Author

Xin-Yi Chen

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Open access Oct 2026

Spiking Neural Networks for Temporal Processing: Status Quo and Future Prospects.

Temporal processing is fundamental for biological and artificial intelligence systems, as it enables the comprehension of dynamic environments and facilitates timely responses. Spiking neural networks (SNNs) are well-suited for efficient temporal processing owing to their rich neuronal dynamics and event-driven computa...

Chen-Xiang Ma, Xin-Yi Chen, Yan-Chen Li et al. · IEEE Transactions on Neural... · 0 citations

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. · IEEE Transactions on Neural... · 16 citations · ⚡4