Methods developed for Computational Systems Biology are finding increasing use in Computational Neuroscience to understand the details of molecular cascades that influence neuron electrical activity -- many and likely most voltage-sensitive ion channels and ligand sensitive channels (synapses) are modulated by such cascades. Additionally, examination of metabolomics requires consideration of the role of ATP in the functioning of cells for applications to a variety of brain diseases. This workshop on reaction-diffusion modeling will provide an introduction to the different types research questions being addressed using reaction-diffusion modeling. It will also identify the various technical approaches and bottlenecks encountered in addressing reaction-diffusion problems -- stochastic vs deterministic simulation, simulation at 1D, 2D and 3D, tetrahedra vs cubic arrays, difficulties of coupling to membrane mechanisms and challenges of parallelization.
For more information, including schedule, speakers, and how to register, see http://www.neuron.yale.edu/neuron/static/ram/cns2017rxd/index.html .