Nikolai Smetanin

This study shows that short-latency visual neurofeedback of parietal alpha activity enhances training effectiveness, with longer delays reducing sustained changes in alpha rhythm.

This paper develops algorithms to reduce feedback delay in brain rhythm-contingent paradigms using EEG data from human subjects.

This paper proposes an algorithm to reduce neurofeedback latency in EEG by optimizing FIR filter weights and analytic signal reconstruction, enabling predictive feedback with maintained accuracy.