This chapter presents general methods for deep learning and deep knowledge representation of EEG data in brain-inspired SNN (BI-SNN). These methods are applied to develop specific methods for EEG data analysis and for modelling brain cognitive functions, such as: performing cognitive tasks; emotion recognition from face expression; sub-conscious processing of stimuli; modelling attentional bias.
CITATION STYLE
Kasabov, N. K. (2019). Deep Learning and Deep Knowledge Representation of EEG Data (pp. 291–337). https://doi.org/10.1007/978-3-662-57715-8_8
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