Mathematical Biology Seminar Pedro Maia, UCSF Friday, Feb.8, 2019 3:05pm in LCB 219 Computational neurology and translational modeling of brain disorders Abstract: There is an ample need for computational models in neurology. Traumatic brain injuries and neurodegenerative diseases affect millions of people every year, and in all these disorders, pathologies occur across multiple spatial scales: at a micro scale, the accumulation of misfolded proteins leads to the neuron?s axon to suffer traumatic injury or demyelination. As injured neurons fail to transmit electrical information, neuronal networks at a mesoscale lose their specialized functionality. At a whole-brain level, one may observe large-scale network disruption that will ultimately lead to measurable cognitive deficits. The emerging field of computational neurology provides an important window of opportunity for modeling of complex biophysical phenomena, for scientific computing, for understanding functionality disruption in neural networks, and for applying machine-learning methods for diagnosis and personalized medicine. In this talk we will explore in more details the clinical and biological significance of our computational methods and models.