[4S03m] Dynamics of whole brain models

[4S03m-02] Marmoset whole brain network model based on the structural connectome and gene expression map reproduces the functional connectome with balanced excitation and inhibition

*Hiromichi Tsukada^1,2, Ken Nakae³, Junichi Hata⁴, Hiro Taiyo Hamada^5,2, Keita Tokuda⁶, Carlos Enrique Gutierrez^2,7, Henrik Skibbe⁸, Charissa Poon⁸, Alexander Woodward⁹, Shin Ishii¹⁰, Tomomi Shimogori¹¹, Hideyuki Okano¹², Kenji Doya² (1. Center for Mathematical Science and Artificial Intelligence, Chubu University, Aichi, Japan, 2. Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan, 3. The Exploratory Research Center on Life and Living Systems, National Institutes of Natural Sciences, Aichi, Japan, 4. Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan, 5. Research & Development Department, Araya Inc, Tokyo, Japan, 6. The faculty of health data science, Juntendo University, Chiba, Japan, 7. AI Strategy Office, SoftBank Corp., Tokyo, Japan, 8. Brain Image Analysis Unit, RIKEN Center for Brain Science, Saitama, Japan, 9. Connectome Analysis Unit, RIKEN Center for Brain Science, Saitama, Japan, 10. Graduate School of Informatics, Kyoto University, Kyoto, Japan, 11. Molecular Mechanisms of Brain Development, RIKEN Center for Brain Science, Saitama, Japan, 12. Department of Physiology, Keio University School of Medicine, Tokyo, Japan)

Keywords:Data driven model, E-I balance, Marmoset, Resting-state fMRI