Dániel Fabó

The paper isolates human cortical tissue to show that rhythmic synchrony increases while network integration decreases, suggesting local circuits generate gamma activity and long-range inputs support complex dynamics.

This study tracks functional and structural changes in human cortical slice cultures over weeks, finding stable functional states despite structural degradation.

This study inhibits the right and bilateral DLPFC in adults during a statistical learning task and finds enhanced learning compared to sham, suggesting a hemisphere-dependent role of DLPFC in modulating unsupervised learning.

The paper compares heartbeat-related neural activity in the anterior thalamus during phasic and tonic REM sleep and wakefulness, finding distinct patterns in phasic REM.

The paper introduces the sleep EEG envelope spectrum as a neuronal firing-based biomarker, showing it reflects age and sex with high individual stability.

This study examines thalamic activity during scalp slow waves in humans and finds that thalamic activity is similar to scalp activity, driven by cortical inputs.

The paper investigates the relationship between thalamic sleep spindles, interictal epileptiform discharges (IEDs), and ripples in epilepsy patients, finding associations with epilepsy duration and general intelligence.

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.

This study investigates the laminar profiles of sleep spindles in humans using EEG and microelectrode recordings, finding no strong association between spindle types and laminar profiles.

This study identifies the cortical and thalamic generators of the human alpha rhythm, showing it originates in higher-order cortex and propagates to lower-order regions and thalamus.

This study shows that measuring neural activity during repetitive electrical stimulation can predict post-stimulation changes in brain network connectivity.

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.