Search results for "Cognition"
showing 10 items of 7054 documents
Theory of Mind Profiles in Children With Autism Spectrum Disorder: Adaptive/Social Skills and Pragmatic Competence
2020
Theory of Mind (ToM) is one of the most relevant concepts in the field of social cognition, particularly in the case of Autism Spectrum Disorders (ASD). Literature showing that individuals with ASD display deficits in ToM is extensive and robust. However, some related issues deserve more research: the heterogeneous profile of ToM abilities in children with ASD and the association between different levels of ToM development and social, pragmatic, and adaptive behaviors in everyday life. The first objective of this study was to identify profiles of children with ASD without intellectual disability (ID), based on explicit and applied ToM knowledge, and compare these profiles with a group of ch…
Autobiographical memory for the differential diagnosis of cognitive pathology in aging
2015
Aim The present study distinguishes three memory stages across the lifespan, and aims to compare episodic and semantic autobiographical memory in healthy older adults, with amnesic mild cognitive impairment, and with Alzheimer's disease. This information can offer evidence about the way semantic and episodic autobiographical memory work, and how the disease affects them. Methods The sample was composed of 56 people, all aged over 60 years; 15 with amnestic mild cognitive impairment, 12 with Alzheimer's disease and 29 healthy older people. Participants were evaluated with the Autobiographical Memory Interview. Results A mixed anova showed significant main effects of memory and time-period, a…
Testing odor memory : incidental versus intentional learning, implicit versus explicit memory
2002
International audience
Immunomodulatory role of statins in autoimmune disease: is there a role for human gamma delta T cells ?
2006
Immunomodulatory role of statins in autoimmune disease: is there a role for human γδT cells?
Natural Triterpene Glycosides for Antibody Recognition
2016
Multiple sclerosis is an autoimmune disease that affects the central nervous system. The key role of the glycosylation in disease pathogenesis has been previously studied and the synthetic N-glucosylated peptide CSF114(Glc) proved its efficiency in autoantibody recognition in the sera of multiple sclerosis patients. Herein, pure natural triterpene glycosides containing different glycosyl moieties were isolated and tested in multiple sclerosis patientsʼ sera to better understand the role of glycosylation. They were selected taking into account the nature and complexity of their osidic part. Five triterpene glycosides were isolated from several plants with more than 95 % purity. The interacti…
LogDet divergence-based metric learning with triplet constraints and its applications.
2014
How to select and weigh features has always been a difficult problem in many image processing and pattern recognition applications. A data-dependent distance measure can address this problem to a certain extent, and therefore an accurate and efficient metric learning becomes necessary. In this paper, we propose a LogDet divergence-based metric learning with triplet constraints (LDMLT) approach, which can learn Mahalanobis distance metric accurately and efficiently. First of all, we demonstrate the good properties of triplet constraints and apply it in LogDet divergence-based metric learning model. Then, to deal with high-dimensional data, we apply a compressed representation method to learn…
Automatic subgenre classification of heavy metal music
2011
Automatic genre classification of music has been of interest for researchers over a decade. Many success-ful methods and machine learning algorithms have been developed achieving reasonably good results. This thesis explores automatic sub-genre classification problem of one of the most popular meta-genres, heavy metal. To the best of my knowledge this is the first attempt to study the issue. Besides attempting automatic classification, the thesis investigates sub-genre taxonomy of heavy metal music, highlighting the historical origins and the most prominent musical features of its sub-genres. For classification, an algorithm proposed in (Barbedo & Lopes, 2007) was modified and implemented i…
Detection of steering direction using EEG recordings based on sample entropy and time-frequency analysis.
2016
Monitoring driver's intentions beforehand is an ambitious aim, which will bring a huge impact on the society by preventing traffic accidents. Hence, in this preliminary study we recorded high resolution electroencephalography (EEG) from 5 subjects while driving a car under real conditions along with an accelerometer which detects the onset of steering. Two sensor-level analyses, sample entropy and time-frequency analysis, have been implemented to observe the dynamics before the onset of steering. Thus, in order to classify the steering direction we applied a machine learning algorithm consisting of: dimensionality reduction and classification using principal-component-analysis (PCA) and sup…
Multitasking in Driving as Optimal Adaptation Under Uncertainty
2021
Objective The objective was to better understand how people adapt multitasking behavior when circumstances in driving change and how safe versus unsafe behaviors emerge. Background Multitasking strategies in driving adapt to changes in the task environment, but the cognitive mechanisms of this adaptation are not well known. Missing is a unifying account to explain the joint contribution of task constraints, goals, cognitive capabilities, and beliefs about the driving environment. Method We model the driver’s decision to deploy visual attention as a stochastic sequential decision-making problem and propose hierarchical reinforcement learning as a computationally tractable solution to it. The…
THE EDUCATIONAL EFFECTS OF METACOGNITIVE LEARNING AWARENESS ON UNDERGRADUATE STUDENTS
2016
The importance of metacognition has been discussed extensively by numerous researchers. Most of the studies on metacognition generally focus on the approaches to foster metacognition or on assessing metacognition. The aim of this study is to investigate the effects of metacognitive awareness and learning strategies on student success in Pre-Primary and Primary Education degree course in University of Palermo. The data was gathered from 700 undergraduate students through MAI Metacognitive Awareness Inventory[1] and ALM Awareness Learning Metacognitive [2]. The results showed that Metacognitive awareness and learning strategies have an important role on students’ academic success and they dem…