3 papers
q-bio.NC2025
The brain-AI convergence: Predictive and generative world models for general-purpose computation
Shogo Ohmae, Keiko Ohmae
Recent advances in general-purpose AI systems with attention-based transformers offer a potential window into how the neocortex and cerebellum, despite their relatively uniform cir…
q-bio.NC2024
The brain versus AI: World-model-based versatile circuit computation underlying diverse functions in the neocortex and cerebellum
Shogo Ohmae, Keiko Ohmae
AI's significant recent advances using general-purpose circuit computations offer a potential window into how the neocortex and cerebellum of the brain are able to achieve a divers…
q-bio.NC2020
50 years since the Marr, Ito, and Albus models of the cerebellum
Mitsuo Kawato, Shogo Ohmae, Huu Hoang +1
Fifty years have passed since David Marr, Masao Ito, and James Albus proposed seminal models of cerebellar functions. These models share the essential concept that parallel-fiber-P…