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Xiaowei Zhao
- Male
- Hamilton, NY
- United States
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Xiaowei Zhao's Groups
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Theoretical Neuroscience
159 members
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Structure and Dynamics o…
61 members
Xiaowei Zhao's Page
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Dedicated to exploring theoretical constructs in neuroscience, using a synergy of experimental, mathematical, and computational methods.
This group discusses methods for generating and analyzing brain connectivity data (the "connectome") and how to simulate development and dynamics on anatomicially realistic neural networks. It can also be used to announce jobs, events, and CFP's.
Profile Information
- Main areas of research:
- Cognitive Science
Neural network modeling of Language development & processing
- Current title/position:
- Assistant Professor
- Current affiliation/employer:
- Department of Psychology
Colgate University
- Personal or laboratory homepage:
- http://www.richmond.edu/~xzhao2
- Publications:
- Peer-Reviewed Articles in Journals and Conference Proceedings:
Language & Neural Networks
Zhao, X., & Li, P. (2009a). An online database of phonological representations for Mandarin Chinese. Behavior Research Methods, 41, 575-583.
Zhao, X., & Li, P. (2009b). Acquisition of aspect in self-organizing connectionist models. Linguistics: An Interdisciplinary Journal of the Language Sciences, 47, 1075-1112.
Zhao, X. & Li, P. (2008). Vocabulary development in English and Chinese: A comparative study with self-organizing neural networks. In B. C. Love, K. McRae, & V. M. Sloutsky (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society (pp. 1900-1905). Austin, TX: Cognitive Science Society.
Liu, S., Zhao, X. & Li, P. (2008). Early lexical development: A corpus-based study of three languages. In B. C. Love, K. McRae, & V. M. Sloutsky (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society (pp. 1343-1348). Austin, TX: Cognitive Science Society.
Zhao, X., & Li, P. (2007). Bilingual lexical representation in a self-organizing neural network. In D. S. McNamara & J. G. Trafton (Eds.), Proceedings of the 29th Annual Cognitive Science Society (pp. 755-760). Austin, TX: Cognitive Science Society. (Best Computational Modeling Award in Language )
Li, P., Zhao, X., & MacWhinney, B. (2007). Dynamic Self-Organization and children's word learning. Cognitive Science, 31(4). 581-612.
Li, P., Sepanski, S., & Zhao, X. (2006). Language history questionnaires: A web-based interface for bilingual research. Behavioral Research Methods. 38, 202-210.
Zhao, X., & Li, P. (2005). A self-organizing connectionist model of early word production. In Proceedings of the twenty-seventh annual conference of the cognitive science society, (pp. 2434-2439). Mahwah, NJ: Lawrence Erlbaum.
Complex behaviors & Neural Networks
Zhao, X., Zhou, L., & Chen, T. (2004). Spatial and temporal behaviors in a modified evolution model based on small world networks. Commun. Theor. Phys., 42, 242-246.
Lin, M., Zhao, X., & Chen, T. (2004). A modified earthquake model of self-organized criticality on small world networks. Commun. Theor. Phys., 41, 557-560.
Zhao, X., Zhou, L., & Chen, T. (2003). Effects of different interactive function forms in a self-organized criticality model based on neural networks, Commun. Theor. Phys., 40, 607-613.
Zhao, X., & Chen, T. (2003). Different power law behaviors in different specific areas of a system based on neural networks, Commun. Theor. Phys., 40, 363-368.
Zhao, X., & Chen, T. (2002). Type of self-organized criticality model based on neural networks, Phys. Rev. E, 65, 026114.
Zhao, X., & Chen, T. (2001a). Self-organized criticality in a model based on neural networks, Commun. Theor. Phys., 36, 351-356.
Zhao, X., & Chen, T. (2001b). Self-organized criticality in Artificial Neural Network, in Proceeding of CCAST Workshop, ‘complexity problems’, 137, 111-122.
Book Chapter:
Li, P., & Zhao, X. (2009). Computational modeling of the expression of time. In Klein, W. & Li,P. (Eds.), The expression of time in language (pp.241-271).Berlin & New York: Mouton de Gruyter.
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