Digital neuromorphic technology: current and future prospects

作     者：Steve Furber 

作者机构：Department of Computer Science The University of Manchester 

出 版 物：《National Science Review》 (国家科学评论(英文版))

年 卷 期：2024年第05期

页      面：10-11页

核心收录：

学科分类：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] 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：supported by the European Union Flagship Human Brain Project SGA3 (H2020945539) 

摘      要：Neuromorphic technology has diversified considerably from its origins in the seminal work by Carver Mead and his group at Caltech in the 1980s [1]. That early work focussed on the analogy between the equations describing the flow of ions in biological neurons and the equations describing the flow of carriers in field-effect transistors operating in the subthreshold region.