Lucía Melloni

The paper investigates how learned auditory predictability affects depth-resolved functional coupling between hippocampal subfields and cortical regions using 7T fMRI.

The paper examines the temporal dynamics of conscious awareness using subjective and objective measures across multiple datasets, finding long timescales in subjective reports and a shared underlying fluctuation pattern.

This study shows that neural representational geometry in ventral temporal cortex adapts gradually to task demands, supporting behavioral flexibility within sensory cortex.

This study uses laminar fMRI to investigate predictive auditory processing in human cortical layers, showing hierarchical organization of prediction violations and their association with specific cortical layers.

This study shows that subjective time is constructed from hierarchical event representations, with temporal distortions depending on event structure and semantic content.

The paper introduces a dataset of ECoG recordings from nine participants listening to a podcast, along with linguistic features and tutorials for analysis.

The paper investigates predictive coding strategies in cortex by analyzing information transfer and predictability using human and mouse data, finding that predictable information is predominantly encoded.

The paper investigates how 'what' and 'when' predictions interact in speech processing using MEG, finding that their integration is mediated by a shared cortical network rather than separate hierarchies.

The paper investigates neural state patterns during memory search, showing hippocampal-neocortical communication facilitates retrieval of event-related information.

The paper shows that linguistic embedding spaces can capture neural alignment during conversations, revealing shared meaning between speakers and listeners.

A preregistered multimodal neuroimaging study across 256 human participants directly tests Integrated Information Theory against Global Neuronal Workspace Theory, confirming some predictions while revealing major empirical challenges for both.

This study shows that tracking transitional probabilities and segmenting auditory sequences are separate processes in adults and neonates, with prosodic cues aiding segmentation and learning increasing neural similarity across infants.

This study investigates how 'what' and 'when' predictions modulate auditory processing in different contexts, finding context-specific interactions and shared neural mechanisms.

This study decodes mnemonic and predictive representations in the auditory cortex of anesthetized rats using ECoG during stimulus sequences with noise bursts or omissions, showing they arise from overlapping but independent neural populations.

The paper analyzes 412 consciousness studies to show how methodological choices predict theory support, revealing post-hoc interpretation trends in consciousness research.

The paper replicates findings showing adults detect speech structure quickly but finds weak correlation between two SL measures, suggesting online tasks capture more dynamic information.

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

This study investigates sequence encoding in human cortex and hippocampus using intracranial recordings, finding hierarchical processing of temporal regularities from lower-level features to higher-level units.

In nine epilepsy patients, cortical activity carries next-word information up to 800 ms before onset, tracks GPT-2 surprise after onset, and fits GPT-2 contextual embeddings better than static ones.

This study compares perceptual thresholds in schizophrenia patients, synesthetes, and controls to explore differences in how sensory evidence and prior knowledge influence perception.

This study shows that broadband high-frequency activity (BHA) dissociates from multiunit activity (MUA) in primary visual and auditory cortex, with BHA originating from both neuronal firing and dendritic processes.

This study investigates how auditory attention affects rhythmic speech entrainment at word and sentence levels using EEG data from 72 participants.

The paper demonstrates that chronic ambulatory intracranial EEG can measure hippocampal activity during associative memory tasks in patients with epilepsy.

The paper examines how neural responses to time-compressed speech vary across auditory brain regions and relates these responses to speech intelligibility.

The paper shows that saccade-related transients are suppressed in higher-level visual cortex but not early visual cortex in humans.