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Dstat was used to calculate the effect sizes from the two means and the mean error sum of squares[ 61].
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19 20 and 21 23, respectively; where A v, SD, RMSE, SSE and RE are the average mean, standard deviation, root mean square error, sum of square error and relative error, respectively.
According to Equation 4, 1/tr J ς (0) bounds the mean square error summed across all dimensions ε (x ^ | x ).
Because the final goal is to find the relation between the input x i and the target t i, the activation function g can approximate these n received samples with zero mean error, such that ( sum limits _{j=1}^{N} left lVert t_{i} - y_{i}right rVert = 0 ).
This difference is more pronounced in the cumulative error (p < 0.01, Wilcoxon rank-sum test on mean error over the first ten trials; Figure 2F) assessing feed-forward and feedback control.
Compared to the controls, the random rotation group showed significant (p < 0.01, Wilcoxon rank-sum test on mean error over the first ten trials) facilitation of feed-forward learning in the +60° rotation block.
Again, we see a trend in the initial learning of the second +60° rotation block showing that feed-forward learning in the random rotation group was facilitated compared to that in the naive group (p < 0.02, Wilcoxon rank-sum test on mean error over the first ten trials).
Error sum of square.
predictive error sum of squares.
angular mean error.
Accuracy was high; mean number of errors summed across all conditions was 1.2, and no differences in number of errors between groups or conditions were found (F < 1, NS).
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