Mechano-gated iontronic piezomemristor for temporal-tactile neuromorphic plasticity

Xiao Wei, Zhixin Wu, Hanfei Gao, Shiqi Cao, Xue Meng, Yuqun Lan, Huixue Su, Zhenglian Qin, Hang Liu, Wenxin Du, Yuchen Wu (), Mingjie Liu () and Ziguang Zhao ()
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Xiao Wei: University of Chinese Academy of Sciences
Zhixin Wu: University of Chinese Academy of Sciences
Hanfei Gao: University of Science and Technology of China
Shiqi Cao: The Sixth Medical Center of Chinese PLA General Hospital
Xue Meng: University of Chinese Academy of Sciences
Yuqun Lan: Chinese Academy of Sciences
Huixue Su: University of Chinese Academy of Sciences
Zhenglian Qin: University of Chinese Academy of Sciences
Hang Liu: University of Chinese Academy of Sciences
Wenxin Du: Beihang University
Yuchen Wu: University of Chinese Academy of Sciences
Mingjie Liu: Beihang University
Ziguang Zhao: University of Chinese Academy of Sciences

Nature Communications, 2025, vol. 16, issue 1, 1-10

Abstract: Abstract In bioneuronal systems, the synergistic interaction between mechanosensitive piezo channels and neuronal synapses can convert and transmit pressure signals into complex temporal plastic pulses with excitatory and inhibitory features. However, existing artificial tactile neuromorphic systems struggle to replicate the elaborate temporal plasticity observed between excitatory and inhibitory features in biological systems, which is critical for the biomimetic processing and memorizing of tactile information. Here we demonstrate a mechano-gated iontronic piezomemristor with programmable temporal-tactile plasticity. This system utilizes a bicontinuous phase-transition heterogel as a stiffness-governed iontronic mechanogate to achieve bidirectional piezoresistive signals, resulting in wide-span dynamic tactile sensing. By micro-integrating the mechanogate with an oscillatory iontronic memristor, it exhibits stiffness-induced bipolarized excitatory and inhibitory neuromorphics, thereby enabling the activation of temporal-tactile memory and learning functions (e.g., Bienenstock–Cooper–Munro and Hebbian learning rules). Owing to dynamic covalent bond network and iontronic features, reconfigurable tactile plasticity can be achieved. Importantly, bridging to bioneuronal interfaces, these systems possess the capacity to construct a biohybrid perception-actuation circuit. We anticipate that such temporal plastic piezomemristor devices for abiotic-biotic interfaces can serve as promising hardware systems for interfacing dynamic tactile behaviors into diverse neuromodulations.

Date: 2025
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DOI: 10.1038/s41467-025-56393-w

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