Listen and learn
Accessible video and audio overviews of our research, created with Google NotebookLM.
About the series
Generated with Google NotebookLM, these short overviews offer accessible, plain-language discussions of the lab's work in brain-network dynamics, cognition, neuroimaging, epilepsy, and computational neuroscience.
Overviews
Episode 01 · Audio overview · 20 min
Physicist Mukesh Dhamala and his colleagues developed Fourier- and wavelet-transform-based nonparametric methods for estimating Granger causality from time-series data. These methods can reveal directional causal influences between dynamic processes without requiring the data to be fitted to a pre-specified parametric model.
Episode 02 · Video overview · 7 min
A short visual overview of how physics-based and brain-network approaches explain the neural dynamics behind perception and decision-making.
Episode 03 · Audio overview · 21 min
Computational and connectivity approaches for localizing seizure-generating regions in drug-resistant focal epilepsy, and their clinically relevant, translational potential.
These video and audio overviews are generated from our research materials using Google NotebookLM. They are intended for education and public communication and are not a substitute for the original peer-reviewed publications.
