Sydney S. Cash

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

This study investigates how sleep spindles interact with epileptic activity in thalamocortical circuits, finding bidirectional relationships and suggesting spindles stabilize network stability.

The paper determines optimal electrode spacing for maximizing single unit yield in neural recordings across species and brain regions.

The paper investigates phase precession of spindle-slow oscillation coupling across the human brain, finding it declines with age and is robust across individuals.

Patch2MAP integrates patch-clamp electrophysiology with super-resolution imaging to analyze subcellular protein expression in human neurons without genetic modification.

This paper decodes intended speech from a person with anarthria and locked-in syndrome using an intracortical brain-computer interface, showing that phonemes, words, and higher-order language units can be decoded above chance.

This paper introduces NoMAD, a method that stabilizes brain-computer interfaces by aligning latent dynamics, achieving stable decoding without supervised recalibration over long periods.

This study uses deep learning models to analyze neural activity during conversation, showing distributed and context-dependent patterns for speech production and comprehension.

This study shows that the human hippocampus can process oddball tones and language stimuli, including semantic and grammatical features, even under general anesthesia.

DREDge improves motion correction in high-density extracellular recordings across species, enhancing reliability and reducing errors in electrophysiological data.

This study decodes lexical semantic information from natural speech using intracranial EEG in participants during spontaneous conversation, achieving 21% accuracy.

The paper introduces a diffusion-approximation framework to model and interpret neuronal spiking dynamics using nonlinear Hawkes processes, showing its accuracy and applicability to human and nonhuman primate data.

The paper introduces EEG-VLM, a method to map neuroanatomical lesions to multidimensional EEG data, finding frontal subcortical white matter lesions correlate with reduced parietal EEG responses.

The paper examines how a history of depressive symptoms in individuals with epilepsy affects fronto-temporo-limbic connectivity during cognitive conflict encoding using sEEG and DCM.

The paper maps human motor cortex using microelectrode recordings, finding whole-body representations and challenging the traditional motor homunculus model.

This study investigates how theta-burst stimulation affects neural activity in human brain networks using intracranial EEG during direct electrical stimulation.

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.

This study uses intracranial EEG and machine learning to show dynamic, activity-silent mechanisms maintain auditory working memory in humans.

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.

This paper introduces DREDge, an algorithm for robust online drift estimation in electrophysiology data, improving scalability and temporal resolution for human and mouse recordings.

The paper shows propofol causes alpha rhythms to shift from posterior to anterior in two distinct thalamocortical networks, disrupting sensory and cognitive function during loss of consciousness.

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.

This study examines ketamine-induced brain dynamics in humans using intracranial recordings, identifying oscillatory changes linked to antidepressant and dissociative effects.

This paper describes a new high-density Neuropixels probe enabling single-cell resolution recordings from over 200 cortical neurons in humans during surgery, identifying eight distinct single unit classes.

The paper examines how stimulation location relative to grey and white matter affects single pulse electrical stimulation responses in the human brain, finding location and parameter-specific effects.

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