Joseph R. Madsen

The paper identifies a localized, invariant neural representation of parts of speech in the human brain using invasive recordings from epilepsy patients.

This study investigates dynamic neural processes during complex human memory using a card-matching game and intracranial recordings, revealing gamma-band activity related to novelty, familiarity, and associative recall.

This study investigates neural processes during conflict resolution in cognitive control tasks and finds task-specific neural signatures that do not generalize across tasks.

The paper examines 1/f aperiodic activity in cortical layers across species, finding steeper slopes and greater magnitudes in superficial layers.

The paper identifies three distinct classes of cortical activity using high-density microelectrodes, showing they are modulated by stimuli and present across species.

The paper analyzes spindles in humans to show they create spatiotemporal patterns of neuronal co-firing that may support memory consolidation during NREM sleep.

This paper demonstrates that intracortical signals from areas distant from seizure onset can predict focal seizures with 90% accuracy using machine learning.

The paper simulates human sleep spindle MEG and EEG by integrating ion channel dynamics and circuit-level neural activity across multiple scales.

This study identifies two distinct patterns of human sleep spindle generation in different cortical layers using microelectrode recordings and factor analysis.

The paper shows that superficial slow rhythms in the human cortex generate EEG activity and integrate cortical processing during wakefulness and sleep.