Skip to main content
. 2018 Jun 13;38(24):5632–5648. doi: 10.1523/JNEUROSCI.3638-17.2018

Table 1.

Bayes factor analyses of flicker rate and expectation status of the target

Neural measures Flicker rate comparison
Expectation comparisons
Fast vs slow flicker rate Expected vs unexpected Expected vs neutral Neutral vs unexpected
VN amp, tg-locked,
    200 to 300 ms t = −5.51, p < 0.001, BF10 = 545.62 t = 0.91, p = 0.38, BF10 = 0.36 t = 2.06, p = 0.06, BF10 = 1.35 t = −0.81, p = 0.43, BF10 = 0.33
CPP slope t = 3.52, p = 0.003, BF10 = 15.34 t = 0.48, p = 0.64, BF10 = 0.28 t = −1.64, p = 0.12, BF10 = 0.76 t = 1.85, p = 0.08, BF10 = 1.01
CPP amp, tg-locked,
    200 to 750 ms t = 7.36, p < 0.001, BF10 = 11,528 t = −0.93, p = 0.37, BF10 = 0.36 t = −0.001, p = 1.00, BF10 = 0.25 t = −0.64, p = 0.53, BF10 = 0.30
CPP amp, resp-locked,
    −300 to −200 ms t = 3.75, p = 0.002, BF10 = 23.55 t = −1.10, p = 0.29, BF10 = 0.42 t = −0.47, p = 0.65, BF10 = 0.27 t = −0.53, p = 0.60, BF10 = 0.28
    −100 to 0 ms t = 3.45, p = 0.003, BF10 = 13.69 t = 0.18, p = 0.86, BF10 = 0.25 t = −0.60, p = 0.56, BF10 = 0.29 t = 0.81, p = 0.43, BF10 = 0.33