Decoding Speech Perception by Native and Non-Native Speakers Using Single-Trial Electrophysiological Data

Last July, the second article written during my PhD research was published in the open source journal PLOS One. The article presents the results of a series of pattern classification analyses carried out using electroencephalographic (EEG) data collected from native and non-native speakers of English while they listened to speech sounds. The results show that individual and group-level differences in the perception of these sounds are present in the single-trial EEG data, suggesting that these same analysis methods could be utilized in real-time neuroimaging paradigms such as brain-computer interfaces and neurofeedback. A link to the online version of the article is provided below:

Decoding Speech Perception by Native and Non-Native Speakers Using Single-Trial Electrophysiological Data

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