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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Chenxiang Ma

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Aug 2025

Multi-Plasticity Synergy with Adaptive Mechanism Assignment for Training Spiking Neural Networks

Spiking Neural Networks (SNNs) are promising brain-inspired models known for low power consumption and superior potential for temporal processing, but identifying suitable learning mechanisms remains a challenge. Despite the presence of multiple coexisting learning strategies in the brain, current SNN training methods...

Zhi-Bin Li, Hai-Teng Wang, Yu-Zhe Liu et al. · 1 citation
Open access Aug 2024

PMSN: A Parallel Multi-Compartment Spiking Neuron for Multiscale Temporal Processing.

The proposed parallel multi-compartment spiking neuron (PMSN) presents a promising solution to harness the computational advantages of detailed biological neurons, enabling high-performance and efficient temporal processing on neuromorphic computing systems.

Xinyi Chen, Jibin Wu, Chenxiang Ma et al. · 16 citations · ⚡4

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