Reward Sensitivity and Noise Contribute to Negative Affective Bias: A Learning Signal Detection Theory Approach in Decision-Making Cover

Reward Sensitivity and Noise Contribute to Negative Affective Bias: A Learning Signal Detection Theory Approach in Decision-Making

Computational Psychiatry

Volume 8 (2024): Issue 1

By: Isabel K. Lütkenherm , Shannon M. Locke and Oliver J. Robinson

Open Access

|May 2024

Authors

Isabel K. Lütkenherm

karen.lutkenherm.21@ucl.ac.uk

Institute of Cognitive Neuroscience, University College London

Shannon M. Locke

shannon.m.locke@nyu.edu

Laboratoire des Systèmes Perceptifs, Département d’Études Cognitives, École Normale Supérieure, PSL University, CNRS, Paris

Oliver J. Robinson

o.robinson@ucl.ac.uk

Institute of Cognitive Neuroscience, University College London; Clinical, Educational and Health Psychology, University College London

DOI: https://doi.org/10.5334/cpsy.102 | Journal eISSN: 2379-6227

Journal RSS Feed

Language: English

Submitted on: Oct 2, 2023

Accepted on: Apr 9, 2024

Published on: May 9, 2024

Published by: Ubiquity Press

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

Negative Affective Bias,

Signal Detection Theory,

Mood Disorders,

Reward Sensitivity,

Reinforcement Learning,

Prospect Theory

© 2024 Isabel K. Lütkenherm, Shannon M. Locke, Oliver J. Robinson, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

Previous article Volume 8 (2024): Issue 1 Next article