ANP-G: A 28-Nm 1.04-Pj/sop Sub-mm2 Asynchronous Hybrid Neural Network Olfactory Processor Enabling Few-Shot Class-Incremental On-Chip Learning
IEEE JOURNAL OF SOLID-STATE CIRCUITS（2025）
Key words
Neurons,Synapses,Training,Circuits,Accuracy,Olfactory,Membrane potentials,System-on-chip,Hardware,Power demand,Asynchronous circuit,gas recognition,on-chip learning,sensor drift,spike-timing-dependent plasticity (STDP),spiking neural network (SNN)
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