Laboratory of Integrated Brain Imaging – Home for Laboratory of Integrated Brain Imaging

Neural network models of the brain
MRI, electrophysiology and neuromodulation are combined to study and regulate brain-stomach interactions.
Ultra-high-field MRI supports in vivo preclinical imaging studies for neuroscience and beyond.
Naturalistic stimuli support multimodal and multiscale characterization of brain functions.
Vision-language model supports flexible image search with text and image queries.
Deep neural networks decode brain scans and reconstruct visual experiences.

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.

(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.