neat.CompartmentFitter.fitSynRescale

CompartmentFitter.fitSynRescale(c_locarg, s_locarg, comp_inds, g_syns, e_revs, fit_impedance=False, channel_names=None, recompute=False)[source]

Computes the rescaled conductances when synapses are moved to compartment locations, assuming a given average conductance for each synapse.

Parameters

  • c_locarg (list of locations or string (see documentation of) – MorphTree._convertLocArgToLocs() for details) The compartment locations

  • s_locarg (list of locations or string (see documentation of) – MorphTree._convertLocArgToLocs() for details) The synapse locations

  • comp_inds (list or numpy.array of ints) – for each location in [s_locarg], gives the index of the compartment location in [c_locarg] to which the synapse is assigned

  • g_syns (list or numpy.array of floats) – The average conductances for each synapse

  • e_revs (list or numpy.array of floats) – The reversal potential of each synapse

  • fit_impdedance (bool (optional, default False)) – Whether to also use the reproduction of the rescaled impedance matrix as target.

  • channel_names (list of str or None (default)) – List of ion channels to be included in impedance matrix calculation. None includes all ion channels

  • recompute (bool (defaults is False)) – Whether or not to recompute the impedance tree for this channel configuration

Returns

g_resc – The rescale values for the synaptic weights

Return type

numpy.array of floats