• brain driven artificial intelligence thumbnail
    Neural network models of the brain
As part of the Department of Biomedical Engineering and the Electrical and Computer Engineering Division in the Department of Electrical Engineering and Computer Science at the University of Michigan, the Laboratory of Integrated Brain Imaging aims to accelerate neuroscience and artificial intelligence by developing novel tools to integrate neural imaging, recording, stimulation, and modeling.

Positions available for Ph.D. students or postdoctoral fellows.

(09/23/22) Amaya passed her PhD qualifying exam in ECE.
(09/14/22) New publication reports that the vagus nerve mediates stomach-brain coherence.  
(09/01/22) Siyi Chen joined the lab as a PhD student in ECE.
(07/05/22) Minkyu developed a new recurrent neural net inspired by human eyes.
(06/06/22) Dr. Liu invited to talk in the “Noise as Signal” symposium.
(05/31/22) Madeleine Di Natale visiting the lab from the Furness lab at the University of Melbourne.
(05/20/22) Xiaokai invited to present in Neural Engineering symposium.
(05/12/22) Dr. Liu invited to give a seminar in Michigan Neuroscience Institute.
(05/06/22) Kuan presented in the University of Michigan Neuroscience Conference.
(04/20/22) Xiaowai awarded the Glenn Edmonson Scholarship.
(04/20/22) The Lab received seed funding to develop MRI for imaging the human GI tract.
(03/02/22) Dr. Liu gave an invited seminar in Carnegie-Mellon University.
(02/17/22) Dr. Liu gave a talk on computational tool and technology seminar series at U-M.