Phase transitions of Integrated Information in the Generalized Ising Model of the Brain

Abstract

The bold framework of the Integrated Information Theory of consciousness are explored in this thesis in the context of the generalized Ising model of the brain. Small 5-node networks are simulated on the Ising model with Metropolis transitions where the fitting parameter T is fit to empirical functional connectivity matrices of healthy human subjects. Fitting to criticality, results indicate that integrated information undergoes a phase transition at the critical temperature Tc. The results are interpreted in the context of an emerging perspective of the science of complexity and perhaps even the philosophy of science; the universe as a self-organizing critical system undergoing cascades of phase transitions into complexity

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