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

Published online by Cambridge University Press:  03 November 2025

Fernando Marmolejo-Ramos Open the ORCID record for Fernando Marmolejo-Ramos [Opens in a new window]  and
Alejandra Ciria Open the ORCID record for Alejandra Ciria [Opens in a new window]
Fernando Marmolejo-Ramos*
Affiliation:
College of Education, Psychology, and Social Work, Flinders University, Adelaide, Australia fernando.marmolejoramos@flinders.edu.au alejandra.ciria@unam.mx
Alejandra Ciria
Affiliation:
Facultad de Psicología, Universidad Nacional Autónoma de México, México City, México
*
*Corresponding author.
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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.

Information

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 48 , 2025 , e92
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Copyright
© The Author(s), 2025. Published by Cambridge University Press

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