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Linking perceptual learning with identical stimuli to imagery perceptual learning

机译:将具有相同刺激的感知学习与图像感知学习联系起来

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Perceptual learning is usually thought to be exclusively driven by the stimuli presented during training (and the underlying synaptic learning rules). In some way, we are slaves of our visual experiences. However, learning can occur even when no stimuli are presented at all. For example, Gabor contrast detection improves when only a blank screen is presented and observers are asked to imagine Gabor patches. Likewise, performance improves when observers are asked to imagine the nonexisting central line of a bisection stimulus to be offset either to the right or left. Hence, performance can improve without stimulus presentation. As shown in the auditory domain, performance can also improve when the very same stimulus is presented in all learning trials and observers were asked to discriminate differences which do not exist (observers were not told about the set up). Classic models of perceptual learning cannot handle these situations since they need proper stimulus presentation, i.e., variance in the stimuli, such as a left versus right offset in the bisection stimulus. Here, we show that perceptual learning with identical stimuli occurs in the visual domain, too. Second, we linked the two paradigms by telling observers that only the very same bisection stimulus was presented in all trials and asked them to imagine the central line to be offset either to the left or right. As in imagery learning, performance improved.
机译:通常认为,知觉学习完全由训练过程中出现的刺激(以及潜在的突触学习规则)驱动。在某种程度上,我们是视觉体验的奴隶。但是,即使根本没有刺激,学习也可能发生。例如,当仅显示空白屏幕并且要求观察者想象Gabor色块时,Gabor对比度检测会提高。同样,当要求观察者想象两等分刺激的不存在的中心线向右或向左偏移时,性能也会提高。因此,无需刺激就可以提高性能。如听觉领域所示,当在所有学习试验中都采用相同的刺激并且要求观察者辨别不存在的差异(未告知观察者有关设置)时,性能也会提高。感知学习的经典模型无法处理这些情况,因为它们需要适当的刺激表现,即刺激的差异,例如二等分刺激中的左右偏移。在这里,我们表明具有相同刺激的知觉学习也发生在视觉领域。其次,我们通过告诉观察者在所有试验中仅显示了相同的二等分刺激来链接这两个范例,并要求他们想象中心线向左或向右偏移。与图像学习一样,性能也得到了改善。

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