Coline Chevallier

The paper shows mice adjust their learning rate based on environmental volatility and stochasticity in a probabilistic reversal task, using a meta-learning rule that captures these dependencies.

This study shows that noradrenergic signaling in the orbitofrontal cortex adjusts learning rates based on environmental volatility, improving adaptive decision-making in rats.

The paper analyzes how different connectivity structures affect control mechanisms in a neural mass model, showing that inhibitory control only emerges in specific connectivity configurations.