TY - JOUR
T1 - Categories, concepts, and conditioning
T2 - How humans generalize fear
AU - Dunsmoor, Joseph E.
AU - Murphy, Gregory L.
N1 - Funding Information:
We thank Brian H. Ross and Abby Fyer for helpful comments on this manuscript. The writing of this article was supported by National Institute of Mental Health Training Award in Systems and Integrative Neuroscience grant T32 MH019524 and by National Science Foundation grant BCS 1128769.
Publisher Copyright:
© 2014 Elsevier Ltd.
PY - 2015/2/1
Y1 - 2015/2/1
N2 - During the past century, Pavlovian conditioning has served as the predominant experimental paradigm and theoretical framework to understand how humans learn to fear and avoid real or perceived dangers. Animal models for translational research offer insight into basic behavioral and neurophysiological factors mediating the acquisition, expression, inhibition, and generalization of fear. However, it is important to consider the limits of traditional animal models when applied to humans. Here, we focus on the question of how humans generalize fear. We propose that to understand fear generalization in humans requires taking into account research on higher-level cognition such as category-based induction, inferential reasoning, and representation of conceptual knowledge. Doing so will open the door for productive avenues of new research.
AB - During the past century, Pavlovian conditioning has served as the predominant experimental paradigm and theoretical framework to understand how humans learn to fear and avoid real or perceived dangers. Animal models for translational research offer insight into basic behavioral and neurophysiological factors mediating the acquisition, expression, inhibition, and generalization of fear. However, it is important to consider the limits of traditional animal models when applied to humans. Here, we focus on the question of how humans generalize fear. We propose that to understand fear generalization in humans requires taking into account research on higher-level cognition such as category-based induction, inferential reasoning, and representation of conceptual knowledge. Doing so will open the door for productive avenues of new research.
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U2 - 10.1016/j.tics.2014.12.003
DO - 10.1016/j.tics.2014.12.003
M3 - Review article
C2 - 25577706
AN - SCOPUS:84921891933
SN - 1364-6613
VL - 19
SP - 73
EP - 77
JO - Trends in Cognitive Sciences
JF - Trends in Cognitive Sciences
IS - 2
ER -