# Data-driven models in human neuroscience and neuroengineering

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/data-driven-models-in-human-neuroscience-and-neuroengineering/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Bingni W. Brunton,Michael Beyeler |
| Citations | 49 |
| DOI | 10.1016/j.conb.2019.06.008 |
| Fields | Neuroscience |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1016/j.conb.2019.06.008 |
| OpenAlex ID | https://openalex.org/W2961360468 |
| PMID | 31325670 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Michael Beyeler](https://scholariq.org/researchers/michael-beyeler/)

## Paper primary topic

- [Functional Brain Connectivity Studies](https://scholariq.org/topics/functional-brain-connectivity-studies/)

## Paper topics

- [Functional Brain Connectivity Studies](https://scholariq.org/topics/functional-brain-connectivity-studies/)
- [Neural dynamics and brain function](https://scholariq.org/topics/neural-dynamics-and-brain-function/)
- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)

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