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.

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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
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article

From biological vision to artificial intelligence: The role of foundational predictive processing

Alejandra Ciria, Fernando Marmolejo‐Ramos
Behavioral and Brain Sciences
Face Recognition and Perception
article

From biological vision to artificial intelligence: The role of foundational predictive processing

Alejandra Ciria, Fernando Marmolejo‐Ramos
article en

Abstract

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.

Behavioral and Brain SciencesVol. 48
Flinders University (AU), Universidad Nacional Autónoma de México (MX)
Openalex Percentile: Top 68%
Face Recognition and Perception
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