Encyclopedia of Computational Neuroscience

Living Edition
| Editors: Dieter Jaeger, Ranu Jung

Kinetic Models of Postsynaptic Currents

Living reference work entry
DOI: https://doi.org/10.1007/978-1-4614-7320-6_355-1


Modeling synaptic currents and conductances is a central aspect of network simulations. The type of model for synaptic currents depends on the receptor type present in the synapse, as well as if one needs to include mechanisms such as the saturation of successive synaptic events and synaptic depression or facilitation. Kinetic models can provide a way to model these interactions in a compact form and can be analytic in some cases, leading to very fast algorithms to simulate synaptic interactions.

Detailed Description


Synaptic currents and conductances represent the most common type of interaction between neurons, and they must be simulated in neuronal networks using the most efficient model as possible. It was shown previously that simplified two-state kinetic models can be used to simulate postsynaptic currents with a reasonable degree of accuracy (Destexhe et al. 1994a, 1998), as an alternative to the more complex Markov models. This approach is similar in...


NMDA Receptor Reversal Potential Kinetic Scheme Maximal Conductance Synaptic Current 
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Further Reading

  1. Destexhe A, Sejnowski TJ (2001) Thalamocortical assemblies. Oxford University Press, Oxford, UKGoogle Scholar
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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.UNIC (Unit of Neuroscience Information and Complexity)CNRS (Centre national de la recherche scientifique)Gif-sur-YvetteFrance