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Unsupervised Feature Learning Improves Prediction of Human Brain Activity in Response to Natural Images

Figure 4

Population parameter tuning curves of the SC model.

The population phase, location, orientation and spatial frequency tunings of the simple (solid lines) and complex cells (dashed lines) were quantified by fitting Gaussian functions to the median of their responses to Gabor wavelets that had different parameters. Each curve shows the median of their responses as a function of change in their preferred parameter. The complex cells were more invariant to phase and location than the simple cells.

Figure 4

doi: https://doi.org/10.1371/journal.pcbi.1003724.g004