology (Advisors: Yanchao Bi and Zaizhu Han)
  • 2001-2005, B.S., Nankai University, Biology

Research Interest

  • social semantic processing
  • semantic representation
  • reading

Awards

Teaching Experience

  • Faculty of Artificial Intelligence, Univerisity of Chinese Academy of Science, Cognitive linguistics
  • Department of Psychology, Univerisity of Chinese Academy of Science, Psycholingustic

Social Appointments

Current grants as principal investigator

Publications

Journal Papers in English

Zhang, G., Xu, Y., Wang, X., Li, J., Shi, W., Bi, Y., & Lin, N.* (2023). A social-semantic working-memory account for two canonical language areas. Nature Human Behaviour. https://doi.org/10.1038/s41562-023-01704-8

Zhang, G., Hung, J., & Lin, N.* (2023). Coexistence of the social semantic effect and non-semantic effect in the default mode network. Brain Structure and Function, 228(1), 321-339.

Wang, S., Zhang, Y., Shi, W., Zhang, G., Zhang, J., Lin, N.*, & Zong, C. (2023). A large dataset of semantic ratings and its computational extension. Scientific Data, 10(1), 106.

Yang, X., Lin, N.*, & Wang, L. (2023). Situation updating during discourse comprehension recruits right posterior portion of the multiple‐demand network. Human Brain Mapping.

Wang, S., Ding, N., Lin, N., Zhang, J., & Zong, C. (2023). Language Cognition and Language Computation--Human and Machine Language Understanding. arXiv preprint arXiv:2301.04788.

Zhang, G.,Yao, P.,Ma, G.,Wang, J.,Zhou, J.,... Lin, N.*, & Li, X*. (2022).The database of eye-movement measures on words in Chinese reading. Scientific Data, 9(1), 8.

Wang, S., Zhang, Y., Zhang, X., Sun, J., Lin, N., Zhang, J., & Zong, C. (2022). An fmri dataset for concept representation with semantic feature annotations. Scientific Data, 9(1), 721.

Zhang, X., Wang, S., Lin, N., Zhang, J., & Zong, C. (2022, June). Probing word syntactic representations in the brain by a feature elimination method. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 36, No. 10, pp. 11721-11729).

Zhang, X., Wang, S., Lin, N., & Zong, C. (2022, December). Is the Brain Mechanism for Hierarchical Structure Building Universal Across Languages? An fMRI Study of Chinese and English. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (pp. 7852-7861).

Zhang, G. #, Xu, Y. #, Zhang, M., Wang, S., & Lin, N.* (2021). The Brain Network in Support of Social Semantic Accumulation. Social Cognitive and Affective Neuroscience, 16(4), 393–405.

Zhang, G., Yuan, B., Hua, H., Lou, Y., Lin, N. *, & Li, X. * (2021). Individual differences in first-pass fixation duration in reading are related to resting-state functional connectivity. Brain and Language, 213, 104893.

Lin, N.*, Xu, Y., Yang, H., Zhang, G., Zhang, M., Wang, S., ... & Li, X. (2020). Dissociating the neural correlates of the sociality and plausibility effects in simple conceptual combination. Brain Structure and Function, 225(3), 995–1008.

Wang, S., Zhang, J., Wang, H., Lin, N., & Zong, C. (2020). Fine-grained neural decoding with distributed word representations. Information Sciences, 507, 256-272.

Wang, S., Zhang, J., Lin, N., & Zong, C. (2020, April). Probing brain activation patterns by dissociating semantics and syntax in sentences. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 34, No. 05, pp. 9201-9208).

Zhang, G., Li, X., & Lin, N. (2020). YawMMF: Effective Mixed Model Functions. Available at: https://github.com/usplos/YawMMF.

Lin, N.*, Xu, Y., Wang, X., Yang, H., Du, M., Hua, H., & Li, X. (2019). Coin, telephone, and handcuffs: Neural correlates of social knowledge of inanimate objects. Neuropsychologia, 133, 107187.

Yang, X., Li, H., Lin, N., Zhang, X., Wang, Y., Zhang, Y., ... & Yang, Y. (2019). Uncovering cortical activations of discourse comprehension and their overlaps with common large-scale neural networks. NeuroImage, 203, 116200.

