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It is known that when multiple stimuli are present, top-down attention selectively enhances the neural signal in the visual cortex for task-relevant stimuli, but this has been tested only under conditions of minimal competition of visual…

Neurons and Cognition · Quantitative Biology 2025-07-01 Omar Claflin

Two prominent strategies that the human visual system uses to reduce incoming information are spatial integration and selective attention. Although spatial integration summarizes and combines information over the visual field, selective…

Neurons and Cognition · Quantitative Biology 2019-06-28 Alessandro Grillini , Remco J. Renken , Frans W. Cornelissen

We investigate theoretically the effect of spatial attention on the contrast-response function (CRF) and orientation-tuning curves in early visual areas.We look at a model of a hypercolumn developed recently (Persi et al., 2008), that…

Neurons and Cognition · Quantitative Biology 2008-06-26 Erez Persi

The existing computational visual attention systems have focused on the objective to basically simulate and understand the concept of visual attention system in adults. Consequently, the impact of observer's age in scene viewing behavior…

Computer Vision and Pattern Recognition · Computer Science 2019-04-30 Onkar Krishna , Kiyoharu Aizawa , Go Irie

Top-down attention allows neural networks, both artificial and biological, to focus on the information most relevant for a given task. This is known to enhance performance in visual perception. But it remains unclear how attention brings…

Computer Vision and Pattern Recognition · Computer Science 2021-06-23 Freddie Bickford Smith , Brett D Roads , Xiaoliang Luo , Bradley C Love

The primary visual cortex processes a large amount of visual information, however, due to its large receptive fields, when multiple stimuli fall within one receptive field, there are computational problems. To solve this problem, the visual…

Neurons and Cognition · Quantitative Biology 2019-04-18 Linda Wang

Spatial selective attention is an important asset for communication in cocktail party situations but may be compromised by short-term cognitive fatigue. Here we tested whether an effortful conversation in a highly ecological setting…

Audio and Speech Processing · Electrical Eng. & Systems 2025-09-12 Ľuboš Hládek , Piotr Majdak , Robert Baumgartner

It is almost universal to regard attention as the facility that permits an agent, human or machine, to give priority processing resources to relevant stimuli while ignoring the irrelevant. The reality of how this might manifest itself…

Computer Vision and Pattern Recognition · Computer Science 2018-07-02 John K. Tsotsos , Iuliia Kotseruba , Amir Rasouli , Markus D. Solbach

This study is concerned with the top-down visual processing benefit in the task of occluded object recognition. To this end, a psychophysical experiment is designed and carried out which aimed at investigating the effect of consistency of…

Computer Vision and Pattern Recognition · Computer Science 2020-07-21 Zahra Sadeghi

Knowledge of the human visual system helps to develop better computational models of visual attention. State-of-the-art models have been developed to mimic the visual attention system of young adults that, however, largely ignore the…

Computer Vision and Pattern Recognition · Computer Science 2019-04-23 Onkar Krishna , Kiyoharu Aizawa , Andrea Helo , Rama Pia

Bottom-up and top-down, as well as low-level and high-level factors influence where we fixate when viewing natural scenes. However, the importance of each of these factors and how they interact remains a matter of debate. Here, we…

Neurons and Cognition · Quantitative Biology 2018-05-18 Heiko H. Schütt , Lars O. M. Rothkegel , Hans A. Trukenbrod , Ralf Engbert , Felix A. Wichmann

Object-based attention is a key component of the visual system, relevant for perception, learning, and memory. Neurons tuned to features of attended objects tend to be more active than those associated with non-attended objects. There is a…

Neurons and Cognition · Quantitative Biology 2021-06-09 Jordan Lei , Ari S. Benjamin , Konrad P. Kording

Attention is not monolithic; rather, it operates in multiple forms to facilitate efficient cognitive processing. In the auditory domain, attention enables the prioritization of relevant sounds in an auditory scene and can be either…

Neurons and Cognition · Quantitative Biology 2025-08-05 Stephanie Graceffo , David F Little , Emine Merve Kaya , Mounya Elhilali

Fast reactions to changes in the surrounding visual environment require efficient attention mechanisms to reallocate computational resources to most relevant locations in the visual field. While current computational models keep improving…

Computer Vision and Pattern Recognition · Computer Science 2023-09-20 Lapo Faggi , Alessandro Betti , Dario Zanca , Stefano Melacci , Marco Gori

Toddlers learn to recognize objects from different viewpoints with almost no supervision. During this learning, they execute frequent eye and head movements that shape their visual experience. It is presently unclear if and how these…

Computer Vision and Pattern Recognition · Computer Science 2025-06-26 Zhengyang Yu , Arthur Aubret , Marcel C. Raabe , Jane Yang , Chen Yu , Jochen Triesch

Visuospatial attention and gaze control depend on the interaction of foveal and peripheral processing. The foveal and peripheral regions of the visual field are differentially sensitive to parts of the spatial-frequency spectrum. In two…

Neurons and Cognition · Quantitative Biology 2016-10-21 Anke Cajar , Ralf Engbert , Jochen Laubrock

The primary aim of this manuscript is to underscore a significant limitation in current deep learning models, particularly vision models. Unlike human vision, which efficiently selects only the essential visual areas for further processing,…

Computer Vision and Pattern Recognition · Computer Science 2024-11-25 Ali Borji

Selective attention can momentarily alter visual appearance, but can such effects be learned? We tested whether training attention under sensory competition produces lasting changes in perceived contrast. Across seven days, participants…

Neurons and Cognition · Quantitative Biology 2026-01-14 Thitaporn Chaisilprungraung , Prapasiri Sawetsuttipan , John T. Serences , Sirawaj Itthipuripat

The aim of object-centric vision is to construct an explicit representation of the objects in a scene. This representation is obtained via a set of interchangeable modules called \emph{slots} or \emph{object files} that compete for local…

Computer Vision and Pattern Recognition · Computer Science 2023-06-06 Ayush Chakravarthy , Trang Nguyen , Anirudh Goyal , Yoshua Bengio , Michael C. Mozer

Previous studies suggested that lateral interactions of V1 cells are responsible, among other visual effects, of bottom-up visual attention (alternatively named visual salience or saliency). Our objective is to mimic these connections with…

Neurons and Cognition · Quantitative Biology 2019-11-19 David Berga , Xavier Otazu
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