Fig. 5
From: Neural correlates of user learning during long-term BCI training for the Cybathlon competition
Between-class distance in channels’ and Riemann domains. a–c Evolution over races of the between-class distance in channels’ domain a and Riemann domain c computed in the \(\mu\)-band (8–12 Hz) and \(\beta\)-band (16–26 Hz). Their corresponding linear fits and Pearson correlation coefficients (significance tested with Student t test distribution) were evaluated for the two years (2019, 2020) separately. Vertical thin lines indicate the date of each racing session, while vertical thick black lines represent the dates of decoder update. The break of 1 year is marked by a vertical red line. b–d Boxplots of between-class distance in channels’ domain b and Riemann domain d for \(\mu\)-band (left) and \(\beta\)-band (right) in the first and last 15 runs of 2019 and 2020 training periods. The box edges signify the 75th (top) and 25th (bottom) percentiles and the horizontal line the median of the corresponding distribution. The whiskers extend to the largest and smallest nonoutlier values. Single-run values are marked with filled circles. Statistically significant differences are shown with Tukey-Kramer post-hoc tests