Fig 6. Slope of psychometric curve depends on input temporal structure.

a) Example of psychometric curve for a single observer, IR_F_23. Symbols: binned detection probability, lines: fitted sigmoid. Color code marked in legend. b) Estimated slopes of psychometric curves for all observers (each colored dot is an individual). On average, the slope increases for more slowly varying input signals: 29.3 ± 2.5 32.8 ± 4.2 36.5 ± 2.7 for White, Pink and Brown respectively. Errorbars mark the standard deviation (STD) across observers. c) Individual slopes relative to White session: Slope estimated for White signal is subtracted from slopes of the other signals for each observer individually. Statistical T-test performed, significant changes were found with p-values 0.02 and 0.0003 respectively.