Mathematical modelling and signal processing of physiological systems

One research topic concerns the development of biologically inspired neural networks. In this area, the group develops models of sensory integration between different modalities (auditory, visual and tactile), to achieve a theoretical understanding of the underlying neural mechanisms and for potential model application in clinics in order to improve cognitive deficits. Other models are developed to analyze object recognition and formulate hypotheses on semantic memory and its relationship with language acquisition. Models of oscillatory neuronal populations are used to investigate the role of brain rhythms in sleep and wakefulness and to study the memorization of event sequences in the hippocampus. Basal ganglia models are developed to study the response of Parkinsonian subjects to levodopa treatment. A further topic concerns models of the cardiorespiratory regulation and cerebral circulation, aimed at understanding the role of different control mechanisms in physio-pathological conditions. The modeling approach is supported by an experimental approach devoted to the acquisition and processing of physiological signals with particular reference to electrocardiographic signals for the analysis of heart variability, and electroencephalographic signals (EEG) interpreted via advanced techniques (including the estimation of activity in the cortical sources).

Settori ERC

  • LS2_14 - Biological systems analysis, modelling and simulation 
  • PE7_7 – Signal processing 
  • LS5_10 – Neuroimaging and computational neuroscience 

Scientific coordinator: Prof. Elisa Magosso 

Faculty

Cristiano Cuppini

Senior assistant professor (fixed-term)

Elisa Magosso

Associate Professor

Mauro Ursino

Full Professor

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