首页> 中文期刊> 《中国科学》 >Challenges of memristor based neuromorphic computing system

Challenges of memristor based neuromorphic computing system

         

摘要

The high efficiency of human brain illmninates thedevelopment of neuromorphic computing system(NCS). In truman brain, membrane potential thatgoes beyond certain threshold voltage triggers thepropagation of spike signals that carries the infor-mation to proceeding neurons. This process is usu-ally abstracted as the integration and fire model,inspiring circuit design and architecture solutionsfor neuromorphic computing. Different from con-ventional von Neumann architecture, neuromor-phic systems tend to closely integrate the comput-ing units and memories, efficiently reducing thedistance between computing units and memoryand consequently breaking the so-called "memorywall" .

著录项

相似文献

  • 中文文献
  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号