Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-Based EEG Signals
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3204758
Abstract: Brain–computer interface (BCI) is a technology that allows users to control computers by reflecting their intentions. Electroencephalogram (EEG)–based BCI has been developed because of its potential, however, its decoding performance is still insufficient to apply… read more here.
Keywords: decoding performance; performance; cnn architecture; rethinking cnn ... See more keywords
Weighting neurons by selectivity produces near-optimal population codes.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of neurophysiology"
DOI: 10.1152/jn.00504.2018
Abstract: Perception is produced by "reading out" the representation of a sensory stimulus contained in the activity of a population of neurons. To examine experimentally how populations code information, a common approach is to decode a… read more here.
Keywords: direction; decoding performance; population; selectivity ... See more keywords
The influence of non-stationarity of spike signals on decoding performance in intracortical brain-computer interface: a simulation study
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Computational Neuroscience"
DOI: 10.3389/fncom.2023.1135783
Abstract: Introduction Intracortical Brain-Computer Interfaces (iBCI) establish a new pathway to restore motor functions in individuals with paralysis by interfacing directly with the brain to translate movement intention into action. However, the development of iBCI applications… read more here.
Keywords: decoding performance; non stationarity; brain; simulation ... See more keywords