Data-driven neural mass modelling 

    Escuain i Poole, Lara Sofia (Date of defense: 2019-03-28)

    The brain is a complex organ whose activity spans multiple scales, both spatial and temporal. The computational unit of the brain is thought to be the neurone. At the microscopic level, neurones communicate via action ...

    Machine learning methods for the characterization and classification of complex data 

    Amil Marletti, Pablo (Date of defense: 2020-02-11)

    This thesis work presents novel methods for the analysis and classification of medical images and, more generally, complex data. First, an unsupervised machine learning method is proposed to order anterior chamber OCT ...

    Modelling emergent rhythmic activity in the cerebal cortex 

    Dornelles, Leonardo dalla Porta (Date of defense: 2022-10-07)

    The brain, a natural adaptive system, can generate a rich dynamic repertoire of spontaneous activity even in the absence of stimulation. The spatiotemporal pattern of this spontaneous activity is determined by the brain ...