Helpless infants are learning a foundation model.

development evolutionary biology infant machine learning neuroimaging pre-training

Journal

Trends in cognitive sciences
ISSN: 1879-307X
Titre abrégé: Trends Cogn Sci
Pays: England
ID NLM: 9708669

Informations de publication

Date de publication:
04 Jun 2024
Historique:
received: 12 12 2023
revised: 24 04 2024
accepted: 03 05 2024
medline: 6 6 2024
pubmed: 6 6 2024
entrez: 5 6 2024
Statut: aheadofprint

Résumé

Humans have a protracted postnatal helplessness period, typically attributed to human-specific maternal constraints causing an early birth when the brain is highly immature. By aligning neurodevelopmental events across species, however, it has been found that humans are not born with especially immature brains compared with animal species with a shorter helpless period. Consistent with this, the rapidly growing field of infant neuroimaging has found that brain connectivity and functional activation at birth share many similarities with the mature brain. Inspired by machine learning, where deep neural networks also benefit from a 'helpless period' of pre-training, we propose that human infants are learning a foundation model: a set of fundamental representations that underpin later cognition with high performance and rapid generalisation.

Identifiants

pubmed: 38839537
pii: S1364-6613(24)00114-1
doi: 10.1016/j.tics.2024.05.001
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests The authors declare no competing interests.

Auteurs

Rhodri Cusack (R)

Trinity College Dublin, Dublin, Ireland. Electronic address: cusackrh@tcd.ie.

Marc'Aurelio Ranzato (M)

Google DeepMind, London, UK.

Christine J Charvet (CJ)

Auburn University, Auburn, AL, USA.

Classifications MeSH