A MEMS based architecture of artificial neuron

In this paper we propose an optical artificial neuron with synapses fulfilled through reflected light from MEMS mirrors. Its structure is thoroughly described and a detailed critical analysis of neuron performance is given, including issues of number of inputs, the change of synaptic weight, synapse weight setting precision to the prescribed value and even the influence of acoustic noise. Then we draw a conclusion about the effectiveness of such a configuration showing the applicability of MEMS technology to artificial neural networks, and give proposals for attaining effective neural systems.