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Billet publié sur Bluesky le 26/05/2026 11:42

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"The starting point that the typical brain is optimal shapes both research theory (e.g., neurodevelopmental theory) and practice... We argue that this premise is false--in many ways, the brain is 'suboptimal', and importantly so" www.cell.com/trends/cogni... autism-relevant, free

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Publication avec DOI Récupéré Publication crossref

Kayson Fakhar, Duncan E. Astle (2026). Embracing the suboptimal organization of the human brain. Trends in Cognitive Sciences. Elsevier BV.

Date de publication
mai 2026
Identifiant
10.1016/j.tics.2026.04.008
Auteurs
Kayson Fakhar, Duncan E. Astle
Source
Trends in Cognitive Sciences
Type de référence
article
Éditeur
Elsevier BV
Source de métadonnées
crossref

Résumé

Human brain architecture is guiding brain-inspired artificial intelligence (AI) and has been treated as an optimal template, whose deviations could mark different psychiatric and neurological conditions. We argue this premise is wrong: under any single goal (e.g., minimal wiring cost or maximal communication efficiency), the human connectome is suboptimal. Instead, its organization reflects multi-objective trade-offs navigated over evolution and development under biological and environmental constraints. For psychopathology, atypical trajectories are not distances from an ideal brain but reweighted compromises in the same trade-off space. For neuro-AI, directly duplicating the brain's connectivity risks copying its irrelevant compromises. Treating brains and models as products of multi-objective optimization and co-tuning relevant objectives offers a more powerful framework for interpreting clinical phenotypes and designing next-generation AI.

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