2025-07-30 ローレンスリバモア国立研究所(LLNL)
＜関連情報＞
- https://www.llnl.gov/article/53206/llnl-researchers-train-liquid-droplets-play-tic-tac-toe
- https://www.science.org/doi/10.1126/sciadv.adv6603
液滴界面シナプスにおけるニューロモーフィック・イオンコンピューティング Neuromorphic ionic computing in droplet interface synapses
Zhongwu Li, Sydney K. Myers, Jingyi Xiao, Yuhao Li, […] , and Aleksandr Noy
Science Advances Published:23 Jul 2025
DOI:https://doi.org/10.1126/sciadv.adv6603
Abstract
Ionic devices with memory capabilities can emulate neural functionality, enabling neuromorphic computing and biomedical applications. In this study, we report an ionic spiking synapse based on aqueous droplet interface bilayer assembly. Under stepwise triangular voltages, the device displays coupled memcapacitive-memristive behavior, showing noncrossing pinched hysteretic I–V loops. This hysteretic ion dynamics can be regulated by modifying bilayer components, reconstituting protein channels, or adjusting droplet assembly configuration. Droplet interface synapses (DIS) exhibit fundamental neuromorphic behaviors such as paired-pulse facilitation/depression, spike rate–dependent plasticity, Hebbian learning, and short-term associative learning under classical conditioning. We also used reservoir computing with DIS to implement two learning algorithms: a classification algorithm that recognizes handwritten digits and a reinforcement learning algorithm that learns to play a board game of tic-tac-toe.
