Although the underlying principles and approaches are different, most of them have very similar forms. The present letter analyzes a general form of statistically efficient algorithm and give a necessary and sufficient condition for the separating solution to be a stable equilibrium of a general learning algorithm. Moreover, when the separating solution is unstable, a simple method is given for stabilizing the separating solution by modifying the algorithm. The conditions are identical to the ones derived by Amari et al.
Detailed derivation is left in a full paper.
S. Amari, T.-P. Chen, and A. Cichocki, Stability analysis of adaptive blind source separation, to appear in Neural Networks. Doc 64 Efficient and Adaptive Estimation for Semiparametric Models - Bickel, Klaassen et al. The graph only includes citing articles where the year of publication is known.