Implementation of Analog Integrated Circuits for Motion-Detection Network Based on Retina and Brain

基于视网膜和大脑的运动检测网络模拟集成电路的实现

基本信息

批准号：
11555013
负责人：
YONEZU Hiroo
金额：
$ 7.87万
依托单位：
Toyohashi University of Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
1999
资助国家：
日本
起止时间：
1999 至 2001
项目状态：
已结题

项目摘要

In human and animal brains, the motion of a target is detected from a two-dimensional picture imaged in their retinas. The motion detection that is given to even low-level animals is expected to be widely applied to systems for the collision avoidance of vehicles, the eye of robots and others. In this study, we tried to establish the fundamental technologies of analog Integrated circuits for the motion detection based on the functions of biological retinas and brains, particularly the brain of low-level animals.Firstly, a simple fundamental circuit for local adaptation was developed. It was confirmed by circuit simulation as well as measured results of test chips that the signal intensity of the edge of targets was almost kept in a given range by varying spatial resolution against widely varied brightness. In order to increase the sensitivity at the input stage constructed with photodiodes, two types of amplifiers were set. One is an amplifier for very small photocurrent and the other … More is for conventional photocurrent. As a result, the dynamic range was increased by seven orders of magnitudes. Secondly, an analog network for two-dimensional motion detection was developed based on the brain function of insects. It was confirmed by circuit simulation that the speed and direction of an approaching object could be obtained by detecting the increasing rate of edge lengths. Forming a binary output in the edge detection circuit, which was connected with the motion detection circuit, prevented the propagation of the error of analog computation. Thirdly, we utilized the spatio-temporal information of dendrites in which the delay time of the signal depends on the location of synaptic connections and spatial information is given by the spatial distribution of the synaptic connections. A fundamental network was constructed with simple fundamental circuits. As a result, it was clarified by circuit simulation that the spatio-temporal information can be obtained. Both of the edge detection and motion detection can be done in a single network. This fundamental network is extensive in neuromorphic vision systems. Less

在人类和动物的大脑中，从视网膜中成像的二维图片中检测到目标的运动。预计将对甚至低级动物进行的运动检测将被广泛应用于避免车辆，机器人之眼碰撞的系统。在这项研究中，我们试图根据生物视网膜和大脑的功能，尤其是低级动物的大脑，建立基于运动检测的模拟整合电路的基本技术。通过电路模拟以及测量芯片的测量结果证实了目标边缘的信号强度几乎通过改变空间分辨率来保持在给定范围内，以差异化亮度变化。为了增加用光电二极管构建的输入阶段的灵敏度，设置了两种类型的放大器。一个是非常小的光电流的放大器，另一个是用于常规光电流的放大器。结果，动态范围增加了七个尺寸。其次，根据昆虫的大脑功能开发了用于二维运动检测的模拟网络。通过电路模拟证实，可以通过检测边缘长度的增加来获得接近对象的速度和方向。与运动检测电路相连的边缘检测电路中形成二进制输出，阻止了模拟计算误差的传播。第三，我们利用了树突的空间信息，其中信号的延迟时间取决于突触连接的位置和空间信息，这是由突触连接的空间分布给出的。基本网络是由简单的基本电路构建的。结果，通过电路模拟可以获得可以获得空间信息信息的澄清。边缘检测和运动检测都可以在单个网络中完成。这个基本网络在神经形态视觉系统中广泛。较少的

项目成果

期刊论文数量（49）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

M. Ohtani, H. Yonezu, and T. Asai: "Analog Metal-Oxide-Silicon IC Implementation of Motion-Detection Network Based on Biological Correlation Model"Jpn. J. Appl. Phys.. Vol.39-No.3A. 1160-1164 (2000)

M. Ohtani、H. Yonezu 和 T. Asai：“基于生物相关模型的运动检测网络的模拟金属-氧化物-硅 IC 实现”Jpn。

DOI：
发表时间：
期刊：
影响因子：
0
作者：
通讯作者：

T.Asai,M.Ohtani 他: "Analog MOS Circuit Systems Performing the Visual Tracking with bio-inspired simple networks"Proc.of the 7th Int.Conf.on Microelectronics for Neural,Fuzzy,and Bio-Inspired Systems. 240-246 (1999)

T.Asai、M.Ohtani 等人：“利用仿生简单网络执行视觉跟踪的模拟 MOS 电路系统”Proc.of the 7th Int.Conf.on Micro electronics for Neural, Fuzzy, and Bio-Inspired Systems 240。 -246 (1999)