logo
ResearchBunny Logo
Action initiation and punishment learning differ from childhood to adolescence while reward learning remains stable

Psychology

Action initiation and punishment learning differ from childhood to adolescence while reward learning remains stable

R. Pauli, I. A. Brazil, et al.

Discover how reward and punishment learning evolve from childhood to adolescence in this fascinating study by Ruth Pauli and colleagues. With a large sample and innovative computational modeling, the research reveals that while punishment learning rates increase with age, reward learning remains stable, offering new insights into adolescent behavior.

00:00
00:00
Playback language: English
Citation Metrics
Citations
0
Influential Citations
0
Reference Count
0

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Related Publications

Explore these studies to deepen your understanding of the subject.

Adverse childhood experiences, child poverty, and adiposity trajectories from childhood to adolescence: evidence from the Millennium Cohort Study
Health and Fitness

Adverse childhood experiences, child poverty, and adiposity trajectories from childhood to adolescence: evidence from the Millennium Cohort Study

K. Deng and R. E. Lacey

The role of lifestyle and non-modifiable risk factors in the development of metabolic disturbances from childhood to adolescence
Health and Fitness

The role of lifestyle and non-modifiable risk factors in the development of metabolic disturbances from childhood to adolescence

C. Börnhorst, P. Russo, et al.

Early childhood adversity and body mass index in childhood and adolescence: linking registry data on adversities with school health records of 53,401 children from Copenhagen
Health and Fitness

Early childhood adversity and body mass index in childhood and adolescence: linking registry data on adversities with school health records of 53,401 children from Copenhagen

L. K. Elsenburg, A. Rieckmann, et al.

From remote sensing and machine learning to the history of the Silk Road: large scale material identification on wall paintings
Humanities

From remote sensing and machine learning to the history of the Silk Road: large scale material identification on wall paintings

S. Kogou, G. Shahtahmassebi, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny