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Our on-going research seeks to provide more evidence for this by evaluating techniques of movement pattern analysis to detect and quantify observed sub-sets of swimming activity.
Likewise, applying movement pattern analysis to zebrafish may help identify patterns common for various challenges, formalizing the classifications of these observations into quantitative models.
For example, movement pattern analysis was successfully applied to medaka fish to create accurate predictive models of fish movement based on high-density trajectory data sets [79], [83], [85].
Nevertheless, movement pattern analysis found that despite the change in maze design, there remained a significant preference for visiting neighbouring arms (mean 1.5±± 0.03, t(7) = 17.13, p < 0.001).
For the movement pattern analysis on the radiolarian maze, the lower vertically projecting arm was removed from analysis as this arm was only ever visited by two mice, and was consistently the last to be visited.
In summary, mice completed the working memory task on the classic maze without omission errors and with no decrease in re-entry errors, while movement pattern analysis indicated a high tendency to choose neighbouring arms in a stereotyped manner, which accounted for the error pattern.
Similar(54)
The Body Leads Project has subjected Osama bin Laden and a dozen leaders of potentially hostile nations to what it calls "movement-pattern analysis".It takes a good 20 hours to understand 30 minutes of video, says Martha Davis, a former consultant to an American defence contractor.
Angular segment analysis (ASA) is one of the methods recently added in the segment analysis which has shown relatively better relationships to movement pattern than the same properties in axial line analysis (Hillier et al. 2012; Hillier and Iida 2005).
To examine how neural representations evolved throughout movement planning, execution, and suppression, we performed time-resolved multivariate pattern analysis (MVPA).
The repeatability among individual repetitions of reaching as well as hand-to-mouth movement is evaluated by means of the singular value decomposition pattern analysis (SVDPA) [ 38], a data-driven approach which allows identifying repetitive patterns within quasiperiodic events.
The movement pattern of mobile nodes plays an important role in the performance analysis of mobile and wireless networks.
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