B. Suresh Krishna

This paper shows that vision-language models can generate human-like meaning maps of scenes using a single prompt without training, matching human and DeepMeaning results in predicting fixations and model performance.

The paper investigates variability in local field potentials (LFP) and proposes a new metric, CV(log(power ratio)), to quantify power variability, showing its reduction with stimulation and potential inverse relation to power changes.

This study examines the relationship between age, heart rate variability (HRV), and BOLD fMRI signal variability, finding that HRV positively correlates with BOLD variability while age-related decreases in BOLD are partially explained by cardiovascular factors.