Evolving probabilistic spiking neural networks for modelling and pattern recognition of spatio-temporal data on the case study of Electroencephalography (EEG) brain data
The use of Electroencephalography (EEG) in Brain Computer Interface (BCI) domain presents a challenging problem due to presence of spatial and temporal aspects inherent in the EEG data. Many studies either transform the data into a temporal or spatial problem for analysis. This approach results in l...
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| Format: | Others |
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Auckland University of Technology,
2013-06-03T22:57:37Z.
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| Online Access: | Get fulltext |