Results 51 to 60 of about 106,956 (270)

Cell Attention Networks

2023 International Joint Conference on Neural Networks (IJCNN), 2023
Since their introduction, graph attention networks achieved outstanding results in graph representation learning tasks. However, these networks consider only pairwise relationships among nodes and then they are not able to fully exploit higher-order interactions present in many real world data-sets.
Giusti, Lorenzo, Battiloro, Claudio, Testa, Lucia, Di Lorenzo, Paolo, Sardellitti, Stefania, Barbarossa, Sergio   +5 more
openaire   +2 more sources

Providing Task Instructions During Motor Training Enhances Performance and Modulates Attentional Brain Networks

Frontiers in Neuroscience, 2021
Learning a new motor task is a complex cognitive and motor process. Especially early during motor learning, cognitive functions such as attentional engagement, are essential, e.g., to discover relevant visual stimuli.
Joaquin Penalver-Andres, Joaquin Penalver-Andres, Karin A. Buetler, Thomas Koenig, René Martin Müri, René Martin Müri, René Martin Müri, Laura Marchal-Crespo, Laura Marchal-Crespo   +8 more
doaj   +1 more source

Recurrent Attentional Networks for Saliency Detection

, 2016
Convolutional-deconvolution networks can be adopted to perform end-to-end saliency detection. But, they do not work well with objects of multiple scales.
Kuen, Jason, Wang, Gang, Wang, Zhenhua
core   +1 more source

Graph attention networks

, 2017
We present graph attention networks (GATs), novel neural network architectures that operate on graph-structured data, leveraging masked self-attentional layers to address the shortcomings of prior methods based on graph convolutions or their approximations.
Veličković, P, Casanova, A, Liò, P, Cucurull, G, Romero, A, Bengio, Y   +5 more
openaire   +2 more sources

CoLight: Learning Network-level Cooperation for Traffic Signal Control

, 2019
Cooperation among the traffic signals enables vehicles to move through intersections more quickly. Conventional transportation approaches implement cooperation by pre-calculating the offsets between two intersections.
Chen, Chacha, Li, Zhenhui, Wei, Hua, Xu, Kai, Xu, Nan, Zang, Xinshi, Zhang, Huichu, Zhang, Weinan, Zheng, Guanjie, Zhu, Yanmin   +9 more
core   +1 more source

A computer vision model for visual-object-based attention and eye movements [PDF]

, 2008
This is the post-print version of the final paper published in Computer Vision and Image Understanding. The published article is available from the link below.
Backer, Bonmassar, Chambers, Craighero, Duncan, Fang Wang, Herman Martins Gomes, Hoffman, Horowitz, Itti, Juan, Kelley, LaBerge, Lee, McPeek, Pashler, Posner, Pylyshyn, Rensink, Rizzolatti, Robert Fisher, Scholl, Sela, Serences, Sun, Thompson, Tipper, Tsotsos, Walther, Wright, Yaoru Sun   +30 more
core   +2 more sources

Under-reactive but easily distracted: An fMRI investigation of attentional capture in autism spectrum disorder

Developmental Cognitive Neuroscience, 2016
For individuals with autism spectrum disorder (ASD), salient behaviorally-relevant information often fails to capture attention, while subtle behaviorally-irrelevant details commonly induce a state of distraction.
Brandon Keehn, Aarti Nair, Alan J. Lincoln, Jeanne Townsend, Ralph-Axel Müller   +4 more
doaj   +1 more source

Attention-Deficit/Hyperactivity Disorder and Attention Networks [PDF]

Neuropsychopharmacology, 2009
Research attempting to elucidate the neuropathophysiology of attention-deficit/hyperactivity disorder (ADHD) has not only shed light on the disorder itself, it has simultaneously provided new insights into the mechanisms of normal cognition and attention. This review will highlight and integrate this bidirectional flow of information. Following a brief
openaire   +2 more sources

Attention Network Dysfunction in Bulimia Nervosa - An fMRI Study. [PDF]

PLoS ONE, 2016
OBJECTIVE:Recent evidence has suggested an increased rate of comorbid ADHD and subclinical attentional impairments in bulimia nervosa (BN) patients.
Jochen Seitz, Manuel Hueck, Brigitte Dahmen, Martin Schulte-Rüther, Tanja Legenbauer, Beate Herpertz-Dahlmann, Kerstin Konrad   +6 more
doaj   +1 more source

‘They Need to Hear You Say It’: Healthcare Professionals’ Perspectives on Barriers and Enablers to End‐of‐Life Discussions With Adolescents and Young Adults With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT End‐of‐life conversations with adolescents and young adults (AYAs) with cancer rarely occur without the guidance of healthcare professionals. As a part of the ‘Difficult Discussions’ study, focused on palliative care and advance care planning discussions with AYAs with cancer, we investigated the factors that healthcare professionals identify ...
Justine Lee, Holly Evans, Claire E. Wakefield, Antoinette Anazodo, Richard J. Cohn, Brittany C. McGill, Elizabeth A. Lobb, Lori Wiener, Madeleine L. Juhrmann, Ursula M. Sansom‐Daly   +9 more
wiley   +1 more source