Spiking neural network methodology for modelling, classification and understanding of EEG spatio-temporal data measuring cognitive processes

@article{Kasabov2015SpikingNN,
  title={Spiking neural network methodology for modelling, classification and understanding of EEG spatio-temporal data measuring cognitive processes},
  author={Nikola K. Kasabov and Elisa Capecci},
  journal={Inf. Sci.},
  year={2015},
  volume={294},
  pages={565-575}
}
The paper offers a new methodology for modelling, recognition and understanding of electroencephalography (EEG) spatio-temporal data measuring complex cognitive brain processes during mental tasks. The key element is that mental tasks are performed through complex spatio-temporal brain processes and they can be better understood only if we model properly the spatio-/spectro temporal data that measures these processes. The proposed methodology is based on a recently proposed novel spiking neural… CONTINUE READING

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