simrun ❭ synaptic_strength_fitting ❭ run_ex_synapse

run_ex_synapse

simrun.synaptic_strength_fitting.run_ex_synapse(cell_nw_generator, neuron_param, network_param, celltype, preSynCellID, gAMPA=None, gNMDA=None, gGABA=None, vardt=False, return_cell=False, synapseID=None, tEnd=None, tStim=None)

Simulate a single excitatory or inhibitory synapse

This is the core function to activate a single synapse and run the simulation. Used in the PSPs class to simulate each synapse.

For excitatory synapses, gAMPA and gNMDA must be specified, and not gGABA. For inhibitory synapses, only gGABA may be specified.

Parameters:

  • cell_nw_generator (callable) – A callable that returns a Cell and NetworkMapper when called.

  • neuron_param (ParameterSet) – The Cell parameters.

  • network_param (ParameterSet) – The Network parameters.

  • celltype (str) – The celltype to activate the synapse for. Used to fetch the correct network parameters.

  • preSynCellID (int) – The presynaptic cell ID to activate the synapse for. Default: None.

  • gAMPA (float) – The AMPA conductance value. Default: None.

  • gNMDA (float) – The NMDA conductance value. Default: None.

  • gGABA (float) – The GABA conductance value. Default: None.

  • vardt (bool) – Whether to use the variable step size solver. Default: False.

  • return_cell (bool) – Whether to return the Cell object. Default: False.

  • synapseID (int) – The synapse ID to activate. If None, all synapses assigned to the presynaptic cell get activated synchronously during the simulation. Default: None.

  • tEnd (float) – The end time of the simulation. Default: None.

  • tStim (float) – The time of the synaptic activation. Default: None.

Returns:

A tuple of the time vector and the voltage trace at the soma.

Return type:

tuple