References
Bhalla US, Wils S (2009) Reaction-diffusion modeling. In: De Schutter E (ed) Computational modeling methods for neuroscientists. The MIT Press, Cambridge, pp 61–91
Faas GC, Schwaller B, Vergara JL, Mody I (2007) Resolving the fast kinetics of cooperative binding: Ca2+ buffering by calretinin. PLoS Biol 5:2646–2660
Markram H, Roth A, Helmchen F (1998) Competitive calcium binding: implications for dendritic calcium signaling. J Comput Neurosci 5:331–348
Neher E (1998) Usefulness and limitations of linear approximations to the understanding of Ca++ signals. Cell Calcium 24:345–357
Schmidt H (2012) Three functional facets of calbindin D-28k. Front Mol Neurosci 5:25
Schmidt H, Stiefel K, Racay P, Schwaller B, Eilers J (2003) Mutational analysis of dendritic Ca2+ kinetics in rodent Purkinje cells: role of parvalbumin and calbindin D28k. J Physiol (Lond) 551:13–32
Schmidt H, Brachtendorf S, Arendt O, Hallermann S, Ishiyama S, Bornschein G, Gall D, Schiffmann SN, Heckmann M, Eilers J (2013) Nanodomain coupling at an excitatory cortical synapse. Curr Biol 23:244–249
Further Reading
De Schutter ED (2009) Computational modeling methods for neuroscientists. The MIT Press, Cambridge
Smith GD (2000) Modeling local and global calcium signals using reaction- diffusion equations. In: Computational neuroscience. CRC Press, Boca Raton
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Schmidt, H. (2013). Calcium Buffering: Models of Ca2+ Dynamics and Steady-State Approximations. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_177-1
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DOI: https://doi.org/10.1007/978-1-4614-7320-6_177-1
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