Model-Free and Model-Based Learning in Human Fear Conditioning.
Overview
Abstract
Learning to predict threat and to adapt behavior accordingly is critical to human survival. This type of learning is governed by distinct systems in the brain. Model‐free learning is reflexive and computationally efficient, allowing for rapid responses based on past experience, but is also resistant to environmental change. In contrast, model‐based learning is more flexible and relies on an internal model of the environment that can be updated without direct experience. To enhance the translational value of human fear‐conditioning research and facilitate the interpretation of fear‐reduction interventions, we examined whether commonly used measures of conditioned responding reflect model‐free and/
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Data
Datasets cited
Data Availability Statement
The data that support the findings of this study are openly available in OSF at https://
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Versions
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Version 2, 28 September 2026
- Publisher: n/a → Wiley
Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 4 authors, 12 MeSH terms, 1 funder, 44 references.
Cite
This paper
Stemerding, L. E., Gerlicher, A. M. V., Reinhold, F. L., & Kindt, M. (2026). Model-Free and Model-Based Learning in Human Fear Conditioning. Psychophysiology, 63(7), e70349. https://
BibTeX
@article{stemerding2026m
author = {Stemerding, L E and Gerlicher, A M V and Reinhold, F L and Kindt, M},
title = {{Model-Free and Model-Based Learning in Human Fear Conditioning}},
journal = {Psychophysiology},
year = {2026},
month = jul,
volume = {63},
number = {7},
pages = {e70349},
publisher = {Wiley},
issn = {0048-5772},
doi = {10.1111/
url = {https://
pmid = {42377989},
pmcid = {PMC13317758}
}
RIS
TY - JOUR
AU - Stemerding, L E
AU - Gerlicher, A M V
AU - Reinhold, F L
AU - Kindt, M
TI - Model-Free and Model-Based Learning in Human Fear Conditioning
T2 - Psychophysiology
J2 - Psychophysiology
PY - 2026
DA - 2026/
VL - 63
IS - 7
SP - e70349
SN - 0048-5772
PB - Wiley
DO - 10.1111/
UR - https://
LA - en
ER -
CSL-JSON
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