gap_junction – Synapse type for gap-junction connections

Description

gap_junction is a connector to create gap junctions between pairs of neurons. Gap junctions are bidirectional connections. In order to create one accurate gap-junction connection between neurons i and j two NEST connections are required: For each created connection a second connection with the exact same parameters in the opposite direction is required. NEST provides the possibility to create both connections with a single call to Connect via the make_symmetric flag.

The value of the parameter delay is ignored for connections of type gap_junction.

See also [1], [2].

Sends

GapJunctionEvent

References

[1]

Hahne J, Helias M, Kunkel S, Igarashi J, Bolten M, Frommer A, Diesmann, M (2015). A unified framework for spiking and gap-junction interactions in distributed neuronal network simulations. Frontiers in Neuroinformatics 9:22. DOI: https://doi.org/10.3389/fninf.2015.00022

[2]

Mancilla JG, Lewis,TJ, Pinto DJ, Rinzel J, Connors BW (2007). Synchronization of electrically coupled pairs of inhibitory interneurons in neocortex. Journal of Neuroscience 27:2058-2073. DOI: https://doi.org/10.1523/JNEUROSCI.2715-06.2007

See also

hh_psc_alpha_gap

Examples using this model

• Gap Junctions: Inhibitory network example

• Gap Junctions: Two neuron example