Comparison of Data Interpolation Methods in Time Course Pupil Diameter Data

2020 ◽  
Author(s):  
Mahdieh Farzin Asanjan ◽  
Vilda Purutcuoglu ◽  
Fikret Ari ◽  
Didem Gokcay
Keyword(s):  
Time Course ◽  
Pupil Diameter ◽  
Data Interpolation ◽  
Interpolation Methods

scholarly journals Pupil dilation predicts individual success in emotion regulation and dietary self-control

2020 ◽  
Author(s):  
Silvia Maier ◽  
Marcus Grueschow
Keyword(s):  
Emotion Regulation ◽  
Individual Differences ◽  
Cognitive Control ◽  
Task Difficulty ◽  
Time Course ◽  
Pupil Diameter ◽  
Self Control ◽  
Control Task ◽  
Norepinephrine System ◽  
Individual Success

AbstractMultiple theories have proposed that increasing central arousal through the brain’s locus coeruleus – norepinephrine system may facilitate cognitive control and memory. However, for emotion research this hypothesis poses a puzzle, because conventionally, successful emotion regulation is associated with a decrease in arousal.Pupil diameter is a proxy to infer upon the central arousal state. We employed an emotion regulation paradigm with a combination of design features that allowed us to dissociate regulation- from stimulus-associated arousal in the pupil diameter time course of healthy adults. A pupil diameter increase during regulation predicted individual differences in emotion regulation success beyond task difficulty. Moreover, the extent of this individual arousal boost predicted performance in another self-control task, dietary health challenges. Participants who harnessed more regulation-associated arousal during emotion regulation were also more successful in choosing healthier foods. These results suggest that a common arousal-based facilitation mechanism may support an individual’s self-control across domains.

Research on DEM Construction Method of Interpolation

2013 ◽  
Vol 416-417 ◽  
pp. 1470-1474
Author(s):  
Shi Qing Yang ◽  
Lan Fang Miao
Keyword(s):  
Interpolation Method ◽  
Construction Method ◽  
Measured Data ◽  
Terrain Analysis ◽  
Data Interpolation ◽  
Construction Quality ◽  
The Real ◽  
Interpolation Methods ◽  
Inverse Distance

DEM construction quality directly affects a variety of applications based on DEM and terrain analysis. Giving the error in measured data, interpolation methods affect the quality of DEM. Therefore, for a certain district, choosing a better interpolation method is very important. In this paper, we constructed new DEM by three interpolation methods (inverse distance weight, spline, Kriging) on the real DEM data of loess tableland. By comparing this new DEM with the original DEM and analyzing this new DEM, we can get a better choice of interpolation for DEM construction and terrain analysis for a certain district.

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