# Motor cortical prediction of EMG: evidence that a kinetic brain-machine interface may be robust across altered movement dynamics

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/motor-cortical-prediction-of-emg-evidence-that-a-kinetic-brain-machine-interface/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Anil Cherian,Max Krucoff,Lee E. Miller |
| Citations | 44 |
| DOI | 10.1152/jn.00553.2010 |
| Fields | Engineering,Neuroscience |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.ncbi.nlm.nih.gov/pmc/articles/3154818 |
| OpenAlex ID | https://openalex.org/W2040295647 |
| PMID | 21562185 |
| Type | article |
| Year | 2011 |

## Paper authors

- [Max Krucoff](https://scholariq.org/researchers/max-krucoff/)

## 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/)
- [Muscle activation and electromyography studies](https://scholariq.org/topics/muscle-activation-and-electromyography-studies/)
- [Neuroscience and Neural Engineering](https://scholariq.org/topics/neuroscience-and-neural-engineering/)

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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.