Figure 6.

Behavioral performance seems to be limited by cue-dependent noise. (A) Distribution across mice (n = 20) of the difference between best-fit sensory and diffusion noise parameters (σ²_s and σ²_a, respectively) from the Brunton et al. model, color coded according to whether they are significantly different from zero according to 95% confidence intervals determined from cross-validation runs. Arrowhead, population mean. (B) Distribution across mice of the difference between best-fit sensory and initial noise parameters (σ²_s and σ²_i, respectively) from the Brunton et al. model. Conventions as in (A). (C) Distribution of the memory leak (λ) parameter from the Brunton et al. model. Conventions as in (A). (D) Best-fit parameters for the SDT model (aggregate mouse data). Black data points: parameters from the full model where σ² is determined separately for each tower count. Yellow line: prediction from the two-parameter scalar variability model. Green line: prediction from the two-parameter linear variance model. Scalar variability yielded significantly better predictions (P < 0.003). Error bars: standard deviation from bootstrapping iterations (n = 200).