Sensory Neural Networks for Advanced Photodetectors

用于高级光电探测器的感觉神经网络

• 批准号: 8822121
• 负责人: Robert Darling
• 金额: $ 29.24万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1989
• 资助国家: 美国
• 起止时间: 1989-07-01 至 1992-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8822121&HistoricalAwards=false
• 关键词: Sensory; Neural; Networks; Advanced; Photodetectors

This project focuses on implementing arrays of photodetectors and associated first-level sensory neural networks in monolithic integrated circuit format for purposes of applying the field of vision to engineering applications of advanced photodetectors and for producing a physical model that can be used in the study of multiplicative lateral inhibition in visual systems. The photodetectors and electronic circuitry are fabricated using gallium-arsenide technology to allow for upward compatibility with integrated optoelectronic systems and to allow the constructed detector assemblies to function in harsher operating environments. Additionally, the monolithic integration of an array of photodetectors with a first level neural network offers advantages in size, reliability, cost, and hence commercial applicability. Biological visual systems perform many demanding tasks that are far from the present capabilities of electronic hardware. The success of many biological systems can mostly be attributed to a large degree of pre-processing of the visual image at the most peripheral level of the sensory system. This pre-processing has been described by many models, one of which is multiplicative lateral inhibition, which has the advantage of simple implementation in electronic circuitry and is studied in this project. Since recognition is studied in a fully parallel context, advanced photonic sensors based upon this developing technology have the potential to approach the spatial recognition performance of biological retinas and to greatly surpass them in temporal performance of feature acquisition.

该项目的重点是实现光电探测器阵列， 相关的一级感觉神经网络 电路格式的目的，应用的视野， 先进的光电探测器的工程应用和生产 可用于乘性侧向力研究的物理模型 视觉系统的抑制。 光电探测器和电子 使用砷化镓技术制造电路， 与集成光电系统的向上兼容性， 允许构造的检测器组件在更苛刻的环境中工作 操作环境。 此外， 具有第一级神经网络的光电探测器阵列提供 在尺寸、可靠性、成本方面具有优势， 适用性 生物视觉系统执行许多要求很高的任务， 从目前的电子硬件的能力。 的成功 许多生物系统在很大程度上可以归因于 预处理的视觉图像在最外围的水平， 感觉系统 这种预处理已经被许多模型描述， 其中之一是乘法侧抑制， 在电子电路中简单实现的优点， 在这个项目中研究。 由于识别是在一个充分的研究 并行上下文，先进的光子传感器基于此开发 技术有潜力接近空间识别 生物视网膜的性能，并大大超过他们， 特征获取的时间性能。