Emotion Recognition and Understanding Using EEG Data in a Brain-inspired Spiking Neural Network Architecture
This paper is in the scope of emotion recognition by employing a brain-inspired recurrent spiking neural network (BI-SNN) architecture for modelling, mapping, learning, classifying, visualising, and understanding of spatio-temporal Electroencephalogram (EEG) data related to different emotional state...
| Main Authors: | , , , |
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| Format: | Others |
| Published: |
Ulster University,
2021-07-26T04:19:22Z.
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| Subjects: | |
| Online Access: | Get fulltext |