Search results for "Term memory"
showing 10 items of 118 documents
The inhibitory effect of long-term associative representation on working memory
2020
Studies on how long-term memory affects working memory (WM) have found that long-term memory can enhance WM processing. However, these studies only use item memory as the representation of long-term memory. In addition to item memory, associative memory is also an essential part of long-term memory. The associative memory and item memory involve different cognitive mechanisms and brain areas. The purpose of the present study was to investigate how associative memory affects WM processing. Before the WM task, participants were asked to store 16 pairs of dissimilar pictures into long-term memory. The participants would obtain the associative memory of these pairs of pictures in the long-term …
The neurolinguistics of the US/THEM structure in aphasia
2015
The aim of the paper was to show the importance of distinction between US and THEM which is disrupted in the patients with aphasia and leads to social isolation. It should be stressed that the distinction between US and THEM is deeply rooted in couture and language. It has great social and psychological significance since foreigners – speaking imperfect language are as a rule excluded from the society. Hence, aphasic persons tend also to be excluded and they become an object of pity. Neurolinguistic aspects of aphasia are also discussed. It is stressed that the structure of person and number constitute essential conditions (along with time) for the proper use of verbs. After presenting diff…
Memory degradation induced by attention in recurrent neural architectures
2022
This paper studies the memory mechanisms in recurrent neural architectures when attention models are included. Pure-attention models like Transformers are more and more popular as they tend to outperform models with recurrent connections in many different tasks. Our conjecture is that attention prevents the recurrent connections from transferring information properly between consecutive next steps. This conjecture is empirically tested using five different models, namely, a model without attention, a standard Loung attention model, a standard Bahdanau attention model, and our proposal to add attention to the inputs in order to fill the gap between recurrent and parallel architectures (for b…
Convolutional Long Short-Term Memory Network for Multitemporal Cloud Detection Over Landmarks
2019
In this work, we propose to exploit both the temporal and spatial correlations in Earth observation satellite images through deep learning methods. In particular, the combination of a U-Net convolutional neural network together with a convolutional long short-term memory (LSTM) layer is proposed. This model is applied for cloud detection on MSG/SEVIRI image time series over selected landmarks. Implementation details are provided and our proposal is compared against a standard SVM and a U-Net without the convolutional LSTM layer but including temporal information too. Experimental results show that this combination of networks exploits both the spatial and temporal dependence and provides st…
Association between osteocalcin and cognitive performance in healthy older adults.
2016
INTRODUCTION: cognitive deterioration and reductions of bone health coincide with increasing age. We examine the relationship between bone composition and plasma markers of bone remodelling with measures of cognitive performance in healthy adults.METHODS: this cross-sectional study included 225 old (52% women, mean age: 74.4 ± 3.3 years) and 134 young (52% women, mean age: 23.4 ± 2.7 years) adult participants from the MyoAge project. Whole body bone mineral density was measured by dual-energy X-ray absorptiometry. Blood analyses included a panel of bone-related peptides (dickkopf-1, osteoprotegerin, osteocalcin (OC), osteopontin, sclerostin, parathyroid hormone and fibroblast growth factor …
STCMS: A Smart Thermal Comfort Monitor For Senior People
2020
Undoubtedly, the steady increase in the number of elderly people is not to be underestimated. These demographic changes call attention to new challenges regarding adequate aging-in-place strategies. Since the majority of the senior population spend up to 90% of their time indoors, appropriate and comfortable housing represents an important foundation for such strategies. In this respect, different types of data gathered from sensors, connected devices, and Internet of Things (IoT) technologies come to play an important role to support services for the elderly population in indoor environments. One of the aspects of concern is thermal comfort. In this paper, we introduce a new deep learning-…
The optimal musical pause : the effects of expectancies, musical training, and personality
2016
The musical pause is an acoustic space between musical phrases, and is an important auditory quality because it can enhance tension by delaying the expected. It has been proposed that expectancies develop from long-term schematic knowledge learned through exposure; however, the dynamic attending theory indicates that expectancies arise from localized short-term knowledge found in the stimulus. This study aims to measure the optimal duration of the pause by assessing the influence of low-level musical features, long-term familiarity, musical ability, and personality. Musical excerpts were chosen from a variety of genres to include two phrases (separable by a silence), from which participants…
The feasibility of working memory tablet tasks in predicting scholastic skills in classroom settings
2019
Cognitive assessment in natural group settings facilitates data collection but poses threats to the validity. In this study, tablet‐based working memory (WM) tasks, the counting span, and reading span were used in predicting 12‐year‐old children's (N = 837) scholastic skills and fluid intelligence in a classroom with environmental noise. WM tasks had excellent internal consistency, correlated with scholastic skills, and accounted for more of the variance in cognitive performance (grade point average, fluid intelligence, scholastic skills) compared with individually administered (n = 190) digit span task. Furthermore, the multilevel analysis revealed that compared with the classrooms with no…
Prediction of Specific TCR-Peptide Binding From Large Dictionaries of TCR-Peptide Pairs
2019
Abstract The T cell repertoire is composed of T cell receptors (TCR) selected by their cognate MHC-peptides and naive TCR that do not bind known peptides. While the task of distinguishing a peptide-binding TCR from a naive TCR unlikely to bind any peptide can be performed using sequence motifs, distinguishing between TCRs binding different peptides requires more advanced methods. Such a prediction is the key for using TCR repertoires as disease-specific biomarkers. We here used large scale TCR-peptide dictionaries with state-of-the-art natural language processing (NLP) methods to produce ERGO (pEptide tcR matchinG predictiOn), a highly specific classifier to predict which TCR binds to which…
Dopamine Related Genes Differentially Affect Declarative Long-Term Memory in Healthy Humans
2020
In humans, monetary reward can promote behavioral performance including response times, accuracy, and subsequent recognition memory. Recent studies have shown that the dopaminergic system plays an essential role here, but the link to interindividual differences remains unclear. To further investigate this issue, we focused on previously described polymorphisms of genes affecting dopaminergic neurotransmission: DAT1 40 base pair (bp), DAT1 30 bp, DRD4 48 bp, and cannabinoid receptor type 1 (CNR1). Specifically, 669 healthy humans participated in a delayed recognition memory paradigm on two consecutive days. On the first day, male vs. female faces served as cues predicting an immediate moneta…