Feature-based attention in visual cortex.

By John H. R. Maunsell, Stefan Treue. Trends in Neurosciences, 2006

949 citations recorded by the source corpus.

Although most studies of visual attention have examined the effects of shifting attention between different locations in the visual field, attention can also be directed to particular visual features, such as a color, orientation or a direction of motion. Single-unit studies have shown that attention to a feature modulates neuronal signals in a range of areas in monkey visual cortex. The location-independent property of feature-based attention makes it particularly well suited to modify selectively the neural representations of stimuli or parts within complex visual scenes that match the currently attended feature. This review is part of the TINS special issue on The Neural Substrates of Cognition.

Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/e9783c07b15a1aeeb6cb51fc003e2bf614501330

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

In Computer Vision and Pattern Recognition

Citations in the corpus

Separate channels for processing form, texture, and color: evidence from FMRI adaptation and visual object agnosia. (2010, background): “Attentional modulation has been widely found within color areas (Maunsell and Treue 2006) and may have contributed to the activations we observed.”
Visual attention: The past 25 years (2011, background): “This repulsion effect illustrates that attention can distort the encoding of nearby positions and suggests an overrepresentation of space around the attended area (Suzuki & Cavanagh, 1997; see also Wardak, Deneve, & Ben Hamed, 2010).”
An Introduction to Model-Based Cognitive Neuroscience (2015, background): “Since microarrays sample neurons in different parts of the brain in a more random fashion, they allow a more unbiased comparison [95].”
Attention, Uncertainty, and Free-Energy (2010, background): “Mechanistically, this role is to weight or bias selected sensory channels (Desimone and Duncan, 1995; Maunsell and Treue, 2006; Reynolds and Heeger, 2009; Stokes et al., 2009).”
Dynamic visual attention: searching for coding length increments (2008, background): “In addition to saliency based on local irregularity, recent investigations in V4 and MT cortical areas demonstrate that attention can also be elicited by parti cular features [13, 18].”
Foundations of Vision (2018, background): “Feature-based attention refers to the ability to attend to a featural property, such as a particular color, orientation, or motion direction (Maunsell & Treue, 2006).”
A mechanistic cortical microcircuit of attention for amplification, normalization and suppression. (2015, background): “Feature-based attention (review: Maunsell & Treue, 2006) can also modulate the suppression between stimuli in a biased competition paradigm, similar to the effect described for spatial attention but with a feature-selective bias.”
Attention, learning and the value of information (2012, background): “However,thedecision framework has remained largely separate from an attentional interpretation and it is unclear to what extent the two frameworks are compatible or distinct (Maunsell and Treue, 2006).”