neat.SOVTree.computeLinTerms¶
-
SOVTree.
computeLinTerms
(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 notNone
, 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}