Artificial Nanochannel-Mediated Ionic Transmembrane Potential for Adaptive Neuromorphic Tactile Perception

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Authors: Jiqing Dai, Song Wang, Jianrui Zhang, Wenzheng Zhou, Wenchao Liu, Li Wang, Zhehao Ren, Yuanxia Chen, Haitao Zhang, Xinyi Zhu, Tingrui Pan, Kai Xiao
Cited by: 3
References: 51

Abstract

Biological perception represents a sophisticated process that seamlessly integrates adaptive sensory processing with neural computation. The core mechanism involves transforming external stimuli into potential signals with receptor-synapse synergy enabled by precise ion transport. Inspired by nature's paradigm, we present an adaptive neuromorphic tactile perception system that couples piezoionic sensing with synaptic computing functions via nanochannel-mediated ion transport. The biomimetic tactile device is a composite of two ionic hydrogel films separated by a PET nanochannel membrane. Similar to mechanosensitive ion channels, applied pressure drives ions to selectively traverse the nanochannels, producing fast-adaptive transmembrane potential in single units and slow-adaptive potential maintenance via force-driven coupling of piezoionic signaling with electrical relaxation across interconnected units. Leveraging adaptive sensory signaling within interconnected units, the neuromorphic system reduces the recording consumption of pressure information by 75% and achieves 92.3% texture recognition accuracy. This capability offers a promising pathway toward overcoming integration and computation bottlenecks in wearable intelligent sensing.

Fields of Study & Subjects

Advanced Sensor and Energy Harvesting Materials Nanopore and Nanochannel Transport Studies Dielectric materials and actuators

Publication details

Journal / source
ACS Nano
Publisher
American Chemical Society (ACS)
Volume
20
Issue
10
Pages
8891–8901
Publication date
6 March 2026
Language
EN