Applying machine learning eeg signal classification to emotion‑related brain anticipatory activity [version 3; peer

HIGHLIGHTS

• who: Competing interests No competing and collaborators from the Behavior and BrainLab, Universitu00e0 IULM, Milan, Italy have published the research: Applying machine learning EEG signal classification to emotionu2011related brain anticipatory activity [version 3; peer, 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 obtained in the experiment described in . . .
  

   

  

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