neat.SOVTree.compute_lin_terms

SOVTree.compute_lin_terms(net, sov_data=None, eps=0.0001)[source]

Construct linear terms for net so that transfer impedance to soma is exactly matched

Parameters:

  • net (neat.NETree) – the neural evaluation tree (NET)

  • sov_data (None or tuple of mode matrices) – 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

Returns:

lin_terms – the kernels associated with linear terms of the NET, keys are indices of their corresponding location stored inder ‘net eval’

Return type:

dict of {int: neat.Kernel}