Decoding reappraisal and suppression from neural circuits: a combined supervised and unsupervised machine learning approach

HIGHLIGHTS

• who: Parisa Ahmadi Ghomroudi from the Clinical and Affective Neuroscience Lab, Department of Psychology and Cognitive Sciences, DiPSCo, University of Trento, Rovereto, Italy have published the paper: Decoding reappraisal and suppression from neural circuits: A combined supervised and unsupervised machine learning approach, in the Journal: (JOURNAL)
• what: This work provides new insights regarding the decoding of individual differences from structural features and other psychologically relevant variables while extending previous observations on the neural bases of emotion regulation strategies. This study focused only on reappraisal, the sample size was quite small for machine_learning analyses, and the . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.