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. Author manuscript; available in PMC: 2016 Apr 1.
Published in final edited form as: Neuroimage. 2015 Jan 3;109:35–49. doi: 10.1016/j.neuroimage.2014.12.072

Figure 8.

Figure 8

Drift-diffusion model for high-noise trials. Posterior densities from a diffusion model regression of fMRI accumulation slope and drift-rate for high-noise correct and error trials. A separate diffusion model was estimated for high-noise trials only (69–70% noise) and contained a factor of accuracy (correct, error). Results show significant positive correlations between drift-rate and slope for correct trials (both stimuli) and significant anti-correlations for error trials. Due to high error-rates in these conditions, the effects displayed in Figure 6 were unexpectedly non-significant (faces) or anti-correlated (houses).