Brain-AI convergence: Generative world models and hierarchical attention for human intelligence

Shogo Ohmae, Keiko Ohmae

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DOI: 10.1016/j.patter.2026.101593
Published: 2026-08
Container: Patterns
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.patter.2026.101593,
  title = {Brain-AI convergence: Generative world models and hierarchical attention for human intelligence},
  author = {Shogo Ohmae and Keiko Ohmae},
  year = {2026},
  journal = {Patterns},
  doi = {10.1016/j.patter.2026.101593},
  url = {https://doi.org/10.1016/j.patter.2026.101593}
}

RIS

TY  - JOUR
TI  - Brain-AI convergence: Generative world models and hierarchical attention for human intelligence
AU  - Shogo Ohmae
AU  - Keiko Ohmae
PY  - 2026
JO  - Patterns
DO  - 10.1016/j.patter.2026.101593
UR  - https://doi.org/10.1016/j.patter.2026.101593
ER  -

APA

Ohmae, S., & Ohmae, K. (2026). Brain-AI convergence: Generative world models and hierarchical attention for human intelligence. Patterns. https://doi.org/10.1016/j.patter.2026.101593

Source records

crossref · retrieved 2026-09-25T03:56:01.889Z