TY - JOUR
T1 - Brain mechanisms of concept learning
AU - Zeithamova, Dagmar
AU - Mack, Michael L.
AU - Braunlich, Kurt
AU - Davis, Tyler
AU - Seger, Carol A.
AU - Kesteren, Marlieke T.R.Van
AU - Wutz, Andreas
N1 - Funding Information:
This work was supported in part by NSERC Discovery Grant RGPIN-2017-06753 (M.L.M.), Lewis Family Endowment that supports the Lewis Center for Neuroimaging at the University of Oregon (D.Z.), Chang Jiang Scholars program of the Ministry of Education, China (C.A.S.), Marie Curie Individual Fellowship of the EU Horizon 2020 Framework Program for Research and Innovation 704506 (M.T.R.v.K.), National Institutes of Health R01MH065252 and R37MH087027 (A.W.), MIT Picower Institute Innovation Fund (A.W.), and Austrian Science Fund M02496 (A.W.). The authors declare no competing financial interests. *D.Z. and M.L.M. contributed equally to this work; the remaining authors are listed in an alphabetical order.
Publisher Copyright:
© 2019 Society for Neuroscience. All rights reserved.
PY - 2019/10/16
Y1 - 2019/10/16
N2 - Concept learning, the ability to extract commonalities and highlight distinctions across a set of related experiences to build organized knowledge, is a critical aspect of cognition. Previous reviews have focused on concept learning research as a means for dissociating multiple brain systems. The current review surveys recent work that uses novel analytical approaches, including the combination of computational modeling with neural measures, focused on testing theories of specific computations and representations that contribute to concept learning. We discuss in detail the roles of the hippocampus, ventromedial prefrontal, lateral prefrontal, and lateral parietal cortices, and how their engagement is modulated by the coherence of experiences and the current learning goals. We conclude that the interaction of multiple brain systems relatingto learning, memory, attention, perception, and reward support aflexible concept-learning mechanism that adapts to a range of category structures and incorporates motivational states, making concept learning a fruitful research domain for understanding the neural dynamics underlying complex behaviors.
AB - Concept learning, the ability to extract commonalities and highlight distinctions across a set of related experiences to build organized knowledge, is a critical aspect of cognition. Previous reviews have focused on concept learning research as a means for dissociating multiple brain systems. The current review surveys recent work that uses novel analytical approaches, including the combination of computational modeling with neural measures, focused on testing theories of specific computations and representations that contribute to concept learning. We discuss in detail the roles of the hippocampus, ventromedial prefrontal, lateral prefrontal, and lateral parietal cortices, and how their engagement is modulated by the coherence of experiences and the current learning goals. We conclude that the interaction of multiple brain systems relatingto learning, memory, attention, perception, and reward support aflexible concept-learning mechanism that adapts to a range of category structures and incorporates motivational states, making concept learning a fruitful research domain for understanding the neural dynamics underlying complex behaviors.
KW - Categorization
KW - Computational Modeling
KW - Fmri
KW - Hippocampus
KW - Parietal Cortex
KW - Prefrontal Cortex
UR - http://www.scopus.com/inward/record.url?scp=85073420201&partnerID=8YFLogxK
U2 - 10.1523/JNEUROSCI.1166-19.2019
DO - 10.1523/JNEUROSCI.1166-19.2019
M3 - Article
C2 - 31619495
AN - SCOPUS:85073420201
VL - 39
SP - 8259
EP - 8266
JO - Journal of Neuroscience
JF - Journal of Neuroscience
SN - 0270-6474
IS - 42
ER -