Kenneth T. Kishida

Effort and substance use: differentiating tobacco use through reinforcement learning of effort based decision making

BACKGROUND: Effort-based decision making evaluates rewards relative to the effort required to obtain it, an important process of healthy goal-directed motivation and behavior. Computational models provide mechanistic insights underlying choice behavior and potential alterations i...

Expected reward value and reward prediction errors reinforce but also interfere with human time perception

Abstract Time perception is often investigated in animal models and in humans using instrumental paradigms where reinforcement learning (RL) and associated dopaminergic processes have modulatory effects. For example, interval timing, which includes the judgment of relatively shor...