Frontiers In Neuroinformatics

雜志介紹

Frontiers In Neuroinformatics雜志介紹

《Frontiers In Neuroinformatics》是一本以English為主的開放獲取國際優秀期刊，中文名稱神經信息學前沿，本刊主要出版、報道醫學-MATHEMATICAL & COMPUTATIONAL BIOLOGY領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為2.5，最新CiteScore 指數為4.8。

本刊近期中國學者發表的論文主要有：

• An RBF neural network based on improved black widow optimization algorithm for classification and regression problems

  Author: Liu, Hui; Zhou, Guo; Zhou, Yongquan; Huang, Huajuan; Wei, Xiuxi

• Machine learning-based infection prediction model for newly diagnosed multiple myeloma patients

  Author: Peng, Ting; Liu, Leping; Liu, Feiyang; Ding, Liang; Liu, Jing; Zhou, Han; Liu, Chong

• bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease

  Author: Li, Yupeng; Zhao, Dong; Xu, Zhangze; Heidari, Ali Asghar; Chen, Huiling; Jiang, Xinyu; Liu, Zhifang; Wang, Mengmeng; Zhou, Qiongyan; Xu, Suling

• An enhanced deep deterministic policy gradient algorithm for intelligent control of robotic arms

  Author: Dong, Ruyi; Du, Junjie; Liu, Yanan; Heidari, Ali Asghar; Chen, Huiling

英文介紹

Frontiers In Neuroinformatics雜志英文介紹

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.