Dr Marko Seslija

Marko Seslija

University position

Research Associate

Departments

Department of Engineering

Email

ms2354@cam.ac.uk

Home page

http://www.markoseslija.com/ (personal home page)

Research Themes

Systems and Computational Neuroscience

Cellular and Molecular Neuroscience

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

Rodolphe Sepulchre

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