Results 21 to 30 of about 6,818,996 (307)

Spatial Neglect and Attention Networks [PDF]

open access: yesAnnual Review of Neuroscience, 2011
Unilateral spatial neglect is a common neurological syndrome following predominantly right hemisphere injuries and is characterized by both spatial and non-spatial deficits. Core spatial deficits involve mechanisms for saliency coding, spatial attention, and short-term memory and occur in conjunction with nonspatial deficits that involve reorienting ...
CORBETTA, MAURIZIO, Shulman, Gordon L.
openaire   +3 more sources

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting

open access: yesAAAI Conference on Artificial Intelligence, 2019
Forecasting the traffic flows is a critical issue for researchers and practitioners in the field of transportation. However, it is very challenging since the traffic flows usually show high nonlinearities and complex patterns.
S. Guo   +4 more
semanticscholar   +1 more source

DETR with Multi-granularity Spatial Attention and Spatial Prior Supervision [PDF]

open access: yesJisuanji kexue
The Transformer has shown remarkable performance in the field of computer vision in recent years,and has gained widespread attention due to its excellent global modeling capability and competitive performance compared to convolutional neural networks ...
LIAO Junshuang, TAN Qinhong
doaj   +1 more source

How Attention Affects Spatial Resolution [PDF]

open access: yesCold Spring Harbor Symposia on Quantitative Biology, 2014
We summarize and discuss a series of psychophysical studies on the effects of spatial covert attention on spatial resolution, our ability to discriminate fine patterns. Heightened resolution is beneficial in most, but not all, visual tasks. We show how endogenous attention (voluntary, goal driven) and exogenous attention (involuntary, stimulus driven ...
Marisa, Carrasco, Antoine, Barbot
openaire   +2 more sources

The Role of Temporal and Spatial Attention in Size Adaptation

open access: yesFrontiers in Neuroscience, 2020
One of the most important tasks for the visual system is to construct an internal representation of the spatial properties of objects, including their size.
Alessia Tonelli   +3 more
doaj   +1 more source

Gradients of spatial attention

open access: yesActa Psychologica, 1986
Abstract A reaction time technique was used to measure the distribution of attention following a cue to attend at a particular location. Reaction time to a target light increased with the distance of the target location from the cued location. This distance effect held both for targets that were more or less foveal than the cue.
G L, Shulman, J B, Sheehy, J, Wilson
openaire   +2 more sources

Revisiting Persistent Neuronal Activity During Covert Spatial Attention

open access: yesFrontiers in Neural Circuits, 2021
Persistent activity has been observed in the prefrontal cortex (PFC), in particular during the delay periods of visual attention tasks. Classical approaches based on the average activity over multiple trials have revealed that such an activity encodes ...
Julian L. Amengual, Suliann Ben Hamed
doaj   +1 more source

Spatial distribution of attentional modulation at columnar resolution in macaque area V4

open access: yesFrontiers in Neural Circuits, 2016
Attention to a location in a visual scene affects neuronal responses in visual cortical areas in a retinotopically specific manner. Optical imaging studies have revealed that cortical responses consist of two components of different sizes: the stimulus ...
Hisashi Tanigawa   +5 more
doaj   +1 more source

iEnhancer-DCSV: Predicting enhancers and their strength based on DenseNet and improved convolutional block attention module

open access: yesFrontiers in Genetics, 2023
Enhancers play a crucial role in controlling gene transcription and expression. Therefore, bioinformatics puts many emphases on predicting enhancers and their strength.
Jianhua Jia   +4 more
doaj   +1 more source

A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection

open access: yesRemote Sensing, 2020
Remote sensing image change detection (CD) is done to identify desired significant changes between bitemporal images. Given two co-registered images taken at different times, the illumination variations and misregistration errors overwhelm the real ...
Hao Chen, Zhenwei Shi
semanticscholar   +1 more source

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