2023/08/02 by Wenlian Lu, Lu, Wenlian, Longbin Zeng +27 · 1 voice · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Advanced Memory and Neural Computing #Age of Information Optimization #FOS: Biological sciences #FOS: Computer and information sciences #Molecular Communication and Nanonetworks #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC) #cs.NE #q-bio.NC
paper · pdf · doi:10.48550/arxiv.2308.01241
openalex publication_date 2023/08/02 · arxiv published 2023/08/02 · arxiv updated 2023/08/02 · openalex created_date 2023/08/18 · openalex updated_date 2026/07/28
In this work, we present a computing platform named digital twin brain (DTB) that can simulate spiking neuronal networks of the whole human brain scale and more importantly, a personalized biological brain structure. 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. We utilize a number of optimization techniques to balance and integrate the computation loads and communication traffics from the heterogeneous biological structure to the general GPU-based HPC and achieve leading simulation performance for the whole human brain-scaled spiking neuronal networks. On the other hand, the biological structure, equipped with a mesoscopic data assimilation, enables the DTB to investigate brain cognitive function by a reverse-engineering method, which is demonstrated by a digital experiment of visual evaluation on the DTB. Furthermore, we believe that the developing DTB will be a promising powerful platform for a large of research orients including brain-inspiredintelligence, rain disease medicine and brain-machine interface.