scholarly journals Can a simple, short-term memory task help to screen dyslexia?

2019 ◽  
Author(s):  
Nick Perham ◽  
Toni Howell ◽  
Andy Watt
Keyword(s):  
High Frequency ◽  
Short Term Memory ◽  
Memory Task ◽  
Compulsory Education ◽  
Low Frequency ◽  
Short Term ◽  
Term Order ◽  
Significant Difference ◽  
Support Students

AbstractFunding to support students with dyslexia in post-compulsory education is under pressure and more efficient assessments may offset some of this shortfall. We tested potential tasks for screening dyslexia: recall of adjective-noun, compared to noun-adjective, pairings (syntax) and recall of high versus low frequency letter pairings (bigrams). Students who reported themselves as dyslexic failed to show a normal syntax effect (greater recall of adjective-noun compared to noun-adjective pairings) and no significant difference in recall between the two types of bigrams whereas students who were not dyslexic showed the syntax effect and a bias towards recalling high frequency bigrams. Findings are consistent with recent explanations of dyslexia suggesting that those affected find it difficult to learn and utilise sequential long-term order information (Szmalec et al. Journal of Experimental Psychology: Learning, Memory & Cognition, 37(5) ,1270-1279, 2011). Further, ROC curve analyses revealed both tasks showed acceptable diagnostic properties as they were able to discriminate between the two groups of participants.

scholarly journals Small Floating Target Detection Method Based on Chaotic Long Short-Term Memory Network

2021 ◽  
Vol 9 (6) ◽  
pp. 651
Author(s):  
Yan Yan ◽  
Hongyan Xing
Keyword(s):  
High Frequency ◽  
Short Term Memory ◽  
Detection Method ◽  
Low Frequency ◽  
Sea Clutter ◽  
Short Term ◽  
Term Memory ◽  
Memory Network ◽  
Long Short Term Memory ◽  
Small Targets

In order for the detection ability of floating small targets in sea clutter to be improved, on the basis of the complete ensemble empirical mode decomposition (CEEMD) algorithm, the high-frequency parts and low-frequency parts are determined by the energy proportion of the intrinsic mode function (IMF); the high-frequency part is denoised by wavelet packet transform (WPT), whereas the denoised high-frequency IMFs and low-frequency IMFs reconstruct the pure sea clutter signal together. According to the chaotic characteristics of sea clutter, we proposed an adaptive training timesteps strategy. The training timesteps of network were determined by the width of embedded window, and the chaotic long short-term memory network detection was designed. The sea clutter signals after denoising were predicted by chaotic long short-term memory (LSTM) network, and small target signals were detected from the prediction errors. The experimental results showed that the CEEMD-WPT algorithm was consistent with the target distribution characteristics of sea clutter, and the denoising performance was improved by 33.6% on average. The proposed chaotic long- and short-term memory network, which determines the training step length according to the width of embedded window, is a new detection method that can accurately detect small targets submerged in the background of sea clutter.

Pseudoneglect of Males and Females on a Spatial Short-Term Memory Task

1997 ◽  
Vol 84 (1) ◽  
pp. 99-105 ◽  
Author(s):  
Erhan Nalçaci ◽  
Metehan Çiçek ◽  
Canan Kalaycioglu ◽  
Sema Yavuzer
Keyword(s):  
Short Term Memory ◽  
Memory Task ◽  
Indirect Evidence ◽  
Spatial Task ◽  
Strongly Correlated ◽  
Short Term ◽  
Significant Difference ◽  
Males And Females ◽  
The Right ◽  
The Brain

The effect of sex on the phenomenon of pseudoneglect was assessed in 60 male and 61 female right-handed subjects using a modified form of Corsi's block-tapping test. A significant right-lateralized pseudoneglect for both sexes was found, and the level of pseudoneglect strongly correlated with neglect in the right hemispace. Men were significantly more accurate in the left hemispace than women, whereas no difference was seen between the sexes in the right hemispace. Although we found some indirect evidence from which to infer that the men's brain may be functionally more lateralized than the women's for this spatial task, there was no significant difference between the sexes in correct responses for the left hemispace, i.e., right pseudoneglect. Therefore, the results suggest that pseudoneglect phenomenon can be partly explained by a functional asymmetric feature of the brain, and the other factors probably play a role in producing the similar patterns of asymmetric perception of space in males and females.

scholarly journals Spans attributed to short-term memory are explained by sensitivity to long-term statistics in both musicians and individuals with dyslexia

