Shogo Ohmae

The paper shows that semantic relations like queen-king and woman-man form parallelogram geometry in the human neocortex, similar to language AI, suggesting a shared organizational principle.

This paper develops a deep-learning classifier to identify cell types from extracellular recordings across species with over 95% accuracy.

This study develops a biologically-constrained cerebellar neural network model to explore language-related functions like word prediction and syntax recognition, finding that a recurrent pathway supports both.

This study investigates the functional organization of the cerebellum in mice during motor learning and identifies three operational principles that challenge the conventional view of cerebellar architecture.

P-sort is an open-source software that improves spike detection and attribution in cerebellar Purkinje cells by merging and splitting clusters based on statistical relationships between simple and complex spikes.

This study shows that deleting Mecp2 from the entire cerebellum, but not from individual cell types, causes a delay in motor learning in mice.