Results 1 to 10 of about 6,818,996 (307)
Decoding Visual Spatial Attention Control. [PDF]
eNeuro, 2020 AbstractIn models of visual spatial attention control, it is commonly held that top-down control signals originate in the dorsal attention network, propagating to the visual cortex to modulate baseline neural activity and bias sensory processing. However, the precise distribution of these top-down influences across different levels of the visual ...
Meyyappan S +4 more
europepmc +5 more sources
Spatial distribution of the attentional blink [PDF]
Frontiers in Psychology, 2011 In the present study subjects viewed streams of rapid serially presented characters and searched for a target digit. After presentation of the target digit, a second target consisting of an orientation singleton (Experiment 1) or a second digit ...
FENG eDU, Richard eAbrams, Kan eZhang
doaj +3 more sources
Spatial attention alters visual appearance
Current Opinion in Psychology, 2019 It is well established that attention improves performance on many visual tasks. However, for more than 100 years, psychologists, philosophers, and neurophysiologists have debated its phenomenology-whether attention actually changes one's subjective experience.
Marisa Carrasco, Antoine Barbot
openaire +4 more sources
Efficient Multi-Scale Attention Module with Cross-Spatial Learning [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023 Remarkable effectiveness of the channel or spatial attention mechanisms for producing more discernible feature representation are illustrated in various computer vision tasks.
Daliang Ouyang +6 more
semanticscholar +1 more source
Frontiers in Neural Circuits, 2023 IntroductionOn Earth, self-produced somatosensory stimuli are typically perceived as less intense than externally generated stimuli of the same intensity, a phenomenon referred to as somatosensory attenuation (SA).
Roberto Gammeri +10 more
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Visual Navigation with Spatial Attention [PDF]
Computer Vision and Pattern Recognition, 2021 This work focuses on object goal visual navigation, aiming at finding the location of an object from a given class, where in each step the agent is provided with an egocentric RGB image of the scene.
B. Mayo, Tamir Hazan, A. Tal
semanticscholar +1 more source
SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation [PDF]
International Conference on Pattern Recognition, 2020 The precise segmentation of retinal blood vessels is of great significance for early diagnosis of eye-related diseases such as diabetes and hypertension. In this work, we propose a lightweight network named Spatial Attention U-Net (SA-UNet) that does not
Changlu Guo +5 more
semanticscholar +1 more source
Multibranch Attention Mechanism Based on Channel and Spatial Attention Fusion
Mathematics, 2022 Recently, it has been demonstrated that the performance of an object detection network can be improved by embedding an attention module into it. In this work, we propose a lightweight and effective attention mechanism named multibranch attention (M3Att).
Guojun Mao +3 more
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STAnet: A Spatiotemporal Attention Network for Decoding Auditory Spatial Attention from EEG
IEEE Transactions on Biomedical Engineering, 2022 Objective: Humans are able to localize the source of a sound. This enables them to direct attention to a particular speaker in a cocktail party. Psycho-acoustic studies show that the sensory cortices of the human brain respond to the location of sound ...
Enze Su +4 more
semanticscholar +1 more source
Spatial Attention Guided Residual Attention Network for Hyperspectral Image Classification
IEEE Access, 2022 Hyperspectral image (HSI) classification has become a research hotspot. Recently, deep learning-based methods have achieved preferable performances by which the deep spectral-spatial features can be extracted from HSI cubes.
Ningyang Li, Zhaohui Wang
doaj +1 more source