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

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，这将导致存储容量的大大增加和系统的复杂性。在本研究中，为了避免这一问题，并创建一种新型的芯片神经网络装置，我们提出了一种基于微磁传感器阵列的新型快速响应变突触耦合装置。可变突触耦合装置是一种线圈拾取式MI传感器装置的延伸装置。研究了突触耦合的器件操作。结果表明，将传统的C-MOS数字电路与所提出的突触耦合相结合，可以大大提高神经网络的运算速度。我们还提出了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作为δ - σ调制函数工作。结果表明，该系统可用于模拟信号到数字信号的转换以及高速神经网络的运行。综上所述，该神经网络不仅利用神经元放电的概率，而且利用神经元放电之间的时间相关性，适合于高珍贵度的信号处理。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。

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.