Progress on the application of supercomputer brain simulation technology.
High performance computing (HPC) is transforming the field of large - scale brain simulation by enabling the integration of multi - scale computational modeling with massive neuroscience data. With advanced HPC resources, researchers can simulate neural activities from ion-channel dynamics to whole...
| Publicado en: | Chinese Journal of Contemporary Neurology & Neurosurgery Vol. 25; no. 2; pp. 112 - 121 |
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| Autor principal: | |
| Formato: | review Journal Article |
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Chinese Journal of Contemporary Neurology & Neurosurgery
Feb2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=184219190&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 184219190 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 16726731 FDQ6 jtl: Chinese Journal of Contemporary Neurology & Neurosurgery issn: 16726731 maglogo: N pubinfo: dt: Feb2025 vid: 25 iid: 2 pid: 80951 pub: Chinese Journal of Contemporary Neurology & Neurosurgery artinfo: ui: 184219190 184219190 184219190 10.3969/j.issn.1672-6731.2025.02.003 184219190 ppf: 112 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Progress on the application of supercomputer brain simulation technology. aug: au: SUN Zhe affil: Computational Bioengineering Laboratory, Faculty of Health Data Science, Graduate School of Medicine, Juntendo University, Tokyo 1138421, Japan sug: subj: Deep Brain Stimulation Computer Simulation Digital Health Machine Learning Convolutional Neural Networks Brain Stem Alzheimer's Disease Parkinson Disease Autism Spectrum Disorder Schizophrenia Epilepsy ab: High performance computing (HPC) is transforming the field of large - scale brain simulation by enabling the integration of multi - scale computational modeling with massive neuroscience data. With advanced HPC resources, researchers can simulate neural activities from ion-channel dynamics to whole - brain network interactions, thereby illuminating the mechanisms underlying cognition, neural disorders, and emerging neuromorphic intelligence. This review examines the theoretical principles and technical foundations of supercomputer brain simulation, including distributed parallel algorithms, graphics processing unit (GPU) - based acceleration, and multimodal data management. It also surveys prominent simulation platforms such as NEST, NEURON, and The Virtual Brain (TVB), highlighting their strengths in modeling spiking neuronal network (SNN), multicompartmental neurons, and large - scale functional connectivity, respectively. Furthermore, we discuss the practical applications of these simulations in elucidating disease mechanisms in Alzheimer's disease (AD), Parkinson's disease (PD), autism spectrum disorder (ASD), schizophrenia, and epilepsy. Special emphasis is placed on how supercomputer brain simulation assists in virtual drug screening, optimizing deep brain stimulation parameters, and supporting digital twin approaches for personalized medicine. Finally, we address the critical challenges and future directions in this rapidly evolving domain, including the trade-off between computational cost and biological realism, data integration and validation, and the necessity for interdisciplinary collaboration. The advent of exascale supercomputers and the convergence of neuroinformatics and machine learning (ML) are poised to propel brain simulation research toward unprecedented clinical and scientific breakthroughs. pubtype: Academic Journal doctype: review Journal Article ougenre: Article language: Chinese refInfo: holdings: @attributes: islocal: N |
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