Ricardo Chavarriaga

Prediction, Syntax and Semantic Grounding in the Brain and Large Language Models

The paper investigates how syntactic processing, predictive coding, and semantic grounding interact in real time using MEG-EEG and compares neural responses to a large language model.

EEG error-related potentials encode magnitude of errors and individual perceptual thresholds

This study shows that error-related potentials (ErrPs) encode both the magnitude of errors and individual perceptual thresholds through amplitude and latency, with implications for cerebellar contributions to performance monitoring.

EEG signature of breaks in embodiment in VR

The paper uses EEG to study brain responses during breaks in embodiment in VR, finding error-related potentials linked to non-embodied conditions.

Stopping vs Resting state during motor imagery paradigm

The paper investigates the difference between stopping motor imagery (MI) and resting states, finding that MI termination can be detected faster and more accurately using Beta band features.

Mobile brain/body imaging of landmark-based navigation with high-density EEG

The paper uses mobile EEG to study landmark-based navigation in virtual reality, identifying brain areas and neural modulations involved in spatial learning and behavior.

Beta-driven closed-loop deep brain stimulation can compromise human motor behavior in Parkinson’s Disease

This study shows that closed-loop DBS in Parkinson’s Disease can alter motor performance during specific movement intervals, particularly by increasing submovements and delaying movement termination.

Real-time Detection of Driver’s Movement Intention in Response to Traffic Lights

This paper detects driver's movement intention in response to traffic lights using EEG-based decoding, showing anticipatory slow cortical potentials and single-trial classification performance.

Differential contributions of subthalamic beta rhythms and neural noise to Parkinson motor symptoms

This study shows that removing neural noise improves the link between beta oscillations in the STN and Parkinson's motor symptoms.