Inferotemporal Cortex and Object Vision

颞下皮层和物体视觉

• 批准号: 7998164
• 负责人: Carl Roger Olson
• 金额: $ 34.86万
• 依托单位: CARNEGIE-MELLON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-12-01 至 2012-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7998164
• 关键词: Code; Complex; Family; Image; Indium; Injury; Light; Location; Macaca; Measures; Monkeys; Names; Nature; Neurons; Pattern; Play; Population; Principal Investigator; Research; Role; Series; Shapes; Stimulus; Vision; Visual Pattern Recognition; inferotemporal cortex; neuronal patterning; object recognition; programs; relating to nervous system; research study; response

DESCRIPTION (provided by applicant): Inferotemporal cortex (IT) plays a crucial role in object vision as indicated by the fact that injury to it results in profound recognition deficits. The role played by IT in object recognition has been elucidated by research carried out over several decades in macaque monkeys. This has indicated that neurons in IT are pattern selective. Each neuron responds to certain complex images and not others. To gain an understanding of the nature of neuronal pattern selectivity in IT - and hence to cast light on the nature of the neural machinery that underlies visual pattern recognition - is the aim of experiments described in this proposal. Three series of experiments will be carried out. The approach in each case will be to measure the responses of neurons to displays consisting of discrete parts that can be manipulated independently so as to determine how the response to the whole is built up from the responses to the parts. Series 1 will ask whether IT neurons as a population represent, in a dimensionally reduced code, a family of shapes consisting of joined linear segments and having roughly the complexity of alphanumeric characters. Series 2 will ask whether neurons in IT are selective for the arrangement of elements in an image and, if so, whether selectivity is invariant across changes in size and location. Series 3 will ask how neuronal activity in IT represents displays consisting of items in an array, including words and hierarchical stimuli.

描述（由申请人提供）：颞下皮（IT）在对象视觉中起着至关重要的作用，如以下事实所表明的那样，它导致了深刻的识别缺陷。数十年来，它在猕猴中阐明了它在物体识别中所扮演的角色。这表明其中的神经元是模式选择性的。每个神经元对某些复杂的图像做出反应，而不是其他图像。为了了解IT神经元模式选择性的性质 - 因此，阐明了基于视觉模式识别的神经机制的性质 - 是本提案中描述的实验的目的。将进行三个系列实验。在每种情况下，方法都是测量神经元对显示由离散零件组成的响应，这些零件可以独立操纵，以确定对整体的响应是如何从对零件的响应中构建的。系列1将询问IT神经元作为人群是否代表尺寸缩小的代码，一个由连接线性段组成的形状家族和大致具有字母数字字符的复杂性。系列2将询问其中的神经元是否对图像中元素的排列有选择性，如果是的，则选择性在大小和位置的变化中是否不变。系列3将询问IT中的神经元活动如何表示由数组中的项目组成的显示，包括单词和层次刺激。