neat.CompartmentTree.computeC

CompartmentTree.computeC(alphas, phimat, weights=None, tau_eps=5.0)[source]

Fit the capacitances to the eigenmode expansion

Parameters

  • alphas (np.ndarray of float or complex (shape=(K,))) – The eigenmode inverse timescales (1/s)

  • phimat (np.ndarray of float or complex (shape=(K,C))) – The eigenmode vectors (C the number of compartments)

  • weights (np.ndarray (shape=(K,)) or None) – The weights given to each eigenmode in the fit