Models that contain the Modeling Application : STEPS (Home Page)

(STochastic Engine for Pathway Simulation (STEPS) is a package for exact stochastic simulation of reaction-diffusion systems in arbitrarily complex 3D geometries. Our core simulation algorithm is an implementation of Gillespie's SSA, extended to deal with diffusion of molecules over the elements of a 3D tetrahedral mesh. While it was mainly developed for simulating detailed models of neuronal signaling pathways in dendrites and around synapses, it is a general tool and can be used for studying any biochemical pathway in which spatial gradients and morphology are thought to play a role.)
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    Models
1.  A model of cerebellar LTD including RKIP inactivation of Raf and MEK (Hepburn et al 2017)
2.  Ca2+ requirements for Long-Term Depression in Purkinje Cells (Criseida Zamora et al 2018)
3.  Calcium dynamics depend on dendritic diameters (Anwar et al. 2014)
4.  Cerebellar long-term depression (LTD) (Antunes and De Schutter 2012)
5.  IP3R model comparison (Hituri and Linne 2013)
6.  Parallel STEPS: Large scale stochastic spatial reaction-diffusion simulat. (Chen & De Schutter 2017)
7.  Python-based toolkits for STEPS (Chen and De Schutter 2014)
8.  Stochastic calcium mechanisms cause dendritic calcium spike variability (Anwar et al. 2013)

Re-display model names with descriptions