中国高校科技期刊研究会第9次会员代表大会在北京召开，中宣部出版局副局长张怀海、教育部科学技术与信息化司一级巡视员张国辉等领导出席会议并发表..
英文简介：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.中文简介：（来自Google、百度翻译）神经信息学前沿发表了严格的同行评审研究，研究了用于共享，集成和分析实验数据以及神经系统功能先进理论的数值/计算模型和分析工具的开发和实施。奥斯陆大学的专业主编G. Bjaalie 1月和洛桑综合理工学院的Sean L. Hill得到了杰出的国际专家编辑委员会的支持。这本多学科开放获取期刊是在向世界各地的研究人员，学者和公众传播和交流科学知识和有影响力的发现的最前沿。 随着信息量的激增，要求组织和综合，神经科学正被推进到信息时代。新颖的综合方法正在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新的领域。神经数据是高度异构的，具有跨多个层次的复杂相互关系，推动了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。 神经信息学前沿因此欢迎提交现有的神经科学数据库，开发用于各级神经科学的数据和知识库，可促进数据共享 (互操作性，格式，术语和本体) 的应用程序和技术，以及用于神经系统数据的数据采集，分析，可视化和传播的新颖工具。我们的期刊欢迎有关支持大脑建模的新工具 (软件和硬件) 的提交，以及将神经科学数据库与用于模拟和可视化的大脑模型合并。
