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Modeling brain dynamics with spatial gradients

A core aim of neuroscience is to understand how the brain, with its staggering complexity of 100 billion neurons, makes sense of the world around it. Large-scale global initiatives more...

Supervisor(s): Fulcher, Ben (Dr)

Cumulative modeling of Maternal Immune Activation to assess risk factors of common neurodevelopmental disease

Neurodevelopmental disorders such as epilepsy, autism, Tourette syndrome or ADHD affect 10% of children. There is increasing evidence that maternal inflammation whilst pregnant, ter more...

Supervisor(s): Hofer, Markus (Dr)

ARTIFICIAL INTELLIGENCE/MACHINE LEARNING ASSISTED NEWBORN CRITICAL CARE (VIRTUAL CRITICAL CARE MODELING)

The most vulnerable critical care patients are newborn babies both those extremely premature and sick full term. High resolution physiological data is displayed for all patients but more...

Supervisor(s): McEwan, Alistair (Professor)

Algorithmic principles of navigating the brain using nanorobots

Over the past several years, high-throughput neuroscience methods have yielded comprehensive cellular maps of the entire brain. These data have revealed features, like distinctive m more...

Supervisor(s): Fulcher, Ben (Dr)