Mathematical modeling of axonal injuries and damaged neural networks
Pedro D. Maia

Axonal injury is a ubiquitous form of pathology across multiple brain 
disorders, such as traumatic brain injury, Alzheimer's disease, and 
others. In this talk, we will discuss how to model their effects to 
the spike-train propagation by studying heterogeneous active 
cable equations. Then, we will show how we can incorporate these 
effects into a neuron population to assess how network dysfunction 
relates to network impairment.