Instability-driven electrohydrodynamic neurons for probabilistic computing
Fluidic memristors provide a liquid-state alternative to semiconductor hardware for energy-efficient neuromorphic computing. Yet, despite progress in synaptic plasticity, fluidic platforms have lacked a threshold-activated leaky integrate-and-fire (LIF) spiking primitive-the core building block of neuronal computation....