Laura Gwilliams

Noise Optimization of Basic Signal Component Extraction for Cryogenic and On-Scalp Magnetoencephalography (MEG)

This paper introduces a novel preprocessing method for MEG data using Fosters inverse with signal space separation to improve noise reduction and source localization.

Distinct yet neighboring neural populations encode past, future, and surrounding speech context in the human temporal lobe

The paper shows that distinct neural populations in the human temporal lobe encode speech context from past, future, and surrounding input, with implications for speech comprehension models.

The spatio-temporal dynamics of phoneme encoding in aging and aphasia

This study examines neural dynamics of phoneme encoding in aging and aphasia, finding reduced encoding in aphasia and longer encoding in healthy older adults under uncertainty.

Hierarchical dynamic coding coordinates speech comprehension in the brain

This study proposes and tests the Hierarchical Dynamic Coding (HDC) hypothesis, showing how the brain maintains and updates a language hierarchy during speech comprehension.

Neural Phoneme Processing in Children with and without Dyslexia

This study examines neural dynamics of phoneme processing in children with and without dyslexia using EEG, revealing altered encoding strategies and processing inefficiencies in dyslexia.

Dynamics of auditory word form encoding in human speech cortex

This study investigates how the brain encodes auditory word forms in speech processing, finding distinct neural resets at word boundaries and temporal scaffolding for variable word lengths.

Dynamics of pitch perception in the auditory cortex

This study investigates how pitch is neurally encoded and integrated in the auditory cortex using MEG, showing that pitch is represented across different cue types and that context modulates its temporal dynamics.

Speech prosody enhances the neural processing of syntax

The paper investigates how prosody interacts with syntactic processing in the brain using MEG data, finding that prosodic boundaries enhance the cortical encoding of syntactic phrase boundaries.

Tracking the behavioral and neural dynamics of semantic representations through negation

The paper investigates how negation affects neural representations of adjectives using behavioral and MEG data, finding that negation suppresses rather than inverts meaning.

Top-down information shapes lexical processing when listening to continuous speech

The paper investigates how the brain resolves lexical ambiguity in speech using context, showing top-down processing dominates over bottom-up cues in early neural responses.

High density single-unit human cortical recordings using the Neuropixels probe

This paper presents a method for high-density single-unit recording in human cortex using Neuropixels probes, achieving 596 single units across 11 recordings in 8 participants.

Spontaneous neural oscillations influence behavior and sensory representations by suppressing neuronal excitability

The paper investigates how spontaneous neural oscillations affect behavior and sensory processing by modulating neuronal excitability during an auditory task.

Neural dynamics of phoneme sequences: Position-invariant code for content and order

The human brain represents speech phoneme sequences through dynamic coding that tracks content and elapsed processing time, revealing how it combines phonemes to access the mental lexicon.

Neural adaptation to accented speech: prefrontal cortex aids attunement in auditory cortices

This study investigates how the brain adapts to accented speech, finding that prefrontal cortex modulates auditory cortex activity to aid comprehension.

Recurrent Processes Emulate a Cascade of Hierarchical Decisions: Evidence from Spatio-Temporal Decoding of Human Brain Activity

The paper shows that recurrent neural processes generate a cascade of hierarchical decisions in the human brain during visual perception and motor response.

In spoken word recognition the future predicts the past

The paper investigates how future speech input influences the perception of earlier speech sounds by maintaining sensory features until they can be integrated with top-down information.

Performance-optimized hierarchical models only partially predict neural responses during perceptual decision making

The paper compares performance-optimized models with neural responses during perceptual decision making, finding partial alignment with some CNNs but discrepancies in others.