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Thesis

Simulating brain resting-state activity: what matters?

Abstract:

In the field of computational neuroscience, large-scale biophysical modelling is a bottom-up approach to study the interaction between brain structure and function. In this thesis, we propose two models of varying biophysical plausibility as a mechanistic explanations for spontaneous brain activity, as measured with magnetoencephalography (MEG).

Mathematically, these models take the form of large systems of non-linear coupled delay-differential equations, and we implement software ...

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Department:
University of Oxford - Psychiatry

Contributors

Department:
University of Oxford - NDCN
Role:
Examiner
Department:
University of Nottingham - Mathematical Sciences
Role:
Examiner
Department:
University of Oxford - Psychiatry
Role:
Supervisor
Department:
University of Oxford - NDCN
Role:
Supervisor
Department:
University of Nottingham - SPMIC
Role:
Supervisor
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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