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. 2022 Apr 30;25(5):104338. doi: 10.1016/j.isci.2022.104338

Table 3.

Dependent process model parameter estimates and fit statistics

Flat model 20Hz Unstimulated 20Hz Stimulated 70Hz Unstimulated 70Hz Stimulated AIC BIC Δ with vb model
ve 1.198 1.197 1.197 1.997 1.999 −782.939 −773.411 14.485
vb −1.052 −1.054 −1.064 −1.053 −1.016 −797.424 −787.896
a 0.443 0.439 0.443 0.442 0.434 −789.094 −779.656 8.24
tr 0.44996 0.44996 0.44996 0.44999 0.44969 −792.392 −782.864 5.032

Best fit parameter estimates for braking drift rate (vb), execution drift rate (ve), boundary height (a) and onset delay (tr). The last two columns show the Akaike information criterion (AIC), and Bayesian information criterion (BIC) as complexity penalized goodness-of-fit measures. Lower values in all three measures imply a better fit to the data.