返回
Neuromorphic Computing With Emerging Memories
DOI:10.1109/MC.2025.3615214.png)
摘要
En 中文
存储器件如今不仅仅是用于存储信息。借鉴生物神经系统的原理,新兴存储器直接参与计算,以构建强大的人工智能系统。
Keyword:
Neuromorphic engineering
Computational modeling
Biological system modeling
Brain modeling
Throughput
Hardware
Energy efficiency
Trajectory
Biological information theory
Standards
期刊
IF:
2.3
论文数:
207
被引数:
7.5K
机构
引用论文
Progress and Challenges for Memtransistors in Neuromorphic Circuits and Systems神经形态电路和系统中记忆晶体管的进展和挑战
ADVANCED MATERIALS
IF26.8
Optimization of non-linear conductance modulation based on metal oxide memristors基于金属氧化物忆阻器的非线性电导调制优化
An Adaptive Intelligent System Based on Energy-Efficient Synaptic Resistor Circuits with Fast Real-Time Learning基于节能型突触电阻电路的快速实时学习自适应智能系统
Brain-inspired computing with memristors: Challenges in devices, circuits, and systems使用忆阻器的脑启发计算: 设备,电路和系统中的挑战
APPLIED PHYSICS REVIEWS
IF11.6
Simultaneous emulation of synaptic and intrinsic plasticity using a memristive synapse使用忆阻突触同时模拟突触和内在可塑性
NATURE COMMUNICATIONS
IF15.7
A review of learning in biologically plausible spiking neural networks生物似是而非的尖峰神经网络学习综述
NEURAL NETWORKS
IF6.3

