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Making sense of the mass data generated from firing neurons Dr Miguel Aguilera Scientists have achieved a breakthrough in predicting the behaviour of neurons in large networks operating at the mysterious edge of chaos. New research from the University of Sussex and Kyoto University outlines a new method capable of analysing the masses of data generated by thousands of individual neurons. The new framework outperforms previous models in predicting and assessing network properties by more accurately estimating a system’s fluctuations with greater sensitivity to parameter changes. As new technologies allow recording of thousands of neurons from living animals, there is a pressing demand for mathematical tools to study the non-equilibrium, complex dynamics of the high-dimensional data sets they generate. In this endeavour, the researchers hope to help answer key questions about how animals process information and adapt to environmental changes.

S amin moosaviHideaki shimazakiMarie sklodowska curieMiguel aguileraSchool of engineeringNature communicationsUniversity of sussexSchool of informatics at kyoto universityKyoto universityGraduate schoolAssociate professorEnvironmental changeMachine learningCarbon footprintVirtual realityResearch fellow