neat.SOVTree.calc_impedance_matrix

SOVTree.calc_impedance_matrix(freqs=None, loc_arg=None, sov_data=None, eps=0.0, mem_limit=500)[source]

Compute the impedance matrix for a set of locations

Parameters:

  • freqs (np.ndarray of complex or None (default)) – if None, returns the steady state impedance matrix, if a array of complex numbers, returns the impedance matrix for each Fourrier frequency in the array

  • loc_arg (None or list of locations)

  • sov_data (None or tuple of mode matrices) – One of the keyword arguments loc_arg or sov_data must not be None. If loc_arg is not None, the importance is evaluated at these locations (see neat.MorphTree.convert_loc_arg_to_locs()). If sov_data is not None, it is a tuple of a vector of the reciprocals of the mode timescales and a matrix with the corresponding spatial mode functions.

  • eps (float) – the cutoff threshold in relative importance below which modes are truncated

  • mem_limit (int) – parameter governs whether the fast (but memory intense) method or the slow method is used

Returns:

the impedance matrix, steady state if freqs is None, the frequency dependent impedance matrix if freqs is given, with the frequency dependence at the first dimension [MOhm ]

Return type:

np.ndarray of floats (ndim = 2 or 3)