Virginie van Wassenhove

Aging effects on retrospective and naturalistic encoding of time and their relationship with memory.

This study examines how aging affects time perception and memory by analyzing EEG data from younger and older adults during retrospective and prospective duration estimation tasks.

Uncovering the representational geometry of durations

The paper investigates the geometry of duration perception using behavioral and EEG data, revealing multidimensional representations and dynamic neural encoding.

Nested Contextual change and the temporal compression of episodic memory

This study investigates how nested event structures affect memory for temporal and spatial information in a virtual reality setting, finding stronger temporal compression in events with fewer items.

Spontaneous oscillatory activity in episodic timing: an EEG replication study and its limitations

This study replicates and extends previous MEG findings on alpha oscillations predicting retrospective duration estimation using EEG, but finds limitations due to experimental context and time-on-task effects.

Alpha power indexes working memory load for durations

The paper investigates how working memory stores durations, finding that the number of durations, not their total length, affects recall precision and is reflected in alpha and beta oscillations.

Separating sensory from timing processes: a cognitive encoding and neural decoding approach

This study investigates how sensory processing and timing mechanisms interact using cognitive modeling and neural decoding in an oddball paradigm with EEG.

Encoding of task regularities links grid-like signals to human timing behavior

This study links grid-like signals in the entorhinal cortex to human timing behavior by showing they reflect task accuracy and regression-to-the-mean biases in time estimation.

Characterizing endogenous delta oscillations in human MEG

This study shows endogenous delta oscillations can be observed in human MEG during rest using advanced signal processing techniques.

Rapid encoding of task regularities in the human hippocampus guides sensorimotor timing

This study shows the hippocampus encodes task-related temporal regularities to guide sensorimotor timing through real-time updates of behavioral feedback and performance improvements.

Implicit versus explicit timing - separate or shared mechanisms?

The paper compares implicit and explicit timing mechanisms using MEG, finding that implicit timing improves behavioral and neural responses, while explicit timing does not benefit from temporal predictions.

Episodic timing: how spontaneous alpha clocks, retrospectively

The paper shows that alpha brain rhythm bursts during quiet wakefulness predict retrospective duration estimates of time when not attended to.

Postdiction: when temporal regularity drives space perception through pre-stimulus alpha oscillations

The paper investigates how pre-stimulus alpha oscillations influence illusory perception during postdiction, finding that power reflects prior expectations and phase predicts perceptual outcomes.

Multisensory correlation computations in the human brain uncovered by a time-resolved encoding model

This study uses a dynamic encoding model to uncover neural mechanisms of multisensory correlation computation in the human brain, showing strong fits in temporo-parietal cortices during causal inference tasks.

Precision timing with alpha-beta oscillatory coupling: stopwatch or motor control?

The paper investigates whether phase-amplitude coupling between alpha and beta oscillations indexes internal timekeeping precision or motor control precision during temporal interval reproduction.

Emergence of β and γ networks following multisensory training

The paper shows that multisensory training leads to increased beta and gamma network synchronization in prefrontal, parietal, and visual cortices, improving perceptual task efficiency.

Evaluation of self-generated behavior: untangling metacognitive read-out and error-detection.

The paper investigates brain mechanisms for evaluating self-generated timing behavior, supporting the read-out hypothesis over error-detection.

Oscillatory multiplexing indexes precision

The paper investigates how phase-amplitude coupling in the alpha-beta band affects the precision of self-generated timing tasks.

Temporal metacognition as the decoding of self-generated brain dynamics

This study investigates how beta oscillations in the brain relate to self-generated timing and metacognitive accuracy, finding that distinct beta state-space trajectories correlate with better metacognitive performance.

Self-similarity and multifractality in human brain activity: a wavelet-based analysis of scale-free brain dynamics

This paper uses wavelet analysis to study scale-free dynamics in human brain activity, finding self-similarity and multifractality in resting and task states with task-related changes.

Non-linear Auto-Regressive Models for Cross-Frequency Coupling in Neural Time Series

This paper introduces non-linear auto-regressive models to detect and quantify cross-frequency coupling in neural time series, showing improved performance over traditional methods.

The psychological arrow of time and the human brain dynamics of event ordering

This study investigates differences in brain activity when mentally ordering events in time versus space, finding distinct neural patterns for temporal and spatial processing.

A Bayesian Perspective on Accumulation in the Magnitude System

This study investigates whether a Bayesian magnitude estimation system uses a common prior across different dimensions, finding that duration estimation is resilient to changes in other dimensions while numerosity and surface are affected by evidence accumulation rate.

Decoding the categorization of visual motion with magnetoencephalography

This study decodes brain activity during visual motion coherence discrimination using MEG, finding that perceptual thresholds align with decoder boundaries and identifying the earliest categorization in hMT+.