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. Author manuscript; available in PMC: 2016 Mar 23.
Published in final edited form as: Neural Comput. 2015 May 14;27(7):1438–1460. doi: 10.1162/NECO_a_00744

FIGURE 3.

FIGURE 3

Quality of fit comparison between the two decoding algorithms. (A) Root-mean-squared error (rMSE) between the true positions of the animal and their estimated values averaged across 100 trials as a function of the overlap between mark spaces of two simulated neurons. Error bars represent 2 standard deviations from the mean rMSE. The dotted line represents the performance of clusterless decoding method. The solid line represents the performance of decoding with spike-sorting method. (B) Fraction of time that the true position values were covered by the 99% highest posterior density (HPD) region averaged across 100 trials as a function of the overlap between mark spaces of two simulated neurons. Error bars represent 2 standard deviations from the mean coverage probability. The dotted line represents the performance of clusterless decoding method. The solid line represents the performance of decoding with spike-sorting method.