A study evaluates the feedback alignment (FA) algorithm as a biologically plausible alternative to backpropagation (BP) for training convolutional networks, finding that modified FA can achieve similar internal representations as BP. This suggests potential for FA in neural network training despite its previous limitations in scaling to convolutional architectures.