logo
ResearchBunny Logo
Neural and computational underpinnings of biased confidence in human reinforcement learning

Psychology

Neural and computational underpinnings of biased confidence in human reinforcement learning

C. Ting, N. Salem-garcia, et al.

Explore the fascinating neural mechanisms behind biased confidence in human reinforcement learning! Delve into the groundbreaking research by Chih-Chung Ting, Nahuel Salem-Garcia, Stefano Palminteri, Jan B. Engelmann, and Maël Lebreton, which reveals how the VMPFC network encodes global confidence signals amidst contextual biases using fMRI technology.

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.

Deep learning-based virtual staining, segmentation, and classification in label-free photoacoustic histology of human specimens
Medicine and Health

Deep learning-based virtual staining, segmentation, and classification in label-free photoacoustic histology of human specimens

C. Yoon, E. Park, et al.

The computational role of structure in neural activity and connectivity
Psychology

The computational role of structure in neural activity and connectivity

S. Ostojic and S. Fusi

Comparing feedforward and recurrent neural network architectures with human behavior in artificial grammar learning
Computer Science

Comparing feedforward and recurrent neural network architectures with human behavior in artificial grammar learning

A. Alamia, V. Gauducheau, et al.

Reshaping energy policy based on social and human dimensions: an analysis of human-building interactions among societies in transition in GCC countries
Environmental Studies and Forestry

Reshaping energy policy based on social and human dimensions: an analysis of human-building interactions among societies in transition in GCC countries

A. Ghofrani, E. Zaidan, 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