Birgit Nierula

The paper investigates how expectations about AI-generated images affect neural preparation, finding lower alpha power when expecting fake faces compared to real ones.

This study decodes peripheral stimulation from spinal and cortical recordings, showing that spinal signals provide complementary information to cortical EEG for mixed stimulation tasks.

This study investigates whether expectation affects repetition suppression in nociception using EEG and physiological data, finding no significant differences between expected and unexpected stimulus repetitions.

The paper develops a method to noninvasively record high frequency oscillations (HFOs) across the entire human CNS in response to somatosensory stimulation, showing low and high frequency responses represent independent processing channels.

This paper develops a multi-channel electrophysiology method to non-invasively record human spinal cord activity with high temporal resolution and demonstrates its application in studying somatosensation and nociception.

This study evaluates noise correction methods for electrospinography (ESG) to reduce cardiac artefacts and improve signal quality in human spinal cord recordings.

The paper investigates how local excitability changes in the somatosensory cortex affect neural responses to hand and foot stimuli, finding somatotopic organization in alpha and beta band effects.

This study investigates how different brain-computer interface paradigms affect the sense of agency and responsibility in controlling virtual movements.