Mai-Anh T. Vu

The paper shows how striatal signals for motivated behavior are organized through inherited input and local transformations in mice.

The paper identifies an anatomical hotspot in the anterior dorsolateral striatum where dopamine and acetylcholine interactions are spatially organized and influence behaviorally relevant dynamics during reward and movement.

This study investigates how acetylcholine dynamics in the striatum change during learning and extinction of Pavlovian associations, identifying region-specific patterns and their role in behavioral flexibility.

The paper shows that striatal dopamine and acetylcholine encode trajectory errors during navigation, with distinct spatial and temporal patterns, and links these signals to learning and behavior.

This paper introduces a micro-fiber array system for measuring and manipulating neural dynamics in large brain volumes during behavior, revealing spatiotemporal patterns of dopamine release and enabling precise optogenetic control.

The paper identifies an anticipatory hippocampal convergence state linked to memory formation and midbrain activation during trivia tasks.

The paper identifies a brain network encoding reward anticipation through multi-region electrical recordings and machine learning analysis in mice.

The paper identifies a spatiotemporal dynamic network in the brain associated with depression vulnerability using machine learning and LFP data from stressed mice.