Fig. 3. Corner cell coding is sensitive to the proximity of the walls that constitute a corner.
a, Schematic of the open field arena and sessions in which a discrete corner was inserted into the centre of the environment. Orange bars indicate the locations of local visual cues. b, Raster plots and the corresponding rate maps of three representative corner cells from three different mice, plotted as in Fig. 1f. Each column is a cell in which its activity was tracked across sessions. Note that rate maps for each cell were plotted to have the same colour-coding scale for maximum (red) and minimum (blue) values. c, Corrected peak spike rates of baseline-identified corner cells at the environmental corners (not the inserted corner) across non-baseline sessions (repeated measures ANOVA: F(1.99, 13.99) = 0.30, P = 0.74; n = 8 mice). Black dots represent mean ± s.e.m.; grey lines represent each animal. d, Corrected peak spike rates of baseline-identified corner cells at the inserted corner across all the sessions, plotted as in c (repeated measures ANOVA: F(2.42, 16.96) = 25.62, P < 0.0001; two-tailed Wilcoxon signed-rank test: baseline versus 0 cm, P = 0.0078; baseline versus 1.5 cm, P = 0.0078; baseline versus 3 cm, P = 0.0078; baseline versus 6 cm, P = 0.0078; 0 cm versus 1.5 cm, P = 0.0078; 0 cm versus 3 cm, P = 0.0078; 0 cm versus 6 cm, P = 0.0078; n = 8 mice). e, Same as d, but for non-corner cells (repeated measures ANOVA: F(1.57, 10.97) = 0.33, P = 0.68; n = 8 mice).