Amy Louise Cochran

This paper frames approach-avoidance conflict tasks as multi-objective reinforcement learning problems and introduces decision-makers to distinguish between reinforcement learning models.

This paper introduces a TD model of human decision-making with two critics to explain how serotonin and dopamine influence risk and uncertainty processing.

The paper presents a method combining gene weights from mathematical biology models and gene ranks from GWAS to improve gene-set enrichment analysis for bipolar disorder.

The paper introduces a model of latent-state learning that combines Rescorla-Wagner and Bayesian rules to explain various learning phenomena and demonstrates its effectiveness in simulations.