2019 ◽  
Author(s):  
Eva Kimel ◽  
Atalia Hai Weiss ◽  
Hilla Jakoby ◽  
Luba Daikhin ◽  
Merav Ahissar
Keyword(s):  
High Frequency ◽  
Opposite Effect ◽  
Short Term Memory ◽  
Native Language ◽  
Short Term ◽  
Good Readers ◽  
Syllable Frequency ◽  
Term Memory

AbstractReduced short-term memory (STM) of individuals with dyslexia (IDDs) and enhanced STM of musicians are well documented, yet their causes are disputed. We hypothesized that their STMs reflect their sensitivities to accumulative long-term stimuli statistics. Indeed, when performing an STM task, IDDs had reduced benefit from syllable frequency, whereas musicians manifested an opposite effect, compared to controls. Interestingly, benefit from sequence-repetition did not significantly differ between groups, suggesting that it relies on different mechanisms. To test the generality of this separation across populations, we recruited a group of good-readers, whose native language contains a smaller fraction of the high-frequency syllables. Their span for these “high-frequency” syllables was small, yet their benefit from sequence-repetition was adequate. These experiments indicate that sensitivity to long-term stimuli distribution, and not to sequential repetition, is reduced in IDDs and enhanced in musicians, and this accounts for differences in their STM performance.

Shared long-term and short-term memory representational formats in occipital and parietal cortex

2021 ◽  
Author(s):  
Vy A. Vo ◽  
David W. Sutterer ◽  
Joshua J. Foster ◽  
Thomas C. Sprague ◽  
Edward Awh ◽  
...  
Keyword(s):  
Parietal Cortex ◽  
Spatial Information ◽  
Short Term Memory ◽  
Memory Task ◽  
Memory Systems ◽  
Long Term Memory ◽  
Short Term ◽  
Term Memory ◽  
Sensory Evoked

AbstractCurrent theories propose that the short-term retention of information in working memory (WM) and the recall of information from long-term memory (LTM) are supported by overlapping neural mechanisms in occipital and parietal cortex. Both are thought to rely on reinstating patterns of sensory activity evoked by the perception of the remembered item. However, the extent of the shared representations between WM and LTM are unclear, and it is unknown how WM and LTM representations may differ across cortical regions. We designed a spatial memory task that allowed us to directly compare the representations of remembered spatial information in WM and LTM. Critically, we carefully matched the precision of behavioral responses in these tasks. We used fMRI and multivariate pattern analyses to examine representations in (1) retinotopic cortex and (2) lateral parietal cortex (LPC) regions previously implicated in LTM. We show that visual memories were represented in a sensory-like code in both tasks across retinotopic regions in occipital and parietal cortex. LPC regions also encoded remembered locations in both WM and LTM, but in a format that differed from the sensory-evoked activity. These results suggest a striking correspondence in the format of WM and LTM representations across occipital and parietal cortex. On the other hand, we show that activity patterns in nearly all parietal regions, but not occipital regions, contained information that could discriminate between WM trials and LTM trials. Our data provide new evidence for theories of memory systems and the representation of mnemonic content.

scholarly journals Early and Late Shift of Brain Laterality in STG, HG, and Cerebellum with Normal Aging during a Short-Term Memory Task

2013 ◽  
Vol 2013 ◽  
pp. 1-13
Author(s):  
Hanani Abdul Manan ◽  
Ahmad Nazlim Yusoff ◽  
Elizabeth A. Franz ◽  
Siti Zamratol-Mai Sarah Mukari
Keyword(s):  
Short Term Memory ◽  
Age Groups ◽  
Memory Task ◽  
Superior Temporal Gyrus ◽  
Neural Correlates ◽  
Functional Networks ◽  
Short Term ◽  
Term Memory ◽  
Brain Laterality ◽  
Significant Difference

Evidence suggests that cognitive performance deteriorates in noisy backgrounds and the problems are more pronounced in older people due to brain deficits and changes. The present study used functional MRI (fMRI) to investigate the neural correlates of this phenomenon during short-term memory using a forward repeat task performed in quiet (STMQ) and in noise: 5-dB SNR (STMN) on four groups of participants of different ages. The performance of short-term memory tasks was measured behaviourally. No significant difference was found across age groups in STMQ. However, older adults (50–65 year olds) performed relatively poorly on the STMN. fMRI results on the laterality index indicate changes in hemispheric laterality in the superior temporal gyrus (STG), Heschl’s gyrus (HG), and cerebellum, and a leftward asymmetry in younger participants which changes to a more rightward asymmetry in older participants. The results also indicate that the onset of the laterality shift varies from one brain region to another. STG and HG show a late shift while the cerebellum shows an earlier shift. The results also reveal that noise influences this shifting. Finally, the results support the hypothesis that functional networks that underlie STG, HG, and cerebellum undergo reorganization to compensate for the neural deficit/cognitive decline.

