神经形态工程学
冯·诺依曼建筑
计算机体系结构
生物神经网络
人工智能
电子线路
机制(生物学)
人工神经网络
计算机科学
计算机工程
机器学习
电气工程
工程类
物理
量子力学
操作系统
作者
Xuhai Liu,Fengyun Wang,Jie Su,Ye Zhou,Seeram Ramakrishna
标识
DOI:10.1002/adfm.202113050
摘要
Abstract Neuromorphic circuits emulating the bio‐brain functionality via artificial devices have achieved a substantial scientific leap in the past decade. However, even with the advent of highly advanced bio‐inspired algorithms, the artificial intelligence based on current neuromorphic circuits is lagging behind significantly when compared with naturally evolved biological neural circuits. This massive and intriguing discrepancy is partly due to the incomprehensive understanding of bio‐brain operating mechanism, which relies heavily on the extremely complexed entangled 3D hierarchical neural networks. Configuring 3D neuromorphic hardware with combined computing and memory functionalities, coupled with compatible progress of software algorithms, can be an inevitable route to surmount the limitation encountered by current 2D artificial circuits. Herein, referring to the neuron configuration in 3D perspective together with detailed signal generation and propagation mechanism, the von Neumann configuration is compared with state‐of‐the‐art in‐memory computing architecture, and the development and perspectives of 3D in‐memory computing neuromorphic circuits are highlighted.
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