Understanding Navon: A detailed structural and conceptual analysis of a basic local–global task - PMC
When perceiving visual information, either the local parts or more commonly the global whole can dominate on a perceptual-cognitive level (local/global bias). Using hierarchical figures consisting of smaller local elements forming a larger global ...
Abstract When perceiving visual information, either the local parts or more commonly the global whole can dominate on a perceptual-cognitive level (local/global bias). Using hierarchical figures consisting of smaller local elements forming a larger global shape, researchers have tried to understand how this local–global bias emerges. However, despite extensive research, local–global biases remain an elusive concept (possibly partially due to inadequacies of the task design itself), with implicit assumptions untested and different effect metrics being in use. To provide conceptual clarity,…
saved by
related reading
- Target Confusability Competition Modelbradylab.ucsd.edu
- Central tendency biases must be accounted for to consistently capture Bayesian cue combination in continuous response databiorxiv.org
- Central tendency biases must be accounted for to consistently capture Bayesian cue combination in continuous response datapmc.ncbi.nlm.nih.gov
- A brain-wide map of neural activity during complex behaviournature.com
- The “Fraction Sense” Emerges from a Deep Convolutional Neural Networkcognitivesciencesociety.org
- Complementary task representations in hippocampus and prefrontal cortex for generalizing the structure of problemsnature.com
- Adversarial testing of global neuronal workspace and integrated information theories of consciousnessnature.com
- Neural population geometry and optimal coding of tasks with shared latent structurenature.com
- People construct simplified mental representations to plannature.com
- Quantifying streams of thought during cognitive task performance using sequence analysislink.springer.com
- Shared mechanisms underlie the control of working memory and attentionnature.com
- tversky-features.pdfpages.ucsd.edu