Data from Reward and Probability (05-2018)

The probability of an event occurring and the reward associated with the event can both modulate behaviour. Response times are decreased to stimuli that are either more rewarding or more likely. These two factors can be combined to give an Expected Value (EV) associated with the event (i.e. probability x reward). In four experiments we investigate the effect of reward and probability on both saccadic and manual responses. When tested separately we find evidence for both a reward and probability effect across response types. When manipulations of reward and probability were combined, the probability modulations dominated and these data were not well accounted for by the EV. However a post-hoc model that included an additional intrinsic reward associated with responding provided an excellent account for the data. We argue that reward consists of both an explicit and intrinsic component. In our task, the saccadic and manual responses are linked to the information provided by the targets and the goals of the task, and successful completion of these is in itself rewarding. As a result higher probability target have a higher intrinsic reward.

Creator(s) Rosanne Clark, Iain Gilchrist
Publication date 03 May 2018
Language eng
Publisher University of Bristol
Licence Non-Commercial Government Licence for public sector information
DOI 10.5523/bris.1iqkndj4qfe1a28uihdt5y5bd5
Complete download (zip)
Citation Rosanne Clark, Iain Gilchrist (2018): Data from Reward and Probability (05-2018).
Total size 47.8 MiB


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