Fig. 5: Natural movie forecast performance depends on specific properties of the recurrent connections.
From: Waves traveling over a map of visual space can ignite short-term predictions of sensory input
a Several examples of closed-loop forecast performance. Structural similarity (SSIM) between a forecast frame and the ground truth as a function of video frame during closed-loop forecasting. Each curve corresponds to a different ratio of recurrent strength to input strength. Curves have been smoothed by a moving-average filter (filter width of 30 time steps). Shaded error is the absolute difference between filtered and unfiltered. b Total structural similarity, in which a single SSIM is computed for the whole movie as a function of the recurrence-to-input ratio. In the parameter space, each point differs only in recurrent strength. Smoothing and error shading is the same as in (a). Source data are provided as a Source Data file.
