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Nima Dehghani is a Research Scientist at the Allen Discovery Center | Tufts University. Previously, he was a Computational & Theoretical Neuroscientist at MIT physics department. After his medical training, as a research fellow at the HMS/MGH/MIT Martinos center and then at the UCSD Multimodal Imaging Lab & MGH Cortical Neurophysiology Lab, he worked on multimodal investigation and electromagnetic source localization of sleep rhythms and thalamocortical oscillations. His PhD work at Unite de Neurosciences, Information et Complexite (UNIC) of Centre National de la Recherche Scientifique (CNRS), was on spectral dynamics of MEG/EEG, assessment of self-organized criticality in multi-electrode ensemble recordings, and analyzing network properties of excitation/inhibition in micro-circuitry of the cerebral cortex. At Harvard's Wyss Institute for Biologically Inspired Engineering, and lately at New England Complex Systems Institute and MIT Physics he uses multimodal techniques in conjunction with the theoretical implications of bioelectromagnetism, multiscale interaction, and complex systems to characterize the dynamic patterns of neuro-signals obtained from miniaturized high-throughput microdevices and large-scale recordings. He aims to use the theoretical perspective of of neuronal ensemble dynamics in design of bio-inspired intelligence and to further enhance their usability for clinical purposes.
Nima's research track encompasses interconnected frontiers: i) investigating the nature of state-dependent collective information processing ranging from macroscopic/mesoscopic scale dynamics (Spatiotemporal characteristics of large scale oscillations), ii) understanding ensemble pattern formation at mesoscopic/microcircuitry scale (Spatiotemporal orchestration of local field potential and spiking ensembles patterns) iii) to bridge across these computational scales, he studies the physical nature of the measured signals at multiple scale (MEG, EEG, Electrocorticogram, Local field potential, Spiking) and their underlying biophysical constitutes (Biophysical links across these scales of observation).