聚集你的神经元，一起建模：社区时代即将到来

IF 9.8 1区生物学 Q1 Agricultural and Biological Sciences

PLoS Biology Pub Date : 2024-11-06 eCollection Date: 2024-11-01 DOI:10.1371/journal.pbio.3002839

Maria Diamantaki, Athanasia Papoutsi

引用次数: 0

摘要

自下而上、数据驱动的大规模模型提供了对神经元功能的机理理解。发表在《PLOS Biology》上的一项新研究为啮齿动物CA1区建立了一个符合生物学现实的模型，旨在成为整个海马群体都能使用的工具。

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

Gather your neurons and model together: Community times ahead.

Bottom-up, data-driven, large-scale models provide a mechanistic understanding of neuronal functions. A new study in PLOS Biology builds a biologically realistic model of the rodent CA1 region that aims to become an accessible tool for the whole hippocampal community.

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

PLoS Biology BIOCHEMISTRY & MOLECULAR BIOLOGY-BIOLOGY

CiteScore

15.40

自引率

2.00%

发文量

359

审稿时长

3-8 weeks

期刊介绍： PLOS Biology is the flagship journal of the Public Library of Science (PLOS) and focuses on publishing groundbreaking and relevant research in all areas of biological science. The journal features works at various scales, ranging from molecules to ecosystems, and also encourages interdisciplinary studies. PLOS Biology publishes articles that demonstrate exceptional significance, originality, and relevance, with a high standard of scientific rigor in methodology, reporting, and conclusions. The journal aims to advance science and serve the research community by transforming research communication to align with the research process. It offers evolving article types and policies that empower authors to share the complete story behind their scientific findings with a diverse global audience of researchers, educators, policymakers, patient advocacy groups, and the general public. PLOS Biology, along with other PLOS journals, is widely indexed by major services such as Crossref, Dimensions, DOAJ, Google Scholar, PubMed, PubMed Central, Scopus, and Web of Science. Additionally, PLOS Biology is indexed by various other services including AGRICOLA, Biological Abstracts, BIOSYS Previews, CABI CAB Abstracts, CABI Global Health, CAPES, CAS, CNKI, Embase, Journal Guide, MEDLINE, and Zoological Record, ensuring that the research content is easily accessible and discoverable by a wide range of audiences.