Reinforcement learning behaviour in a presence of a competitor

Howard-Jones PA
Bogacz R
Yoo JH
Leonards U
Demetriou S
Description

This dataset describes behaviour of participants in a study of Howard-Jones et al. in which humans performed a standard reinforcement learning task in a presence of a competitor. On each trial a player chose one of 4 options and received a reward. Trials of human participants alternated with trials of a computer competitor.

The dataset consists of Mathworks MATLAB file behaviour.mat. This file includes two matrices choice1_17 and reward1_17 with choices and rewards from individual trials. The entries of the choice1_17 matrix are equal to the index of the chosen option or to 0 if the participant did not make any choice on a given trial. The rows of these matrices correspond to individual blocks. Since each person did two blocks of trials, rows 1 and 2 correspond to participant 1, rows 3 and 4 to participants 2, etc. The columns of the matrices correspond to different trials, where odd columns correspond to trials of a human participant, and even columns correspond to trials of a computer competitor.

Player vs computer competitor trials
Year Published
2019
Publisher
University of Oxford
First Published In
Howard-Jones PA, Bogacz R, Yoo JH, Leonards U, Demetriou S
2010.Neuroimage, 53(2):790-9.
Group
Bogacz Group
Terms

By downloading this dataset, you agree that you will not attempt to identify any individual subjects.

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