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Published on: May 25, 2013
人工神经系统的人工神经系统
Lu Yang1,2, Qingwen Cheng1,2, Yue Li1,2
1Institute of Photoelectronic Thin Film Devices and Technology, Key Laboratory of Photoelectronic Thin Film Devices and Technology of Tianjin, College of Electronic Information and Optical Engineering, Engineering Research Center of Thin Film Photoelectronic Technology of Ministry of Education, Academy for Advanced Interdisciplinary Studies, Nankai University, Tianjin, 300350, China.
研究人员正在开发人工神经系统,使用神经形态设备进行先进的信息处理. 需要进一步的研究来实现这些生物启发系统的自主适应性和生物接口.
科学领域:
- 神经科学与材料科学 神经科学与材料科学
- 人工神经系统的发展.
- 神经形态工程的神经形态工程
背景情况:
- 近年来,人们对模拟神经系统认知能力的电子系统进行了大量研究.
- 人工神经系统整合了传感器,神经形态突触装置和效应器,用于感知,处理和响应.
- 关键价值在于生物启发的信息处理,传输和适应.
研究的目的:
- 提供关于人工神经系统近期进展的全面概述.
- 涵盖基本的设备机制和生物启发的系统设计.
- 为这个新兴领域的未来提供一个视角.
主要方法:
- 综述关于突触器件和人工神经系统的当前文献.
- 分析设备结构,机制和系统集成.
- 综合发现,突出进展和未来的方向.
主要成果:
- 已建立的人工神经系统表现出多模式感知,神经处理和反射功能.
- 生物启发的信息处理,传输和环境适应是关键的成就.
- 该领域还处于芽阶段,需要对高级功能进行更多的探索.
结论:
- 人工神经系统代表了生物启发计算的重大进步.
- 进一步发展对于自主适应能力,智能反和生物接口至关重要.
- 持续的研究有望在人机交互和智能系统方面取得突破.

