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STUDY ON SELF ORGANIZATION NEWRAL NETWORK USING MICRO MAGNETIC SENSOR ARRAYS FOR VARIABLE-SYNAPSE COUPLING DEVICE

可变突触耦合器件微磁传感器阵列自组织NewRAL网络研究

基本信息

批准号：
15560294
负责人：
UCHIYAMA Tsuyoshi
金额：
$ 2.37万
依托单位：
Nagoya University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2003
资助国家：
日本
起止时间：
2003 至 2005
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-15560294/
关键词：
Variable-Synapse Coupling Neural Network Micro Magnetic Sensor MI element Multiple and Summation Operation Delta-Sigma Operation Profanity of firing of neural High Order Brain function マイクロ磁気センサアレイ自己組織化可変シナプス結合素子パルス密度変調回路並列分散処理

项目摘要

The key functional devices which plays important role in the neural network, were variable- synapse couplings. However, it would be lead to both much increase of capacity of memory and complexity of the system, when we use a conventional digital system. In this study, to avoid this problem and to create a new type chip neural network device, we propose a new quick response variable-synapse coupling device based on micro-magnetic sensor arrays.The variable-synapse coupling device is extension device of a coil-pickup MI sensor device. The device operation for the synapse coupling was investigated. We obtained such result that operation speed of neural network would be much increase, when we use conventional C-MOS digital circuit in combination with the proposed synapse couplings.We also newly propose magnetic feedback neural network circuit. It was shown that the pulse neural network based on the magnetic feedback circuit works as a delta-sigma modulation function. It is concluded that the system is useful for conversion of analogue signal to digital signal in addition to high speed neural network operation.In summary, the proposed neural network is adapted for high precious signal processing which use not only probability of firing of neuron but also time correlation between firing. In another word, the high order brain function may be achieved, when we use pulse function neural network based on micro magnetic sensor arrays as variable-synapse couplings.

在神经网络中起重要作用的关键功能器件是可变突触耦合.然而，当我们使用传统的数字系统时，这将导致存储器容量的大量增加和系统的复杂性。本研究针对这一问题，提出了一种基于微磁传感器阵列的快速响应的可变突触耦合器件，该器件是线圈拾取式MI传感器的扩展器件，旨在构建一种新型的芯片神经网络器件。研究了突触耦合的器件操作。我们得到这样的结果，当我们使用传统的C-MOS数字电路与所提出的突触耦合相结合时，神经网络的运算速度将大大提高。我们还提出了新的磁反馈神经网络电路。结果表明，基于磁反馈电路的脉冲神经网络是一种delta-sigma调制函数。结果表明，该系统除了具有高速的神经网络运算能力外，还可用于模拟信号到数字信号的转换，适用于既利用神经元的放电概率又利用放电之间的时间相关性的高精度信号处理。也就是说，将基于微磁传感器阵列的脉冲函数神经网络作为可变突触耦合，可以实现高阶脑功能。