Zhongming LiuZhongming Liu
Assistant Professor of Electrical and
Computer Engineering and Biomedical Engineering
Weldon School of Biomedical Engineering
206 S. Martin Jischke Drive
West Lafayette, IN 47907-2032
Office Phone: 765-49-61872
Zhongming Liu is an Assistant Professor of Biomedical Engineering, Electrical and Computer Engineering at Purdue University. His lab has been dedicated to development of novel methods to integrate neural imaging, recording, stimulation and modeling for understanding and decoding brain functions. The goals of ongoing projects are 1) mapping neural circuits with magnetic resonance imaging (MRI), 2) decoding neural activity during natural vision, 3) perturbing neural circuit to modulate brain and end-organ functions, as well as 4) developing MRI-compatible recording and stimulation devices towards achieving these goals. His lab is currently supported by NIH, DARPA, Indiana CTSI and Purdue.
- Marussich L., Lu K-H, Wen H., Liu Z., “Mapping white-matter functional organization at rest and during naturalistic visual perception,” NeuroImage, doi: 10.1016/j.neuroimage.2016.10.005.
- Wen H., Shi J., Zhang Y., Lu K-H, Liu Z., “Neural encoding and decoding with deep learning for dynamic natural vision,” arXiv:1608.03425, preprint (W.H. and S.J. contributed equally to this work).
- Lu K-H, Hung S., Wen H., Marussich L., Liu Z., “Influences of high-level features, gaze, and scene transitions on the reliability of BOLD responses to natural movie stimuli,” PLoS ONE, 11(8): e0161797, 2016.
- Wen H., Liu Z., “Broadband electrophysiological dynamics contribute to global resting-state fMRI signal,” Journal of Neuroscience, 36(22): 6030-6040, 2016.
- Wen H., Liu Z., “Separating fractal and oscillatory components in the power spectrum of neurophysiological signal,” Brain Topography, 29(1): 13-26, 2016.
- Liu Z., de Zwart J.A., van Gelderen P., Duan Q., Chang C. Duyn J.H., “Neuroelectrical decomposition of spontaneous brain activity patterns measured with functional magnetic resonance imaging,” Cerebral Cortex, 24(11): 3080-3089, 2014.