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Chen W, De Schutter E (2014) Python-based geometry preparation and simulation visualization toolkits for STEPS. Front Neuroinform 8:37 [PubMed]

   Python-based toolkits for STEPS (Chen and De Schutter 2014)

References and models cited by this paper

References and models that cite this paper

Andrews SS (2012) Spatial and stochastic cellular modeling with the Smoldyn simulator. Methods Mol Biol 804:519-42 [Journal] [PubMed]
Antunes G, De Schutter E (2012) A stochastic signaling network mediates the probabilistic induction of cerebellar long-term depression. J Neurosci 32:9288-300 [Journal] [PubMed]
   Cerebellar long-term depression (LTD) (Antunes and De Schutter 2012) [Model]
Beazley DM (1996) SWIG: an easy to use tool for integrating scripting languages with C and C++ Proceedings of the 4th Annual USENIX Tcl-Tk Workshop, Monterey, CA.
Davison AP, Brüderle D, Eppler J, Kremkow J, Muller E, Pecevski D, Perrinet L, Yger P (2008) PyNN: A Common Interface for Neuronal Network Simulators. Front Neuroinform 2:11 [Journal] [PubMed]
Diesmann M, Gewaltig MO (2002) NEST: An environment for neural systemssimulations Forschung und wisschenschaftliches Rechnen, Plesser T:Macho V, ed. pp.43
Doi T, Kuroda S, Michikawa T, Kawato M (2005) Inositol 1,4,5-trisphosphate-dependent Ca2+ threshold dynamics detect spike timing in cerebellar Purkinje cells. J Neurosci 25:950-61 [Journal] [PubMed]
   Spike timing detection in different forms of LTD (Doi et al 2005) [Model]
Eppler JM, Helias M, Muller E, Diesmann M, Gewaltig MO (2008) PyNEST: A Convenient Interface to the NEST Simulator. Front Neuroinform 2:12 [Journal] [PubMed]
Gillespie DT (1977) Exact stochastic simulation of coupled chemical reactions. Journal Of Physical Chemistry 81:2340-2361
Harris KM, Stevens JK (1989) Dendritic spines of CA 1 pyramidal cells in the rat hippocampus: serial electron microscopy with reference to their biophysical characteristics. J Neurosci 9:2982-97 [PubMed]
Hattne J, Fange D, Elf J (2005) Stochastic reaction-diffusion simulation with MesoRD. Bioinformatics 21:2923-4 [Journal] [PubMed]
Hepburn I, Cannon R, De Schutter E (2013) Efficient calculation of the quasi-static electrical potential on a tetrahedral mesh and its implementation in STEPS. Front Comput Neurosci 7:129 [Journal] [PubMed]
Hepburn I, Chen W, Wils S, De Schutter E (2012) STEPS: efficient simulation of stochastic reaction-diffusion models in realistic morphologies. BMC Syst Biol 6:36 [Journal] [PubMed]
Karlsson B (2005) Beyond the C++ Standard Library: An Introduction to Boost
Kotaleski JH, Blackwell KT (2010) Modelling the molecular mechanisms of synaptic plasticity using systems biology approaches. Nat Rev Neurosci 11:239-51 [Journal] [PubMed]
Ray S, Bhalla US (2008) PyMOOSE: Interoperable Scripting in Python for MOOSE. Front Neuroinform 2:6 [Journal] [PubMed]
   Moose/PyMOOSE: interoperable scripting in Python for MOOSE (Ray and Bhalla 2008) [Model]
Santamaria F, Wils S, De Schutter E, Augustine GJ (2006) Anomalous diffusion in Purkinje cell dendrites caused by spines. Neuron 52:635-48 [Journal] [PubMed]
Santamaria F, Wils S, De Schutter E, Augustine GJ (2011) The diffusional properties of dendrites depend on the density of dendritic spines. Eur J Neurosci 34:561-8 [Journal] [PubMed]
Stiles JR, Bartol TM (2001) Monte Carlo methods for simulating realistic synaptic microphysiology using MCell Computational Neuroscience: Realistic Modelling for Experimentalists, DeSchutter E, ed. pp.87
Wils S, De Schutter E (2009) STEPS: Modeling and Simulating Complex Reaction-Diffusion Systems with Python. Front Neuroinform 3:15 [Journal] [PubMed]
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