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How cognition affects perception: Brain activity modelling to unravel top-down dynamics
Martin Desseilles1, Christophe Phillips1
1Cyclotron Research Centre,University of Liège B30,B-4000 Liège,Belgiumc.phillips@ulg.ac.behttp://www.cyclotron.ulg.ac.be/cms/c_15006/fr/christophe-phillips.
The Behavioral and Brain Sciences
|March 31, 2017
Summary
Brain-activity modelling offers new insights into how cognition influences perception. Researchers should utilize this approach to study top-down mechanisms in cognitive neuroscience.
Area of Science:
- Cognitive Neuroscience
- Neuroimaging
- Computational Psychiatry
Background:
- Top-down mechanisms are crucial for understanding cognitive influences on perception.
- Previous research has explored these mechanisms using various methods.
- The commentary addresses Firestone & Scholl's (F&S's) article on this topic.
Purpose of the Study:
- To advocate for the use of brain-activity modelling in investigating top-down mechanisms.
- To highlight the utility of functional brain imaging in conjunction with cognitive paradigms.
- To present novel insights into the dynamic causalities of cognitive-perceptual interactions.
Main Methods:
- Functional brain imaging techniques were employed.
- A specific cognitive paradigm was utilized.
- Brain Blood-Oxygen-Level-Dependent (BOLD) signal modelling was performed.
Main Results:
- Brain-activity modelling of the BOLD signal yielded new insights.
- The study elucidated dynamic causalities in cognitive-perceptual interactions.
- Evidence supports the role of cognitions in shaping perceptions.
Conclusions:
- Brain-activity modelling is a valuable tool for studying top-down cognitive mechanisms.
- Functional brain imaging combined with modelling enhances understanding of cognitive neuroscience.
- This approach offers a dynamic view of how cognitions influence perception.