Results 31 to 40 of about 2,790,656 (286)

Functional imaging reveals working memory and attention interact to produce the attentional blink [PDF]

, 2012
Copyright @ 2012 Massachusetts Institute of Technology PressIf two centrally presented visual stimuli occur within approximately half a second of each other, the second target often fails to be reported correctly.
Shapiro, Kimron L; id_orcid, Shapiro, KL, Shapiro, Kimron L., Johnston, Stephen J, Kimron L. Shapiro, Linden, D.E.J., Linden, David Edmund Johannes, Steve Johnston, Shapiro, K.L., Johnston, Stephen J., Johnston, SJ, Stephen J. Johnston, David E. J. Linden, Johnston, S., Linden, DEJ, Linden, David E J   +15 more
core   +1 more source

Brain networks of visuospatial attention and their disruption in visual neglect

Frontiers in Human Neuroscience, 2012
Visual neglect is a multi-component syndrome including prominent attentional disorders. Research on the functional mechanisms of neglect is now moving from the description of dissociations in patients’ performance to the identification of the possible ...
Paolo eBartolomeo, Paolo eBartolomeo, Michel eThiebaut De Schotten, Michel eThiebaut De Schotten, Ana B eChica, Ana B eChica   +5 more
doaj   +1 more source

Graph attention networks

CoRR, 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   +4 more sources

Molecular signatures of attention networks

Human Brain Mapping, 2023
Abstract Attention network theory proposes three distinct types of attention—alerting, orienting, and control—that are supported by separate brain networks and modulated by different neurotransmitters, that is, norepinephrine, acetylcholine, and dopamine.
Hanna Schindler, Philippe Jawinski, Aurina Arnatkevičiūtė, Sebastian Markett   +3 more
openaire   +2 more sources

Visual Information Processing in Young and Older Adults

Frontiers in Aging Neuroscience, 2019
Decline in information processing with age is well-documented in the scientific literature. However, some discrepancy remains in relation to which cognitive domains are most susceptible to the aging process and which may remain intact.
Deena Ebaid, Sheila G. Crewther
doaj   +1 more source

Structured Attention Networks

CoRR, 2017
Attention networks have proven to be an effective approach for embedding categorical inference within a deep neural network. However, for many tasks we may want to model richer structural dependencies without abandoning end-to-end training. In this work, we experiment with incorporating richer structural distributions, encoded using graphical models ...
Yoon Kim, Carl Denton, Luong Hoang, Alexander M. Rush   +3 more
openaire   +4 more sources

Geometric Scattering Attention Networks

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
Geometric scattering has recently gained recognition in graph representation learning, and recent work has shown that integrating scattering features in graph convolution networks (GCNs) can alleviate the typical oversmoothing of features in node representation learning.
Yimeng Min, Frederik Wenkel, Guy Wolf
openaire   +4 more sources

A Regularized Attention Mechanism for Graph Attention Networks [PDF]

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Machine learning models that can exploit the inherent structure in data have gained prominence. In particular, there is a surge in deep learning solutions for graph-structured data, due to its wide-spread applicability in several fields. Graph attention networks (GAT), a recent addition to the broad class of feature learning models in graphs, utilizes ...
Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias   +2 more
openaire   +2 more sources

The attentional blink reveals serial working memory encoding: Evidence from virtual and human event-related potentials [PDF]

, 2009
Observers often miss a second target (T2) if it follows an identified first target item (T1) within half a second in rapid serial visual presentation (RSVP), a finding termed the attentional blink.
Craston, Patrick, Bowman, Howard; id_orcid, Chennu, Srivas, Wyble, Brad, Bowman, Howard   +4 more
core   +1 more source

Hyperbolic Attention Networks

CoRR, 2018
We introduce hyperbolic attention networks to endow neural networks with enough capacity to match the complexity of data with hierarchical and power-law structure. A few recent approaches have successfully demonstrated the benefits of imposing hyperbolic geometry on the parameters of shallow networks.
Çaglar Gülçehre, Misha Denil, Mateusz Malinowski, Ali Razavi, Razvan Pascanu, Karl Moritz Hermann, Peter W. Battaglia, Victor Bapst, David Raposo, Adam Santoro, Nando de Freitas   +10 more
openaire   +3 more sources