Dr Marko Seslija

Interests My research focuses on modeling and analysis of emergent phenomena in complex networked systems. I am particularly excited by mathematical and engineering challenges lying on the intersection of nonlinear control theory and neuroscience. The central question of my current research is probabilistic physical modeling of neural behaviors as large-scale interconnected neural circuits. Apart from enunciating a deep mathematical structure of the underlying neurophysiological behavior, such an approach aims at drawing conclusions about macroscopic behavior of populations of neurons. My goal is to develop theory and practical methods that marry control networked systems and quantitative neuroscience, aiming toward a more robust and scalable understanding of neural behaviors. Research Focus Keywords neural circuits mean-field theory interconnections port-Hamiltonian systems Dirac structures Clinical conditions No direct clinical relevance Equipment Computational modelling Collaborators Cambridge…

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