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Psychopy fixed aspect ratio gratings1/3/2024 But the visual system’s resolution is not fixed. The resolution of the visual system is highest at the fovea and decreases gradually with increasing eccentricity. The results could also help develop artificial intelligence systems that, like the visual system, can process information flexibly to achieve different goals. This might lead to better diagnosis and treatment of disorders that include attentional problems, such as autism and ADHD. This adds to our understanding of how the brain filters the information bombarding our senses. Movement of visual receptive fields thus depends on what we attend to, as well as where we focus our attention. As a result, receptive fields moved more when the volunteers attended to color than when they attended to motion. This might be because processing color requires fine-detail vision, whereas we can detect movement with our attention spread over a larger area. When the volunteers attended to color, their attention was more tightly focused than when they attended to motion. The volunteers focused on different visual features, such as color or motion, and to various visual locations. have now answered this question by using a brain scanner to measure receptive fields in healthy volunteers. But does the movement of receptive fields also depend on what we are attending to at a given location? Paying attention to tiny details, for example, might require many receptive fields to move by large amounts to produce vision with high enough resolution. Unlike a digital camera, the brain is thus much more than a passive recording device. Moving receptive fields in this way enables the visual system to generate more detailed vision at the new attended location. We do not need to move our eyes for this to happen, just the focus of our attention. If we switch our attention to a different area of the scene in front of us, visual neurons move their receptive fields to cover that area instead. But whereas digital pixels have fixed locations, the receptive fields of neurons do not. A neuron’s receptive field is the area of visual space – the scene in front of our eyes – to which that neuron responds. ![]() Much like digital cameras record images using a grid of tiny pixels, our own visual experience results from the activity of many neurons, each with its own receptive field. Our results demonstrate that the deployment of spatial attention is tailored to the spatial sampling properties of units that are sensitive to the attended feature. These findings are parsimoniously explained by variations in the precision of an attentional gain field. However, the interaction did depend on spatial sampling properties of voxels that prefer the attended feature. This interaction occurred similarly throughout visual cortex, regardless of an area's overall feature preference. Our results show that spatial and feature-based attention interacted: resampling of visual space depended on both the attended location and feature (color vs. We investigate this hypothesis by estimating spatial sampling in visual cortex while independently varying both feature-based and spatial attention. Behavioral studies suggest that feature-based attention modulates this resampling to optimize the attended feature's sampling. Spatial attention changes the sampling of visual space.
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