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Towards a theory of biological intelligence

Trapp, Sabrina; Friston, Karl; Schroeger, Erich; Parr, Thomas; (2025) Towards a theory of biological intelligence. New Ideas in Psychology , 78 , Article 101156. 10.1016/j.newideapsych.2025.101156.

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Abstract

There exists an underexplored correlation between intelligence and perceptual discrimination. Perceptual discrimination can be understood through the concept of precision in predictive processing. Precision governs the weighting of sensory inputs and prediction errors, shaping how effectively an individual can extract meaningful information from their environment. We here propose a link between intelligence and precision, arguing that the ability to dynamically regulate precision is a key determinant of intelligent behavior. This perspective bridges individual cognitive differences with broader theoretical models of human brain functioning, offering a more comprehensive understanding of how intelligence manifests in biological systems.

Type: Article
Title: Towards a theory of biological intelligence
DOI: 10.1016/j.newideapsych.2025.101156
Publisher version: https://doi.org/10.1016/j.newideapsych.2025.101156
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Attention, ATTENTION, BRAINS, FLUID, Free-energy principle, Interindividual, MODEL, Precision, PREDICTION, Prediction error, Psychology, Psychology, Experimental, Psychology, Multidisciplinary, SENSORY DISCRIMINATION, Social Sciences, WORKING-MEMORY
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
URI: https://discovery.ucl.ac.uk/id/eprint/10207202
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