Agnès Trébuchon

Cortical encoding of probabilistic temporal predictions during speech perception

The paper shows that speech perception involves dynamic, context-dependent temporal predictions encoded in the brain, with RNN models outperforming simpler models in capturing this structure.

Surprise gates two distinct mechanisms to support memorability in music

The paper investigates how musical memorability relates to neural responses to surprise and expectation, finding a U-shaped relationship between surprise and memory performance.

States of dynamic connectivity flow in temporal multiplex networks: a case study in human epilepsy and postictal aphasia

The paper introduces a framework to analyze dynamic functional connectivity in epilepsy patients, identifying distinct network flow styles linked to seizure onset and postictal aphasia.

Speech is defined by theta-gamma coupled acoustic rhythms, mapped onto segregated populations in human early auditory cortex

The paper shows that theta-gamma rhythms in human auditory cortex reflect speech acoustics, with distinct neural populations processing different speech timescales.

Bridging verbal coordination and neural dynamics

The paper develops a real-time coupled-oscillators virtual partner to study verbal coordination and its neural dynamics using intracranial recordings from epilepsy patients.

PolyRNN: A time-resolved model of polyphonic musical expectations aligned with human brain responses

The paper introduces PolyRNN, a model of musical expectations in polyphonic music, and shows it aligns with human brain responses recorded via MEG and intracranial EEG.

Revealing the co-existence of written and spoken language coding neural populations in the left-ventral occipitotemporal cortex

The paper investigates neural representations in the left-vOT cortex, showing subpopulations of neurons encode both written and spoken language inputs.

Speech and music recruit frequency-specific distributed and overlapping cortical networks

The paper investigates how speech and music processing share and differ in neural networks using intracranial EEG recordings and statistical analysis.

GluK2 is a target for gene therapy in drug-resistant Temporal Lobe Epilepsy

This study demonstrates that gene therapy targeting GluK2 reduces seizures in TLE models and patient-derived slices.

Dimensionality and ramping: Signatures of sentence integration in the dynamics of brains and deep language models

The paper investigates how neural representations of sentences evolve, finding that meaningful sentences have higher dimensionality and specific dynamic patterns in both human brains and deep language models.

Independent component analysis reveals an early hippocampal recognition system using intracerebral evoked potentials in humans

This study uses independent component analysis on intracerebral EEG recordings to identify two distinct hippocampal sources involved in memory recognition, revealing faster neural responses than previously observed.

Intracerebral mechanisms explaining the impact of incidental feedback on mood state and risky choice

The paper investigates how mood fluctuations, influenced by incidental feedback, affect choice behavior through neural activity in the vmPFC and daIns.

Magnetoencephalography can reveal deep brain network activities linked to memory processes

This study uses MEG and blind source separation to identify mesial brain activity linked to memory tasks, validated with intracerebral EEG.

Frequency selectivity of persistent cortical oscillatory responses to auditory rhythmic stimulation

The paper investigates persistent cortical oscillatory responses to auditory rhythmic stimulation and finds that high-gamma activity persists after stimulation, while low-frequency dynamics do not.

Orientation of Temporal Interference for Non-Invasive Deep Brain Stimulation in Epilepsy

This paper demonstrates orientation-tunable temporally-interfering electric fields using surface electrodes to evoke seizure-like events in the mouse hippocampus without implanted electrodes.

Converging intracortical signatures of two separated processing timescales in human early auditory cortex.

The paper investigates dual timescale processing in human auditory cortex using EEG, modeling, and decoding, finding bimodal spectral and informational patterns consistent with a dual subnetwork model.

Asymmetric sampling in human auditory cortex reveals spectral processing hierarchy

The paper analyzes intracranial data from 96 epilepsy patients to reveal a two-timescale processing mode in human auditory cortex, with hemispheric differences emerging beyond primary regions.