Predicting decision patterns from EEG signals in an instrumental reward-based learning task.
Description
We adopted a task originally designed to study the firing rates of dopamine cells in primate substantia nigra pars compacta as an instrumental reward-based learning task with humans. A total of 13 healthy subjects participated, all young adults (6 females and 7 males) aged 19–21 with normal or corrected-to-normal vision. Subjects were presented with a series of trials in which they chose abstract visual images with a possibility of accruing a small reward on each trial.
Team Members
- Lingling Yang — linglyang2@student.cityu.edu.hk
- Howard Leung — howard@cityu.edu.hk
- David A. Peterson — dp@ucsd.edu
- Howard Poizner — hpoizner@ucsd.edu