A feed-forward time-multiplexed neural network with mixed-signal neuron–synapse arrays

A new time-multiplexed architecture is proposed for mixed-signal neural networks. MRIII is used for training the network which is more robust for implementing mixed-signal designs. The problem of node addressing and routing for implementing the MRIII is solved by performing the operations in current mode and using a counter. Arrays of mixed-signal multiplying-digital-to-analog (MDAC) blocks are used for synaptic multiplication. A compact architecture with a more linear transfer function is proposed for the MDAC to reduce the area, power consumption and noise. The proposed network is implemented using TSMC CMOS 0.18 μ technology. The results of an XOR (2-2-1) network are presented to show the generality of the design.