"Spiking Neural Networks applied to the classification of motor tasks in ..."

Carlos Daniel Virgilio-González et al. (2020)

> Home

Details and statistics

DOI: 10.1016/J.NEUNET.2019.09.037

access: closed

type: Journal Article

metadata version: 2025-01-08

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/nn/GonzalezAAF20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/nn/GonzalezAAF20
Carlos Daniel Virgilio-González, Juan Humberto Sossa Azuela, Javier Mauricio Antelis, Luis Eduardo Falcón:
Spiking Neural Networks applied to the classification of motor tasks in EEG signals. Neural Networks 122: 130-143 (2020)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.