STARTS @ 8:00 A.M. (Evans Basement AB)
The goal of this workshop is to bring together a diverse group of neuroscientists to discuss and present recent advances in computational modeling of dynamical disease phenomena. Computational modeling holds great promise in improving our understanding of disease dynamics and in designing pharmacological, surgical and neuroprosthetic interventional strategies for neurological disorders. In this workshop, we will focus on how computational models can enhance our understanding of disease dynamics and predict emergence of pathological excitability states. Examples of pathological excitability states include hyper-excitability of sensorimotor reflex circuits leading to spasticity, hyper-synchrony of cortical networks leading to epileptiform activity and Parkinsonian rhythms. The models discussed will represent molecular, cellular and network constructs encompassing multiple levels of nervous system organization. The workshop will promote cross-talk on pathogenic mechanisms in multiple neurological conditions while providing opportunities for an open dialog amongst experimental, computational and clinical neuroscientists to further stimulate the utilization of computational models in predicting disease dynamics.