Inferring neural circuit structure from datasets of heterogeneous tuning curves
Fig 4
Summary of the recurrent SSN model fit to simulated V1 tuning curve data.
(A) Data and model tuning curves at three different stages of training. (B) KS distance between the data and model distributions of four summary statistics characterizing the tuning curves, throughout training. Vertical dashed lines mark the epochs at which curves in panel A are sampled. (C) Scatter plots of peak rate vs. suppression index (S.I.) for the training data, the WGAN fit, and moment matching fit. (D) Cumulative distribution functions (CDF) for preferred stimulus size and normalized participation ratio of the data, the WGAN fit, and moment matching.