Aahana Bajracharya

This study uses HD-DOT to encode and decode semantic representations from naturalistic movies, showing it can capture high-dimensional semantic maps similar to fMRI.

The paper presents a high-density diffuse optical tomography dataset from participants viewing a movie, suitable for studying cognitive phenomena.

This study evaluates frame censoring for motion correction in task-based fMRI across multiple datasets, finding modest improvements but no single method consistently outperforms others.

This study finds that listeners with cochlear implants show greater left prefrontal cortex activity during speech understanding compared to normal hearing listeners.

The paper shows that different analysis workflows by 70 teams on the same fMRI dataset led to varied results, but meta-analysis found consensus in activated regions.