simrun ❭ synaptic_strength_fitting ❭ run_ex_synapses

run_ex_synapses¶

simrun.synaptic_strength_fitting.run_ex_synapses(neuron_param, network_param, celltype, gAMPA=None, gNMDA=None, gGABA=None, vardt=False, tStim=None, tEnd=None, mode='cells')¶

Simulate all EPSPs of a given celltype, one by one.

This function is used in the PSPs class to simulate each synapse.

Parameters:¶

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.
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.
tStim (float) – The time of the synaptic activation. Default: None.
tEnd (float) – The end time of the simulation. Default: None.
mode (str) – Whether to activate each synapse one by one, or each cell one by one. A presynaptic cell may have multiple synaptic connections with the neuron model (i.e. the Cell). Options: ('cells', 'synapses')

Returns:¶

A tuple containing the votlage bbaseline, and voltage traces of all synapses. Format: (t\_baseline, v\_baseline, [t\_vecs], [v\_vecs])

Return type:¶

tuple