Wafer-Scale Dynamic Neural-Network-System with Optical Waveguide

我们提出了一种新的光波导动态神经网络系统。活着的神经有几千个连接，即突触。这些连接在生活信息处理系统中扮演着重要的角色，并为人类提供识别和关联。这种光波导能同时汇总许多像突触一样的输入信号。本研究的目的是研究这种具有光波导的光神经网络系统的可能性，并制作用于该系统的测试芯片和测试模块。对于具有光波导的动态神经网络系统，我们采用了同时摄动学习算法。在使用同步扰动的学习算法中，我们可以通过相同的增量同时更新突触的权重。因此，同时摄动学习算法非常适用于具有光波导的动态神经网络系统。我们为该系统提出了新的突触电路和学习电路。我们还提出了一种三维堆叠结构的动态神经网络系统。在该系统中，除了用于突触连接的光波导之外，还使用了可重新配置的电路。为了制作该系统的测试芯片和测试模块，开发了基于光波导的光互连技术和基于可重构电路的三维集成技术等基础技术。

We proposed a new dynamic neural network system with optical wave guides. Living nerves have several thousand connections, namely synapses. These connections play an important role in living information processing system and provide recognition and association for human. The optical wave guide can simultaneously sum up many input signals like synapses. This study aimed in study the possibility of such optical neural network system with optical wave guides and to fabricate the test chips and test modules for the system. We adopted the learning algorithm using simultaneous perturbation for the dynamic neural network system with optical wave guides. We can simultaneously update the weights of synapses by the same increment in the learning algorithm using simultaneous perturbation. Therefore, the learning algorithm using simultaneous perturbation is very suitable for the dynamic neural network system with optical wave guides. We proposed new synapse circuit and learning circuit for this system. We also proposed a dynamic neural network system with three-dimensionally stacked structure. The re configurable circuits are used in this system in addition to the optical waveguides for synaptic connection. In order in fabricate the test chips and teat modules for this system, basic technologies such as the optical interconnection technology using waveguides and the three-dimensional integration technology using re-configurable circuits were developed.