Itsaso Olasagasti

This study uses MEG to investigate when and where modality-independent semantic representations emerge for images and words during encoding tasks.

The paper introduces geometric measures to analyze temporal changes in neural representations, showing they reveal dynamics not captured by traditional decoding methods.

This paper introduces a model that uses hierarchical predictions to assign semantic roles in speech comprehension, showing how nonlinguistic context helps disambiguate word meanings.

The paper shows that beta rhythm modulates prediction error precision in a speech recognition model, enhancing performance with optimal beta rate and alternating bottom-up/top-down processing.

The paper investigates how audio-visual syllable integration occurs, showing that combination results from temporal processing of discrepant stimuli after STS convergence.

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.

The paper shows that representing speech sound categories at different time scales improves models of rapid recalibration compared to single-time-scale representations.

This study combines predictive coding with neural oscillations to improve on-line speech processing by aligning gamma activity with syllable boundaries and predictions with speech input.