It is generally considered that working memory (WM) capacity is limited and that WM capacity affects cognitive processes. Distractor filtering efficiency has been suggested to be an important factor in determining the visual working memory (VWM) capacity of individuals. In the present study, we investigated whether training in visual filtering efficiency (FE) could improve VWM capacity, as measured by performance on the change detection task (CDT) and changes of contralateral delay activity (CDA) (contralateral delay activity) of different conditions, and evaluated the transfer effect of visual FE training on verbal WM and fluid intelligence, as indexed by performance on the verbal WM span task and Raven's Standard Progressive Matrices (RSPM) test, respectively. Participants were divided into high- and low-capacity groups based on their performance in a CDT designed to test VWM capacity, and then the low-capacity individuals received 20 days of FE training. The training significantly improved the group's performance in the CDT, and their CDA models of different conditions became more similar with high capacity group, and the effect generalized to improve verbal WM span. These gains were maintained at a 3-month follow-up test. Participants' RSPM scores were not changed by the training. These findings support the notion that WM capacity is determined, at least in part, by distractor FE and can be enhanced through training.
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http://dx.doi.org/10.3389/fpsyg.2017.00196 | DOI Listing |
J Speech Lang Hear Res
January 2025
Department of Linguistics and Modern Languages, The Chinese University of Hong Kong, China.
Purpose: This study aims to examine the associations of phonological, lexical, and grammatical skills within and between languages in Mandarin-English bilingual preschoolers.
Method: Sixty-three Singaporean Mandarin-English bilingual children aged 3-5 years were assessed for articulation, receptive vocabulary, and receptive grammar using standardized instruments in English and compatible tools in Mandarin. Regression analyses were performed on each language outcome, with other language variables as predictors, controlling for age, nonverbal working memory, and home language environment.
Dev Psychol
January 2025
School of Philosophy, Psychology, and Language Sciences, University of Edinburgh.
Twin studies have suggested extremely high estimates of heritability for adolescent executive function, with no substantial contributions from shared environment. However, developmental psychology research has found significant correlations between executive function outcomes and elements of the environment that would be shared in twins. It is unclear whether these seemingly contradictory findings are best explained by genetic confounding in developmental studies or limitations in twin studies, which can potentially underestimate shared environment.
View Article and Find Full Text PDFJ Exp Psychol Gen
January 2025
Department of Psychology, Psychology and Neuroscience, Cognition Research Unit, University of Liege.
Most models of verbal working memory (WM) consider attention as an important determinant of WM. The detailed nature of attentional processes and the different dimensions of verbal WM they support remains, however, poorly investigated. The present study distinguished between attentional capacity (scope of attention) and attentional control (control of attention) and examined their respective role for two fundamental dimensions of verbal WM: the retention of item versus serial order information and the simple versus complex nature of WM tasks.
View Article and Find Full Text PDFJ Chem Inf Model
January 2025
Division of Pharmaceutical Chemistry, Faculty of Pharmaceutical Sciences, Khon Kaen University, Khon Kaen 40002, Thailand.
Skin corrosion assessment is an essential toxicity end point that addresses safety concerns for topical dosage forms and cosmetic products. Previously, skin corrosion assessments required animal testing; however, differences in skin architecture and ethical concerns regarding animal models have fostered the advancement of alternative methods such as and models. This study aimed to develop deep learning (DL) models based on recurrent neural networks (RNNs) for classifying skin corrosion of chemical compounds based on chemical language notation, molecular substructure, physicochemical properties, and a combination of these three properties called conjoint fingerprints.
View Article and Find Full Text PDFFront Robot AI
January 2025
Neuro-robotics Laboratory, Department of Robotics, Graduate School of Engineering, Tohoku University, Sendai, Japan.
Reliable proprioception and feedback from soft sensors are crucial for enabling soft robots to function intelligently in real-world environments. Nevertheless, soft sensors are fragile and are susceptible to various damage sources in such environments. Some researchers have utilized redundant configuration, where healthy sensors compensate instantaneously for lost ones to maintain proprioception accuracy.
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