2026-09-18 中国科学院（CAS）
＜関連情報＞
- https://english.cas.cn/newsroom/research-news/202609/t20260914_1200441.shtml
- https://www.nature.com/articles/s41928-026-01688-z
カスケード型ヘテロ界面イオントラップに基づくソフトマター多状態イオンニューロモルフィック処理 Soft-matter multistate ionic neuromorphic processing based on cascaded-heterointerface ion traps
Zhixin Wu (吴之心), Suli Zhang (张苏丽), Linxin Zhai (翟麟鑫), Ao Zhang (张傲), Xingyue Zhu (朱星玥), Jiayu Xu (徐嘉钰), Huirong Liu (刘慧荣), Zhiping Xu (徐志平), Lei Jiang (江雷) & Ziguang Zhao (赵紫光)
Nature Electronics Published:10 September 2026
DOI:https://doi.org/10.1038/s41928-026-01688-z
Abstract
Neuromorphic nanofluidics rely on nanoconfinement to regulate the ionic temporal dynamics. However, the inherent scales of the spatial interactions at nanoconfined interfaces limits the scalability and flexibility of such ionic neuromorphic devices. Here we report a multiphasic-gel-based ion transporter system with cascaded-heterointerfacial ion traps for soft-matter multistate ionic neuromorphic processing. The approach relies on interionic hierarchical cross-interface retardation and dissipation to induce heterointerface-trap dynamics. The resulting system offers ionic bipolar rectification with ratios exceeding 103 and spike-strength-dependent and timing-dependent dual-order plasticity. By integrating temporal short- and long-term memory effects, we show that the system can implement complex ion-based synaptic adaptability and learning rules, and offers multistate ionic neuromorphic processing with an energy consumption as low as 0.61 pJ per spike. We also develop a biohybrid neural circuit by interfacing an in vivo neuro-iontronic processor with the transected sciatic nerve of a rat, achieving bioneuron-driven ionic neuromorphic processing for interneural signal reconfiguration.