scholarly journals A Frequency Decomposition-Based Hybrid Forecasting Algorithm for Short-Term Reactive Power

Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6606
Author(s):  
Jiabao Du ◽  
Changxi Yue ◽  
Ying Shi ◽  
Jicheng Yu ◽  
Fan Sun ◽  
...  
Keyword(s):  
High Frequency ◽  
Reactive Power ◽  
Short Term Memory ◽  
Low Frequency ◽  
Ensemble Empirical Mode Decomposition ◽  
Short Term ◽  
Prediction Ability ◽  
Frequency Decomposition ◽  
Mode Decomposition ◽  
Speed Up

This paper proposes a new frequency decomposition-based hybrid reactive power forecasting algorithm, EEMD-LSTM-RFR (ELR), which adopts a strategy of frequency decomposition prediction after ensemble empirical mode decomposition and then data reconstruction to improve the prediction ability of reactive power. This decomposition process can compress the high frequency of reactive power and benefits the following separate forecasting. Long short-term memory is proposed for the high-frequency feature of reactive power to deal with the forecasting difficulty caused by strong signal disturbance and randomness. In contrast, random forest regression is applied to the low-frequency part in order to speed up the forecasting. Four classical algorithms and four hybrid algorithms based on different signal decompositions are compared with the proposed algorithm, and the results show that the proposed algorithm outperforms those algorithms. The predicting index RMSE decreases to 0.687, while the fitting degree R2 gradually approaches 1 with a step-by-step superposition of high-frequency signals, indicating that the proposed decomposition-predicting reconstruction strategy is effective.

EFFECT OF AEROBIC EXERCISE ON SHORT-AND LONG-TERM MEMORY IN ADULT MALE WISTAR RATS

2020 ◽  
pp. 15-18
Author(s):  
SOPHIE YOLANDA ◽  
GUSTI CANDRA PAMUNGKAS ◽  
TRINOVITA ANDRAINI ◽  
DEWI IRAWATI SOERIA SANTOSO ◽  
SUHARTI BINTI SIDIK ◽  
...  
Keyword(s):  
Aerobic Exercise ◽  
Wistar Rats ◽  
Short Term Memory ◽  
Memory Function ◽  
Long Term Memory ◽  
Short Term ◽  
Term Memory ◽  
Significant Difference ◽  
Male Wistar Rats

Objective: Memory is an essential function of cognition in humans, but an age- and disease-related deterioration of this function is common. The currently known treatments have high failure rates, and thus, the slowing down of memory degeneration at an early age is the preferred preventive approach. Exercise, specifically aerobic exercise, has been proven to enhance memory via various pathways, such as neurogenesis, angiogenesis, and growth factor expression. The aim of this study is to assess the effect of aerobic exercise on short-term and long-term memory function in rats. Methods: Twenty-four male Wistar rats aged 7 mo were randomly distributed into four groups: Control, short-term memory (C-S); Control, long-term memory (C-L); Aerobic, short-term memory (A-S); and Aerobic, long-term memory (A-L). The aerobic groups received exercise treatment for 30 min each five times per week, at a treadmill speed of 20 m/min. The treatment duration was 8 w. Short-term memory was assessed using the forced alteration Y-maze test, and long-term memory was assessed using the object location task. Results: The findings showed that rats placed under the aerobic exercise regimen had significantly better long-term memory function at the end of 8 w (p = 0.006), while no significant difference was observed in short-term memory function between the aerobic exercise group and the control group. Conclusion: The present study shows that aerobic exercise is beneficial in improving long-term memory function in rats.

scholarly journals Study vibration of worm gear boxes

2021 ◽  
Vol 1199 (1) ◽  
pp. 012012
Author(s):  
A Šmeringaiová
Keyword(s):  
Experimental Analysis ◽  
High Frequency ◽  
Low Frequency ◽  
Operating Conditions ◽  
Short Term ◽  
High Frequency Vibration ◽  
Transmission Mechanisms ◽  
Test Operation ◽  
Different Types

Abstract The article describes the method of experimental analysis of transmission mechanisms. The test station enables to test different types of gears and to simulate their different operating conditions close to reality. The tests may be short-term and long-term. The course and results of the test operation of the screw reducer are described. Measured and evaluated were low-frequency and high-frequency vibration, temperature and wear functional parts of the teeth.

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