Xing Tian

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Xing Tian

6 Washington Pl. Suite 275

Department of Psychology

New York University, New York, NY 10003 USA

Tel: 212-998-8072 (office)

Email: xing.tian@nyu.edu

Education

Ph.D. Neuroscience and Cognitive Science, University of Maryland, College Park, MD. August 2008. Advisors: Dr. David E. Huber and Dr. Michael Dougherty

B.S.   Physics, Beijing University, Beijing, China. July 2003.                                                                    

Research Interests

• Mental imagery, internal neural representation
• Neural correlates of attention
• Brain computer interface
• Neural dynamics of explicit and implicit forms of memory and perception
• Bridging neuroscience and cognitive science by implementing behavioral and neurophysiological methods in combination with neural networks.

Peer Reviewed Research Papers

• Tian, X. & Huber, D. (2008). Measures of Spatial Similarity and Response Magnitude in MEG and Scalp EEG. Brain Topography, 20(3), 131-141.

• Huber, D. E., Tian, X., Curran, T., O’Reilly, C, & Woroch, B. (2008). The dynamics of integration and separation: ERP, MEG, and neural network studies of immediate repetition effects. Journal of Experimental Psychology: Human Perception and Performance, 34(6), 1389-1416.

• Tian, X. & Huber, D.E. (revision). Testing an associative account of semantic satiation. Cognitive Psychology

• Davelaar, E.J., Tian, X., Weidemann, C.T., & Huber, D.E. (submitted) A Habituation Account of Change Detection in same/different judgments

• Tian, X. & Poeppel, D. (submitted) Motor imagery studied with MEG: Overt versus Covert Finger Movement

Manuscripts under preparation

• Tian, X. & Huber, D.E. How does our brain play ‘Duck Duck Goose’? On testing the connections between perceptual and semantic systems: an MEG study.

• Tian, X. & Poeppel D. Overt and covert articulation and their sensory consequences: mental imagery in MEG

Conference Abstracts

• Tian, X. & Poeppel, D. (2009) Comparing overt and covert movement with magnetoencephalography. 16th annual meeting of the Cognitive Neuroscience Society, San Francisco, CA.

• Tian, X., & Huber, D. E. (2009). Behavioral and electrophysiological studies of semantic satiation. Annual Meeting of the Society of Experimental Psychologists (SEP), Boulder, Colorado.

• Tian, X. & Huber, D. E. (2008). Behavioral and electrophysiological studies of semantic satiation. 49th Annual meeting of the Psychonomic Society, Chicago, IL

• Tian, X. & Huber, D. E. (2007). Measuring semantic satiation with a categorical matching task. 48th Annual meeting of the Psychonomic Society, Long Beach, CA.

• Tian, X. & Huber, D. E. (2007). Geometric measures in electrophysiology: Spatial similarity and response magnitude. 40th Annual Mathematical Psychology Meeting, Irvine, California.

• Sikstrom, S., Tian, X., Huber, D., Kallioinen, P., Smart, A., Davelaar, E., & Aberg, K. (2007). Interaction between subsequent memory and serial position of wordlist encoding using MEG. 14th annual meeting of the Cognitive Neuroscience Society, New York, NY.

• Tian, X., Davelaar, E. J., Crowley, T., & Huber, D. E. (2006). Behavioral and Electrophysiological Tests of a Perceptual Account of Negative Priming. 28th Meeting of the Cognitive Science Society, Vancouver, British Columbia.

• Davelaar, E.J., Tian, X., Weidemann, C.T., Crowley, T., & Huber, D.E. (2006) Perceptual and response effects in same-different judgments: a combined behavioral and MEG study. 13th annual meeting of the Cognitive Neuroscience Society, San Francisco, CA.

• Tian, X. & Huber, D. E. (2005). A MEG study of immediate repetition priming. 12th annual meeting of the Cognitive Neuroscience Society, New York, NY.

Professional Activities

Junior research scientist, New York University, 4/2009 –

Postdoctoral researcher, University of Maryland, College Park, 10/2008 – 3/2009

Visiting Graduate Student, University of California, San Diego 7/2008 – 10/2008

·        Implemented synaptic depression mechanism in feed-forward neural network model to simulate the associative account of semantic satiation

Graduate Research Assistant, University of Maryland

Cognitive Experiments, Models, and Neuroscience Laboratory, 9/2003 - present   

·        Designed an experimental paradigm to explore the dynamic of information transfer function in human memory retrieval process, from both behavioral and neurophysiological perspectives in combination with neural network.

·        Developed an algorithm to normalize individual differences in neurophysiological recordings

·        Devised an cascade algorithm to overcome catastrophic interference in connectionism neural networks

·        Participated in a large project of modeling perception and memory by recording and analyzing electrophysiological measures (Magnetoencephalograph)

·        Contributed to an international collaboration project on the human memory encoding, in charge of neurophysiological method part

Undergraduate research assistant, Beijing University

Beijing Key Laboratory of Medical Physics and Engineering, 10/2002-6/2003

·        Investigated cortical representation of actual and imaginary hand movement using fMRI

Brain Science Center, Department of Psychology, 5/2002-9/2002

·        Researched on global/local attention using Electroencephalography (EEG) and Transcranial Magnetic Stimulation (TMS)

Teaching assistant, Department of Psychology, University of Maryland

·        Statistical Methods in Psychology, 9/2007-present

·        Introduction to Psychology, 1/2007-8/2007

Lab instructor, Department of Psychology, University of Maryland

·        Experimental Psychology: Cognitive Processes, 9/2004-12/2006      

Societies

• Cognitive Neuroscience Society
• Cognitive Science Society
• Computational Neuroscience Society
• Society for Mathematical Psychology
• Psychonomic Society

      Reviewing

• Journal of Computational Intelligence and Neuroscience
• Annual meeting of Cognitive Science Society

Skills

• Proficient in electrophysiological recording (MEG/EEG), data analysis (Matlab/MEG160) and experimental design (E-prime)
• Expert knowledge of math modeling and neural networks
• Extensive experience with statistical software (SPSS)
• Familiar with other neural imaging and research tools (fMRI, TMS)
• Confident with EEGlab, SPM

Academic Honors, Scholarships, and Fellowships

• University of Maryland: Block Grant Fellowship, 2003-05
• NACS: Summer Fellowship, 2003-07

University Service Activities

• University of Maryland: Neuroscience and Cognitive Science Advising Committee, student representative

References

Dr. David E. Huber

Associate Professor

Department of Psychology

University of California, San Diego

9500 Gilman Drive

La Jolla, CA 92093

Phone: (858) 822-1630

Email: dhuber@psy.ucsd.edu

Dr. Michael Dougherty

Associate Professor

Department of Psychology

University of Maryland

1145 B Biology/Psychology Building

College Park, MD, 20740

Phone: (301) 405-8423

E-mail:  mdougherty@psyc.umd.edu

Dr. David Poeppel

Professor

Department of Psychology

New York University
6 Washington Pl. Suite 275-276
New York, NY 10003 

Phone: (212) 992-7489
E-mail: david.poeppel@nyu.edu