基于忆容桥的突触电路研究

利用4个相同忆容器构建一个能实现零、正和负突触权重的忆容桥电路。在附加3个晶体三极管后，忆容桥权重电路能够实现神经细胞的突触操作。由于整个操作都是基于脉冲输入信号，因此整个电路是高效节能的。通过Matlab实现突触权重设计和突触权重乘法的模拟。仿真实验结果表明，基于线性忆容桥的突触电路在性能上与忆阻突触桥电路基本相当，优于传统突触乘法电路。

Synapses Circuit Research Based on Memcapacitor Bridge

Through using the mathematical model of the charge-controlled memcapacitor, a memcapacitor bridge circuit consisting of four identical memcapacatiors is proposed that is able to perform zero, negative, and positive synaptic weightings. And together with three additional transistors, the memcapacitor bridge weight circuit is able to perform synaptic operation for neural cells. It is power efficient, since the operation is based on pulsed input signals. Synaptic weight programming and synaptic weight multiplication processing is performed by using the Matlab. Simulation results show that the performance of synapses circuit based on linear-memcapacitor bridge is almost equal as the memristor bridge synapses circuit, and is better than the traditional multiplication circuit.