Dimitre N. Tomov

Dimitre is a Washington University graduate with Masters in Electrical Engineering. For more than a decade, he has been involved in modeling of human motor control by the Central Nervous System (CNS). Currently, interested in multivariate modeling of not only what brain regions are involved in some function, but also how impairments and diseases are encoded and modify brain-activity patterns. Specifically, the methods of Representational Similarity Analysis (RSA) coupled with the explosive evolution of machine learning tools, e.g. nilearn, greatly facilitate such investigation as well comparisons across imaging modalities, models, individuals and species.