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Collaborative Research: CRCNS: Detection and Recognition of Objects in Visual Cortex

合作研究：CRCNS：视觉皮层中物体的检测和识别

基本信息

批准号：
0218693
负责人：
Tomaso Poggio
金额：
$ 15万
依托单位：
Massachusetts Institute of Technology
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2002
资助国家：
美国
起止时间：
2002-10-01 至 2005-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0218693&HistoricalAwards=false
关键词：
Collaborative Research CRCNS Detection Recognition

项目摘要

EIA-0218693Poggio, TomasoMIT Collaborative Research: CRCNS: Detection and Recognition of Objects in Visual CortexA three way collaboration between the laboratories of Profs. T. Poggio at MIT, D. Ferster at Northwestern University and C. Koch at Caltech is exploring and evaluating the hypotheses that the cortical organization and the neural mechanisms of visual recognition can be explained by a coherent theoretical framework built on two existing computational models for recognition and attention and, secondly, that a combination of physiological work on monkeys and cats, together with visual psychophysics can be used to test and refine the theory. The research is organized into three main projects. The work at MIT is guided by a quantitative hierarchical model of recognition, probing the relations between identification and categorization and the properties of selectivity and invariance of the neural mechanisms in IT cortex. The work at Northwestern University is testing a key prediction of the model about the nature of the pooling operation (a max operation vs. a linear sum) performed by complex cells in V1. The experiments are done in the anesthetized cat, intracellularly, to allow for a characterization of the underlying circuit and biophysical mechanisms. Finally, work at Caltech is extending the basic model of recognition by integrating it with a saliency-based attentional model. The computational component of this work, centered around the development of a quantitative model of visual recognition, constitutes the primary tool to enforce interactions between the investigators: the model suggests experiments and guides planning and interpreting new experiments.

poggio， TomasoMIT合作研究：CRCNS：视觉皮层中物体的检测和识别。麻省理工学院的T. Poggio、西北大学的D. Ferster和加州理工学院的C. Koch正在探索和评估以下假设：视觉识别的皮层组织和神经机制可以用建立在两个现有的识别和注意力计算模型上的一个连贯的理论框架来解释；其次，对猴子和猫的生理研究与视觉心理物理学的结合可以用来测试和完善理论。这项研究分为三个主要项目。麻省理工学院的工作以识别的定量层次模型为指导，探索识别和分类之间的关系以及IT皮层神经机制的选择性和不变性。西北大学的这项工作正在测试该模型的一个关键预测，即V1中复杂细胞执行的池化操作（最大操作vs线性求和）的性质。实验是在被麻醉的猫细胞内进行的，以便对潜在的电路和生物物理机制进行表征。最后，加州理工学院正在扩展识别的基本模型，将其与基于显著性的注意力模型相结合。这项工作的计算部分，以视觉识别定量模型的发展为中心，构成了加强研究人员之间互动的主要工具：该模型建议实验，并指导计划和解释新的实验。