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. Author manuscript; available in PMC: 2013 Sep 6.
Published in final edited form as: Neuron. 2012 Sep 6;75(5):916–927. doi: 10.1016/j.neuron.2012.06.035

Figure 4. Longer trial length is associated with collapsing decision bounds.

Figure 4

(A) Behavioral accuracy conditional on sniff number is shown for four different mixture difficulty levels (100%: red; 87.5%: green; 75%: blue; 62.5%: purple), from the open-sniff paradigm in Experiment 2. Data are averaged across subjects and across mixture difficulty (e.g., 87.5% lemon trials and 87.5% clove trials represented as 87.5%). (B) Model simulation of a collapsing-bounds DDM resembles the behavioral profiles in panel A, demonstrating that, for the same mixture difficulty level, choice accuracy declines with longer trials. (C) Cumulative distribution functions (CDFs) of the behavioral RTs (blue) significantly differed from the CDF of modeled RTs (red) based on a fixed-bounds DDM (p < 0.001; Kolmogorov-Smirnov test; two-sample). Mean, solid lines; ± SEM, dashed lines. (D) In contrast, no significant difference was observed between the CDF of behavioral RTs and the CDF of modeled RTs from the collapsing-bounds DDM (p > 0.05).