Analyses of Perceptual Learning

感知学习分析

• 批准号: RGPIN-2019-06945
• 负责人: Bennett, Patrick
• 金额: $ 2.91万
• 依托单位: McMaster University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=764328
• 关键词: Analyses; Perceptual; Learning

My research examines the factors that determine how we perceive visual patterns, and the way those factors are affected by perceptual learning. Perceptual learning refers to the fact that our ability to detect, discriminate, and identify patterns improves as a result of practice. Studying perceptual learning can provide insights into the general principles of learning and memory, and into the ways our brain adapts and changes as a function of experience. This knowledge could be used to devise ways of improving skills in applied areas requiring a high degree of visual skill (e.g., radiology and medical imaging), or perhaps alleviate visual deficits associated with neural disorders such as amblyopia, brain injuries, or the effects of aging. Many experiments examine how perceptual learning improves our ability to perform simple tasks that require us to discriminate two patterns that differ on a single dimension (e.g., orientation). However, my research examines how learning alters our ability to identify spatially complex patterns like textures and faces. One obvious reason for using more complex patterns is that they may provide better insights into the way learning affects our perception of naturalistic patterns, textures, and objects (as well as important classes of "artificial" patterns such as radiographic images). Also, investigating learning with progressively more complex stimuli and/or tasks is necessary to determine how theories of learning must be altered to account for learning in a variety of conditions. Therefore, the current proposal describes several projects that examine the factors that influence how our perception of complex patterns is altered by learning, and how that learning can be generalized or transferred to new patterns that were not seen during practice

我的研究考察了决定我们如何感知视觉模式的因素，以及这些因素受感知学习影响的方式。感知学习是指我们发现、区分和识别模式的能力随着实践而提高。研究知觉学习可以提供对学习和记忆的一般原则的见解，以及我们的大脑适应和改变经验的方式。这些知识可以用来设计提高需要高度视觉技能的应用领域技能的方法（例如，放射学和医学成像），或者可能减轻与神经障碍相关的视觉缺陷，如弱视、脑损伤或衰老的影响。许多实验研究了感知学习如何提高我们执行简单任务的能力，这些任务要求我们区分两种在单一维度上不同的模式（例如，方向）。然而，我的研究探讨了学习如何改变我们识别纹理和面部等空间复杂模式的能力。使用更复杂的图案的一个明显原因是，它们可以更好地了解学习如何影响我们对自然图案，纹理和物体（以及重要类别的“人造”图案，如放射图像）的感知。此外，调查学习与越来越复杂的刺激和/或任务是必要的，以确定如何学习的理论必须改变，以考虑在各种条件下的学习。因此，目前的建议描述了几个项目，研究影响我们对复杂模式的感知如何通过学习改变的因素，以及如何将学习推广或转移到实践中没有看到的新模式