Christine M. Constantinople

This study identifies a corticostriatal circuit in rats that updates beliefs about hidden task states through specific neural encoding and perturbations.

The paper shows that the phase relationship between dopamine and acetylcholine signals in the striatum determines whether dopamine influences movement or learning in rats.

This study shows that rat orbitofrontal cortex updates beliefs about hidden reward states during a temporal wagering task, with neural signatures of state inference identified through electrophysiology and population analysis.

This study shows dopamine in the nucleus accumbens encodes reward prediction errors independently of learning rates, suggesting dopamine-independent mechanisms for dynamic learning rates.

This paper improves RNN performance on complex tasks by using compositional pretraining, matching rat behavior in a temporal wagering task.

This study shows that endogenous 17β-estradiol enhances reward prediction errors in the nucleus accumbens by reducing dopamine reuptake, thereby influencing reinforcement learning.

This study shows rats use distinct value computations for sequential decisions within trials, revealing how different value estimates interact dynamically during rapid decision-making.

This study examines how parietal cortex neurons transform acoustic information into decision variables during auditory tasks, showing task-dependent changes in neural decoding and clustering.

The paper identifies subpopulations of lOFC neurons that encode reward history and choice during decision-making in rats.

This study shows that lateral orbitofrontal cortex (lOFC) promotes learning of risky biases but not spatial biases in rats during decision-making tasks.

This study applies Prospect Theory to rats, showing they exhibit probability distortion and diminishing sensitivity similar to humans, suggesting shared neural mechanisms.