Fig. 5: Correlation between ON/OFF domains and fluctuations in the balance of ON/OFF representation at the input.

Each panel displays the result of one experiment. In each case, the top row displays the density of ON (\({f}_{{{{{{\rm{on}}}}}}}^{x}\)) and OFF (\({f}_{{{{{{\rm{off}}}}}}}^{x}\)) cells in canonical cortical space, along with their difference, \({f}_{{{{{{\rm{on}}}}}}}^{x}-{f}_{{{{{{\rm{off}}}}}}}^{x}\). The bottom row shows the density in the position of receptive field centers for ON (\({f}_{{{{{{\rm{on}}}}}}}^{y}\)) and OFF (\({f}_{{{{{{\rm{off}}}}}}}^{y}\)) cells in canonical visual space, along with their difference, \({f}_{{{{{{\rm{on}}}}}}}^{y}-{f}_{{{{{{\rm{off}}}}}}}^{y}\). In all panels, both axes span the range from −2.5 to 2.5. Level sets showing areas where fluctuations are above or below the expected at the p = 0.001 significance level are shown by red and blue solid curves (Monte Carlo simulations with random shuffling of the ON/OFF labels in the population). The correlation coefficient between the fluctuations \({f}_{{{{{{\rm{on}}}}}}}^{x}-{f}_{{{{{{\rm{off}}}}}}}^{x}\) and \({f}_{{{{{{\rm{on}}}}}}}^{y}-{f}_{{{{{{\rm{off}}}}}}}^{y}\) is shown at the inset along with the statistical significance reached in each case (N = 1000 Monte Carlo simulations with reshuffling of ON/OFF labels). In each panel, the distributions are normalized by their maximum value and the colormap ranges from 0 to 1 (bottom left), while the differences of the distributions are shown normalized to their maximum absolute value, with the colormap ranging from −1 to 1.