Neurophysiological validation of verbal strategy reports in mental arithmetic

2011 ◽  
Author(s):  
R. H. Grabner ◽  
B. De Smet
Keyword(s):  
Author(s):  
Akira Yoshizama ◽  
Hiroyuki Nishiyama ◽  
Hirotoshi Iwasaki ◽  
Fumio Mizoguchi

In their study, the authors sought to generate rules for cognitive distractions of car drivers using data from a driving simulation environment. They collected drivers' eye-movement and driving data from 18 research participants using a simulator. Each driver drove the same 15-minute course two times. The first drive was normal driving (no-load driving), and the second drive was driving with a mental arithmetic task (load driving), which the authors defined as cognitive-distraction driving. To generate rules of distraction driving using a machine-learning tool, they transformed the data at constant time intervals to generate qualitative data for learning. Finally, the authors generated rules using a Support Vector Machine (SVM).


1991 ◽  
Vol 9 ◽  
pp. S455
Author(s):  
Sverker Jern ◽  
M. Pilhall ◽  
C. Jern

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Cheng Chen ◽  
Yizhen Wen ◽  
Shaoyang Cui ◽  
Xiangao Qi ◽  
Zhenhong Liu ◽  
...  

This paper presents a multichannel functional continuous-wave near-infrared spectroscopy (fNIRS) system, which collects data under a dual-level light intensity mode to optimize SNR for channels with multiple source-detector separations. This system is applied to classify different cortical activation states of the prefrontal cortex (PFC). Mental arithmetic, digit span, semantic task, and rest state were selected as four mental tasks. A deep forest algorithm is employed to achieve high classification accuracy. By employing multigrained scanning to fNIRS data, this system can extract the structural features and result in higher performance. The proposed system with proper optimization can achieve 86.9% accuracy on the self-built dataset, which is the highest result compared to the existing systems.


1992 ◽  
Vol 71 (3_suppl) ◽  
pp. 1347-1356 ◽  
Author(s):  
F. Talbot ◽  
M. Pépin ◽  
M. Loranger

The effects of practicing computerized exercises in class by 59 learning disabled students who received an 8-hr. training program, 30 min. per week, were evaluated. Six exercises designed to facilitate basic cognitive skills development were used. Twelve subjects were assigned to a control group without any form of intervention. Covariance analysis (pretest scores used as covariates) showed a significant effect of training on mental arithmetic. These results suggest that practicing a computerized exercise of mental arithmetic can facilitate the automatization of basic arithmetic skills (addition, subtraction, and multiplication). The nature, progress, and evaluation of such types of intervention are discussed.


1966 ◽  
Vol 44 (2) ◽  
pp. 287-293 ◽  
Author(s):  
Jacques LeBlanc ◽  
Pierre Potvin

It was possible to produce habituation to cold in a group of human subjects by immersing the left hand in cold water for [Formula: see text] minutes twice a day for 19 days. The right hand did not adapt. Another group of subjects was exposed similarly with the difference that an anxiety test (mental arithmetic test) was always given simultaneously with the cold-water test. In this second group the original blood pressure response, i.e. for the first day, was greater than in the first group because of the cumulative effects of the two tests. After 19 days definite evidence was obtained for adaptation to these two tests administered together. However, when these tests were given separately to the second group, no adaptation was evident; adaptation occurred only to both tests given simultaneously. These results indicate that no adaptation develops to cold per se if the subjects are distracted from cold discomfort. It was also found that adaptation of one hand to cold water not only failed to induce adaptation in the opposite hand but even reinforced responses of the unadapted hand. These findings suggest a participation of the central nervous system in adaptation to cold pain, and tend to minimize the importance of local peripheral changes.


1989 ◽  
Vol 8 (3) ◽  
pp. 201-208 ◽  
Author(s):  
Tyler S. Lorig ◽  
Gary E. Schwartz

EEG activity was recorded in nine volunteer subjects while they engaged in eight cognitive tasks. The tasks involved mental arithmetic, relaxation imagery, food imagery and imagery related to “neutral” stimuli (bicycle and automobile). Period analysis of the EEG indicated significant differences in EEG factor activity related to tension and anxiety for the subtraction, relaxation and food imagery trials. Imagery of heaviness and the subject's favorite dessert produced EEG factor activity most characteristic of relaxation. Results of this study are discussed in terms of the relation of odor to food imagery and the ecological validity of the use of food imagery in relaxation training.


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