3 papers
cs.NE2026
Reconstructing Spiking Neural Networks Using a Single Neuron with Autapses
Wuque Cai, Hongze Sun, Quan Tang +6
Spiking neural networks (SNNs) are promising for neuromorphic computing, but high-performing models still rely on dense multilayer architectures with substantial communication and…
cs.LG2026
Toward Efficient Spiking Transformers: Synapse Pruning Meets Synergistic Learning-Based Compensation
Hongze Sun, Wuque Cai, Duo Chen +7
As a foundational architecture of artificial intelligence models, Transformer has been recently adapted to spiking neural networks with promising performance across various tasks.…
physics.app-ph2025
Intermediate Resistive State in Wafer-Scale MoS Memristors through Lateral Silver Filament Growth for Artificial Synapse Applications
Yuan Fa, Milan Buttberg, Ke Ran +17
Memristors based on two-dimensional materials (2DMs) have garnered significant attention due to their fast resistive switching (RS) behavior and atomic-level thickness, which enabl…