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The bottom-up and top-down attentional regulation plays an important role for auditory perception.To track the dynamics of cortical response in an auditory stimulus discrimination task, both scalp EEG recording on normal subject and intracranial EEG recording on epilepsy patients undergoing subdural electrode monitoring for surgical purpose are employed to map the attentional effects.Both low frequency event-related potential and high gamma oscillations were analyzed to obtain the property of early passive components and late active responses respectively.Moreover, these cortical neural dynamics was detected in an online fashion by machine learning algorithms to establish an auditory brain-computer interface, which is potentially useful for locked-in patients with vision impairment.