Justin M. Fine

The paper examines brain activity during a continuous prey-pursuit task, identifying distinct roles for hippocampus, ACC, and OFC in decision-making processes.

The paper investigates how hippocampal neurons track multiple agents during pursuit tasks, finding multiplexed neural maps and semi-orthogonal subspaces for distinguishing agents.

The paper investigates how reward rate influences attentional effort in economic decision-making using neural data from macaques.

The paper examines neural coding for value in six brain regions and finds no explicit value neurons, but shows value is encoded implicitly through orthogonal yet linked population subspaces.

The paper investigates how the brain binds features of options during decision-making using aligned and orthogonal subspaces in neural activity.

This paper introduces a localist neural network model that autonomously learns environment structures and achieves arbitrary goals without re-learning reward values, demonstrating its ability to solve complex problems like the Tower of Hanoi.