Eric Halgren

The paper shows top-down semantic predictions align phonetic neuronal dynamics in the human superior temporal gyrus during speech processing.

The paper shows that ripple oscillations enhance cross-region neuron co-firing during working memory tasks, supporting long-distance neural communication.

This study shows that cortical surface electrical stimulation in awake mice initially activates L2/3 neurons and then causes prolonged inhibition, altering sensory processing and neuronal selectivity.

The paper shows that high-frequency co-ripples synchronize multiple cortical areas during semantic processing, supporting their role in information integration.

The paper develops a biophysically realistic human brain model to study how synaptic connectivity influences the emergence of global and local slow waves during slow-wave sleep.

The paper identifies modular organization in human superior temporal gyrus for phoneme processing using high-density micro-arrays.

The paper introduces a high-channel-count flexible electrode for deep brain recording, capable of capturing single-unit activity from up to 128 channels.

The paper introduces a Brain-iEEG-microdisplay that measures and displays real-time brain activity during surgery, improving precision and efficiency in neurosurgical procedures.

This study shows that co-occurring ripple oscillations enhance neuronal interactions between cortical locations in humans by facilitating prediction and co-firing of neurons.

The paper investigates how thalamic spindles and upstates coordinate cortico-cortical and hippocampo-cortical co-ripples in humans during NREM sleep, finding that thalamic ripples do not directly synchronize co-ripples but spindles and upstates do.

This study shows cortical ripples occur during human NREM sleep and waking with similar characteristics to hippocampal ripples, associated with upstates, spindles, and unit co-firing, suggesting a role in memory consolidation.

This paper shows that high-frequency ripples synchronize cortical activity across distant brain regions during sleep, waking, and memory recall, supporting the binding-by-synchrony theory.

The paper shows that sleep spindles vary continuously across multiple dimensions rather than being strictly divided into slow and fast categories.

The paper estimates the absolute number of axons connecting human cortical areas using dMRI data and histological calibration, finding sparse long-range connections.

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

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 presents a full-cortex connectome derived from probabilistic diffusion tractography, organized into the HCP-MMP1.0 atlas, and compares it to resting-state fMRI and evoked potential connectivity matrices.

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 examines the interaction between cortical slow oscillations and hippocampal ripples during sleep using a computational model and human recordings, finding that ripples influence cortical spatiotemporal patterns and synchronize state transitions.

This study identifies and differentiates human hippocampal sharpwave-ripples (HC-SWR) from epileptiform activity during NREM sleep, showing similar characteristics to rodents but with lower frequency.

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 human hippocampal sharpwave-ripples (HC-SWR) are correlated with various cortical sleep waves during NREM sleep, with specific spatial and temporal preferences.

The paper identifies distinct physiological patterns of hippocampal spindle-ripples in humans, showing they differ from sharpwave-ripples in timing, cortical coupling, and frequency.

This paper develops a model to predict which cortical neurons are activated by electrical stimulation, finding selective activation across cell types, layers, and stimulation parameters.

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

The paper identifies theta bursts preceding and spindles following cortical and thalamic downstates in human NREM sleep, suggesting theta bursts may trigger downstates and aid memory consolidation.

The paper develops a thalamocortical network model to explain differences in sleep spindle properties between MEG and EEG recordings and links these to cortical and thalamic connectivity.

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.

The paper identifies replay of waking cortical activity patterns during slow-wave sleep in humans and links them to sleep features like spindles and sharp-wave ripples, supporting memory consolidation theories.