晶体管
纳米技术
材料科学
薄脆饼
电子线路
仿生学
电子皮肤
演化硬件
计算机科学
维数之咒
逻辑门
电压
人工智能
电气工程
工程类
作者
Jennifer Y. Gerasimov,Dan Zhao,Ayesha Sultana,Tobias Abrahamsson,Shaobo Han,David Bliman,Deyu Tu,Daniel T. Simon,Roger Olsson,Xavier Crispin,Magnus Berggren,Simone Fabiano
标识
DOI:10.1002/aelm.202001126
摘要
Abstract Biomimicry at the hardware level is expected to overcome at least some of the challenges, including high power consumption, large footprint, two‐dimensionality, and limited functionality, which arise as the field of artificial intelligence matures. One of the main attributes that allow biological systems to thrive is the successful interpretation of and response to environmental signals. Taking inspiration from these systems, the first demonstration of using multiple environmental inputs to trigger the formation and control the growth of an evolvable synaptic transistor is reported here. The resulting transistor exhibits long‐term changes in the channel conductance at a fixed gate voltage. Biomimetic logic circuits are investigated based on this evolvable transistor that implement temperature and pressure inputs to achieve higher order processes like self‐regulation of synaptic strength and coincidence detection.
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