Dear Colleagues,

Brain interface technologies have been one of the most important tools for many years in biomedical engineering and neurosciences. The technology has a long history of success with some technologies, such as deep brain stimulation being already clinically applied. For the last decade, various levels of microelectronics related technologies have contributed to the traditional brain interface and neural interface technologies with significant improvements in many aspects: performance, variety in form factors, applications, new principles, and so on. In addition, the development and discovery of novel neuromodulation mechanisms, including optogenetics and other minimally invasive stimulation methods, have drawn significant interest from many different research communities, including microelectronics.

Many of these recent developments came with the application of advanced microelectronics and related technologies. Various levels of electronics from device, integrated circuits, microfabrication, computing system, signal processing, and data analysis have all contributed to redefine the area of Brain–Microelectronics Interface technologies, and more upcoming innovation and integration will be expected and desired.

In this Special Issue on “Brain-Microelectronics Interface”, we hope to create an opportunity for the communities in (but not limited to) electronics to further develop the recent efforts of ‘applying microelectronics related technologies to neuroscience, neural engineering, and biomedical engineering areas’. With extra focus on neuromodulation aspects of the Brain–Microelectronics Interface technology (but not limited to), we would welcome the related areas of topics including:

• Novel mechanisms (e.g., new physical or biomedical principles and the application of the same);
• Novel devices and integrated circuits;
• New materials for bioelectronic microelectronics, Brain–Microelectronics Interface;
• Novel bioelectronic system implementation;
• Novel analysis approaches, including machine learning or artificial intelligence ;
• Computational analysis for Brain–Microelectronics Interface devices;
• Novel microfabrication for Brain–Microelectronics Interface devices;
• New applications of Brain–Microelectronics Interface.

Prof. Dr. Hongki Kang
Guest Editor

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• neural recording and stimulation
• neuroprosthetics
• optical stimulation
• electrical stimulation
• microelectrode
• light emitting devices
• flexible and transparent electronics
• nanomaterial mediated neural stimulation
• stimulation artefacts
• machine-learning-based analysis
• wireless communication