Gain, not concomitant changes in spatial receptive field properties, improves task performance in a neural network attention model

被引:4
|
作者
Fox, Kai J. [1 ,2 ]
Birman, Daniel [1 ,2 ]
Gardner, Justin L. [1 ]
机构
[1] Stanford Univ, Dept Psychol, Stanford, CA 94305 USA
[2] Univ Washington, Dept Biol Struct, Seattle, WA 98195 USA
来源
ELIFE | 2023年 / 12卷
关键词
visual attention; convolutional neural network; CNN; receptive field; spatial attention; Human; Other; LATERAL INTRAPARIETAL AREA; VISUAL SPACE; SELECTIVE ATTENTION; FOCAL ATTENTION; RESPONSES; V4; PARIETAL; CONTRAST; CORTEX; SHIFTS;
D O I
10.7554/eLife.78392
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Attention allows us to focus sensory processing on behaviorally relevant aspects of the visual world. One potential mechanism of attention is a change in the gain of sensory responses. However, changing gain at early stages could have multiple downstream consequences for visual processing. Which, if any, of these effects can account for the benefits of attention for detection and discrimination? Using a model of primate visual cortex we document how a Gaussian-shaped gain modulation results in changes to spatial tuning properties. Forcing the model to use only these changes failed to produce any benefit in task performance. Instead, we found that gain alone was both necessary and sufficient to explain category detection and discrimination during attention. Our results show how gain can give rise to changes in receptive fields which are not necessary for enhancing task performance.
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页数:29
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