Akash Umakantha

This study uses a brain-computer interface to show animals can regulate prefrontal cortex activity through real-time neurofeedback, reducing neural fluctuations and linking this to arousal regulation.

This study shows that prefrontal hemispheres use a redundant, weakly coupled strategy to adapt working memory performance based on task demands.

The paper uses dual hemisphere recordings and a novel statistical method to show shared neuronal variability across prefrontal cortex populations linked to arousal.

The paper establishes mathematical and empirical links between pairwise neuronal correlations and dimensionality reduction metrics, showing that attention-related changes in mean pairwise correlation arise from distinct population-wide covariability shifts.