Systems Neuroscience is an approach to brain sciences that seeks the fundamental principles of brain organisation, dynamics and function across a hierarchy of spatial and temporal scales. It is a rapidly growing field that differs considerably from the traditional reductionist paradigm in neuroscience that seeks purely sufficient causes for local phenomena. In contrast, systems neuroscience seeks unifying explanations for emergent phenomena.
The work of our group embodies these principles across three broad domains – empirical, computational and clinical neuroscience. The overarching aim of this work is to contribute towards unifying models of brain architecture, dynamics and cognitive (dys)function. These models then inform the design of brain imaging experiments into major mental illnesses.
- Modelling the effects of transcranial magnetic stimulation on large-scale brain dynamics
- How brain dynamics emerge from energy constraints
- Computational models of brain network dynamics
- Brain dynamics following (un-)successful ageing
- Simultaneous EEG-fMRI: Functional MRI Brain Networks related to EEG NF Neurofeedback learning
- Behaviour-induced transitions in whole-brain network dynamics
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