An Artificial Dopamine‐Ionic Cascade Synapse for Adaptive Neuromorphic Attention

H Hongjie Zhang (State Key Laboratory of Rare Earths) Y Yueqi Xiang (School of Microelectronics Southern University of Science and Technology Shenzhen China) X Xiangyu Zhang L Lei Zhang Q Qiqi Xue (Shenzhen Key Laboratory of Soft Mechanics and Smart Manufacturing Department of Mechanics and Aerospace Engineering Southern University of Science and Technology Shenzhen P. R. China) X Xinyi Zhu (Department of Ultrasound, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital) W Wenbo Chang T Tianhao Li (Chemistry Department) X Xiong Yu C Canhui Yang Y Yuanjing Lin M Mingming Zhang (State Key Laboratory for Porous Metal Materials, Shaanxi Key Laboratory of New Conceptual Sensors and Molecular Materials, Shaanxi International Research Center for Soft Matter, Xi’an Key Laboratory of Sustainable Polymer Materials, School of Materials Science and Engineering) R Ruibing Wang (State Key Laboratory of Mechanism and Quality of Chinese Medicine, Institute of Chinese Medical Sciences) K Kai Xiao

Abstract

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.

Article Details

Volume / Issue Vol. 38, Issue 27
Published May 01, 2026
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (14)

H

Hongjie Zhang

State Key Laboratory of Rare Earths

Y

Yueqi Xiang

School of Microelectronics Southern University of Science and Technology Shenzhen China

X

Xiangyu Zhang

L

Lei Zhang

Q

Qiqi Xue

Shenzhen Key Laboratory of Soft Mechanics and Smart Manufacturing Department of Mechanics and Aerospace Engineering Southern University of Science and Technology Shenzhen P. R. China

X

Xinyi Zhu

Department of Ultrasound, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital

W

Wenbo Chang

T

Tianhao Li

Chemistry Department

X

Xiong Yu

C

Canhui Yang

Y

Yuanjing Lin

M

Mingming Zhang

State Key Laboratory for Porous Metal Materials, Shaanxi Key Laboratory of New Conceptual Sensors and Molecular Materials, Shaanxi International Research Center for Soft Matter, Xi’an Key Laboratory of Sustainable Polymer Materials, School of Materials Science and Engineering

R

Ruibing Wang

State Key Laboratory of Mechanism and Quality of Chinese Medicine, Institute of Chinese Medical Sciences

K

Kai Xiao