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  Dissociating neural learning signals in human sign- and goal-trackers

Schad, D., Rapp, M., Garbusow, M., Nebe, S., Sebold, M., Obst, E., et al. (2020). Dissociating neural learning signals in human sign- and goal-trackers. Nature Human Behaviour, 4(2), 201-214. doi:10.1038/s41562-019-0765-5.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0005-1C69-7 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-AF23-F
Genre: Journal Article

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 Creators:
Schad, DJ, Author
Rapp, MA, Author
Garbusow, M, Author
Nebe, S, Author
Sebold, M, Author
Obst, E, Author
Sommer, C, Author
Deserno, L, Author
Rabovsky, M, Author
Friedel, E, Author
Romanczuk-Seiferth , N, Author
Wittchen, H-U, Author
Zimmermann, US, Author
Walter, H, Author
Sterzer, P, Author
Smolka, MN, Author
Schlagenhauf, F, Author
Heinz, A, Author
Dayan, P1, 2, Author              
Huys, QJM, Author
Affiliations:
1Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3017468              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Individuals differ in how they learn from experience. In Pavlovian conditioning models, where cues predict reinforcer delivery at a different goal location, some animals-called sign-trackers-come to approach the cue, whereas others, called goal-trackers, approach the goal. In sign-trackers, model-free phasic dopaminergic reward-prediction errors underlie learning, which renders stimuli 'wanted'. Goal-trackers do not rely on dopamine for learning and are thought to use model-based learning. We demonstrate this double dissociation in 129 male humans using eye-tracking, pupillometry and functional magnetic resonance imaging informed by computational models of sign- and goal-tracking. We show that sign-trackers exhibit a neural reward prediction error signal that is not detectable in goal-trackers. Model-free value only guides gaze and pupil dilation in sign-trackers. Goal-trackers instead exhibit a stronger model-based neural state prediction error signal. This model-based construct determines gaze and pupil dilation more in goal-trackers.

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 Dates: 2019-112020-02
 Publication Status: Published in print
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 Rev. Method: -
 Identifiers: DOI: 10.1038/s41562-019-0765-5
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Title: Nature Human Behaviour
Source Genre: Journal
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Publ. Info: London : Nature Research
Pages: - Volume / Issue: 4 (2) Sequence Number: - Start / End Page: 201 - 214 Identifier: ISSN: 2397-3374
CoNE: https://pure.mpg.de/cone/journals/resource/2397-3374