I am a 4th-year Ph.D. from the Behavioral Science Institute (BSI) at the Radboud University, interested in computational models of learning and decision-making, behavioral training, and Bayesian statistics. In my current Ph.D. project, I amplified the effect of Go/NoGo training on food choice by incorporating reinforcement learning principles. Specifically, such training effect was maximized when reinforcing Go actions (toward some foods) with rewards and NoGo actions (toward other foods) with the avoidance of punishments.
Interests
Interests
- Reinforcement Learning
- Bayesian Statistics
- Food Choice
- Behavioral Training (e.g., Go/NoGo training)
Publications
Healthy Brain Study
PloS one, vol. 16, Public Library of Science San Francisco, CA USA, 2021, pp. e0260952
How can food choice best be trained? Approach-avoidance versus go/no-go training
Harm Veling, Iris AM Verpaalen, Huaiyu Liu, Farnaz Mosannenzadeh, Daniela Becker, Rob W Holland
Appetite, vol. 163, Elsevier, 2021, p. 105226
Updating the p-curve analysis of Carbine and Larson with results from preregistered experiments
Harm Veling, Zhang Chen, Huaiyu Liu, Julian Quandt, Rob W Holland
Health Psychology Review, vol. 14, Routledge, 2020, pp. 215--219