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. Author manuscript; available in PMC: 2011 Jan 20.
Published in final edited form as: Neuroscience. 2010 Jan 20;165(2):436–444. doi: 10.1016/j.neuroscience.2009.10.060

Table 1.

Learning curve slopes and 95% confidence intervals

Training sessions only With pre- and post-tests
100-ms 350-ms 100-ms 350-ms
Consecutive
Average −0.030 (−0.05, −0.011) 0.002 (−0.021, 0.024) −0.069 (−0.102, −0.036) −0.020 (−0.039, −0.001)
Consistency −0.018 (−0.035, −0.0004) 0.006 (−0.01, 0.023) −0.030 (−0.043, −0.018) −0.009 (−0.018, −0.001)
Interleaved
Average −0.019 (−0.055, 0.016) −0.025 (−0.035, −0.015) −0.026 (−0.060, 0.007) −0.031 (−0.053, −0.010)
Consistency −0.012 (−0.028, 0.004) −0.004 (−0.012, 0.004) −0.009 (−0.024, 0.005) −0.004 (−0.011, 0.003)

Top value in each box is the mean learning curve slope; values in parentheses denote the 95% confidence interval (lower bound, upper bound). If the confidence interval is all in the negative range (slopes denoted in bold), the slope is significantly less than 0, indicating significant (p < 0.05) training phase learning for that condition and index of performance.