simrun ❭ synaptic_strength_fitting ❭ ePSP_summary_statistics

ePSP_summary_statistics¶

simrun.synaptic_strength_fitting.ePSP_summary_statistics(vt, threashold=0.1, tPSPStart=100.0)¶

Calculate summary statistics of the PSP voltage and timing.

Parameters:¶

• vt (defaultdict) – Voltage traces and activation times, as returned by get_voltage_traces().

• threashold (float) – Minimum voltage deflection to be considered as a response.

• tPSPStart (float) – Timepoint of synapse activation (ms).

Returns:¶

A table of summary statistics.

Return type:¶

pd.DataFrame

Example:

>>> vt = psp.get\_voltage\_and\_timing(method='dynamic\_baseline')
>>> ePSP\_summary\_statistics(vt)
                    epspMean   epspStd   epspMed   epspMin   epspMax      tMean      tStd    tMed
celltype gAMPA gNMDA
L2      0.5   0.5   0.288331  0.141456  0.262698  0.100779  1.440870  15.509268  2.305882  15.050
        1.0   1.0    0.538904  0.273115  0.500306  0.129087  2.739804  15.696267  2.420884  15.150
        1.5   1.5    0.773226  0.395746  0.707955  0.181199  3.927223  15.741435  2.441578  15.175
        2.0   2.0    0.994781  0.513567  0.891020  0.108587  5.031582  15.881431  2.539182  15.350
...