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

  • Published:2020-02 Issue: Volume:122 Page:130-143
  • ISSN:0893-6080
  • Container-title:Neural Networks
  • language:en
  • Short-container-title:Neural Networks

Author:

Virgilio G. Carlos D.,Sossa A. Juan H.ORCID,Antelis Javier M.,Falcón Luis E.

Funder

Instituto Politécnico Nacional

Secretaria de Investigación y Posgrado

SIP-IPN

Consejo Nacional de Ciencia y Tecnología

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference44 articles.

1. Multiple classifier system for EEG signal classification with application to brain-computer interfaces;Ahangi;Neural Computing and Applications,2013

2. Pattern recognition for electroencephalographic signals based on continuous neural networks;Alfaro-Ponce;Neural Networks,2016

3. Dendrite morphological neural networks for motor task recognition from electroencephalographic signals;Antelis;Biomedical Signal Processing and Control,2018

4. Use of the evoked potential P3 component for control in a virtual apartment;Bayliss;IEEE Transactions on Neural Systems and Rehabilitation Engineering,2003

5. Classification methods for ongoing EEG and MEG signals;Besserve,2007

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