A guided tutorial on modelling human event-related potentials with recurrent neural networks

HIGHLIGHTS

• who: Jamie A. Ou2019Reilly and collaborators from the College of Biomedical Engineering, Rangsit University, Pathum Thani, Thailand have published the article: A Guided Tutorial on Modelling Human Event-Related Potentials with Recurrent Neural Networks, in the Journal: Sensors 2022, 9243 of /2022/
• what: The authors aim to fill this gap in training. Throughout this paper, events are occasionally referred to using this convention, where the first letter represents the target and the second letter represents the stimulus presented. The model is optimized using the back-propagation-through-time algorithm implemented in TensorFlow, with a batch . . .
  

   

  

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