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:
- 金额:$ 7.87万
- 依托单位:
- 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
- 来源:
- 关键词:
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,目标的运动是通过视网膜中成像的二维图像来检测的,即使是低级动物的运动检测也有望广泛应用于车辆防撞系统。在这项研究中,我们试图建立基于生物视网膜和大脑,特别是低级动物大脑的运动检测的模拟集成电路的基础技术。局部适应的基本电路是通过电路仿真和测试芯片的测量结果证实,通过改变空间分辨率和广泛变化的亮度,目标边缘的信号强度几乎保持在给定范围内,以提高输入的灵敏度。在用光电二极管构建的阶段,设置了两种类型的放大器,一种是用于非常小的光电流的放大器,另一种是用于光电流的放大器,其结果是动态范围增加了七个数量级。二维运动检测是基于通过电路仿真证实,通过检测边缘长度的增加率,可以得到接近物体的速度和方向,并在边缘检测电路中形成二进制输出,并与运动检测电路相连。第三,我们利用树突的时空信息,其中信号的延迟时间取决于突触连接的位置,空间信息由突触的空间分布给出。用简单的基本电路构建了基本网络,通过电路仿真表明可以在单个网络中获得时空信息。网络在神经形态视觉系统中广泛应用。
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。
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- 影响因子:0
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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)
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H.Yamada, T.Miyashita, M.Ohtani, K.Nishio, H.Yonezu, Y.Furukawa: "Signal Formation of Image-Edge Motion Based on Biological Retinal Networks and the Implementation into an Analog MOS Circuit"Opt.Rev.. Vol.8・No.5. 336-342 (2001)
H.Yamada、T.Miyashita、M.Ohtani、K.Nishio、H.Yonezu、Y.Furukawa:“基于生物视网膜网络的图像边缘运动信号形成及其在模拟 MOS 电路中的实现”Opt.Rev。 .Vol.8・No.336-342 (2001)
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M.Ohtani, H.Yamada, K.Nishio, H.Yonezu, Y.Furukawa: "Analog LSI Implementation of Biological Direction-Selective Neurons"Jpn.J.Appl.Phys.. Vol.41・No.3A. 1409-1416 (2002)
M.Ohtani、H.Yamada、K.Nishio、H.Yonezu、Y.Furukawa:“生物方向选择性神经元的模拟 LSI 实现”Jpn.J.Appl.Phys.. Vol.41・No.3A-。 1416 (2002)
- DOI:
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- 影响因子:0
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- 通讯作者:
M. Ohtani, H. Yamada, K. Nishio, H. Yonezu and Y. Furukawa: "Analog LSI Implementation of Biological Direction-Selective Neurons"Jpn. J. Appl. Phys.. Vol.41-No.3A. 1409-1416 (2002)
M. Ohtani、H. Yamada、K. Nishio、H. Yonezu 和 Y. Furukawa:“生物方向选择性神经元的模拟 LSI 实现”Jpn。
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YONEZU Hiroo其他文献
YONEZU Hiroo的其他文献
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{{ truncateString('YONEZU Hiroo', 18)}}的其他基金
Device Process for Integrated Systems Composed of Dislocation-Free III-V-N Alloys and Silicon
无位错III-V-N合金和硅组成的集成系统的器件工艺
- 批准号:
15002007 - 财政年份:2003
- 资助金额:
$ 7.87万 - 项目类别:
Grant-in-Aid for Specially Promoted Research
Massively Parallel Intelligent Preprocessing
大规模并行智能预处理
- 批准号:
13023205 - 财政年份:2000
- 资助金额:
$ 7.87万 - 项目类别:
Grant-in-Aid for Scientific Research on Priority Areas
Fabrication of Functional Heteroepitaxial Layers Embedding Devices
功能性异质外延层嵌入装置的制造
- 批准号:
11450011 - 财政年份:1999
- 资助金额:
$ 7.87万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Research on a vision chip based on biological systems
基于生物系统的视觉芯片研究
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09045052 - 财政年份:1997
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$ 7.87万 - 项目类别:
Grant-in-Aid for international Scientific Research
Fundamental Study of Nitride Semiconductor Materials for UV-Wavelength Laser Diode
紫外波长激光二极管氮化物半导体材料的基础研究
- 批准号:
08455037 - 财政年份:1996
- 资助金额:
$ 7.87万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Massively Parallel Optical Interconnection for Realization of Three-Dimensional Integrated Circuits
用于实现三维集成电路的大规模并行光互连
- 批准号:
07555014 - 财政年份:1995
- 资助金额:
$ 7.87万 - 项目类别:
Grant-in-Aid for Scientific Research (A)
Basic Research on Optoelectronic Devices for Neural Networks
神经网络光电器件基础研究
- 批准号:
01460082 - 财政年份:1989
- 资助金额:
$ 7.87万 - 项目类别:
Grant-in-Aid for General Scientific Research (B)
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