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How time window influences biometrics performance: an EEG-based fingerprints connectivity study
EEG-based biometric represents a relatively recent research field that aims to recognize individuals based on their recorded brain activity by means of electroencephalography (EEG).
On the variability of functional connectivity and network measures in source-reconstructed EEG time-series
The idea to estimate the statistical interdependence among (interacting) brain regions has motivated numerous researchers to investigate how the resulting connectivity patterns and networks may organize themselves under any conceivable scenario.
Pattern recognition on the quantum Bloch sphere
We introduce a framework suitable for describing pattern recognition task using the mathematical language of density matrices.
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