The convolutional neural network as a tool to classify electroencephalography data resulting from the consumption of juice sweetened with caloric or non-caloric sweeteners

HIGHLIGHTS

• who: Ana Carolina de Sousa Silva from the (CSIC), Spain Universidad Nacional Jau00e9n, Jau00e9n, Peru, Departamento Ciu00eancias Bu00e1sicas, Faculdade have published the paper: The convolutional neural network as a tool to classify electroencephalography data resulting from the consumption of juice sweetened with caloric or non-caloric sweeteners, in the Journal: (JOURNAL)
• what: Unlike Andersen et_al and Mouillot et_al , in this study the authors evaluated a beverage (i.e., passion fruit juice) with good acceptance after it is sweetened with aspartame or sucralose as a stimulus instead of evaluating a sweet solution. When the authors compare . . .
  

   

  

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

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

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