How can neuromorphic hardware attain brain-like functional capabilities?
作者机构:Computer Science and Biomedical EngineeringGraz University of Technology
出 版 物:《National Science Review》 (国家科学评论(英文版))
年 卷 期:2024年第11卷第5期
页 面:11-13页
核心收录:
学科分类:0831[工学-生物医学工程(可授工学、理学、医学学位)] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0836[工学-生物工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:partially supported by the Human Brain Project (785907) of the European Union a grant from Intel
摘 要:Research on neuromorphic computing is driven by the vision that we can emulate brain-like computing capability, learning capability, and energy-efficiency in novel hardware. Unfortunately, this vision has so far been pursued in a half-hearted manner. Most current neuromorphic hardware (NMHW) employs brain-like spiking neurons instead of standard artificial neurons.