Spinal-inspired artificial tactile interneuron with high-order burst spiking for intelligent edge interfaces
Fanfan Li, Zhanglu Yan, Jiayi Mao, Guolei Liu, Huihui Ren, Bangbang Qin, Zhongfang Zhang, Haiyue Zhang, Yiyang Shen, Zeqi Zheng, Weilong Feng, Dingwei Li, Yingjie Tang, Saisai Wang, Yaochu Jin, Tao Luo, Weng-fai Wong, Hong Wang, Bowen Zhu · 2026
Read Spinal-inspired artificial tactile interneuron with high-order burst spiking for intelligent edge interfaces by Fanfan Li, Zhanglu Yan, Jiayi Mao, Guolei Liu, Huihui Ren, Bangbang Qin, Zhongfang Zhang, Haiyue Zhang, Yiyang Shen, Zeqi Zheng, Weilong Feng, Dingwei Li, Yingjie Tang, Saisai Wang, Yaochu Jin, Tao Luo, Weng-fai Wong, Hong Wang, Bowen Zhu (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13526877.txt.
Description
Li and colleagues built an artificial tactile interneuron in 2026 that copies how the spinal cord fuses touch signals before they reach the brain. Human touch merges strain, pressure, and temperature into compact spike patterns that carry object properties. Their device joins three sensor types with a memristor neuron, an electronic element that fires like a nerve cell, on one hybrid platform.
The system emits unified burst spike trains whose timing encodes an object's size, hardness, and temperature in a single stream, ready to feed a spiking neural network. On a twenty-class object recognition task, the hardware-based encoding paired with a software network reached accuracy above ninety percent. The authors present the design as a compact, low-power route to multimodal touch for intelligent edge devices, machines that must sense and decide locally without a data center.
Catalog record
| CREATOR | Fanfan Li, Zhanglu Yan, Jiayi Mao, Guolei Liu, Huihui Ren, Bangbang Qin, Zhongfang Zhang, Haiyue Zhang, Yiyang Shen, Zeqi Zheng, Weilong Feng, Dingwei Li, Yingjie Tang, Saisai Wang, Yaochu Jin, Tao Luo, Weng-fai Wong, Hong Wang, Bowen Zhu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 37 KB |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |