# Brain-to-text: decoding spoken phrases from phone representations in the brain

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/brain-to-text-decoding-spoken-phrases-from-phone-representations-in-the-brain/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Christian Herff,Dominic Heger,Adriana de Pesters,Dominic Telaar,Peter Brunner,Gerwin Schalk,Tanja Schultz |
| Citations | 317 |
| DOI | 10.3389/fnins.2015.00217 |
| Fields | Engineering,Neuroscience |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.3389/fnins.2015.00217 |
| OpenAlex ID | https://openalex.org/W1488659701 |
| PMID | 26124702 |
| Type | article |
| Year | 2015 |

## Paper authors

- [Peter Brunner](https://scholariq.org/researchers/peter-brunner/)
- [Gerwin Schalk](https://scholariq.org/researchers/gerwin-schalk/)

## 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/)
- [Advanced Memory and Neural Computing](https://scholariq.org/topics/advanced-memory-and-neural-computing/)

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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.