Rahul Venugopal

An Open-Source End-to-End Pipeline for Large-Scale EEG-Based Brain Age Modelling

This paper presents an open-source pipeline for EEG-based brain age modeling using the TUEG dataset, evaluating multiple regression models and incorporating SHAP for interpretability.

EEG Phase Slips Reveal Detailed Brain Activity Patterns of Novice Vipassana Meditators During Decision Making Tasks

The paper uses EEG phase slip rates and related biomarkers to identify differences in brain activity between novice Vipassana meditators and non-meditators during decision-making tasks.

Similar States, Different Paths: Neurodynamics of diverse meditation techniques

The paper analyzes EEG data from meditators and controls to identify neurodynamic features distinguishing meditation techniques from non-meditative states, finding shared yet distinct signatures across traditions.

Non-duality in brain and experience of advanced meditators - Key role for Intrinsic Neural Timescales

This study examines non-duality in advanced meditators using EEG-based intrinsic neural timescales and psychological scales, finding that advanced meditators show reduced distinction between internal and external attention.

Time-to-onset and temporal dynamics of EEG during breath-watching meditation

This study examines the time-to-onset and temporal dynamics of EEG changes during breath-watching meditation across three groups, finding significant differences in power changes between groups.

The Balanced Mind and its Intrinsic Neural Timescales in Advanced Meditators

This study investigates the neural correlates of equanimity in advanced meditators using EEG data and finds shorter intrinsic neural timescales correlate with higher equanimity.

Simple Neurofeedback via Machine Learning: Challenges in real time multivariate assessment of meditation state

This paper develops a lightweight autoencoder model for real-time meditation state assessment using EEG data, showing that multivariate EEG features have substantial overlap and temporal dynamics not captured by simple one-class algorithms.