Our research program is focused on real time detection of brain activity across scales: from cellular and molecular activity of neuronal circuits in animals to noninvasive brain imaging in humans. To this end, we assemble a suite of micro- and nanoscopic technologies that, collectively, allow precise and quantitative probing of large numbers of the relevant physiological parameters. Then, we combine multimodal measurements and system-level analysis/modeling, commonly used in engineering disciplines, to understand how specific patterns of microscopic brain activity (and their pathological departures) translate into noninvasive macroscopic observables obtained with functional Magnetic Resonance Imaging (fMRI) and magnetoencephalography (MEG). The overarching goal is to develop a single estimation framework for inference of neuronal network activity from multimodal human fMRI/MEG imaging data.
