# Online internal speech decoding from single neurons in a human participant

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/online-internal-speech-decoding-from-single-neurons-in-a-human-participant/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sarah Kim Wandelt,David A. Bjånes,Kelsie Pejsa,Brian Lee,Charles Y. Liu,Richard A. Andersen |
| Citations | 19 |
| DOI | 10.1101/2022.11.02.22281775 |
| Fields | Neuroscience |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.medrxiv.org/content/medrxiv/early/2022/11/05/2022.11.02.22281775.full.pdf |
| OpenAlex ID | https://openalex.org/W4308302840 |
| Type | preprint |
| Year | 2022 |

## Paper authors

- [David A. Bjånes](https://scholariq.org/researchers/david-a-bjanes/)

## Paper journal

- [medRxiv](https://scholariq.org/journals/medrxiv/)

## Paper primary topic

- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)

## Paper topics

- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)
- [Neural dynamics and brain function](https://scholariq.org/topics/neural-dynamics-and-brain-function/)
- [Neuroscience and Neural Engineering](https://scholariq.org/topics/neuroscience-and-neural-engineering/)

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