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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 human brain prioritises relevant sensory information to perform different tasks. Enhancement of task-relevant information requires flexible allocation of attentional resources, but it is still a mystery how this is operationalised in…

Neurons and Cognition · Quantitative Biology 2021-02-22 Tijl Grootswagers , Amanda K. Robinson , Sophia M. Shatek , Thomas A. Carlson

When two stimuli are present in the receptive field of a V4 neuron, the firing rate response is between the weakest and strongest response elicited by each of the stimuli alone (Reynolds et al, 1999, Journal of Neuroscience 19:1736-1753).…

Neurons and Cognition · Quantitative Biology 2007-05-23 Paul H. Tiesinga

Visual attention has shown usefulness in image captioning, with the goal of enabling a caption model to selectively focus on regions of interest. Existing models typically rely on top-down language information and learn attention implicitly…

Computer Vision and Pattern Recognition · Computer Science 2019-04-02 Shi Chen , Qi Zhao

We investigate attention as the active pursuit of useful information. This contrasts with attention as a mechanism for the attenuation of irrelevant information. We also consider the role of short-term memory, whose use is critical to any…

Machine Learning · Computer Science 2015-11-02 Philip Bachman , David Krueger , Doina Precup

When selective attention is devoted to one of multiple stimuli within receptive fields of neurons in visual area V4, cells respond as if only the attended stimulus was present. The underlying neural mechanisms are still debated, but…

Neurons and Cognition · Quantitative Biology 2023-05-25 Lukas-Paul Rausch , Maik Schünemann , Eric Drebitz , Daniel Harnack , Udo A. Ernst , Andreas K. Kreiter

The capacity to filter out irrelevant information from our environment is critical to efficient processing. Yet, during development, when building a knowledge base of the world is occurring, the ability to selectively allocate attentional…

Neurons and Cognition · Quantitative Biology 2018-09-27 Audrey M. B. Wong-Kee-You , John K. Tsotsos , Scott A. Adler

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

Joint attention - the ability to purposefully coordinate attention with another agent, and mutually attend to the same thing -- is a critical component of human social cognition. In this paper, we ask whether joint attention can be useful…

Artificial Intelligence · Computer Science 2021-08-10 Dennis Lee , Natasha Jaques , Chase Kew , Jiaxing Wu , Douglas Eck , Dale Schuurmans , Aleksandra Faust

Top-down attention allows people to focus on task-relevant visual information. Is the resulting perceptual boost task-dependent in naturalistic settings? We aim to answer this with a large-scale computational experiment. First, we design a…

Computer Vision and Pattern Recognition · Computer Science 2020-04-07 Freddie Bickford Smith , Xiaoliang Luo , Brett D. Roads , Bradley C. Love

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

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

Biological agents have adopted the principle of attention to limit the rate of incoming information from the environment. One question that arises is if an artificial agent has access to only a limited view of its surroundings, how can it…

Artificial Intelligence · Computer Science 2021-03-12 Himanshu Sahni , Charles Isbell

Being attentive to task-relevant features can improve task performance, but paying attention comes with its own metabolic cost. Therefore, strategic allocation of attention is crucial in performing the task efficiently. This work aims to…

Neurons and Cognition · Quantitative Biology 2025-01-30 Lokesh Boominathan , Yizhou Chen , Matthew McGinley , Xaq Pitkow

When attention is directed into the receptive field of a V4 neuron, its contrast response curve is shifted to lower contrast values (Reynolds et al, 2000, Neuron 26:703). Attention also increases the coherence between neurons responding to…

Neurons and Cognition · Quantitative Biology 2007-05-23 Calin Buia , Paul Tiesinga

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

In the new digital age, information is available in large quantities. Since information consumes primarily the attention of its recipients, the scarcity of attention is becoming the main limiting factor. In this study, we investigate the…

Social and Information Networks · Computer Science 2014-11-26 Uzay Cetin , Haluk O. Bingol

Attention endows animals an ability to concentrate on the most relevant information among a deluge of distractors at any given time, either through volitionally 'top-down' biasing, or driven by automatically 'bottom-up' saliency of stimuli,…

Artificial Intelligence · Computer Science 2016-05-13 Jie You , Xin Yang , Matthias Hub

Predictive coding theory suggests that conscious perception results from the interaction between top-down and bottom-up signals in the brain. However, the electrophysiological signatures of top-down predictions are not clear yet. Here, we…

Neurons and Cognition · Quantitative Biology 2019-04-11 Azadeh Mojdehfarahbakhsh , Saba Nouri , Abolfazl Alipour , Mohammad Nami

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
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