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The NIMBLE project focuses on developing advanced Bayesian methods for automatic source estimation from magnetoencephalography data. By utilizing stochastic geometry and point processes, it aims to enhance the analysis of brain activity, facilitating non-invasive diagnosis and monitoring of neurological conditions.
Functional neuro-imaging is a lively field in contemporary science, with a large number of open research problems and many clinical applications including the non-invasive diagnosis and monitoring of brain conditions such as epilepsy, Alzheimer, Parkinson’s, and brain cancer.
In this context, Magnetoencephalography is characterized by an outstanding temporal resolution, and is currently the best available technique for investigating the activity of different brain regions on a millisecond time s…
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