Alexander Huth Dept of Neuroscience Dept of Statistics language neuroscience, fMRI, semantic modeling, decoding/encoding models, computational neuroscience
Lexin Li School of Public Health neuroimaging data analysis, deep brain stimulation, brain-computer-interface, statistical machine learning, deep learning, reinforcement learning, networks data analysis, functional data analysis, tensor analysis, ordinary differential equations, dimension reduction, high dimensional inference
Jack L. Gallant Dept of Neuroscience computational neuroscience, vision science, attention, fMRI, language, natural scene perception, brain encoding, brain decoding
Chunlei Liu Division of Electrical Engineering (EECS) brain imaging, magnetic resonance imaging, remote neural modulation, biosystems and computational biology, signal processing
Mark D'Esposito Dept of Psychology cognitive neuroscience, psychology, working memory, frontal lobe function, functional MRI, neurology, brain imaging, dopamine
Na Ji Dept of Neuroscience Dept of Physics neuroscience, microscopy techniques, in vivo imaging, biophotonics, biophysics, adaptive optics, optics
Kevin Weiner Dept of Neuroscience Dept of Psychology visual perception, face processing, comparative neuroanatomy, development, translational applications for patient populations
Sandya Subramanian Computational Precision Health Program translational medicine, computational neuroscience, physiology, statistics, mathematical modeling
Jacob Yates School of Optometry computational neuroscience, vision science, machine learning and artificial intelligence
Alexander Huth
