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. Author manuscript; available in PMC: 2022 Jul 12.
Published in final edited form as: Curr Biol. 2021 May 4;31(13):2785–2795.e4. doi: 10.1016/j.cub.2021.04.014

Figure 5. Vgg-face features and AlexNet features show a marked difference in coding illumination levels.

Figure 5.

A, Similarity matrices were computed for 913 faces from CAS-PEAL database using AM population responses (A1) and features of two network models, AlexNet (A2) and Vgg-face (A3). Each entry indicates the correlation between representations of two faces. The difference between the two matrices derived from the network models was computed (A4). Rows and columns of the differential matrix were shuffled according to the first principal component of the difference matrix (A5). The red squares outline face pairs taken from the first and last 100 faces: these face pairs showed a significantly higher representational similarity by Vgg-face compared to AlexNet. B, First 100 faces and last 100 faces along the direction of PC1 were divided into 20 groups of 10 faces. An average face after shape normalization was generated for each group. Also see Figure S5.