Results 51 to 60 of about 138,100 (224)
Frontiers in Computational Neuroscience, 2018 Long-term potentiation (LTP) is a specific form of activity-dependent synaptic plasticity that is a leading mechanism of learning and memory in mammals. The properties of cooperativity, input specificity, and associativity are essential for LTP; however,
Lijie Hao, Zhuoqin Yang, Jinzhi Lei
doaj +1 more source
Convolution Based Graph Representation Learning from the Perspective of High Order Node Similarities
Mathematics, 2022 Nowadays, graph representation learning methods, in particular graph neural network methods, have attracted great attention and performed well in many downstream tasks. However, most graph neural network methods have a single perspective since they start
Xing Li +3 more
doaj +1 more source
Early BMI Change, Cognitive Decline, and CSF AD Biomarkers Alterations in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To examine the relationship of early BMI change with subsequent cognitive decline, CSF AD biomarkers alterations, and progression to dementia in patients with PD. Methods Study data were prospectively collected from the PPMI cohort. Weight/height data at enrollment and second‐year clinical visit were utilized to calculate BMI change.
Rui Zhong, Kezhong Zhang
wiley +1 more source
Early Language Impairment as an Integral Part of the Cognitive Phenotype in Huntington's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Huntington's disease (HD) speech/language disorders have typically been attributed to motor and executive impairment due to striatal dysfunction. In‐depth study of linguistic skills and the role of extrastriatal structures in HD is scarce.
Arnau Puig‐Davi +13 more
wiley +1 more source
Causality in the Semantics of Esterel: Revisited [PDF]
EPTCS 18, 2010, pp. 32-45, 2010 We re-examine the challenges concerning causality in the semantics of Esterel and show that they pertain to the known issues in the semantics of Structured Operational Semantics with negative premises. We show that the solutions offered for the semantics of SOS also provide answers to the semantic challenges of Esterel and that they satisfy the ...
arxiv +1 more source
Brain SciencesBackground/Objectives: Cocaine use disorder (CUD) poses a worldwide health challenge, with severe consequences for brain function. However, the phase dynamics underlying CUD and the transitions between CUD and health remain poorly understood.
Yi Zheng +6 more
doaj +1 more source
A 14‐Year Study of Serum Glial Fibrillary Acidic Protein and Total Tau in Premanifest Huntington's
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT There is a pressing need for blood biomarkers that can identify Huntington's disease (HD) gene carriers' proximity to manifest disease. We previously examined serial serum neurofilament light (NfL) concentrations in 21 premanifest HD gene carriers and 14 controls over 14 years, finding that NfL demonstrates high prognostic value and distinct ...
Natalia E. Owen +8 more
wiley +1 more source
An overview of Generalised Veltman Semantics [PDF]
arXiv, 2020 Interpretability logics are endowed with relational semantics \`a la Kripke: Veltman semantics. For certain applications though, this semantics is not fine-grained enough. Back in 1992, in the research group of de Jongh, the notion of generalised Veltman semantics emerged to obtain certain non-derivability results as was first presented by Verbrugge ...
arxiv
Arthritis Care &Research, EarlyView.Objective Despite knowledge that health outcomes vary according to patient characteristics, identity, and geography, including underrepresented populations in arthritis research remains a challenge. We conducted interviews to explore how researchers in arthritis have used equity, diversity, and inclusion (EDI) principles to inform their research ...
Megan M. Thomas +8 more
wiley +1 more source
Towards Universal Semantic Tagging [PDF]
arXiv, 2017 The paper proposes the task of universal semantic tagging---tagging word tokens with language-neutral, semantically informative tags. We argue that the task, with its independent nature, contributes to better semantic analysis for wide-coverage multilingual text.
arxiv