论文标题
体内神经映射设备：动态，信息处理和模式识别
In-materio neuromimetic devices: Dynamics, information processing and pattern recognition
论文作者
论文摘要
信息处理的故事是一个成功的故事。今天的微处理器是前所未有的复杂性的设备，MOSFET晶体管被认为是人类历史上最广泛的人工制品。当前电子电路的微型化几乎被推到了物理极限，并开始遭受各种寄生效应。这些事实刺激了对神经映射装置的深入研究。此功能文章专门用于神经模仿过程的材料实施，包括神经元动力学，突触可塑性以及更高级别的信号和信息处理，以及更复杂的实现，包括信号处理，语音识别和数据安全。由于该领域的大量论文，本综述仅介绍了主题的主题选择。
The story of information processing is a story of great success. Todays' microprocessors are devices of unprecedented complexity and MOSFET transistors are considered as the most widely produced artifact in the history of mankind. The current miniaturization of electronic circuits is pushed almost to the physical limit and begins to suffer from various parasitic effects. These facts stimulate intense research on neuromimetic devices. This feature article is devoted to various in materio implementation of neuromimetic processes, including neuronal dynamics, synaptic plasticity, and higher-level signal and information processing, along with more sophisticated implementations, including signal processing, speech recognition and data security. Due to vast number of papers in the field, only a subjective selection of topics is presented in this review.
