Neuromorphic Nanofluidic Sense Digitalization

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.

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Publication Details

Journal
Angewandte Chemie International Edition
Published
2024-11-21
DOI
https://doi.org/10.1002/anie.202420602
Citations
12
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
2.50
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article

Neuromorphic Nanofluidic Sense Digitalization

Weiwei Zhao, Yi‐Tong Xu, Jing‐Juan Xu, Zheng Li et al.
12 citations
Angewandte Chemie International Edition
Advanced Memory and Neural Computing
2.50
article

Neuromorphic Nanofluidic Sense Digitalization

Weiwei Zhao, Yi‐Tong Xu, Jing‐Juan Xu, Zheng Li, Jian-Xiang Pang, Zu-Ming Duan
article en
12 citations

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.

Angewandte Chemie International EditionVol. 64(6)
Nanjing University (CN)
Openalex Percentile: Top 10%
Advanced Memory and Neural Computing
2.50
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