社论：人工智能和逆向方法在神经科学中构建数字双胞胎。

IF 2.3 4区医学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY

Frontiers in Computational Neuroscience Pub Date : 2025-09-08 eCollection Date: 2025-01-01 DOI:10.3389/fncom.2025.1684335

Alain Nogaret, Ana Mirallave-Pescador, Maik Kschischo

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Editorial: AI and inverse methods for building digital twins in neuroscience.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Frontiers in Computational Neuroscience MATHEMATICAL & COMPUTATIONAL BIOLOGY-NEUROSCIENCES

CiteScore

5.30

自引率

3.10%

发文量

166

审稿时长

6-12 weeks

期刊介绍： Frontiers in Computational Neuroscience is a first-tier electronic journal devoted to promoting theoretical modeling of brain function and fostering interdisciplinary interactions between theoretical and experimental neuroscience. Progress in understanding the amazing capabilities of the brain is still limited, and we believe that it will only come with deep theoretical thinking and mutually stimulating cooperation between different disciplines and approaches. We therefore invite original contributions on a wide range of topics that present the fruits of such cooperation, or provide stimuli for future alliances. We aim to provide an interactive forum for cutting-edge theoretical studies of the nervous system, and for promulgating the best theoretical research to the broader neuroscience community. Models of all styles and at all levels are welcome, from biophysically motivated realistic simulations of neurons and synapses to high-level abstract models of inference and decision making. While the journal is primarily focused on theoretically based and driven research, we welcome experimental studies that validate and test theoretical conclusions. Also: comp neuro