In this two-part talk we will demonstrate how various theoretical models of neural network can be used to develop new insights into epilepsy. The theme of the first part works towards a network characterization of epileptogenesis. A mathematical framework
is developed to study the properties of neural networks using time-scale separation and Dale’s law of synaptic connectivity. The second part will discuss a data-driven framework for neural modelling, explaining different types of seizures.
Electrical & Computer Engineering
Jacobs Hall, Room 2907