From biological vision to artificial intelligence: The role of foundational predictive processing
This commentary integrates Coombs and Trestman's trait-linkage hypothesis with Teufel and Fletcher's neurocomputational predictive framework to propose that high-resolution visual systems operate as intrinsic bottom-up predictive mechanisms. By merging these concepts, we emphasize the significance of early sensory prediction in perception and provide a biologically inspired foundation for developing more adaptive, embodied, and cognitively resilient artificial intelligence (AI) systems.
Authors
- Alejandra Ciria (ORCID: https://orcid.org/0000-0002-9216-9297)
- Fernando Marmolejo‐Ramos (ORCID: https://orcid.org/0000-0003-4680-1287)
Institutions
- Flinders University (AU)
- Universidad Nacional Autónoma de México (MX)
Publication Details
- Journal
- Behavioral and Brain Sciences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1017/s0140525x25100733
- Primary Topic
- Face Recognition and Perception
- Type
- article
- Field-Weighted Citation Impact
- 0.00