Response-level processing during visual feature search: effects of frontoparietal activation and adult age
Previous research suggests that feature search performance is relatively resistant to age-related decline. However, little is known regarding the neural mechanisms underlying the age-related constancy of feature search. In this experiment, we used a diffusion decision model of reaction time (RT), an...
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| Hauptverfasser: | , , , , , |
|---|---|
| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
2020
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| In: |
Attention, perception, & psychophysics
Year: 2019, Jahrgang: 82, Heft: 1, Pages: 330-349 |
| ISSN: | 1943-393X |
| DOI: | 10.3758/s13414-019-01823-3 |
| Online-Zugang: | Resolving-System, lizenzpflichtig, Volltext: https://doi.org/10.3758/s13414-019-01823-3 |
| Verfasserangaben: | David J. Madden, Rachel E. Siciliano, Catherine W. Tallman, Zachary A. Monge, Andreas Voss, Jessica R. Cohen |
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| 520 | |a Previous research suggests that feature search performance is relatively resistant to age-related decline. However, little is known regarding the neural mechanisms underlying the age-related constancy of feature search. In this experiment, we used a diffusion decision model of reaction time (RT), and event-related functional magnetic resonance imaging (fMRI) to investigate age-related differences in response-level processing during visual feature search. | ||
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