Linking Individual Learning Styles to Approach-Avoidance Motivational Traits and Computational Aspects of Reinforcement Learning

Aberg, Carl Kristoffer; Doell, Kimberly; Schwartz, Sophie

doi:10.1371/journal.pone.0166675

Scientific article

English

Linking Individual Learning Styles to Approach-Avoidance Motivational Traits and Computational Aspects of Reinforcement Learning

ContributorsAberg, Carl Kristoffer; Doell, Kimberly; Schwartz, Sophie

Published inPloS one, vol. 11, no. 11, e0166675

Publication date2016

Affiliation entities

Centres et instituts / Centre interfacultaire en sciences affectives
Faculté de médecine / Section de médecine fondamentale / Département de neurosciences fondamentales

Research groups

Funding

Swiss National Science Foundation - Emotional relevance and sleep shape neural plasticity: A multimodal neuroimaging investigation in humans [135653]
Swiss National Science Foundation - Memory reactivation across distinct vigilance states: A multimodal neural decoding approach in humans [159862]
Swiss National Science Foundation - 320030_135653, 320030-159862, and 51NF40- 104897

Citation (ISO format)

ABERG, Carl Kristoffer, DOELL, Kimberly, SCHWARTZ, Sophie. Linking Individual Learning Styles to Approach-Avoidance Motivational Traits and Computational Aspects of Reinforcement Learning. In: PloS one, 2016, vol. 11, n° 11, p. e0166675. doi: 10.1371/journal.pone.0166675

Article (Published version)

CC BY

Identifiers

PID : unige:95514
DOI : 10.1371/journal.pone.0166675

Journal ISSN1932-6203

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Linking Individual Learning Styles to Approach-Avoidance Motivational Traits and Computational Aspects of Reinforcement Learning

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