most citedPhysical Neural Networks with Self-Learning Capabilities

9 citations · 11 across the 2 of their papers we have counts for

collaborators

2 papers

cond-mat.dis-nn2025★ 2 cited

A self-learning magnetic Hopfield neural network with intrinsic gradient descent adaption

Chang Niu, Huanyu Zhang, Chuanlong Xu +14

Physical neural networks using physical materials and devices to mimic synapses and neurons offer an energy-efficient way to implement artificial neural networks. Yet, training phy…

physics.app-ph2024★ 9 cited

Physical Neural Networks with Self-Learning Capabilities

Weichao Yu, Hangwen Guo, Jiang Xiao +1

Physical neural networks are artificial neural networks that mimic synapses and neurons using physical systems or materials. These networks harness the distinctive characteristics…