Dr Lionel Barnett

Lionel Barnett is a mathematician who has worked in evolution theory, network theory, complex dynamical systems theory, information theory, time series analysis and computational neuroscience. Lionel completed the Mathematical Tripos Part III at Trinity College, Cambridge, and gained his PhD at Sussex University. He has also worked as a software engineer in the Telecoms industry, as a musician, and as a quantitative analyst for a hedge fund. Lionel has developed and applied statistical methods from time series analysis and econometrics, in particular Granger Causality, transfer entropy, state-space modelling and cointegration, to the functional analysis of neurophysiological data. More recently, he has been researching notions of emergence in complex systems, and has developed the information-theoretic framework of “dynamical independence” for the identification and discovery of emergent macroscale dynamics in neural systems and beyond.