ERX特刊征稿|聚焦记忆神经网络及其应用研究进展

07 5月 2024 gabriels

特刊详情

客座编辑

  • 牟俊,大连工业大学
  • 曹迎宏,大连工业大学
  • 徐权,常州大学

 

主题范围

As a frontier research direction at the intersection of brain neuroscience and electronic information science, memristor neural networks have become a compelling research topic involving the dynamic behavior and information processing mechanisms of neuronal networks. Differences between terminologies and theoretical frameworks in different subject areas require researchers to strengthen interdisciplinary cooperation and communication to facilitate the integration of theory and practice. In addition, the complexity of memristive neural networks and the diversity of practical applications pose challenges to researchers and require in-depth exploration of their potential applications in the fields of information processing, artificial intelligence, cognitive computing, and brain-computer interfaces. Therefore, we have organized this research topic to discuss new discoveries in memristive neural networks and applications based on memristive neural networks, and hope to present some interesting research results.

Potential topics include, but are not limited to, the following:

  • Design and dynamics study of the memristive neural networks
  • Research on Learning and Memory Mechanisms
  • The application of memristive neural networks in information processing
  • Memristive neural networks and artificial intelligence
  • 5The application of memristive neural networks in brain-computer interfaces
  • Mulmedia information encryption based on memristive neural networks

 

投稿流程

特刊文章与ERX期刊常规文章遵循相同的审稿流程和内容标准,并采用同样的投稿模式。

有关准备文章及投稿的详细信息,可以参阅IOPscience页面的作者指南。

作者可登入期刊主页进行在线投稿,先选择“文章类型”,然后在“选择特刊”的下拉框中选择“Focus issue on Advances in Memristive Neural Networks and Its Applications”。

投稿截止日期:2024年11月30日。


期刊介绍

Engineering Research Express

  • 2022年影响因子:1.7  Citescore: 1.9
  • Engineering Research Express(ERX,《工程研究快讯》)是一本涵盖工程科学所有领域的多学科期刊,致力于发表新的实验和理论研究。ERX对文章长度的具有灵活性并采用快速同行评审政策。发表范围涵盖:电气工程(包括控制工程、量子工程、电子工程、光学工程、电力工程、机器人和半导体工程)、 机械工程(包括航空工程、汽车工程、材料工程和真空工程)、土木工程(包括环境工程、水利工程、海洋和地理工程、结构工程)、化学工程(包括生物工程、食品科学、化学合成和精炼,以及微加工)等方面。