An Artificial Dopamine‐Ionic Cascade Synapse for Adaptive Neuromorphic Attention

Biological intelligence operates through chemo-ionic signal processing, where neurotransmitters encode information as spatiotemporal chemical gradients that regulate ionic dynamics across neural synapses. Given the diversity of chemical neurotransmitters and ion species, developing an artificial chemo-ionic cascade synapse that can translate biochemical signals into tunable synaptic weights will be of great significance for brain-inspired computing and brain-computer interfaces. Here, we present an artificial dopamine (DA)-ionic cascade synapse by integrating a sensitive DA sensor with an ionic elastomer-based neuromorphic device. The oxidation of DA generates localized electric fields that electrostatically modulate ion migration within the ionic elastomer device, enabling chemical-to-ionic signal transduction and dynamic plasticity control. Consequently, biochemical cues like DA concentration can be directly reflected in tunable ionic synaptic weights, which can then be used to control a robotic platform for recognition tasks. This artificial synapse exhibits biochemical signal-driven behavioral selectivity in an object-grasping task, completing a perception-decision-execution loop. This work establishes a framework for processing biochemical information via native ionic dynamics, paving the way for chemically neuromorphic systems and embodied human-machine interaction.

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Publication Details

Journal
Advanced Materials
Published
2026-04-15
DOI
https://doi.org/10.1002/adma.202521464
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

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article

An Artificial Dopamine‐Ionic Cascade Synapse for Adaptive Neuromorphic Attention

Kai Xiao, Ruibing Wang, Qiqi Xue, Canhui Yang et al.
Advanced Materials
Advanced Sensor and Energy Harvesting Materials
article

An Artificial Dopamine‐Ionic Cascade Synapse for Adaptive Neuromorphic Attention

Kai Xiao, Ruibing Wang, Qiqi Xue, Canhui Yang, Wenbo Chang, Li Zhang, Haitao Zhang, Xiong Yu, Xiangyu Zhang, Yueqi Xiang, Xinyi Zhu, Yuanjing Lin, Tianhao Li
article en

Abstract

Biological intelligence operates through chemo-ionic signal processing, where neurotransmitters encode information as spatiotemporal chemical gradients that regulate ionic dynamics across neural synapses. Given the diversity of chemical neurotransmitters and ion species, developing an artificial chemo-ionic cascade synapse that can translate biochemical signals into tunable synaptic weights will be of great significance for brain-inspired computing and brain-computer interfaces. Here, we present an artificial dopamine (DA)-ionic cascade synapse by integrating a sensitive DA sensor with an ionic elastomer-based neuromorphic device. The oxidation of DA generates localized electric fields that electrostatically modulate ion migration within the ionic elastomer device, enabling chemical-to-ionic signal transduction and dynamic plasticity control. Consequently, biochemical cues like DA concentration can be directly reflected in tunable ionic synaptic weights, which can then be used to control a robotic platform for recognition tasks. This artificial synapse exhibits biochemical signal-driven behavioral selectivity in an object-grasping task, completing a perception-decision-execution loop. This work establishes a framework for processing biochemical information via native ionic dynamics, paving the way for chemically neuromorphic systems and embodied human-machine interaction.

Advanced Materials
University of Macau (MO), Southern University of Science and Technology (CN)
Guangdong Innovative and Entrepreneurial Research Team Program, National Natural Science Foundation of China, Shenzhen Science and Technology Innovation Program, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 24%
Advanced Sensor and Energy Harvesting Materials
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