统计参数映射和神经测量学——30年的对话。

IF 2.9 2区医学 Q2 NEUROSCIENCES

Cerebral cortex Pub Date : 2025-08-01 DOI:10.1093/cercor/bhaf249

Pedro Antonio Valdes-Sosa, Alan C Evans, Maria L Bringas-Vega, Ronaldo Garcia-Reyes, Mitchell J Valdes-Sosa

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引用次数: 0

摘要

这篇评论反映了古巴神经信息学传统与统计参数映射（SPM）框架之间三十年的相互作用。从古巴神经测量学的早期发展到全球脑联盟等全球倡议，我们的轨迹与SPM的轨迹是平行和交叉的。我们强调通过与卡尔·弗里斯顿及其团队的合作、研讨会和联合理论工作，共同致力于生成建模、贝叶斯推理和人口水平的大脑映射。这种融合将继续引导我们朝着全球、开放和可解释的神经科学方向努力。

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Statistical parametric mapping and neurometrics-a 30-year dialogue.

This commentary reflects three decades of interaction between the Cuban neuroinformatics tradition and the statistical parametric mapping (SPM) framework. From the early development of neurometrics in Cuba to global initiatives like the Global Brain Consortium, our trajectory has paralleled and intersected with that of SPM. We highlight shared commitments to generative modeling, Bayesian inference, and population-level brain mapping, as shaped through collaborations, workshops, and joint theoretical work with Karl Friston and his group. This convergence continues to guide our efforts toward global, open, and explicable neuroscience.

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来源期刊

Cerebral cortex 医学-神经科学

CiteScore

6.30

自引率

8.10%

发文量

510

审稿时长

2 months

期刊介绍： Cerebral Cortex publishes papers on the development, organization, plasticity, and function of the cerebral cortex, including the hippocampus. Studies with clear relevance to the cerebral cortex, such as the thalamocortical relationship or cortico-subcortical interactions, are also included. The journal is multidisciplinary and covers the large variety of modern neurobiological and neuropsychological techniques, including anatomy, biochemistry, molecular neurobiology, electrophysiology, behavior, artificial intelligence, and theoretical modeling. In addition to research articles, special features such as brief reviews, book reviews, and commentaries are included.