Inferring neural circuit structure from datasets of heterogeneous tuning curves
Fig 6
Comparison of conditional Wasserstein GAN and moment matching.
Distribution of the relative error (symmetric mean average percent error; sMAPE) for our proposed method (cWGAN, in purple) and moment matching (MM, in Green) across different hyperparameters (see Materials and methods). The bars denote the number of trainings, possibly with different hyperparameters, resulting in an sMAPE within the corresponding bin. cWGAN consistently produced lower estimation errors compared to moment matching.