David Haslacher

This study develops real-time phase-tuned tACS to enhance working memory by adjusting phase lag relative to alpha oscillations, showing improved performance at specific phase lags.

This study uses transcranial stimulation to show that frontal delta oscillations causally affect heartbeat perception, with enhanced synchrony reducing detection accuracy.

This study uses SASS to directly show that phase-dependent enhancement and suppression of brain oscillations occur during AM-tACS, with behavioral effects predicted by oscillation modulation.

This study shows that heart rate variability predicts decline in BCI control performance during voluntary sensorimotor rhythm control in healthy participants.

This paper introduces SASS, an algorithm to remove stimulation artifacts during AM-tACS, enabling reliable assessment of brain oscillations and enabling adaptive stimulation.

This paper introduces a strategy for brain/neural robot control using fewer scalp electrodes, showing comparable classification accuracy to conventional methods even when participants chew.