no code implementations • 2 Aug 2023 • Wenlian Lu, Longbin Zeng, Xin Du, Wenyong Zhang, Shitong Xiang, Huarui Wang, Jiexiang Wang, Mingda Ji, Yubo Hou, Minglong Wang, Yuhao Liu, Zhongyu Chen, Qibao Zheng, Ningsheng Xu, Jianfeng Feng
In comparison to most brain simulations with a homogeneous global structure, we highlight that the sparseness, couplingness and heterogeneity in the sMRI, DTI and PET data of the brain has an essential impact on the efficiency of brain simulation, which is proved from the scaling experiments that the DTB of human brain simulation is communication-intensive and memory-access intensive computing systems rather than computation-intensive.
no code implementations • 29 Nov 2022 • Wenlian Lu, Qibao Zheng, Ningsheng Xu, Jianfeng Feng, DTB Consortium
We simulate the human brain at the scale of up to 86 billion neurons, i. e., digital twin brain (DTB), which mimics certain aspects of its biological counterpart both in the resting state and in action.
