Applying machine learning eeg signal classification to emotion‑related brain anticipatory activity [version 1; peer review: 2 approved with reservations]

HIGHLIGHTS

• who: Competing interests No competing et al. from the Behavior and BrainLab, Università IULM, Milan, Italy have published the Article: Applying machine learning EEG signal classification to emotion‑related brain anticipatory activity [version 1; peer review: 2 approved with reservations], in the Journal: (JOURNAL) of 13/Oct/2021
• what: This work aims to provide new methodological insight into machine learning applied to emotion identification based on electrophysiological brain activity. Starting from the abovementioned studies, the authors focused on the extension of brain anticipatory activity to statistically unpredictable emotional stimuli. The data of this study were . . .
  

   

  

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