Mixed-signal neuron-synapse implementation for large-scale neural network

This paper describes a mixed-signal neural networks VLSI for low power and asynchronous operation. The voltage-controlled transconductance produces the synaptic function of multiplication and summation of synaptic currents for neuron, by compensating the non-linearity of MOSFET resistance in the triode region.The flexible configuration of synapse accommodates the spike-based neural networks, inspired by the biological plausibility and low power requirement. The neuron with a combination of synapses demonstrates asynchronous spikes of integration-and-firing with a refractory period. The speed of individual synapse is simulated up to 300 Mega operations/s with the power consumption of less than 33 μW, using 0.18 μm CMOS.