Zhang, G., Li, X., &Lin, N. (2019). DPEEM: Data 'pipeline' Preprocessing and Extracting for Eye Movements. Available at: https://github.com/usplos/DPEEM. Manual: http://eyemind.psych.ac.cn/software/DPEEM.pdf

Lin, N.*, Wang, X., Xu, Y., Hua, H., Zhao, Y., & Li, X. (2018). Fine Subdivisions of the Semantic Network Supporting Social and Sensory-Motor Semantic Processing. Cerebral Cortex, 28(8), 2699–2710.

Lin, N.*, Yang, X., Li, J., Wang, S., Hua, H., Ma, Y., & Li, X. (2018). Neural correlates of three cognitive processes involved in theory of mind and discourse comprehension. Cognitive, Affective, & Behavioral Neuroscience, 18(2), 273–283.

Yang, X., Zhang, X., Yang, Y., &Lin, N.* (2018). How context features modulate the involvement of the working memory system during discourse comprehension. Neuropsychologia, 111, 36–44.

Lin, N., Angele, B., Hua, H., Shen, W., Zhou, J., & Li, X.* (2018). Skipping of Chinese characters does not rely on word-based processing. Attention, Perception, & Psychophysics, 80(2), 600–607.

Wang, S., Zhang, J., Lin, N., & Zong, C. (2018, April). Investigating inner properties of multimodal representation and semantic compositionality with brain-based componential semantics. In Proceedings of the 32th AAAI Conference on Artificial Intelligence (AAAI-18).

Zhao, Y., Song, L., Ding, J., Lin, N., Wang, Q., Du, X., Sun, R., & Han, Z.* (2017). Left anterior temporal lobe and bilateral anterior cingulate cortex are semantic hub regions: Evidence from behavior-nodal degree mapping in brain-damaged patients. Journal of Neuroscience, 37(1), 141-151.

Lin, N.*, Yu, X., Zhao, Y., & Zhang, M. (2016). Functional anatomy of recognition of Chinese multi-character words: Convergent evidence from effects of transposable nonwords, lexicality, and word frequency. PloS one, 11(2), e0149583.

Ding, J., Chen, K., Chen, Y., Fang, Y., Yang, Q., Lv, Y., Lin, N., Bi, Y., Guo, Q.*, & Han, Z.* (2016). The Left Fusiform Gyrus is a Critical Region Contributing to the Core Behavioral Profile of Semantic Dementia. Frontiers in Human Neuroscience, 10, 215.

Lin, N.*, Wang, X., Zhao, Y., Liu, Y., Li, X., & Bi, Y. (2015). Premotor Cortex Activation Elicited during Word Comprehension Relies on Access of Specific Action Concepts. Journal of Cognitive Neuroscience, 27(10), 2051-2062.

Lin, N.*, Bi, Y., Zhao, Y., Luo, C., & Li, X. (2015). The theory-of-mind network in support of action verb comprehension: Evidence from an fMRI study. Brain and language, 141, 1-10.

He, C., Peelen, M. V., Han, Z., Lin, N., Caramazza, A., & Bi, Y.* (2013). Selectivity for large nonmanipulable objects in scene-selective visual cortex does not require visual experience. Neuroimage, 79, 1-9.

Liu, P. *, Li, W.*, Lin, N., & Li, X. (2013). Do Chinese readers follow the national standard rules for word segmentation during reading? PloS one, 8(2), e55440. 

Lin, N., Guo, Q., Han, Z., & Bi, Y.* (2011). Motor knowledge is one dimension for concept organization: Further evidence from a Chinese semantic dementia case. Brain and Language, 119, 110-118.

Lin, N., Lu, X., Fang, F., Han, Z., & Bi, Y*. (2011). Is the semantic category effect in the lateral temporal cortex due to motion property differences? NeuroImage, 55, 1853-1864.

Journal Papers in Chinese

Wang S., Ding N., Lin, N., Zhang J., & Zong C. (2022). Language cognition and language computation: Human and machine language understanding. Science in China: Information Science, 52(10), 1748-1774.

Hua, H., Gu, J., Lin, N.*, & Li, X. (2017). Letter/character position encoding in visual word recognition. Advances in Psychological Science, 25(6), 1-7.

Lin, N., Bi, Y., & Han, Z.* (2011). Organization of Semantic Memory: Evidence from Category-specific Processing Patterns. Chinese Journal of Stroke, 6, 665-670.

Book Chapters

Conference Presentations

Students Supervised