Unsupervised Learning in Reservoir Computing for EEG-based Emotion Recognition

    IEEE Transactions on Affective Computing, pp. 1-1, 2020.

    Cited by: 1|Bibtex|Views7|Links

    Abstract:

    In real-world applications such as emotion recognition from recorded brain activity, data are captured from electrodes over time. These signals constitute a multidimensional time series. In this paper, Echo State Network (ESN), a recurrent neural network with a great success in time series prediction and classification, is optimized wit...More

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