TY - DATA T1 - Performances of the ndBMI when reducing information about the stimulation pattern. PY - 2014/03/13 AU - Alessandro Vato AU - Francois D. Szymanski AU - Marianna Semprini AU - Ferdinando A. Mussa-Ivaldi AU - Stefano Panzeri UR - https://plos.figshare.com/articles/figure/_Performances_of_the_ndBMI_when_reducing_information_about_the_stimulation_pattern_/961078 DO - 10.1371/journal.pone.0091677.g007 L4 - https://ndownloader.figshare.com/files/1418981 KW - neuroscience KW - computational neuroscience KW - Coding mechanisms KW - Motor systems KW - Sensory systems KW - algorithms KW - Bioengineering KW - Biomedical Engineering KW - Human factors engineering KW - Man computer interface KW - Applied mathematics KW - ndbmi KW - reducing KW - stimulation N2 - (A,C) Ideal (black lines) and actual (red-tonality lines) trajectories of the Multiple-points algorithm superimposed to the sensory regions (blue-tonality areas) by using data set 6 and two different force fields simulated by progressively reducing the amount of available information represented by , with . (B,D) Bar chart of the wpte between the ideal and actual trajectories calculated for different value of . The * denotes that wpte depended significantly on ( one-way ANOVA) and is placed in correspondence of the values of for which wpte was significantly different from the “reference” condition with (Tukey hsd ). ER -