Figure 1.

Overall model architecture. A number S of 2D flow fields depicting observer translations and rotations in a 3D world were processed by an array of F MT-like motion sensors, each tuned to a specific direction and speed of motion. MT-like activity values were then arranged into the columns of a data matrix, V, which served as input for NMF. The output of NMF was two reduced-rank matrices, W (containing B non-negative basis vectors) and H (containing hidden coefficients). Columns of W (basis vectors) were then interpreted as weight vectors of MSTd-like model units.