Howard Poizner and his team are utilizing new technologies they developed for synchronous recording of limb, head, and body movements, and high density cortical EEG, while subjects navigate in large scale immersive virtual environments to examine biomarkers for unsupervised learning and memory.
Sergei Gepshtein and his colleagues are developing new computational models and experimental paradigms for research of action and decision making, to improve our understanding of how subjects act in rapidly changing environments, under risk and uncertainty.
Tom Liu and his team are developing new algorithms and methods of analysis of simultaneous EEG-fMRI brain imaging recordings in order to develop a new methodology of spatiotemporal functional brain imaging.
Howard Poizner and his team are incorporating haptic robotic interactions in virtual environments during simultaneous EEG-FMRI recordings in order to examine spatiotemporal brain function during unsupervised spatial learning.
Ralph Greenspan and his team are using new genetic tools to examine genes relevant to dopaminergic control of interregional brain coherence and learning in Drosophila, so as to then be able to bootstrap up to mammalian systems.
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