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In-materio neuromimetic devices: Dynamics, information processing and pattern recognition
arXiv - CS - Emerging Technologies Pub Date : 2020-02-14 , DOI: arxiv-2002.07712
Dawid Przyczyna, Piotr Zawal, Tomasz Mazur, Pier Luigi Gentili, Konrad Szaci{\l}owski

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.

中文翻译:

体内模拟神经装置:动力学、信息处理和模式识别

信息处理的故事是一个巨大成功的故事。今天的微处理器是前所未有的复杂设备,MOSFET晶体管被认为是人类历史上生产最广泛的人工制品。当前电子电路的小型化几乎被推到了物理极限,并开始受到各种寄生效应的影响。这些事实刺激了对神经模拟装置的深入研究。这篇专题文章致力于神经模拟过程的各种物质实现,包括神经元动力学、突触可塑性和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,
更新日期:2020-05-20
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