| Title |
Differential, but not opponent, effects of l-DOPA and citalopram on action learning with reward and punishment
|
|---|---|
| Published in |
Psychopharmacology, November 2013
|
| DOI | 10.1007/s00213-013-3313-4 |
| Pubmed ID | |
| Authors |
Marc Guitart-Masip, Marcos Economides, Quentin J. M. Huys, Michael J. Frank, Rumana Chowdhury, Emrah Duzel, Peter Dayan, Raymond J. Dolan |
| Abstract |
Decision-making involves two fundamental axes of control namely valence, spanning reward and punishment, and action, spanning invigoration and inhibition. We recently exploited a go/no-go task whose contingencies explicitly decouple valence and action to show that these axes are inextricably coupled during learning. This results in a disadvantage in learning to go to avoid punishment and in learning to no-go to obtain a reward. The neuromodulators dopamine and serotonin are likely to play a role in these asymmetries: Dopamine signals anticipation of future rewards and is also involved in an invigoration of motor responses leading to reward, but it also arbitrates between different forms of control. Conversely, serotonin is implicated in motor inhibition and punishment processing. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 1% |
| United States | 2 | <1% |
| France | 1 | <1% |
| United Kingdom | 1 | <1% |
| Sweden | 1 | <1% |
| Unknown | 202 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 52 | 25% |
| Researcher | 41 | 20% |
| Student > Master | 34 | 16% |
| Student > Doctoral Student | 12 | 6% |
| Student > Bachelor | 10 | 5% |
| Other | 21 | 10% |
| Unknown | 40 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 59 | 28% |
| Neuroscience | 37 | 18% |
| Medicine and Dentistry | 21 | 10% |
| Agricultural and Biological Sciences | 12 | 6% |
| Computer Science | 6 | 3% |
| Other | 16 | 8% |
| Unknown | 59 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 November 2013.
All research outputs
#15,285,728
of 22,731,677 outputs
Outputs from Psychopharmacology
#4,238
of 5,338 outputs
Outputs of similar age
#129,803
of 211,390 outputs
Outputs of similar age from Psychopharmacology
#35
of 50 outputs
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