output
20202024
most citedSchizophrenia-mimicking layers outperform conventional neural network layers

6 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

4 papers

q-bio.NC2024★ 4 cited

Murine AI excels at cats and cheese: Structural differences between human and mouse neurons and their implementation in generative AIs

Rino Saiga, Kaede Shiga, Yo Maruta +19

Mouse and human brains have different functions that depend on their neuronal networks. In this study, we analyzed nanometer-scale three-dimensional structures of brain tissues of…

q-bio.NC2022★ 5 cited

Structural aging of human neurons is the opposite of the changes in schizophrenia

Ryuta Mizutani, Rino Saiga, Yoshiro Yamamoto +17

Human mentality develops with age and is altered in psychiatric disorders, though their underlying mechanism is unknown. In this study, we analyzed nanometer-scale three-dimensiona…

eess.IV2020★ 6 cited

Schizophrenia-mimicking layers outperform conventional neural network layers

Ryuta Mizutani, Senta Noguchi, Rino Saiga +4

We have reported nanometer-scale three-dimensional studies of brain networks of schizophrenia cases and found that their neurites are thin and tortuous compared to healthy controls…

q-bio.NC2020★ 1 cited

Structural diverseness of neurons between brain areas and between cases

Ryuta Mizutani, Rino Saiga, Yoshiro Yamamoto +17

The cerebral cortex is composed of multiple cortical areas that exert a wide variety of brain functions. Although human brain neurons are genetically and areally mosaic, the three-…