Sub-nJ per Decision Schmitt Trigger Comparator for Neuromorphic Spike Detection in 55 nm Technology
2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI)(2022)
摘要
Neuromorphic circuits are known for their promising ultra-low power AI applications in IoT field. However, sub-100 mV supply voltages hamper digital-enable devices due to their non-discrete and highly non-linear response. In this paper, a low-power Smith trigger comparator is proposed to interface spiking analog eNeurons and digital circuits. To this end, a subthreshold bias and BiCMOS 55 nm node technology are chosen. The proposed comparator is post-layout validated, having a maximum decision frequency of 400 kHz and an energy efficiency of 747 aJ/spike. This performance is compatible with existing artificial neurons.
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关键词
Neuromorphic circuits,Schmitt trigger,spiking neural networks,ultra-low power
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