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Updated: May 30, 2025

Studying Food Reward and Motivation in Humans
Published on: March 19, 2014
The ins and outs of unpacking the black box: Understanding motivation using a multi-level approach
F Wurm1,2, I J M van der Ham1,2, J Schomaker1,2
1Health, Medical & Neuropsychology, Leiden University, Leiden, The Netherlands f.r.wurm@fsw.leidenuniv.nl c.j.m.van.der.ham@fsw.leidenuniv.nl j.schomaker@fsw.leidenuniv.nlhttps://www.universiteitleiden.nl/en/staffmembers/franz-wurm#tab-1https://www.universiteitleiden.nl/en/staffmembers/ineke-van-der-ham#tab-1https://www.universiteitleiden.nl/en/staffmembers/judith-schomaker/publications#tab-1.
Abstract:
Although higher-level constructs often fail to explain the mechanisms underlying motivation, we argue that purely mechanistic approaches have limitations. Lower-level neural data help us identify "biologically plausible" mechanisms, while higher-level constructs are critical to formulate measurable behavioral outcomes when constructing computational models. Therefore, we propose that a multi-level, multi-measure approach is required to fully unpack the black box of motivated behavior.
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