# A bioinspired analogous nerve towards artificial intelligence

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-bioinspired-analogous-nerve-towards-artificial-intelligence/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Xinqin Liao,Weitao Song,Xiangyu Zhang,Chao-Qun Yan,Tianliang Li,Hongliang Ren,Cun‐Zhi Liu,Yongtian Wang,Yuanjin Zheng |
| Citations | 151 |
| DOI | 10.1038/s41467-019-14214-x |
| Fields | Engineering,Neuroscience |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41467-019-14214-x.pdf |
| OpenAlex ID | https://openalex.org/W2999029963 |
| PMID | 31937777 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Cun‐Zhi Liu](https://scholariq.org/researchers/cun-zhi-liu/)

## Paper journal

- [Nature Communications](https://scholariq.org/journals/nature-communications/)

## Paper primary topic

- [Neuroscience and Neural Engineering](https://scholariq.org/topics/neuroscience-and-neural-engineering/)

## Paper topics

- [Neuroscience and Neural Engineering](https://scholariq.org/topics/neuroscience-and-neural-engineering/)
- [Advanced Sensor and Energy Harvesting Materials](https://scholariq.org/topics/advanced-sensor-and-energy-harvesting-materials/)
- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.