Mechanisms of Brightness Perception and Filling-In

描述(改编自申请者的摘要)：这项任务的基础 研究是为了了解发生在计算机上的计算的本质 人脑能够产生感知和更高的大脑功能。能不能 推断认知背后的大脑皮层回路或加工阶段？我们能不能 推断局灶性脑损伤的具体后果，并暗示 补救措施是可能的吗？解决这一任务的一个富有成效的途径是 使用一种动物模型，在这种模型中，可以对单个 神经元水平。研究的重点是明度知觉及其基础。 视觉表征的机制及相关研究 神经反应中的信息。轻盈的感觉是相当重要的。 对于物体识别的行为意义，但人们对其知之甚少 神经基础。它是研究两者之间联系的理想探测器。 知觉和神经活动，因为它的知觉高度依赖于语境 依赖和经典的视觉演示和涉及轻盈的错觉 是令人信服的。亮度效果的强度和延展性表明 可能有强大的依赖于上下文的神经活动可以研究 阐明知觉如何依赖于单个神经元的活动和 成群的神经元。这项研究将评估单项之间的一致性 细胞反应与包括明度在内的明度知觉要素 坚定不移和锚定。将在几个腹侧区域进行记录 以确定哪个区域(S)包含表面表征和 表面表示是在一个阶段构建还是跨多个阶段构建 加工的各个阶段。实验将量化神经的相对时间 对评估知觉演示之间关系的反应 填写和可能的潜在机制。他们还将描述 在延迟响应中表示刺激信息的方式 大脑皮层神经元和研究“自上而下”信号的初步发现。 V1区。

DESCRIPTION(adapted from applicant's abstract): The mission that underlies this research is to understand the nature of computations that take place in the human brain to give rise to perception and higher brain function. Can one deduce cortical circuits or processing stages underlying perception? Can we infer the specific consequences of focal brain damage and suggest that what remedies might be possible? A fruitful avenue for addressing this mission is to use an animal model in which careful investigations can be made at the single neuron level. The research focuses on lightness perception and its underlying mechanisms as well as related investigations into the representation of visual information in neural responses. Lightness perception is of considerable behavioral significance for object recognition, but little is known about its neural basis. It is an ideal probe for investigating the link between perception and neural activity because its perception is highly context dependent and classic visual demonstrations and illusions involving lightness are compelling. The strength and malleability of lightness effects suggests that there may be robust context-dependent neural activity that can be studied to clarify how perception depends on the activity of single neurons and populations of neurons. The research will assess the consistency between single cell responses and the key elements of lightness perception including lightness constancy and anchoring. Recordings will be made across several ventral areas of visual cortex to determine which area(s) contain surface representations and whether a surface representation is constructed at one stage or across multiple stages of processing. Experiments will quantify the relative timing of neural responses to assess the relationship between perceptual demonstrations of filling-in and possible underlying mechanisms. They will also characterize the manner in which stimulus information is represented in the delayed responses of cortical neurons and investigate preliminary findings of "top down" signals in area V1.