Neuromorphic Nanofluidic Sense Digitalization
Zu-Ming Duan, Yi‐Tong Xu, Zheng Li, Jian-Xiang Pang, Jing‐Juan Xu, Weiwei Zhao
Abstract
Nanofluidic memristors have recently been reshaped into artificial synapses capable of mimicking many fundamental neurosynaptic patterns, while sense digitalization has been increasingly explored to link the neuromorphic devices with external equipment. By inspiration of dopaminergic nerve, here a nanofluidic nerve with sense digitalization is devised by engineering a dopamine (DA)-specific nanofluidic synapse as mediated by PC-12 cells to manage the robotic arm. Different from previous neuromorphic perception of DA via redox reaction, the aptamer-based perception here is based on biological DA recognition by its receptor as indicated by the ionic signals. Various neurosynaptic patterns are emulated with DA-dependent plasticity, based on which the digital representation of DA perception is used to control the robotic arm.