# Spiking Neural Networks applied to the classification of motor tasks in EEG signals

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/spiking-neural-networks-applied-to-the-classification-of-motor-tasks-in-eeg/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Carlos Daniel Virgilio Gonzalez,Humberto Sossa,Javier M. Antelis,Luis E. Falcón-Morales |
| Citations | 134 |
| DOI | 10.1016/j.neunet.2019.09.037 |
| Fields | Engineering,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2980481100 |
| PMID | 31677441 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Humberto Sossa](https://scholariq.org/researchers/humberto-sossa/)

## Paper journal

- [Neural Networks](https://scholariq.org/journals/neural-networks/)

## Paper primary topic

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

## Paper topics

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

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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.