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.
This workshop is part of the CNS 2017 conference in Antwerp, Belgium. We will meet in room K.203 at the Universiteit Antwerpen.
You must register for CNS 2017 workshops to attend.
09:00 - 09:10 Welcoming remarks, discussion on what problems inspire us to consider the role of reaction-diffusion and what challenges we have faced 09:10 - 09:50 Reaction-diffusion -- foundations of multiscale modeling for the nervous system (William W Lytton) 09:50 - 10:30 Multiscale models of schizophrenia: gene networks to information in neuronal network (Jim Schwaber) 10:30 - 11:00 Coffee break 11:00 - 11:40 Model order reduction techniques with applications to describing reaction kinetics in neuronal and glial cells (Marja-Leena Linne) 11:40 - 12:20 Numerical discretization schemes for co-simulation of coupled electrical - chemical systems (Ekaterina Brocke) 12:20 - 12:30 Discussion: What do we wish our tools could provide? 12:30 - 14:00 Lunch break 14:00 - 14:40 Control of switching in complex reaction networks (Bill Kath) 14:40 - 15:20 Slow variables of epileptiform activity: metabolic candidates and computational properties. (Davide Lillo) 15:20 - 15:50 Coffee break 15:50 - 16:30 Using Finite Elements to model Electro-Diffusion in neural structures (Nicolas Doyon) 16:30 - 17:00 NeuroRD as an approach for large scale modeling of neuronal signaling pathways. (Joanna Jedrzejewska-Szmek) 17:00 - 17:30 Mesh based neuron modeling using STEPS: fully integrated stochastic molecular and electrophysiological simulation at 3D (Erik De Schutter) 17:30 - 18:00 Using NEURON to incorporate reaction-diffusion into cellular and network models. (Robert A McDougal)