Frontiers in Neuroinformatics publishes rigorously peer-reviewed research on the development and implementation of numerical/computational models and analytical tools used to share, integrate and analyze experimental data and advance theories of the nervous system functions. Specialty Chief Editors Jan G. Bjaalie at the University of Oslo and Sean L. Hill at the École Polytechnique Fédérale de Lausanne are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide.

Neuroscience is being propelled into the information age as the volume of information explodes, demanding organization and synthesis. Novel synthesis approaches are opening up a new dimension for the exploration of the components of brain elements and systems and the vast number of variables that underlie their functions. Neural data is highly heterogeneous with complex inter-relations across multiple levels, driving the need for innovative organizing and synthesizing approaches from genes to cognition, and covering a range of species and disease states.

Frontiers in Neuroinformatics therefore welcomes submissions on existing neuroscience databases, development of data and knowledge bases for all levels of neuroscience, applications and technologies that can facilitate data sharing (interoperability, formats, terminologies, and ontologies), and novel tools for data acquisition, analyses, visualization, and dissemination of nervous system data. Our journal welcomes submissions on new tools (software and hardware) that support brain modeling, and the merging of neuroscience databases with brain models used for simulation and visualization.

《神经信息学前沿》发表经过严格同行评审的研究，研究内容涉及数值/计算模型和分析工具的开发和实施，这些模型和分析工具用于共享、整合和分析实验数据，并推进神经系统功能理论的发展。专业主编是奥斯陆大学的 Jan G. Bjaalie 和洛桑联邦理工学院的 Sean L. Hill，他们得到了由国际专家组成的杰出编辑委员会的支持。这本多学科的开放获取期刊处于向全世界的研究人员、学者和公众传播和交流科学知识和有影响力的发现的前沿。

随着信息量的爆炸式增长，神经科学正被推进到信息时代，需要进行组织和综合。新的综合方法为探索大脑元素和系统的组成部分以及构成其功能的大量变量开辟了一个新维度。神经数据高度异构，在多个层面上具有复杂的相互关系，推动了对从基因到认知的创新组织和综合方法的需求，并涵盖了一系列物种和疾病状态。

因此，《神经信息学前沿》欢迎提交有关现有神经科学数据库、神经科学各级数据和知识库的开发、可以促进数据共享（互操作性、格式、术语和本体）的应用程序和技术以及用于数据采集、分析、可视化和传播神经系统数据的新工具的论文。我们的期刊欢迎提交有关支持大脑建模的新工具（软件和硬件）的论文，以及神经科学数据库与用于模拟和可视化的大脑模型的合并。

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