Characterisation of a computationally defined treatment target for anxiety and depression
Preferential learning from negative at the expense of positive events, has been causally linked to anxiety and depression. This suggests that interventions which target such negative learning bias may reduce symptoms of the illness, although the best way to achieve this is not clear. Recent computat...
| 主要な著者: | , |
|---|---|
| フォーマット: | Conference item |
| 出版事項: |
Elsevier
2017
|