Results 101 to 110 of about 208,150 (274)
The Aging Blood: Cellular Origins, Circulating Drivers, and Therapeutic Potential
Aging and Cancer, EarlyView.As a conduit linking all organs, the blood system both reflects and actively drives systemic aging. This review highlights how circulating pro‐aging and antiaging factors and age‐associated hematopoietic stem cell dysfunction contribute to immunosenescence and multi‐organ decline, positioning the hematopoietic system as a target for aging intervention.
Hanqing He, Jianwei Wang
wiley +1 more source
O CONSTRUTIVISMO E AS FUNÇÕES MENTAIS
Revista Diálogo Educacional, 2007 The present work is about an analysis on the different constructivism conceptions with the hierarchic and parallel models of the mental working.
Emilio García García +1 more
doaj
Frontiers in Aging Neuroscience, 2017 Healthy aging is accompanied by a continuous decline in cognitive functions. For example, the ability to learn languages decreases with age, while the neurobiological underpinnings for the decline in learning abilities are not known exactly. Transcranial
Meret Branscheidt +6 more
doaj +1 more source
A linear approach for sparse coding by a two-layer neural network
, 2015 Many approaches to transform classification problems from non-linear to linear by feature transformation have been recently presented in the literature. These notably include sparse coding methods and deep neural networks.
Montalto, Alessandro +2 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah +7 more
wiley +1 more source
Revisiting the learning curve (once again)
Frontiers in Psychology, 2013 The vast majority of published work in the field of associative learning seeks to test the adequacy of various theoretical accounts of the learning process using average data.
Steven eGlautier
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein +7 more
wiley +1 more source
Associative Learning Through Acquired Salience [PDF]
Frontiers in Behavioral Neuroscience, 2016 Most associative learning studies describe the salience of stimuli as a fixed learning-rate parameter. Presumptive saliency signals, however, have also been linked to motivational and attentional processes. An interesting possibility, therefore, is that discriminative stimuli could also acquire salience as they become powerful predictors of outcomes ...
openaire +3 more sources
, 1998 This paper combines quantum computation with classical neural network theory to produce a quantum computational learning algorithm. Quantum computation uses microscopic quantum level effects to perform computational tasks and has produced results that in
Martinez, Tony, Ventura, Dan
core +2 more sources
Novelty and Reinforcement Learning in the Value System of Developmental Robots [PDF]
, 2002 The value system of a developmental robot signals the occurrence of salient sensory inputs, modulates the mapping from sensory inputs to action outputs, and evaluates candidate actions.
Huang, Xiao, Weng, John
core +1 more source