Discrimination of Movement-Related Cortical Potentials Exploiting Unsupervised Learned Representations From ECoGs

Discrimination of Movement-Related Cortical Potentials Exploiting Unsupervised Learned Representations From ECoGs

Brain–Computer Interfaces (BCI) aim to bypass the peripheral nervous system to link the brain to external devices via successful modeling of decoding mechanisms. BCI based on electrocorticogram or ECoG represent a viable compromise between clinical practicality, spatial resolution, and signal qualit...

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Bibliographic Details
Main Authors: Carlos A. Loza, Chandan G. Reddy, Shailaja Akella, José C. Príncipe
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-11-01
Series:Frontiers in Neuroscience
Subjects:
brain-computer interfaces
electrocoticogram (ECoG)
generative model
minimum description length (MDL)
representation learning
temporal marked point process
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2019.01248/full

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https://www.frontiersin.org/article/10.3389/fnins.2019.01248/full

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