Extended Data Fig. 1: Retinotopy and neural changes after learning for different populations.
From: Unsupervised pretraining in biological neural networks
a, Example stimulus crops. b, Convolutional filter bank used for mapping retinotopy. c, Retinotopic maps for an example mouse after alignment to a reference atlas. d, The distribution of selective neurons for leaf1 and circle1 for mice with unsupervised exposure to grating stimuli. Similar to Fig. 1i. e, Number of selective neurons as a function of threshold. f, Same as Fig. 1j split into leaf1- selective (left) and circle1- selective neurons (right). g, Similar to Fig. 1j for V1 neurons split into a medial and a lateral part. All data are mean ± s.e.m. *P <0.05, **P <0.01, ***P <0.001.
